yusuke1997/dblp-id-title huggingface dataset:
Incorporating Farmer Trust Into AI-Driven Agricultural Management Optimization
A Lightweight Neural Network with Transformer to Predict Credit Default
From Black Box to Open Book: An Emerging Transparency Imperative in Generative AI Codebases
AI-enabled Soft Millirobot for Targeted Drug Delivery
A Reversible-Zero Watermarking Scheme for Medical Volume Data via Difference Expansion
An Architectural Framework for Educational Knowledge Graphs (IEEE P2807.6): Ontology Design, Llm Integration, and Adaptive Learning Applications
Enhancing Human-Computer Interaction through AI: A Study on ChatGPT in Educational Environments
Automatic Multiple Choice Question Evaluation Using Tesseract OCR and YOLOv8
3D Reconstruction and Estimation from Single-view 2D Image by Deep Learning - A Survey
Detecting Early Risk of Alzheimer's Disease Using Self-Supervised Multimodal Representation Learning
PharmBERT: a Fine-tuned Model for Pharmaceutical Error Prediction
PCLane: Accurate Lane Localization with LiDAR and Abstract Data
TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers
Unlearning in Decision Tree Classifiers and Microcontroller Implementations
SSSwin: Sequential Spectral Swin Transformer for Solar Panel Mapping in Satellite Imagery
Learning to Predict Short-Term Volatility with Order Flow Image Representation
Towards Real-Time Machine Learning Approximations of Ac Optimal Power Flow
Cultivating Navigational Autonomy in the Visually Impaired: A Novel Approach with VirtualEYE
Meta-ERM: Metaheuristic Optimization Platform for Energy Resource Management in the Smart Grid
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
Zero-shot domain adaptation based on dual-level mix and contrast
Large Language Model Corruption Can Spread Between Both Human and Synthetic Languages
Explainable Learning-Based Intrusion Detection Supported by Memristors
Application of XAI-based framework for PV Energy Generation Forecasting
Data-Driven IT/OT Cyber Risk Evaluation and Mitigation Prioritization Using Machine Learning
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions
Transformer-Based Unit Test Generation
Towards FAIR Workflows for Federated Experimental Sciences
Web-Based Machine Learning Framework for Phishing URL Detection and Analysis
Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet
Roles of Standardised Criteria in Assessing Societal Impact of AI
The Efficiency Frontier: Optimal Combinations of Energy-Saving Strategies in Data Centers
Home-Based Gait Abnormality Detection Using SAIL-TUG and Machine Learning Techniques
Ensemble Learning-Based Seizure Classification with Quality Assurance and Regulatory Alignment in AI-Driven Healthcare
Deep Learning Based Layout Recognition Approach for HMI Software Validation
An Effective Ensemble Deep Learning Framework for Blood-brain Barrier Permeability Prediction
Human-Aligned Chess AI: A Multitask Transformer for Humanlike Decision-Making
Numerical-Symbolic Learning from Biomedical Data
Ensemble Deep Convolutional Neural Network to Identify Fractured Limbs using CT Scans
Transport Mode Recognition Data Collection Campaign and Model Training
Scene Perceived Image Perceptual Score (SPIPS): Combining Global and Local Perception for Image Quality Assessment
Predicting Cognitive Load with Wearable Sensor Signals
Predicting Pedestrian Intent: Evaluating Deep Learning with LSTM, CNN, and Transformers
A Novel Efficient Deep Learning Framework for Facial Inpainting
Multi-Objective Optimization for Flexible Building Space Usage
Application of adaptive douglas-peucker with acceleration algorithm in ship trajectory compression
Early Diagnosis of Lung Adenocarcinoma Leveraging YOLO Architectures
Constrained Multi-Objective Optimization with dMOPSO: An Adaptive Penalty Approach
Alignment Divergence Metrics: Measuring Human-AI Concordance in Document Content Analysis
Imitating human joystick control ability using style and content disentanglement
Adaptive Home Energy Management: Human-Centric RL Approach for Diverse Situations
CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts
Towards Lightweight Underwater Depth Estimation
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
Multimodal Fusion of EEG and Eye Data for Attention Classification using Machine Learning
Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Vision Transformers and Rag
Structural health monitoring of steel moment frame buildings via sequence-based recurrent neural networks
Continuous Inference of Time Recurrent Neural Networks for Field Oriented Control
On Efficient Object-Detection NAS for ADAS on Edge devices
