Artificial intelligence (AI) Books

Book SynopsisThis book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.Table of ContentsUncertainty estimation and modelling.- Out of Distribution management and domain shift robustness.- Bayesian deep learning and uncertainty calibration.

Read more less

Book SynopsisThis book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows:​ advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations.Table of ContentsAdvanced Imaging, Segmentation, and Ultrasound Techniques.- Predictive Analysis, Learning, and Classification.- Multimodal Imaging, Reconstruction, and Real-time Applications.- Diagnostic Enhancements and Novel Ultrasound Innovations.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023.The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology.Table of ContentsTransformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation.- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN.- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI.- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift.- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction.- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis.- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry.- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels.

Read more less

Book SynopsisAuthored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.Table of ContentsFoundations of Decision.- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment.- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment.- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 21st International Symposium on Automated Technology for Verification and Analysis, ATVA 2023, held in Singapore, in October 2023. The symposium intends to promote research in theoretical and practical aspects of automated analysis, verification and synthesis by providing a forum for interaction between regional and international research communities and industry in related areas. The 30 regular papers presented together with 7 tool papers were carefully reviewed and selected from 150 submissions.The papers are divided into the following topical sub-headings: Temporal logics, Data structures and heuristics, Verification of programs and hardware. Table of ContentsTemporal logics.- Data structures and heuristics.- Verification of programs and hardware.- Tool papers.

Read more less

Book SynopsisThe three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. Table of ContentsEmbracing data irregularities in multivariate time series with Recurrent and Graph Neural Networks.- Regulation and Ethics of Facial Recognition Systems: an analysis of cases in the Court of Appeal in the State of São Paulo.- A combinatorial optimization model and polynomial time heuristic for a problem of finding specific structural patterns in networks.- Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets.- Exploring Text Decoding Methods for Portuguese Legal Text Generation.- Community Detection for Multi-Label Classification.- A Monte Carlo Algorithm for Time-Constrained General Game Playing.- Alpha-MCMP: trade-offs between probability and cost in SSPs with the MCMP criterion.- Specifying Preferences over Policies using Branching Time Temporal Logic.- Logic-based Explanations for Linear Support Vector Classifiers with Reject Option.- The Multi-Attribute Fairer Cover Problem.- A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem.- Allocating Dynamic and Finite Resources to a Set of Known Tasks.- A Multi-algorithm approach to the optimization of thermal power plants operation.- An incremental MaxSAT-based model to learn interpretable and balanced classification rules.- d-CC Integrals: generalizing CC-integrals by restricted dissimilarity functions with applications to fuzzy-rule based systems.- FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction.- Hierarchical Time-aware Approach for Video Summarization.- Analyzing college student dropout risk prediction in real data using walk-forward validation.- The artificial intelligence as a technological resource in the application of tasks for the development of joint attention in children with autism.- Machine teaching: an explainable machine learning model for individualized education.- BLUEX: a benchmark based on Brazilian Leading Universities Entrance eXams.- Towards Generating P-Contrastive Explanations for Goal Selection in extended-BDI Agents.- Applying Theory of Mind to Multi-Agent Systems: A Systematic Literature Review.- A Spin-off Version of Jason for IoT and Embedded Multiagent Systems.- Hybrid Multilevel Explanation: A new approach for explaining regression models.- Explainability of COVID-19 Classification Models using Dimensionality Reduction of SHAP values.- An explainable model to support the decision about the appropriate therapy protocol for AML.- Bayes and Laplace versus the world: A new label attack approach in federated environments based on Bayesian Neural Networks.- MAT-Tree: A Tree-based Method for Multiple Aspect Trajectory Clustering.

Read more less

Book SynopsisThe three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. Table of ContentsTransformer Model for Fault Detection From Brazilian Pre-Salt Seismic Data.- Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders.- Dog Face Recognition Using Vision Transformer.- Convolutional neural networks for the molecular detection of Covid-19.- Hierarchical Graph Convolutional Networks for Image Classification.- Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach.- Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis.- Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies.- Dog Face Recognition using Deep Feature Embeddings.- Clinical oncology textual notes analysis using machine learning and deep learning.- EfficientDeepLab For Automated Trachea Segmentation On Medical Images.- Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet.- Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers.- Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence.- Deep Reinforcement Learning for Voltage Control in Power Systems.- Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging.- Occluded Face In-painting Using Generative Adversarial Networks - A ReviewClassification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms.- Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design.- AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification.- Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset.- Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification.- A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification.- A framework for characterizing what makes an instance hard to classify.- Physicochemical Properties for Promoter Classification.- Critical analysis of AI indicators in terms of weighting and aggregation approaches.- Estimating Code Running Time Complexity with Machine LearningThe Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.

