yusuke1997/dblp-id-title huggingface dataset:
Learning Nonstationary Time-Series With Dynamic Pattern Extractions
An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning
Nonintrusive Operator Inference for Chaotic Systems
ECG_DEEPNet: A Novel Approach for Delineation and Classification of Electrocardiogram Signal Based on Ensemble Deep-Learning
A Hierarchical Cross-Modal Spatial Fusion Network for Multimodal Emotion Recognition
Label-Efficient Time Series Representation Learning: A Review
Privacy and Artificial Intelligence
Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation
JSSE: Joint Sequential Semantic Encoder for Zero-Shot Event Recognition
Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks
Monocular Visual Simultaneous Localization and Mapping: (R)Evolution From Geometry to Deep Learning-Based Pipelines
SAWL-Net: A Statistical Attentions and Wavelet Aided Lightweight Network for Classification of Cancers in Histopathological Images
LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination
A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition
Balanced Graph Cut With Exponential Inter-Cluster Compactness
Bridging the Climate Gap: Multimodel Framework With Explainable Decision-Making for IOD and ENSO Forecasting
Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples
Embedded Deep Learning Accelerators: A Survey on Recent Advances
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States
Design and Implementation of a Vision- and Grating-Sensor-Based Intelligent Unmanned Settlement System
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder
An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity
A Survey on Symbolic Knowledge Distillation of Large Language Models
Boosting Few-Shot Semantic Segmentation With Prior-Driven Edge Feature Enhancement Network
Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach
A Multistate Load State Identification Model Based on Time Convolutional Networks and Conditional Random Fields
IOTM: Iterative Optimization Trigger Method - A Runtime Data-Free Backdoor Attacks on Deep Neural Networks
Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting
From Global to Hybrid: A Review of Supervised Deep Learning for 2-D Image Feature Representation
A Novel Recursive Ensemble Feature Selection Framework for High-Dimensional Data
A Review of the Machine Learning Algorithms for Covid-19 Case Analysis
A Spatial-Transformation-Based Causality-Enhanced Model for Glioblastoma Progression Diagnosis
Negative Selection Algorithm Research and Applications in the Last Decade: A Review
Blockchain and Federated Reinforcement Learning for Vehicle-to-Everything Energy Trading in Smart Grids
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback
Data-Based Dual-Loop Learning Control of Underactuated Systems With Disturbance Prediction and Input-Output Constraints
Empirical Evaluation of Public HateSpeech Datasets
Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Collaborative Learning From Various Width-Resolution Configurations
Data-Driven Model Predictive Control for Hybrid Charging Stations Using Ensemble Learning
Neural Network Methods Based on Efficient Optimization Algorithms for Solving Impulsive Differential Equations
Decomposition-Based Classifier Chains for Multi-Dimensional Classification
Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location
Evasion Generative Adversarial Network for Low Data Regimes
Adaptive Composite Fixed-Time RL-Optimized Control for Nonlinear Systems and Its Application to Intelligent Ship Autopilot
Cyber Shadows: Neutralizing Security Threats With AI and Targeted Policy Measures
Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation
A Comprehensive Radiogenomic Feature Characterization of 19/20 Co-gain in Glioblastoma
Response Generation Honeypot With Antidetection Capabilities for IoT Botnet Lifecycle Detection
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent
Multicomponent Similarity Graphs for Cross-Network Node Classification
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
Variance-Guided Structured Sparsity in Deep Neural Networks
Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework
Cross-Domain Modality Fusion for Dense Video Captioning
Periodic Hamiltonian Neural Networks
NPE-DRL: Enhancing Perception Constrained Obstacle Avoidance With Nonexpert Policy Guided Reinforcement Learning
GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network
TREND: Transferability-Based Robust ENsemble Design
Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis
SpikeNAS-Bench: Benchmarking NAS Algorithms for Spiking Neural Network Architecture
An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes
Towards Machine Learning as an Enabler of Computational Creativity
StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification
CenFormer: Transformer-Based Network From Centroid Generation for Point Cloud Completion