Medical Vision Language Models as Policies for Robotic Surgery
Comparison of Metaheuristic Algorithms for Photovoltaic Systems Allocation in a Power Distribution Feeder
Multi-Order Loss Functions For Accelerating Unsteady Flow Simulations with Physics-Based AI
AI-Based Olfactory Sensing for Robotic Platform
GraphRAG Makes it Possible to Digest Convoluted Legal Jargon
Skeleton-ID: AI-driven Human Identification
A constrained Langevin-adapted Particle Filter for Aircraft Engines' Health Monitoring
Incorporating Temporal and Meteorological Data for Generating Pseudo-measurements in Active Distribution Power Networks
FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization
Bounded Gaussian process with multiple outputs and ensemble combination
Controllable Diffusion Model for Generating Multimodal Biometric Images
A Semi-supervised Model for Automated Classification of AI-related Job Tasks using Bloom's Taxonomy
Natural language processing to estimate RECIST response in cancer patients
A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem
Fine-Grained Visual Classification using Self Assessment Classifier
IEEE Conference on Artificial Intelligence, CAI 2025, Santa Clara, CA, USA, May 5-7, 2025
ATOS: An Open-Source Platform for Testing AI-Based Automated Vehicle Systems in Integrated Simulated and Physical Scenarios
Diverse GNN Encoder-Decoder for Graph Anomaly Detection
Differentiable Hash Encoding for Physics-Informed Neural Networks
Graph Learning Based Financial Market Crash Identification and Prediction
Causal Temporal Neural Networks Using the Conditional Average Treatment Effect
Neuroevolving monotonic PINNs for particle breakage analysis
Artificial Intelligence System for Enabling Microreactor-Driven Cold Ironing in Maritime Ports
Interpreting Carbon Price Predictions: A Temporal Analysis with Explainable AI for Market Shock and Recovery
Long Short-Term Memory Networks for Data-Driven Modeling of Proton Exchange Membrane Fuel Cell Systems
PDE-Informed Gradient Boosting for Disease Outbreak Detection and Forecasting
Development of Predictive Model for Patient Triaging at Emergency Department
Sequence-Based Protein Pocket Prediction via Prott5 Embeddings and Spatial Sampling
Representation Learning and Knowledge Distillation for Lightweight Domain Adaptation
Attention-Based Underwater Oil Leakage Detection
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification
Towards a new Model for a 6G Network-of-Networks
A Novel Modeling Focused Missing Data Imputation Framework
Llama-TCR: Generate De Novo TCR with Large Language Model
IEEE Conference on Artificial Intelligence, CAI 2023, Santa Clara, CA, USA, June 5-6, 2023
Efficient Wildfire Detection Framework Based on Artificial Intelligence Using Convolutional Neural Network and Multi-Color Filtering
Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
AI, Cybercrime, and Society: Closing the Gap Between Threats and Defenses
Human Oversight Over Autonomous Task Execution in Sandbox Environments
Fairness-aware Federated Minimax Optimization with Convergence Guarantee
Tab-AML: A Transformer Based Transaction Monitoring Model for Anti-Money Laundering
Bitcoin Price Prediction Using Machine Learning and Combinatorial Fusion Analysis
LLM Interpretability: Tracing How LLMs Answer Factual Queries and Math Questions
The detection of vibration dampers based on optimized RetinaNet
Graph LLM-Based Portfolio Management Algorithm
Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing
Augmenting Vision Queries with RADAR for BEV Detection in Autonomous Driving
Integrating Local Learning to Improve Deep-Reinforcement-Learning-based Pairs Trading Strategies
W-Net: Two-stage segmentation for multi-center kidney ultrasound
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
Unveiling the Potential of ChatGPT in Detecting Machine Unauditable Bugs in Smart Contracts: A Preliminary Evaluation and Categorization
LLMs as a System of Multiple Expert Agents: An Approach to Solve the Abstraction and Reasoning Corpus (ARC) Challenge
Role-Based Ethics for Decision-Maker Alignment
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
Canvas Insight: Enhancing AI-Driven Scheduling for Depression Diagnosis Using the House-Tree-Person Projective Test
Tackling Environment Heterogeneity in Federated Reinforcement Learning
3D Nuclei Segmentation through Deep Learning
Multimodal Fusion for Effective Recommendations on a User-Anonymous Price Comparison Platform
Nurse Town: An LLM-Powered Simulation Game for Nursing Education
3D Neural Light Quantum Fields for Photo-Realistic 3D Reconstruction from 2D Images