Read more less

Book SynopsisThe three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. Table of ContentsMulti-objective Genetic Algorithms Applied to the Optimization of Expanded Genetic Codes.- Genetic Algorithms with Optimality Cuts to the Max-Cut Problem.- Assessment of robust multi-objective evolutionary algorithms on robust and noisy environments.- Binary Flying Squirrel Optimizer for Feature Selection.- Fitness Landscape Analysis of TPOT using Local Optima Network.- Optimization Strategies for BERT-based Named Entity Recognition.- FlexCon-CE: A Semi-supervised Method with an Ensemble-based Adaptive Confidence.- Single Image Super-Resolution Based on Capsule Neural Networks.- Development of a Deep Learning Model for the Classification of Mosquito Larvae Images.- A Simple and Low-cost Method for Leaf Surface Dimension Estimation Based on Digital Images.- Crop Row Line Detection with Auxiliary Segmentation Task.- Multiple object tracking in native bee hives: A case study with Jataí in the field.- An Open Source Eye Gaze Tracker system to perform remote user testing evaluations.- Who Killed the Winograd Schema Challenge?Sabiá: Portuguese Large Language Models.- Disambiguation of Universal Dependencies Part-of-Speech Tags of Closed Class Words in Portuguese.- Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain.- LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain.- A Framework for Controversial Political Topics Identification using Twitter Data.- Leveraging Sign Language Processing with Formal SignWriting and Deep Learning ArchitecturesA clustering validation index based on semantic description.- Detecting Multiple Epidemic Sources in Network Epidemics using Graph Neural Networks.- Prediction of cancer-related miRNA targets using an integrative heterogeneous Graph Neural Network-based method.- Time series forecasting of COVID-19 cases in Brazil with GNN and mobility networks.- Federated Learning and Mel-spectrograms for Physical Violence Detection in Audio.- Police Report Similarity Search: a case study.- Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain.- A Tool for Measuring Energy Consumption in Data Stream Mining.- Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario.- Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis.- Investigation of deep Active Self-Learning algorithms applied to named entity recognition.

Read more less

Book Synopsis​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 11th Iberoamerican Conference on Applications and Usability of Interactive TV, jAUTI 2022, Cordoba, Spain, November 17–18, 2022. The 9 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Content Creation and Interaction, Audiovisual Consumption, e-inclusion, Digital Infrastructure. Table of Contents​Content Creation and Interaction.- Personalized Web-based Contents, generated through a Cross-media Environment, as Additional Information to Documentary Video.- MNEMOSCOPE - A model for digital co-creation and visualization of collective memories.- Dynamic configuration of panoramic virtual tours.- Audiovisual Consumption.- Personalized notifications for the TV ecosystem: field trial of an iTV solution.- Combining Text-To-Speech Services with Conventional Voiceover for News Oralization.- e-inclusion.- iTV to connect generations: a field trial of a solution to send personalized notifications.- Digital Infrastructure.- Encryption of Messages and Additional Information in Digital Terrestrial Television’s Transport Stream Using PSI/SI Tables.- On Using a Microearthquake Recognition System for an Early Warning System at Cotopaxi Volcano.- Using eye tracking to map attention in an EEG-based brainwave graphic visualization system.-Evaluating Perceived Value and Intention to Continue Using Over-the-Top Services in Latin America: A Case Study in Quito, Ecuador.

Read more less

Book SynopsisThis book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6–8, 2022. The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. Table of ContentsPapers.- Automatic Threshold RanSaC Algorithms for Pose Estimation Tasks.- Semi-Automated Generation of Accurate Ground-Truth for 3D Object Detection.- A Quantitative and Qualitative Analysis on a GAN-based Face Mask Removal on Masked Images and Videos.- A Quantitative and Qualitative Analysis on a GAN-based Face Mask Removal on Masked Images and Videos.- Partial Alignment of Time Series for Action and Activity Prediction.- Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition.- ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data.- Influence of Errors on the Evaluation of Text Classification Systems.- Autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces.- The Electrodermal Activity of Player Experience in Virtual Reality Games: An Extended Evaluation of the Phasic Component.- MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage.- DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers.- Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset.- Transformers in Unsupervised Structure-from-Motion.- A Study of Aerial Image-based 3D Reconstructions in a Metropolitan Area.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.Table of ContentsPharmaceutical Data Analysis.- Drug-target interaction prediction based on drug subgraph fingerprint extraction strategy and subgraph attention mechanism.- Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.- Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.- MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction.- Multi-Level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.- Individual Functional Network Abnormalities Mapping via Graph Representation-based Neural Architecture Search.- A novel application of a mutual information measure for analysing temporal changes in healthcare network graphs.- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.- Text Classification.- ParaNet:Parallel Networks with Pre-trained Models for Text Classification.- Open Text Classification Based on Dynamic Boundary Balance.- A Prompt Tuning Method for Chinese Medical Text Classification.- TabMentor: Detect Errors on Tabular Data with Noisy Labels.- Label-aware Hierarchical Contrastive Domain Adaptation for Cross-network Node Classification.- Semi-supervised classification based on Graph Convolution Encoder Representations from BERT.- Global Balanced Text Classification for Stable Disease Diagnosis.- Graph.- Dominance Maximization in Uncertain Graphs.- LAGCL: Towards Stable and Automated Graph Contrastive Learning.- Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model.- Common-Truss-based Community Search on Multilayer Graphs.- Learning To Predict Shortest Path Distance.- Efficient Regular Path Query Evaluation with Structural Path Constraints.EnSpeciVAT: Enhanced SpeciVAT for Cluster Tendency Identification in Graphs.- Pessimistic Adversarially Regularized Learning for Graph Embedding.- M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning.

