yusuke1997/dblp-id-title huggingface dataset:
TelLungNet - Enabling Telemedicine Utilizing an Improved U-Net Lung Image Segmentation
AI-Enabled Sensor-Driven Marketability Prediction of Strawberry Digital Twins
Entropy-Weighted Simulated Annealing optimisation of Human-simulated Multi-mode PD-PI Control for Biped Robots
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields
Transformer-based Reinforcement Learning Model for Optimized Quantitative Trading
SPD Hashing Network for Fast Image Set Classification and Retrieval
Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety
Autonomous Gain Tuning for Differential Drive Robots Targeting Control using Soft Actor-Critic
Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models
Applications of Artificial Intelligence in Oceanic Nuclear Contamination Management
DeepUnseen: Unpredicted Event Recognition Through Integrated Vision-Language Models
Predicting Extreme Weather-Induced Outages in Distribution Networks Using Graph-Based Neural Network Models
Market Access and Compliance Innovation for Aibased Functional Safety Systems
Encouraging Trust in AI-Powered Teaching Tools: Ranking Design Principles
Zio: an artificial intelligence digital twin to build virtual markets
Quantifying Domain Knowledge in Large Language Models
LiDAR-Driven Steering Command Prediction for Autonomous Vehicles Using Machine Learning
XGBoost-Based Emotion Classification in Healthcare Using Electroencephalogram Signals
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
From Sparse to Precise: Wavelet Implicit Neural Network for Radiotherapy Commissioning
Learn to Detect Freezing of Gait in Parkinson's Disease Patients Using Mobile Sensors Assisted by Video Data
Wildfire Spread Prediction in North America Using Satellite Imagery and Vision Transformer
Fuzzy Networks for Explainable Artificial Intelligence
Group Correction-based Local Disturbance Particle Swarm Optimization algorithm for solving Continuous Distributed Constraint Optimization Problems
Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization
PixMus : Video and Text Conditioned Background Music Generation Using Latent Diffusion
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation
Graph Neural Network-Based Edge Classification Approach for Detection of Cybersecurity Attacks
Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists
Retinoblastoma Detection via Image Processing and Interpretable Artificial Intelligence Techniques
Active Learning to Minimize the Risk from Future Epidemics
Restoration of Material Pore Structure Image Using Transformer Architecture
Creating Bayesian Ethical Alignment Models for Eliciting, Modeling, and Calibrating Ethical Human Decision-Making Values and Priorities
Brain Tumour Diagnostics and Analysis (TDA): Segmentation, Classification and Interactive Interface
Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights
Improved Contrastive Unpaired Translation for Metal Artifacts Reduction in Nasopharyngeal CT Images
Graphical Causal Model Based Bayesian Optimization for Industrial Process Parameterization
Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery
Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning
Towards Fault-tolerant Quadruped Locomotion with Reinforcement Learning
Unsupervised cognitive monitoring in a mixed-reality flight simulator for smart debriefing
Sustainable Machine Learning: Evaluating the Environmental Cost of AutoML Algorithms in AI Development
Edge-Aware and Attention-Aided U-Net Model for Skin Lesion Segmentation
Symbolic AI for External Magnetic Interference Classification in Magnetostrictive Position Sensors
The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges
MPGT: Multimodal Physics-Constrained Graph Transformer Learning for Hybrid Digital Twins
Generative Data Visualization with JSON Representations
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
Ship trajectory prediction using AIS data with TransFormer-based AI
Leveraging Advanced Artificial Intelligence Paradigms for Proactive Prediction and Diagnostic Analysis of Alzheimer's Disease Pathogenesis
GenAI Security: Outsmarting the Bots with a Proactive Testing Framework
Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations
Crash Frequency Modeling Using Realistic Artificial Data
DREAM: Dynamic Responsibility and Evolutionary Adaptive Modularization for Knowledge Distillation
Can AI have a personality?