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
Anti-Collusion and Latency-Tolerant Privacy-Preserving Federated Learning Framework via Multi-Key Homomorphic Aggregation
Benchmarking AutoGen with different large language models
Bayesian Neural Network for Personalized Federated Learning Parameter Selection
Forecasting IT Industry trends using a Fuzzy Decision Support System
Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
FLARE: Federated Learning and Reinforcement Optimization for Cancer Survival Models
Phenological States Classification of Blueberries Using Artificial Intelligence
Optimizing Indoor Farming: Deep Learning for Predicting Plant Growth under LED Light Treatments
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
Improving Orb-Slam3 Performance in Textureless Environments: Mapping and Localization in Hospital Corridors
What One Million Prompts Tells Us About AI Usage, Topics, and Preferences
A Hybrid Quantum-Classical Approach Using D-Wave and SLSQP for Double Wishbone Suspension System Optimization
Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review
An Attention-Augmented BiLSTM-CNN Model for Stock Price Prediction
Transforming GPP Estimation in Terrestrial Ecosystems using Remote Sensing and Transformers
Gene Targeting Particle Swarm Optimization for Large-Scale Optimization Problem
Pandora: an Ai Model for the Automatic Extraction of Clinical Unstructured Data and Clinical Risk Score Implementation
An Ensembled Convolutional Recurrent Neural Network approach for Automated Classroom Sound Classification
TrustToken: A Framework for Evaluating Tokenizer Security and Robustness in NLP Pipelines
Autoregressive Self-Evaluation: A Case Study of Music Generation Using Large Language Models
Towards Adversarially Robust Data-Efficient Learning with Generated Data
Privacy preserving layer partitioning for Deep Neural Network models
SocialCipher: A Multimodal Framework for Proactive Threat Detection with Sentintel
XES3MaP: Explainable Risks Identified from Ensembled Stacked Self-Supervised Models to Augment Predictive Maintenance
Textile Surface Defects Analysis with Explainable AI
Deep Reinforcement Learning for Dynamic Resource Allocation : Generalizing Defensive Strategies Based on Pairwise Unit Analysis
Deep Learning for Tumor Localization with Depth Estimation: A Minimally Invasive Robotics-Assisted Approach
A Roadmap for Alignable Algorithmic Decision-Makers in the Medical Triage Domain
AI-Based Approach for Behind-the-Meter Solar Photovoltaic Power Forecasting
Using Human-Aware AI as a Framework to Achieve Intent Alignment
Large Language Model-assisted Clustering and Concept Identification of Engineering Design Data
Symbolic Regression for Discovery of Medical Equations: A Case Study on Glomerular Filtration Rate Estimation Equations
Felgnn-Dp: Federated Ensemble Learning-Based Graph Neural Network for Disease Prediction
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach
Model Based Reinforcement Learning Pre-Trained with Various State Data
BARTNet: Context-Aware Deep Learning Framework for BART Ridership Forecasting
A Proof-of-Concept Validation of Alignment in Decision-Making Attributes for Trustworthy AI
GreenTea: Time-series Exploration as-a-Service for environmental science
Interact360: Interactive Identity-driven Text to 360° Panorama Generation
Explainable AI via Linguistic Summarization of Black Box Computer Vision Models
Credit Card Fraud Detection Using RoFormer Model with Relative Distance Rotating Encoding
Prediction of Treatment Outcome to Transcranial Direct Current Stimulation in Major Depression Based on Deep Learning of EEG Data
Stable Probabilistic Graphical Models for Systemic Risk Estimation
Large Language Model can Reduce the Necessity of Using Large Data Samples for Training Models
Explaining Cyberbullying Trait Detection Through High Accuracy Transformer Ensemble
From Prompts to Performance: Leveraging LLMs for Enhanced Educational AI Interactions
Joint Handling of Data and Model Uncertainty for Interpretable Interval Prediction
HyMark: Application of Hybrid AI for Markdown Syntax Generation
Transferability Prediction for Model Recommendation: A Graph Learning Method
Reinforcement Learning in Energy Management: PV & Battery Storage for Consumption Reduction
Analyzing Ground Motion Records with CVI Fuzzy ART
Enhancing Automated Feedback for Fitness Exercises Using Pose Estimation and Semi-Supervised Generative Adversarial Learning
Integrating Time Series Forecasting, NLP, and Financial Analysis for Optimal Investment Strategy: A Case Study on Adani Ports