Read more less

Book SynopsisThese two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.Table of ContentsUncertainty Management and Decision Making.- Optimization and Statistical Methods.- Economic Application

Read more less

Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Applied Informatics, ICAI 2023, which took place in Guayaquil, Ecuador, in October 2023.The 30 papers presented in this volume were carefully reviewed and selected from 132 submissions. The contributions are divided into the following thematic blocks: Artificial Intelligence; Data Analysis; Decision Systems; Enterprise Information Systems Applications; Geoinformatics; Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Virtual and Augmented Reality.Table of ContentsArtificial Intelligence.- Data Analysis.- Decision Systems.- Enterprise Information Systems Applications.- Geoinformatics.- Health Care Information Systems.- Interdisciplinary Information Studies.- Learning Management Systems.- Virtual and Augmented Reality.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of 7 workshops, held at the 42nd International Conference on Conceptual Modeling, ER 2023, held in Lisbon, Portugal, during November 6-9, 2023. The 28 full and 2 short papers were carefully reviewed and selected out of 53 submissions. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models. The following workshops are included in this volume: CMLS – 4th International Workshop on Conceptual Modeling for Life Sciences; CMOMM4FAIR – Third Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable, and Reusable (FAIR) Data; EmpER – 6th International Workshop on Empirical Methods in Conceptual Modeling; JUSMOD – Second International Workshop on Digital Justice, Digital Law and Conceptual Modeling; OntoCom – 9th International Workshop on Ontologies and Conceptual Modeling; QUAMES – 4th International Workshop on Quality and Measurement of Model-Driven Software Development; SmartFood – First Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems. Table of Contents​CMLS: An Ontology for Breast Cancer Screening.- Integrating Nuclear Medicine and Radiopharmacy Data: A Conceptual Model for Precision Medicine and Enhanced Patient Care.- Comprehensive Representation of Variation Interpretation Data via Conceptual Modeling.- Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature.- CMOMM4FAIR: euFAIR: A Digital Tool for Assessing the FAIR Principles.- EmpER: Empirical Exploration of Open-Source Issues for Predicting Privacy Compliance.- Human-Centred Conceptual Modelling for Re-Designing Urban Planning.- Using Knowledge Graphs to Generate SQL Queries from Textual Specifications.- A Systematic Approach to Generate TOGAF Artifacts Founded on Multiple Data Sources and Ontology.- Bridging the Gap: Conceptual Modeling and Machine Learning for Web Portals.- JUSMOD: New-Generation Templates Facilitating the Shift from Documents to Data in the Italian Judiciary.- Supervised Learning, Explanation and Interpretation from Pretrial Detention Decisions by Italian and Brazilian Supreme Courts.- Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study.- Identification and Visualization of Legal Definitions and Legal Term Relations.- Comparative Analysis of Disinformation Regulations: A Preliminary Analysis.- Privacy-Preserving Data Integration for Digital Justice.- Public Procurement Analysis with Process Discovery Techniques and Event Log Enrichment.- Formalising Legal Knowledge of Sri Lankan Civil Appellate High Court Domain from Ontological Perspective.- OntoCom: Towards Semantics for Abstractions in Ontology-Driven Conceptual Modeling.- Misalignments of Social and Numerical Identity – An Ontological Analysis.- Using an Ontology for Defining Semantics of Fractal Enterprise Model.- One Model to Rule Them All: A Demonstration of Ontology-Driven Minimum Viable Product Development for a Local Tourism Platform.- Enhancing Requirement-Information Mapping for Sustainable Buildings: Introducing the SFIR Ontology.- On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies.- QUAMES: Exploring Understandability in Socio-Technical Models for Data Protection Analysis: Results from a Focus Group.- FlowTGE: Automating Functional Testing of Executable Business Process Models Based on BPMN.- An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence.- SmartFood: Unveiling major Knowledge Organization Systems’ artifacts for Agriculture with network graphs.- Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption.- CoffeeWKG: A Weather Knowledge Graph for Coffee Regions in Colombia.

Read more less

Book SynopsisThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023.The 33 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: Argumentation and Logic Programming, Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.Table of Contents​Argumentation and Logic Programming.- ABALearn: An automated logic-based learning system for ABA frameworks.- Deriving Dependency Graphs from Abstract Argumentation Frameworks.- ReConf: An Automatic Context-based Software Reconfiguration Tool for Autonomous Vehicles using Answer-Set Programming.- Mining contrast sequential patterns with ASP.- Ontologies.- An ontological modelling of reason-based preferences.- A Defeasible Description Logic for Abduction.- Ontology-based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry.- Planning.- A Structure-Sensitive Translation from Hybrid to Numeric Planning.- Intrinsically Motivated High-Level Planning for Agent Exploration.- Natural Language Processing.- Mining Argument Components in Essays at Different Levels.- Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations.- Scaling Large Language Models to the Extreme: Neural Semantic Processing of Multiple Tasks in Italian.- Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements.- Machine Learning.- CENTAURO: an Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.- Toward Novel Optimizers: A Moreau-Yosida View of Gradient-based Learning.- Mastering the Card Game of Jaipur through Zero-knowledge Self-Play Reinforcement Learning and Action Masks.- Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups.- A multi-label classification study for the prediction of long-covid syndrome.- PAUL-2: An Upgraded Transformer-Based Redesign of the Algorithmic Composer PAUL.- Robotics and Perception.- Understanding the Effect of Deep Ensembles in LiDAR-based Place Recognition.- Enanching LiDAR performance: Robust De-skewing Exclusively Relying o n Range Measurements.- Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study.- Embedding Shepard's Interpolation into CNN Models for Unguided Depth Completion.- Performance evaluation of depth completion neural networks for various RGB-D camera technologies in indoor scenario.- Hybrid AI.- Inference in Probabilistic Answer Set Programming under the Credal Semantics.- Efficient Modal Decision Trees.- Clique-TF-IDF: A New Partitioning Framework based on Dense Substructures.- Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language.- Applications of AI.- Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings.- Combining genetic algorithms and temporal constraint satisfaction for recommending personalized tourist itineraries.- Towards Automatic Digitalization of Railway Engineering Schematics.- Election Manipulation in Social Networks with Single-Peaked Agents.- Learning to Prompt in the Classroom to Understand AI Limits: A pilot study.

