Description
Book Synopsis.- An Ensemble Approach to Predict Immunotherapy Efficacy in Non-Small Cell Lung Cancer using Digital Pathology.
.- An Integrated System for the Texture Analysis of Prostate Ultrasound Images Based on Different Pre-processing Schemes.
.- Automated Prostate Segmentation in Ultrasound Images Based on Different Pre-processing Schemes.
.- Balancing Accuracy and Energy: the Impact of Window Size on Sensor-based Human Activity Recognition.
.- Classifying cognitive states of Alzheimer’s Disease with machine learning using digital biomarkers from the Bio-Hermes study cohort.
.- Convolutional Autoencoder-based Dimensionality Reduction for EEG Microstate Analysis.
.- DADA-MED: Data-Augmented Dual Attention Model for Enhanced Medication Recommendations.
.- Diaphragmatic Motion Analysis in Neonates using Ultrasound Simulated Videos.
.- Enhancing Sound-Based Sleep Quality Assessment by Multi-modal Knowledge Distillation.
.- Exploring FIWARE-based Data Model for Data Sharing Platforms.
.- Functional Connectivity Disruptions in Alzheimer’s Disease: A Resting-State fMRI Classification Study.
.- Incorporating Medical Assistants in eHealth Environments Using an Agentic RAG Approach.
.- Normative Modeling of Functional Connectivity Alterations in Psychiatric Disorders and Chronic Pain: A Resting-State fMRI Approach.
.- On the Interplay of Epigenetics, ADHD, Decision Making and Digital Media Usage: an Adaptive Dynamical System Modelling Approach.
.- Optimized Machine Learning Models and Stacking Hybrid Approach for Chronic Kidney Disease Prediction.
.- Optimizing Alzheimer's Detection: A Comparative Analysis of Pre-Processing Techniques and FreeSurfer Integration with EfficientNetV2S.
.- Optimizing Life Insurance Risk Prediction: A Comparative Analysis of Traditional, Ensemble, and Deep Learning Models.
.- Proteomics, Neuropsychological and Demographics Multi-Modal Machine Learning Approach to Alzheimer's Disease Prediction on the Bio-Hermes Study Cohort.
.- Automating Industrial Quality Control: A Multimodal LLM and RAG Framework for Anomaly Detection.
.- Benchmarking Vision Language Models on German Factual Data.
.- Comparative Analysis and Evaluation of SLMs and LLMs for Stock Price Movement Prediction.
.- Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models.
.- Enhancing Cryptocurrency Sentiment Analysis with GPT-4: A Comparative Study.
.- Large Language Model-based Federated Zero-Shot Learning for Intrusion Detection in Smart Grids.
.- Leveraging Large Language Models for Emotion Recognition: Case of Employee Satisfaction Surveys.
.- LLM-Based Automated Hallucination Detection in Multilingual Customer Service RAG Applications.
.- Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval.
.- Summarizing Online Discussions with Prototype Relation Networks Using Large Language Models.
.- SurveyBot: A New Era of Web Survey Pretesting.
.- Toward Safer and Trustworthy Chatbots in E-Commerce: An LLM-as-a-Judge Approach for Ethical Evaluation.
.- Vulnerability Patch Prediction using LLM based Bert Model with Trustworthy AI Practice for Cyber Security Enhancement.