LIME-Based Explainable AI Approach for Battery Health Monitoring
Query-Selected Global Attention for Text guided Image Style Transfer using Diffusion Model
AniLarm: AI for Small Animal Detection Under Cars Using Thermal Camera
Strengthening AI Validation and Verification in Autonomous Vehicles: Comprehensive Analysis and Improvements to Key Standards
Compact Autoencoder Architectures for Anomaly Detection in Electric Drivetrain Current Sensors: a Comparative Study
Leader-Based Coalition Formation for Extremely Large Scale Collectives
Reconceptualizing AI Literacy: The Importance of Metacognitive Thinking in an Artificial Intelligence (AI)-Enabled Workforce
Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI
PATL: Pool-Based Active Twin Learner from Oracle with Imitation Learning for Early Epidemic Detection
Video-based detection of hemiparetic weakness side in post-stroke patient
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
Robust FOD Detection using Frame Sequence-based DEtection TRansformer (DETR)
Weakly-Supervised Self-Ensembling Vision Transformer for MRI Cardiac Segmentation
MyriadAL: Active Few Shot Learning for Histopathology
Visualize Music Using Generative Arts
Standardized AI-Driven UAV Water Rescue System for Safe and Reliable Autonomous Operations
A Model-Free Deep Reinforcement Learning Approach to Piano Fingering Generation
AI Digital Tool Product Lifecycle Governance Framework through Ethics and Compliance by Design†
Diversified Sequential Recommendation via Evolutionary Multi-Objective Transfer Optimization
Addressing Vulnerability in Medical Deep Learning through Robust Training
Reducing Global Breast Cancer Mortality with Early, Low-Cost Diagnosis Using Generative AI and Hybrid DL Architecture
PepPFN: protein-peptide binding residues prediction via pre-trained module-based Fourier Network
Study on AI Data Center Infrastructure Sustainable Deployment and Standardization
ARIMA Time Series Modelling for Energy Forecasting in Wireless Sensor Networks
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
Enhancing Evolutionary Algorithms Through Meta-Evolution Strategies
On the generation and assessment of synthetic waste images
An efficient TF-IDF based Query by Example Spoken Term Detection
Authentication Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems Using Adversarially Guided Diffusion Models
Effective Generative AI Implementation in Developing Country Universities
Multi-Channel 3D Deep Learning Architectures for Evaluation of Prostate Lesion Detection
Optimizing Demand Forecasting: A Framework With Bayesian Optimization Embedded Reinforcement Learning for Combined Algorithm Selection and Hyperparameter Optimization
A Model of Computational Creativity based on Engram Cell Theory
Semantic Textual Similarity Analysis of Clinical Text in the Era of LLM
Chroma-Sense: a Memory-Efficient Plant Leaf Disease Classification Model for Edge Devices
Research on System Design and Field Application of Intelligent Wireless Temperature Monitoring Devices for Switchgear
Auspex: Building Threat Modeling Tradecraft into an Artificial Intelligence-Based Copilot
Advancing Safety and Robustness: Perception-Planning System of an Autonomous Vehicle Last Mile Delivery
Advanced Prediction of Hypersonic Missile Trajectories with CNN-LSTM-GRU Architectures
A Generalisable Alignment System (GAS) for Humanartificial Intelligence (AI) Alignment
Improving Idiopathic Pulmonary Fibrosis Damage Prediction with Segmented Images in a Deep Learning Model
Geometric Deep Learning for Multiple Conformation Generation from Electron Density Images
Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters
Novel method to measure marginal reflex distance-1(MRD-1) using based on deep learning method
Attention-Based Deep Learning Models for Detecting Misinformation of Long-Term Effects of COVID-19
Efficient Deep Learning for Pathological Speech Recognition
A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
Clustering-Guided Counterfactual Design Evolution
Fine-Tuning DeBERTaV3 with Adaptive Training Strategies for Fine-Grained Sentiment Analysis
Generative ΑΙ-based Cognitive Robot for exam candidates' knowledge self-assessment
Unifying Model for AI Standardization Processes
Privacy-preserving Federated Learning for Industrial Defect Detection Systems via Differential Privacy and Image Obfuscation
Generative AI to Enhance Situational Awareness and Collaboration: A Co-Worker for Tech Support in Enterprise Environments
From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Construction