Read more less

Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

Read more less

Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

Read more less

Book SynopsisThis two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11–15, 2023.The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works.The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.Table of Contents​Virtual Worlds, Performance, Games and Play.- As If They Were Here: The Impact of Volumetric Video on Presence in Immersive Augmented Reality Storytelling Traversing Space in The Under Presents (2019), a VR Game.- ”It’s About What We Take With Us And What We Leave Behind”: Investigating the Transformative Potential of Pervasive Games with Various Stakeholders.- Communal Ritual Play: Repetition and Interpretation of Game Narratives Across Communities.- Bridging the gap between the physical and the virtual in tabletop role playing games: exploring immersive VR tabletops.- Circulation and Narrative in a Virtual Environment Detecting Player Preference Shifts in an Experience Managed Environment.- Applications and Case Studies.- ”Bury Me, My Love”: the boundary between reality and fiction in IDNs for smartphone.- Traversing boundaries when translating a literary IDN into several languages: a case study.- The Ethical Colonizer? Grand Strategy Games, Colonization, and New Ways of Engaging Moral Choices.- Gaming the System: Case Study in Investigative Journalism and Playful Interactive Narrative Design to Explain Systemic Bias in Immigration Policy.- Fostering Interdisciplinary Learning for Elementary Students through Developing Interactive Digital Stories.- Merging site recreation and museum exhibition in archaeology exhibition.- Teaching Interactive Digital Narrative Through Found Photography.- Late Breaking Works.- Figure of speech detection and generation as a service in IDN authoring support.- ChatGPT as a Narrative Structure Interpreter.- Curatorial Challenges of Exhibiting VR IDN’s in Film Festival Formats.- What really happened here? Dealing with uncertainty in The Book of Distance: a critical historiography perspective.- A theory-of-mind game for the early detection of frontotemporal dementia.- Towards Procedural Generation of Narrative Puzzles for Open World Games.- Mind Stories: a Story Making game - From Narrative Therapy to Interactive Narrative Therapy. Empathic Experiences of Visual Conditions with Virtual Reality.- The Chronicles of ChatGPT: Generating and Evaluating Visual Novel Narratives on Climate Change Through ChatGPT.- A Crossmedia Storytelling Platform to Empower Vulnerable Groups for IT Security.- Introducing the Comic Automaton: Interaction Design Options for an Interactive Comic for Higher Education.- Comic for Higher Education Dataset Collected Using Illustration Cards.- Analyzing Audience Comments: Improving Interactive Narrative with ChatGPT.- Integrating Storytelling and Making: A Case Study in Elementary School.- Designing a Language Model-Based Authoring Tool Prototype for Interactive Storytelling.- Alice Dali MR: A Mixed Reality Interactive Narrative Experience.- Exploring the Union Between Procedural Narrative and Procedural Content Generation.- A Design-Oriented Framework for Interactive Digital Narrative in Virtual Reality - Focus on Branching Narrative and Agency.- What Is Waiting for Us at the End? Inherent Biases of Game Story Endings in Large Language Models.- Breaking Bad: Unraveling Influences and Risks of User Inputs to ChatGPT for Game Story Generation.- Playing Story Creation Games With Large Language Models: Experiments With GPT-3.5.- Traversing language, the author, and the word in Amira Hanafi’s A Dictionary of the Revolution.

Read more less

Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.Table of ContentsAn ontology for Tuberculosis Surveillance System.- Should I Stay or Should I Go: A New Reasoner for Description Logic.- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model.- Defeasible Reasoning with Knowledge Graphs.- Recommendation of Learning Paths based on Open Educational Resources.- An enterprise architecture for interpersonal activity knowledge management.- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview.- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs.- Towards a Framework for Seismic Data.- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions.- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph.- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study.- A Modular Ontology for MODS – Metadata Object Description Schema.- A Topic Model for the Data Web.- Automating the Generation of Competency Questions for Ontologies with AgOCQs.- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph.- Ontology-Based Models of Chatbots for Populating Knowledge Graphs.- An Ontology for Reasoning about Fairness in Regression and Machine Learning.- SCIVO: Skills to Career with Interests and Values Ontology.- Topic Modeling for Skill Extraction from Job Postings.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.Table of ContentsGenerative AI for Explainable Automated Fact Checking on the FactEx: a New Benchmark Dataset.- Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media.- faKy: A Feature Extraction Library to Detect the Truthfulness of a Text.- From sharing misinformation to debunking it: How Coordinated Image Text Sharing Behaviour is used in political campaigns on Facebook.- The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content.- Lost in Transformation: Rediscovering LLM-generated Campaigns in Social Media.- The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election.- Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis.- Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News.- Holistic Analysis of Organised Misinformation Activity in Social Networks.- Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.- ChatGPT as a commenter to the news: can LLMs generate human-like opinions?.- Is foreign language news more or less credible than native language news? Examining the foreign language effect on credibility perceptions.