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Multilabel Black-Box Adversarial Attacks Only With Predicted Labels
A Scalable Unsupervised and Back Propagation Free Learning With SACSOM: A Novel Approach to SOM-Based Architectures
Learning Deep Asymmetric Tolerant Part Representation
Guest Editorial: Special Issue on Security and Privacy in Machine Learning
Fine-Grained Food Classification Methods on the UEC FOOD-100 Database
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Deep Learning-Based Fault Localization in Video Networks Using Only Client-Side QoE
Improving the Feature Selection Stability of the Delta Test in Regression
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Soft Attention Mechanism Based Network to Extract Blood Vessels From Retinal Image Modality
Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes
Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Rethinking Deep Supervision for Brain Tumor Segmentation
Knowledge-Guided Evolutionary Optimization for Large-Scale Air Defense Resource Allocation
Bio-Inspired Intelligence-Based Multiagent Navigation With Safety-Aware Considerations
A Mutual Information-Based Assessment of Reverse Engineering on Rewards of Reinforcement Learning
Variance-Reduced Deep Actor-Critic With an Optimally Subsampled Actor Recursion
Minimizing Parameter Overhead in Self-Supervised Models for Target Task
Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks
A Brain-Inspired Theory of Collective Mind Model for Efficient Social Cooperation
Concurrent Learning-Based Neuroadaptive Robust Tracking Control of Wheeled Mobile Robot: An Event-Triggered Design
Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids
Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models
Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoML
A Comprehensive Exploration of Real-Time 3-D View Reconstruction Methods
Incremental Weighted Ensemble for Data Streams With Concept Drift
Retain and Adapt: Online Sequential EEG Classification With Subject Shift
Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviors for ASD Identification
A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial Processes Monitoring
LLMaaS: Serving Large-Language Models on Trusted Serverless Computing Platforms
Metro Flow Prediction With Hierarchical Hypergraph Attention Networks
Web API Recommendation via Combining Adaptive Multichannel Graph Representation and xDeepFM Quality Prediction
Design of an Ultra-Thin Metamaterial Absorber With Machine Learning-Assisted Absorption Prediction
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding
Metalearning Based Adaptive Compact Modeling Framework for Advanced Transistors Across Technology Nodes
Semantic Coherence Guided Multiview Similarity for Image Classification With Varied Supervision
Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
DGeC: Dynamically and Globally Enhanced Convolution
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis
Multiview Adaptive K-Nearest Neighbor Classification
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing
Energy Scheduling Optimization for Microgrids Based on Partially Observable Markov Game
View Invariant Spatio-Temporal Descriptor for Action Recognition From Skeleton Sequences
A Multitropical Cyclone Trajectory Prediction Method Based on Density Maps With Memory and Data Fusion
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data
Generalization Error Bounds for Graph Neural Networks in Unseen Domains
Spatio-temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids
Reinforcement Learning for Selecting Custom Instructions Under Area Constraint
Prompt Customization for Continual Learning
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain
Parallel Inductive Shift Learning Based Recommendation System
Answering Binary Causal Questions Using Role-Oriented Concept Embedding
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures
An Overview of Artificial Intelligence Ethics
Deep Residual Learning of a Probabilistic' Partial Least Squares Model for Predictive Data Analytics
Incremental Object Detection With Image-Level Labels
Prompt Learning for Few-Shot Question Answering via Self-Context Data Augmentation
Learning Robust Global-Local Representation From EEG for Neural Epilepsy Detection
Comparative Evaluation in the Wild: Systems for the Expressive Rendering of Music
EncryptFlow: Efficient and Lossless Image Encryption Network Based on Normalizing Flows
A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing
Few-Shot Learning With Class Imbalance
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images
Reinforced Knowledge Distillation for Time Series Regression
From Routine to Reflection: Pruning Neural Networks in Communication-Efficient Federated Learning
Adaptive Context Based Road Accident Risk Prediction Using Spatio-Temporal Deep Learning
Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)
Heterogeneous Dual-Dynamic Attention Network for Modeling Mutual Interplay of Stocks
Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation
Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling
Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation
Appearance Enhancement for Camera-Captured Document Images in the Wild
Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement
An Incremental Learning Model for Mobile Robot: From Short-Term Memory to Long-Term Memory
Multiscale Representation Learning for Image Classification: A Survey
Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning Over Directed Graphs
Optical Flow Estimation in Dense Foggy Scenes With Domain-Adaptive Networks
ZJU-Leaper: A Benchmark Dataset for Fabric Defect Detection and a Comparative Study
An End-to-End Two-Branch Network Towards Robust Video Fingerprinting
Approaching Principles of XAI: A Systematization
Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future
Aspect-Based Capsule Network With Mutual Attention for Recommendations
Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment With Relational Graph Learning
Syntactic Graph Attention Network for Aspect-Level Sentiment Analysis
Preserving Similarity and Staring Decisis for Feature Selection
Event-Triggered Distributed Intelligent Learning Control of Six-Rotor UAVs Under FDI Attacks
Explain to Me: Salience-Based Explainability for Synthetic Face Detection Models
GhostViT: Expediting Vision Transformers via Cheap Operations
Prescribed Performance Resilient Motion Coordination With Actor-Critic Reinforcement Learning Design for UAV-USV Systems
LaBINet - An Approach for Seamlessly Integrating New Advertisement Into an Existing Scene
Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis
Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning
Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network
Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks
Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses
Antenna Parameter Measurement Network With Dual Attention and Focus Loss Using UAV
Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
Sparsity-Induced Graph Convolutional Network for Semisupervised Learning
Credal Valuation Networks for Machine Reasoning Under Uncertainty
V$^3$H: View Variation and View Heredity for Incomplete Multiview Clustering
Two-Stage Representation Refinement Based on Convex Combination for 3-D Human Poses Estimation
On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem
Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction
Deep Temporally Recursive Differencing Network for Anomaly Detection in Videos
Scene Text Image Superresolution Through Multiscale Interaction of Structural and Semantic Priors
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
Incomplete Multiview Clustering With Cross-View Feature Transformation
Memory-Augmented Lyapunov-Based Safe Reinforcement Learning: End-to-End Safety Under Uncertainty
Face Forgery Detection Based on Fine-Grained Clues and Noise Inconsistency
Self-Guided Autoencoders for Unsupervised Change Detection in Heterogeneous Remote Sensing Images
A Survey on Neural Network Hardware Accelerators
Multiclass Counterfactual Explanations Using Support Vector Data Description
Game Theory Meets Data Augmentation
An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images
Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control
Toward Correlated Sequential Rules
Spiking Diffusion Models
A Human-in-the-Middle Attack Against Object Detection Systems
High-Dimensional Hyperparameter Optimization via Adjoint Differentiation
Social Self-Attention Generative Adversarial Networks for Human Trajectory Prediction
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Vision-Based PM 2.5 Concentration Estimation With Natural Scene Statistical Analysis
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Online Continual Learning Benefits From Large Number of Task Splits
Get Rid of Your Trail: Remotely Erasing Backdoors in Federated Learning
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
Efficient CORDIC-Based Activation Functions for RNN Acceleration on FPGAs
Early Stator Fault Detection and Condition Identification in Induction Motor Using Novel Deep Network
Reconstruction for Indoor Scenes Based on an Interpretable Inference
DReD-A Descriptive Relation Dataset for Expanding Relation Extraction
Hierarchical Patch Selection: An Improved Patch Sampling for No Reference Image Quality Assessment
An Out-of-Distribution Attack Resistance Approach to Emotion Categorization
Deep Neural Network-Based Heterogeneous Domain Adaptation Using Ensemble Decision Making in Land Cover Classification
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction
A Universal Metric for Robust Evaluation of Synthetic Tabular Data
A Credible and Fair Federated Learning Framework Based on Blockchain
Adaptive Head Pruning for Attention Mechanism in the Maritime Domain
Crafting Transferable Adversarial Examples Against Face Recognition via Gradient Eroding
Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer
A Novel Technique of Synthetic Data Generation for Asset Administration Shells in Industry 4.0 Scenarios
Noisy Label Detection and Counterfactual Correction
Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic
Facilitating Continuous Facial Aging Through Latent Age Attribute Modulation
Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement
Synergetic Focal Loss for Imbalanced Classification in Federated XGBoost
A Composite Decomposition Method for Large-Scale Global Optimization
Latency- and Privacy-Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence Systems
Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations
Fast Real-Time Reinforcement Learning for Partially-Observable Large-Scale Systems
iLeAD: An EMG-Based Adaptive Shared Control Framework for Exoskeleton Assistance via Deep Reinforcement Learning
Arrhythmic Heartbeat Classification Using Ensemble of Random Forest and Support Vector Machine Algorithm
TSTNet: Temporal Semantic Transformer-Based Computing Power Network for Automatic Driving in the Internet of Vehicles
A Memory-Efficient Neural Ordinary Differential Equation Framework Based on High-Level Adjoint Differentiation
Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers
Deep Learning Security Breach by Evolutionary Universal Perturbation Attack (EUPA)
Higher-Order Directed Community Detection by A Multiobjective Evolutionary Framework
Curious Feature Selection-Based Clustering
Leverage Learning Behaviour Data for Students' Learning Performance Prediction and Influence Factor Analysis
VODACBD: Vehicle Object Detection Based on Adaptive Convolution and Bifurcation Decoupling
Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area
Learn to Learn: A Mirror Meta-Learning Method for Retinal Disease Diagnosis on Fundus Images
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
Pseudoinvertible Neural Networks
Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI)
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning
Active Robust Adversarial Reinforcement Learning Under Temporally Coupled Perturbations
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification
Distributed GAN: Toward a Faster Reinforcement-Learning-Based Architecture Search
Tensor-Based Forward-Backward Algorithms in the Physics-Informed Coupled Hidden Markov Model
Optimal Feature Selection for Imbalanced Text Classification
Dual Attention and Question Categorization-Based Visual Question Answering
Learning From N-Tuple Similarities and Unlabeled Data
Visual Relationship Detection for Workplace Safety Applications
Synthetic Information Toward Maximum Posterior Ratio for Deep Learning on Imbalanced Data
Recursive Multi-Signal Temporal Fusions With Attention Mechanism Improves EMG Feature Extraction
Improved Demonstration-Knowledge Utilization in Reinforcement Learning
Guest Editorial: Special Issue on Artificial Intelligence for Robotics
Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions
MSCS: Multiscale Consistency Supervision With CNN-Transformer Collaboration for Semisupervised Histopathology Image Semantic Segmentation
Partial Domain Adaptation for Building Borehole Lithology Model Under Weaker Geological Prior
Adversarial Modality Alignment Network for Cross-Modal Molecule Retrieval
RD-Net: Residual-Dense Network for Glaucoma Prediction Using Structural Features of Optic Nerve Head
Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches
Robust Real-Time Audio-Visual Speech Enhancement Based on DNN and GAN
Fake Profile Detection on Social Networking Websites: A Comprehensive Review
Wave Height Prediction Suitable for Maritime Transportation Based on Green Ocean of Things
Customized Impression Prediction From Radiology Reports Using BERT and LSTMs
Multiscale Wasserstein Shortest-Path Graph Kernels for Graph Classification
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
Explainable Natural Language Inference via Identifying Important Rationales
Generative Representation Learning in Recurrent Neural Networks for Causal Timeseries Forecasting
Empowering Semantic Segmentation With Selective Frequency Enhancement and Attention Mechanism for Tampering Detection
GraphClusNet: A Hierarchical Graph Neural Network for Recovered Circuit Netlist Partitioning
Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks
Adaptive Intelligent Output Feedback Consensus Control for Nonlinear Multiagent Systems With Switched Topologies and Dead-Zone
Additive Noise Model Structure Learning Based on Spatial Coordinates
A Systematic Review of Echo State Networks From Design to Application
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model
Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems
Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework
RGB-D Fusion Through Zero-Shot Fuzzy Membership Learning for Salient Object Detection
Performance-Driven Safe Bayesian Optimization for Intelligent Tuning of High-Order Cascade Systems