Search results for ""author michael wand""

.- Graph Neural Networks..- 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks..- Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-aware Contrastive Learning Network..- Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness..- CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis..- ComMGAE: Community Aware Masked Graph AutoEncoder..- CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph..- Edged Weisfeiler-Lehman algorithm..- Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features..- Graph-Guided Multi-View Text Classification: Advanced Solutions for Fast Inference..- Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems..- Key Substructure-Driven Backdoor Atta

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.- Theory of Neural Networks and Machine Learning..- Multi-label Robust Feature Selection via Subspace-Sparsity Learning..- Nullspace-based metric for classification of dynamical systems and sensors..- On the Bayesian Interpretation of Robust Regression Neural Networks..- Probability-Generating Function Kernels for Spherical Data..- Tailored Finite Point Operator Networks for Interface problems..- Novel Methods in Machine Learning..- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class..- Adaptive Compression of the Latent Space in Variational Autoencoders..- Asymmetric Isomap for Dimensionality Reduction and Data Visualization..- CALICO: Confident Active Learning with Integrated Calibration..- Improved Multi-hop Reasoning through Sampling and Aggr

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.- Workshop: AI in Drug Discovery..- Combinatorial Library Neural Network (CoLiNN) for Combinatorial Library Visualization without Compound  Enumeration..- De novo Drug Design Do We Really Want To Be  Original?.- Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra using Gradient Boosting..- Neural SHAKE: Geometric Constraints in Graph Generative Models..- Scaffold Splits Overestimate Virtual Screening  Performance..- Target-Aware Drug Activity Model: A deep learning approach to virtual HTS..- Workshop: Reservoir Computing..- Effects of Input Structure and Topology on Input-Driven  Functional Connectivity Stability..- Non-dissipative Reservoir Computing approaches for time-series classification..- Onion Echo State Networks A Preliminary Analysis of Dynamics..- Oscillation-driven Reservoir Computing for Long-Term Replicat

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.- Human-Computer Interfaces..- Combining Contrastive Learning and Sequence Learning for Automated Essay Scoring..- PIDM: Personality-aware Interaction Diffusion Model for gesture generation..- Prompt Design using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue..- Recommender Systems..- Click-Through Rate Prediction Based on Filtering-enhanced with Multi-Head Attention..- Enhancing Sequential Recommendation via Aligning Interest Distributions..- LGCRS: LLM-Guided Representation-Enhancing for ConversationalRecommender System..- Multi-intent Aware Contrastive Learning for Sequential Recommendation..- Subgraph Collaborative Graph Contrastive Learning for Recommendation..- Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation..- Environment and Climate..- Carbon Price Forecasting with LLM-based Refi

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.- Computer Vision: Classification..- A WEAKLY SUPERVISED PART DETECTION METHOD FOR ROBUST FINE-GRAINED CLASSIFICATION..- An Energy Sampling Replay-Based Continual Learning Framework..- Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification..-Multi-scale convolutional attention fuzzy broad network for few-shot hyperspectral image classification..- Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification..- Computer Vision: Object Detection..- CIA-Net:Cross-modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection..- CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection..- DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion..- EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection..- Global-Guided Weighte

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.- Biosignal Processing in Medicine and Physiology..- A deep learning multi-omics framework to combine microbiome and metabolome profiles for disease classification..- CapsDA-Net: A Convolutional Capsule Domain Adversarial Neural Network for EEG-Based Attention Recognition..- ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records throughICD Path Generation..- Depression detection based on multilevel semantic features..- Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion..- Identify Disease-associated MiRNA-miRNA Pairs through Deep Tensor Factorization and Semi-supervised Learning..- Interpretable EHR Disease Prediction System Based on Disease Experts and Patient SimilarityGraph (DE-PSG)..- Meteorological Data based Detection of Stroke using Machine Learning Techniques..- OFNN-UNI: Enhanced Optimized Fuzzy Neural Networks based on Unine

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.- Computer Vision: Anomaly Detection..- Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization..- Computer Vision: Segmentation..- DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation..- Integrating Audio-Visual Contexts with Refinement for Segmentation..- Loci-Segmented: Improving Scene Segmentation Learning..- Large Language Model for Action Anticipation..- MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation..- Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-view Framework..- Computer Vision: Pose Estimation and Tracking..- DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation. .- DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting..- Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation..- MovePose: A High-performance Human P

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.- Multimodality..- ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework..- BVRCC: Bootstrapping Video Retrieval via Cross-matching Correction..- CAW: Confidence-based Adaptive Weighted Model for Multi-modal Entity Linking..- Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieva..- Exploring Interpretable Semantic Alignment for Multimodal Machine Translation..- Modal fusion-Enhanced two-stream hashing network for Cross modal Retrieval..- Text Visual Question Answering Based on Interactive Learning and Relationship Modeling..- Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment..- Federated Learning..- Addressing the Privacy and Complexity of Urban Traffic  Flow Prediction with Federated Learning and  Spatiotemporal Graph Convolutional

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.- Brain-inspired ComputingBrain-inspired Computing..- A Multiscale Resonant Spiking Neural Network for Music Classification..- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements..- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning..- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks..- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion..- Cognitive and Computational Neuroscience..- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer..- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions..- Dynamic Graph for Biological Memory Modeling: A System-Level Validation..- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism..- Estimat

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