Read more less

Book SynopsisThe two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023.The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: ​automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.Table of Contents​Industrial Speech and Language Technology.- Analysing Breathing Patterns in Reading and Spontaneous Speech.- Audio-Visual Speaker Verification via Joint Cross Attention.- A Novel Scheme to Classify Read and Spontaneous Speech.- Analysis of a Hinglish ASR System’s Performance for Fraud Detection.- Anomaly Detection in Speech: A Comprehensive Approach for Enhanced Speech Analysis.- CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds.- Speech Technology for Under-Resourced Languages.- Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages.- Phone Durations Modeling for Livvi-Karelian ASR.- Significance of Indic Self-Supervised Speech Representations for Indic Under-Resourced ASR.- Study of Various End-to-End Keyword Spotting Systems on the Bengali language under Low-Resource Condition.- Bridging the Gap: Towards Linguistic Resource Development for the Low-Resource Lambani Language.- Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children’s ASR.- Code-Mixed Text-to-Speech Synthesis under Low-Resource Constraints.- An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language.- An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language.- Cross Lingual Style Transfer using Multiscale Loss Function for Soliga: A Low Resource Tribal Language.- Preliminary Analysis of Lambani Vowels and Vowel Classification using Acoustic Feature.- Curriculum Learning based Approach for Faster Convergence of TTS Model.- Rhythm Measures and Language Endangerment: the Case of Deori.- Konkani Phonetic Transcription System 1.0.- Speech Analysis and Synthesis.- E-TTS: Expressive Text-to-Speech Synthesis for Hindi using Data Augmentation.- Direct vs Cascaded Speech-to-Speech Translation using Transformer.- Deep Learning based Speech Quality Assessment Focusing on Noise Effects.- Quantifying the Emotional Landscape of Music with Three Dimensions.- Analysis of Mandarin vs. English Language for Emotional Voice Conversion.- Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units.- A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection.- On the Asymptotic Behaviour of the Speech Signal.- Improvement of Audio-Visual Keyword Spotting System Accuracy using Excitation Source Feature.- Developing a Question Answering System on the material of Holocaust survivors’ testimonies in Russian.- Enhancing Children’s Short Utterance based ASV using Data Augmentation Techniques and Feature Concatenation Approach.- Studying the Effectiveness of Data Augmentation and Frequency-Domain Linear Prediction Coefficients in Children’s Speaker Verification under Low-Resource Conditions.- Constant-Q based Harmonic and Pitch Features for Normal vs Pathological Infant Cry Classification.- Robustness of Whisper Features for Infant Cry Classification.- Speaker and Language Identification, Verification, and Diarization.- I-MSV 2022: Indic-Multilingual and Multi-Sensor Speaker Verification Challenge.- Multi-Task Learning over Mixup Variants for the Speaker Verification Task.- Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.- Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.- Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios.- Enhancing Language Identification in Indian Context through Exploiting Learned Features with Wav2Vec2.0.- Design and Development of Voice OTP Authentication System.- End-to-End Native Language Identification using a Modified Vision Transformer(ViT) from L2 English Speech.- Dialect Identification in Ao using Modulation-based Representation.- Self-Supervised Speaker Verification Employing Augmentation Mix and Self-Augmented Training-based Clustering.