Skin Lesion Segmentation Using Improved Topological Image Processing
Archive-based Cooperative Coevolution Genetic Programming for Workflow Scheduling
An Adversarial Toxicity Prompt Generator Exploiting Multilingual Code-Switching in LLMs
Estimating Position and Orientation of Ships in Real Time Using Constrained Hand-Annotated Data
Modeling Variational Anchoring Effect for Recommender Systems
Eliminating External Factors with Variables Standardization for Monitoring Applications
A Time Series Clinical Data-driven Preprocessing Approach to Early Sepsis Diagnosis
EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer
Enhancing Human-Artificial Intelligence Alignment: A Calibration-Based Approach
Health Status Discovery for Online Bidirectional Contact Tracing and Disease Aware Navigation
Real-Time Adaptive Multi-Modal Stock Prediction with Temporal Graph Attention and Dynamic Interaction Networks
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
EVA-ASCA: Enhancing Voice Anti-Spoofing through Attention-based Similarity Weights and Contrastive Negative Attractors
Ethical Logic in Six Large Language Models
A Spatiotemporal Excitation Classifier Head for Action Recognition Applications
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead
Cellular Computational Networks for Sustainable Artificial Intelligence
Decoding Cyberbullying on Social Media: A Machine Learning Exploration
Revolutionizing Healthcare: A Futuristic AI Hospital
License plate recognition in low quality image by using Latent Diffusion YOLOv7
Adaptive Duty Cycle Control for Optimal Battery Energy Storage System Charging by Reinforcement Learning
Context-based Semantic Caching for LLM Applications
Vision Transformers Excel in Chest X-Ray Analysis
A Framework for Identifying Key Decision-Maker Attributes in Uncertain and Complex Environments
Robust AI-enabled Simulation of Treatment Paths with Markov Decision Process for Breast Cancer Patients
Building Trust - The People's Panel for AI
Gaussian Process-Enhanced Impedance Iterative Learning for Robot Interaction Control
Local and Global Guidance for Multi-Complementary Label Learning
Multi-pooling 3D Convolutional Neural Network for fMRI Classification of Visual Brain States
Traffic Policeman Gesture Recognition With Spatial Temporal Graph Convolution Network
An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography
Large Language Models are Autonomous Cyber Defenders
Astro-Det: Resident Space Object Detection for Space Situational Awareness
AI-Driven Mental Health Chatbot: Empowering Well-Being with Conversational AI and Retrieval-Augmented Generation
A Feature-Driven Approach to Identifying Unseen Pathologies in Skin Lesion Classification
Surrogate Functions and Digital Twin Simulation for Modern Facility Layout Planning
The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation
An LSTM Model for Sustainable Microgrid Energy Resources in Myanmar
Deforestation Detection in the Brazilian Amazon Using Transformer-based Networks
Automated Fracture Detection from CT Scans
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression
RL-based Scheduling of an AAM Traffic Network
Enhancing Ischemic Brain Stroke Detection on CT Images: A Investigation of Transfer Learning Techniques of DenseNet-201 for Neuroimaging Analysis
Data-centric AI practice in maritime: securing trusted data quality via a computer vision-based framework
Data-Driven Modeling Approach for the Virtual Conversion of a Hybridized Passenger Car
DeepSnow/Rain: Light Weather Recognition
DeepRainX: Integrated Image Nowcast Based on Deep Learning And Physical Models
Transfer learning with BERT and a-priori Knowledge-Based Sentence of Interest Selection in Radiology Impressions for Phenotyping Venous Thromboembolism
Enhancing EEG-based emotion recognition using Semi-supervised Co-training Ensemble Learning
Hierarchical Optimization for Operationally-Constrained Resource Planning
ViT-Slim: A Genetic Algorithm-based NAS Framework for Efficient Vision Transformer Design
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Explainable Artificial Intelligence for Deep Synthetic Data Generation Models
The impact of perceived robotic intelligence on trust and attitude
Active Semi-supervised Learning based on Global Uncertainty Variation with Noise Resistance
Remind: Recall Enhanced Memory Integration for Natural Language Dialogue Systems
Recurrent Event Analysis and Biomarker Discovery for Glioblastoma Using mRNA-seq Data
Deep Learning Based Real-Time Approach for Optimal Power Flow in Unbalanced Distribution Systems with High-Level EV Penetration
Human-Aligned AI Must Counter Overtrust