Read more less

Book SynopsisThese two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28–December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.Table of ContentsProcesses and workflows.- Service descriptions, tags, discovery and recommendation.- Service frameworks for IoT, mobile and smart environments.- Industrial papers.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 19th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2023, held in Amsterdam, The Netherlands, during September 7–8, 2023.The 10 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: design and analysis of algorithms, models of computation and experimental analysis.Table of ContentsSegment Visibility for k-transmitters.- Conflict Resolution in Arbitrary Hypergraphs.- Dispatching the Minimum Number of UAVs in Neighborhood IoT Networks.- Mutual Visibility with ASYNC Luminous Robots having Inaccurate Movements.- Minimum Degree and Connectivity in 1-Dimensional Line of Sight Networks.- WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-up Radio.- Byzantine Fault-Tolerant Protocols for $(n, f)$-evacuation from a Circle.- Temporal Reachability Dominating Sets: contagion in temporal graphs.- Fair Scheduling Under Packet Management: Competitive Analysis of Age of Information.- Run for Cover: Dominating Set via Mobile Agents.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 4th Southern African Conference on Artificial Intelligence Research, SACAIR 2023, held in Muildersdrift, South Africa, in December 2023. The 22 full papers presented in these proceedings were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: Responsible and Ethical AI Track; Socio-Technical and Human-Centered AI Track; Algorithmic, and Data Driven and Symbolic AI.Table of ContentsResponsible and Ethical AI track.- Emerging AI Discourses and Policies in the EU: Implications for Evolving AI Governance.- Intergenerational Justice as Driver for Responsible AI.- AI Literacy: A Primary Good.- Exploring the ethical and societal concerns of Generative AI in Internet of Things (IoT) environments.- Warfare in the Age of AI: A Critical Evaluation of ArkinÕs Case for Ethical Autonomy in Unmanned Systems.- Socio-technical and human-centered AI track.- The decision criteria used by large organisations in South Africa for adopting Artificial Intelligence.- Let’s play games: Using no-code AI to reduce human cognitive load during AI solution development.- Algorithmic, Data Driven and Symbolic AI.- Unit-Based Genetic Algorithmic Approach for Optimal Multipurpose Batch Plant Scheduling.- Investigating the extent and usability of webtext available in South Africa’s official languages.- Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices.- Extending Defeasible Reasoning Beyond Rational Closure.- Sequence Based Deep Neural Networks for Channel Estimation in Vehicular Communication Systems.- Comparative Study of Image Resolution Techniques in the Detection of Cancer Using Neural Networks.- Investigating Frequent Pattern-based Models for Improving Community Policing in South Africa.- Financial Inclusion in Sub-Saharan Emerging Markets: The Application of Deep Learning to Improve Determinants.- Viability of Convolutional Variational Autoencoders for Lifelong Class Incremental Similarity Learning.- PuoBERTa: Training and evaluation of a curated language model for Setswana.- Hierarchical Text Classification using Language Models with Global Label-wise Attention Mechanisms.- Multimodal Misinformation Detection in a South African Social Media Environment.- Improving Semi-Supervised Learning in Generative Adversarial Networks.- Impacts of Architectural Enhancements on Sequential Recommendation Models.- A comparative study of over-sampling techniques as applied to seismic events.

Read more less

Book SynopsisThis book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).Table of ContentsA combination of Active Learning and Deep Learning for improving breast cancer prediction.- A Novel Arm Bone Fracture Detection Using Deep Learning.- A systematic review of Artificial Intelligence in Geographic Information Systems.- Build an effective system for container code recognition.- Building an Efficient Retriever System with Limited Resources.- Deep Learning based Coconut Fruit Maturity Classification.- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

Read more less

Book SynopsisThe two-volume set LNCS 14461 and LNCS 14462 constitutes the refereed proceedings of the 17th International Conference on Combinatorial Optimization and Applications, COCOA 2023, held in Hawaii, HI, USA, during December 15–17, 2023. The 73 full papers included in the proceedings were carefully reviewed and selected from 117 submissions. They were organized in topical sections as follows: Part I: Optimization in graphs; scheduling; set-related optimization; applied optimization and algorithm; Graph planer and others;Part II: Modeling and algorithms; complexity and approximation; combinatorics and computing; optimization and algorithms; extreme graph and others; machine learning, blockchain and others.Table of ContentsModeling and Algorithms.- ​Differentiable Discrete Optimization using Dataless Neural Networks.- When Advertising meets Assortment Planning: Joint Advertising and Assortment Optimization under Multinomial Logit Model.- Twin-treewidth: A single-exponential logic-based approach.- Highway Preferential Attachment Models for Geographic Routing.- Complexity and Approximation.- Restricted Holant Dichotomy on Domains 3 and 4.- Earliest Deadline First is a $2$-approximation for DARP with Time Windows.- Improved approximation for broadcasting in k-Path Graphs.- The fine-grained complexity of approximately counting proper connected colorings (extended abstract).- Combinatorics and Computing.- Strong edge coloring of subquartic graphs.- Two multicolor Ramsey numbers involving bipartite graphs.- Mechanism Design for Time-Varying Value Tasks in High-Load Edge Computing Markets.- Computing random r-orthogonal Latin squares.- Optimization and Algorithms.- A Two-stage Seeds Algorithm for Competitive Influence Maximization considering User Demand.- Practical Attribute-Based Multi-Keyword Search Scheme with Sensitive Information Hiding for Cloud Storage Systems.- Testing Higher-order Clusterability on graphs.- The $2$-mixed-center color spanning problem.- A Dynamic Parameter Adaptive Path Planning Algorithm.- On the Mating Between a Polygonal Curve and a Convex Polygon.- A Faster Parameterized Algorithm for Bipartite 1-Sided Vertex Explosion.- Multi-Winner Approval Voting with Grouped Voters.- EFX Allocation to Chores Over Small Graph.- Extreme Graph and Others.- Zero-visibility Cops and Robber game on Cage graph.- Online Facility Assignment for General Layout of Servers on a Line.- Guarding Precise and Imprecise Polyhedral Terrains with Segments.- The Bag-Based Search: A meta-algorithm to construct tractable logical circuits for graphs based on tree decomposition.- On Problems Related to Absent Subsequences.- Some Combinatorial Algorithms on the Dominating Number of Anti-Rank k Hypergraphs.- Parameterized and exact-exponential algorithms for the read-once integer refutation problem in UTVPI constraints.- Critical $(P_5,dart)$-Free Graphs.- Graph Clustering through Users' Properties and Social Influence.- Machine Learning, Blockchain and Others.- Incorporating Neural Point Process-based Temporal Feature for Rumor Detection.- Improving Contraction Hierarchies by Combining with All-Pairs Shortest Paths Problem Algorithms.- Information Theory of Blockchain Systems.- Machine Learning with Low Resource Data from Psychiatric Clinics.- Single Image Dehazing Based on Dynamic Convolution and Transformer.- Reinforcement Learning for Combating Cyberbullying in Online Social Networks.

Read more less

Book SynopsisThis volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis. Table of ContentsHuman Activity Segmentation Challenge.- Human Activity Segmentation Challenge@ECML/PKDD’23.- Change points detection in multivariate signal applied to human activity segmentation.- Change Point Detection via Synthetic Signals.- Oral Presentation.- Clustering time series with k-medoids based algorithms.- Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting.- RED CoMETS: an ensemble classifier for symbolically represented multivariate time series.- Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving.- Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.- ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging.- Poster Presentation.- Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks.- Evaluating Explanation Methods for Multivariate Time SeriesClassification.- tGLAD: A sparse graph recovery based approach for multivariate time series segmentation.- Designing a New Search Space for Multivariate Time-Series Neural Architecture Search.- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms.- Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Behaviours and Detect Health Issues.- Exploiting Context and Attention with Recurrent Neural Network for Sensor Time Series Prediction.- Rail Crack Propagation Forecasting Using Multi-horizons RNNs.- Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies.- Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media.

Read more less

Book SynopsisLeveraging Quantum Artificial Intelligence for Intelligent Face Recognition on the Internet of Medical Things (IoMT) for Smart City Surveillance.- Enhancing Privacy and Security for UAV and IoT Enabled Drones An Intelligent Integration of Blockchain, AI, and Quantum Computing.- Harnessing the Synergy of Blockchain, Artificial Intelligence, and Sustainable Energy for a Greener Future.- Impact of Artificial Intelligence on Compulsive Buyers.- Temperature and Humidity Optimization of Smart Greenhouses: Comparison Between Simulated Annealing and Genetic Algorithm.- Utilizing Fuzzy Logic for Autism Detection: An Expert System Framework.- Leveraging Sentiments Generated by AI to Manage Favorable Reviews.- Leveraging AI on images captured through drones for Solar Panel Fault Identification.- Optimizing Energy Usage: Genetic Algorithms Leading the Charge Toward Sustainability.- Novel Bat Algorithm with Cubic Cost Function for Thermal Economic Dispatch Problem Solving.

Read more less

Book SynopsisThis book presents many valuable tips for making decisions related to road traffic in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this volume, finds interest among people who face the daily challenge of searching for advanced solutions and practical applications in road traffic engineering. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the heuristic approach to assessing the performance efficiency of road intersections in urban environments from the resilience perspective, modeling the distribution of transport pollutants in a naturally ventilated road tunnel, development of a camera-based parking monitoring system with an automatic parking spot identification). In turn, due to a new approach to theoretical models (including, inter alia, problems with the safety of passengers at tram stops or energy-efficient radio platforms for the implementation of nodes of sensor networks), the publication also interests scientists and researchers carrying out research in this area. The publication entitled "Road Traffic Analysis, Theoretical Approaches and Practical Solutions" contains selected papers submitted to and presented at the 19th “Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering at the Silesian University of Technology. The conference took place on September 18–19, 2023, in Katowice (Poland).Table of ContentsDevelopment of a camera-based parking monitoring system with an automatic parking spot identification.- Energy-efficient radio platforms for implementation of nodes of sensor networks.- A heuristic approach to assess the performance efficiency of road intersections in urban environments from the resilience perspective.- The ecological footprint of embedded rail structures.- Vectors of development of mountain tricycles.

Read more less

Book SynopsisThis conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections: – WILE 2023: 16th Workshop on Intelligent Learning Environments – HIS 2023: 16th Workshop of Hybrid Intelligent Systems – CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and ApplicationsTable of ContentsArtificial intelligence. - Knowledge representation and reasoning.- Planning and scheduling.- Control methods.- Philosophical/theoretical foundations of artificial intelligence.- Computer vision.- Machine learning.- Symbolic and algebraic manipulation.- Simulation theory.- Robots.- Evolutionary computation.- Intelligent systems.- Natural language processing.- Bioinformatics.- Medical applications using AI.

Read more less

Book SynopsisFacial Recognition in the Public Space: Challenges and Perspectives.- Emotion Recognition: Benefits and Human Rights in VR Environments.- Facial Recognition Technologies (FRT) in Public Spaces and their Impact on Individual and Collective Behavior.- Enhancing Transparency of Political Micro-Targeting on Facebook.- Taking Responsibility: Who Should be Held Responsible for the Misuse and Unintended Consequences of Social Media's AI Algorithms.- Social Bots Spreading Disinformation About Finance: Research Trends, and Ethical Challenges.- Data Protection and Surveillance: Novel Pathways of an Ethical Data Economy.- The Responsible Implementation of Artificial Intelligence in Childcare.- AI in Pre-Employment Assessments; How Unbiased, Fair and Objective Is It.- AI-Controlled Autonomous Tractors in German Agriculture.

Read more less

Book Synopsis1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases.- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases.- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases.- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective.- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI.- 6. Prevalence of Dementia in India.- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles.- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges.- 9. Ethical considerations: Case Scenarios.

Read more less

Book SynopsisComparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning.- Reliability and sensitivity analysis of a wastewater treatment plant operating with two blowers as a single system.- A Review on Cardiovascular Disease / Heart Disease By Machine Learning Prediction.- A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of last 5 years.- Exploring Software Systems Engineering through complexity of code changes: A Study based on bugs count, features improvement and new add-ons.- Generating image captions in Hindi based on Encoder-Decoder based Deep Learning techniques.- Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modelling.- Analysis of Progressively Censored Repair Time of Airborne Communication Transceiver with Burr-Hatke Exponential Model.- Bug Prediction Techniques: Analysis and Review.- A Review on Kidney Failure Prediction Using Machine Learning Models.- Machine Learning Based Remaining Useful Life Estimation Concept and Case Study.- Modelling Software Reliability Growth incorporating Testing Coverage Function and Fault Reduction Factor.- Software Defect Prediction using Abstract Syntax Trees Features and Object - Oriented metrics.- A Review of Alzheimer's Disease Identification by Machine Learning.- Weighted Entropic and Divergence Models in Probability Spaces and their Solicitations for Influencing an Imprecise Distribution.- Considering multiplicative noise in a software reliability growth model using stochastic differential equation.- An Insight into Code Smell Detection Tool.- Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-Attribute Decision Making.- Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study.- Reliability Perspective of Software and Hardware Models.- Stress-Strength Modelling for a New Modified Lindley Distribution Under Progressively Censored Data.- Imperfect debugging, testing coverage, and compiler error-based SRGM with two types of faults under the uncertainty of the operating environment.- A statistical approach to estimate severe accident vehicle collision probability inside a multi-lane road tunnel with unidirectional traffic flow.   

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisDesigning a Collaborative Safety Training Experience in Virtual Reality.- Data-Efficient Student Profiling in Online Courses.- Understanding Practices, Needs and Challenges of Lifelong Learning Digitalization.- Exploring AI in Videogames: An Application to the Didactic Paradigm "the Virtual Class".- Generative Artificial Intelligence to Improve the Learning of Test-Driven Development.- Reflections on the implications of artificial intelligence in inclusive education.- Peek the Edu-Metaverse: from an Educational Framework to the AI Challenges for Biometrics.- Toward the Deployment of a Chatbot to Augment Computer Science Education.- Breaking Barriers in the Metaverse: An Exploration of Accessibility for Users with Disabilities.- BitStory-An Immersive Serious Game for Computer Science Education.- ProjectCoding-Applied Game for Learning Java.- The impact of music and metaverse on education: results of a scoping review.- Teachers' perceptions and opinions on e_ective learning through th

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisSTAM-SNN: Spatio-Temporal Associative Memory in Brain-inspired Spiking Neural Networks: Concepts and Perspectives.- Fast Multi-scale Batch-Learning Growing Neural Gas.- Conversion between Denavit-Hartenberg and Hayati conventions for calibration and forward kinematics of manipulators.- Stability and Stabilization Conditions for Switching Positive T-S Fuzzy Interval Observes.- Surgical Data Science: Emerging Trends and Future Pathways.- Which Random-Set Representation of a Fuzzy Set Is the Simplest.

Read more less

Book SynopsisA Machine Learning framework for improving Resources Process  and Energy efficiency towards a Sustainable Steel Industry.- Overall Writing Effectiveness Exploring Students Use of Large Language Models Pushing the Limits of Automated Text Generation.- Evaluating Room Occupancy with CO2 Monitoring in Schools A Student Participative Approach for Presence Based Heating Control.- Data driven Mobility And Transport Planning In Municipalities Smart Solutions For Limited Resources.- Investigating the Effect of Personal Emotional Score Display on Classroom Learning.

Read more less

Book SynopsisChapter 1. Foundations of Cybersecurity.- Chapter 2. Introduction to Zero Trust.- Chapter 3. Implementing Zero Trust Networks.- Chapter 4. Zero Trust for Cloud.- Chapter 5. Compliance and Governance in Zero Trust.- Chapter 6. Applications & Case Studies of Successful Zero Trust.- Chapter 7. Zero Trust Awareness: Creating A Culture Aware of Security.- Chapter 8. Challenges and Future Scope.

Read more less

Book SynopsisMisdirection attack in wireless sensor network using  threshold method.- Blockchain for data traceability in the agricultural sector.- Detection of fake URLs using deep LSTM architecture over Social Media.- Leveraging Blockchain for Secure Water Meter Reading.- A Hybrid Differential-Evolution-based approach to the sensor network localisation problem.- A Review on Physical Abuse Detection Techniques using Video Surveillance Systems.- Detection of Suspicious Activities at Hypervisor in Cloud Computing A Brief Study.- A Simple Genetic Algorithm for the Maximum Min Sum Dispersion Problem  Max MinSum DP and New Node Similarity based Variants.- Towards Analysis of Threat Modeling of Software Systems According to Key Criteria.- Deepfake Detection System for Facial Evidence Verification in Criminal Justice and its Legal and Ethical Implications.- A methodology to evaluate the security of block ciphers against neurocryptanalytic attacks.

Read more less

Book Synopsis

Read more less

Book SynopsisGeometrical Realization for Time Series Forecasting.- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute.- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks.- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes.- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure.- Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study.- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection.- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification.- Automating the Conducting of Surveys Using Large Language Models.- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0.- Self-Supervised Learning for Robust Surface Defect Detection.- Efficient Deep Neural Network Veri

Read more less