3D Reconstruction of Underwater Scenes using Nonlinear Domain Projection
The impact of the artificial intelligence (AI) Art Generator in pre-service art teacher training
NormFusion: Real-Time Test-Time Adaptation for LiDAR Segmentation Under Corruption
Learning Collaborative Multi-Target Search for A Visual Drone Swarm
Contextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes
Machine Learning-Augmented Boundary Value Problem Solvers for Optimizing Melt Spinning Processes
Data-Driven Reinforcement Learning for Optimal Motor Control in Washing Machines
Contrastive Information Maximization Clustering for Self-Supervised Speaker Recognition
DeepViss: For Camera Image-Based Visibility Estimation Using Atmospheric Chemical Sensor
Leveraging the Power of Artificial Intelligence and Blockchain in Recruitment using Beetle Platform
Prompt-Tuning for Recommendation Unlearning
Automated Construction and Semantic Interoperability for Digital Twins: Integrating Heterogeneous Data with Large Language Models
Machine Excellence Tradeoffs to Ethical and Legal Perspectives
Study on Energy Efficiency Metrics for Environmental Sustainable Computing
Phased Continuous Exploration Method for Cooperative Multi-Agent Reinforcement Learning
Evolutionary Cognitive Prompting for Enhancing the Capabilities of Language Models
SPADENet: Skill-based Player Action Decision and Evaluation for Card Games using Deep Neural Networks (Online Rummy as Case Study)
AI as a Tool for Fair Journalism: Case Studies from Malta
Machine Learning prediction of ultimate strain of CFRP/GFRP-RC column with lap spliced rebars subjected to cyclic loads
Top-K Difference Sparsification and Quantization for Communication-Efficient Model Aggregation in Wireless Ad Hoc Federated Learning
Adaptive Graph Normalized Sign Algorithm
Mediating Cognitive Biases in Business Decisions Using LLMS
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination
Low Variance Off-policy Evaluation with State-based Importance Sampling
Evaluations of Semi-supervised Methods for Hepatocellular Carcinoma Segmentation from Pathological Images
Forecasting infectious and parasitic disease emergency department attendances using high-dimensional time series data
Vision Transformer for Beamforming on Phased Array Antennas
SHSML: A Stochastic Approach to Hierarchically Structured Meta-Learning for Improved Inference and Confidence
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models
Empowering Business Decisions and Knowledge Management Through Advanced RAG-Driven QA Systems
Predictive Logistics Models for Autonomous Vehicles Deployment in Adversarial Environments
When Audio Denoising Meets Spiking Neural Network
Trust in Aligned AI Decision Makers
Human-Centered AI in FinTech: A Conceptual Model and Strategic Research Agenda
RippleGo - An AI-based Voyage Planner for US Inland Waterways
Advancing Protein-Ligand Binding Site Prediction with 3D Instance Segmentation Techniques
Multimodal and multi-view predictive maintenance: A case study in the oil industry
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
Enhancing Mental Health Support Through Human-AI Collaboration: Toward Secure and Empathetic AI-Enabled Chatbots
Learning a logistic regression with the help of unknown features at prediction stage
Forecasting Partial Discharges of Cable Joints using Weather data
CI-VAE: a Generative Deep Learning Model for Class-Specific Data Interpolation
Antisera for Misconceptions Around Agentic Technology
Understanding Cyber Attackers Through Behavioral Science: A Systematic Study of the Representativeness Heuristic
Efficient Wafer Defect Patterns Recognition Using Deep Convolutional Neural Network
Learning to Fight Against Cell Stimuli: A Game Theoretic Perspective
Standardizing Scenario Annotations: a Comprehensive Mapping and Gap Analysis Across Openscenario, Openodd, and Openlabel
Decision-Maker Alignment: Benchmark Datasets
Visualization Driven AI Ensuring Quality in Wearable Time-Series Sensor Data for Healthcare
A Review of Data-Centric Artificial Intelligence (DCAI) and its Impact on manufacturing Industry: Challenges, Limitations, and Future Directions
Towards Deepfake Detection for Everyone: A Lightweight Deepfake Detection Algorithm (LiDD)
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
Spatial Intelligence in Edge Cognitive Computing
ChatGPT vs Bard: Which is a Better Writer?
Optimized Vision Transformer Training using GPU and Multi-threading
Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering
Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine
Large Language Model-assisted Surrogate Modelling for Engineering Optimization
Towards Efficient Rail Transportation: Bayesian Network Modeling for Predicting Passenger Train Delays Using Secondary Train Information
AdaAug: An Adaptive Data Augmentation Method for Change Detection
Explainability of AI-Driven Air Combat Agent
μPose: Synthetic Dataset for Human Pose Estimation in Microgravity Environments
Forecasting Teeth Cavities By Convolutional Neural Network
Open-World Learning Under Dataset Shift
Optimizing Supply Chain Risk Management: An Integrated Framework Leveraging Large Language Models
Fully Decentralized Collaborative Learning for Visual Question Answering in Distributed Scenarios
Exploring Large Language Models' Emotion Detection Abilities: Use Cases From the Middle East
LLM-Based Automated Mitigation and Assurance Case Generation Against Threats to AI Systems
Exploring viability of Test-Time Training: Application to 3D segmentation in Multiple Sclerosis
A New Method Using LLMs for Keypoints Generation in Qualitative Data Analysis
A General Spatiotemporal Imputation Framework for Missing Sensor Data
Fast and Robust Wind Speed Prediction Under Impulsive Noise via Adaptive Graph-Sign Diffusion
Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests
AI Hallucinations: A Misnomer Worth Clarifying
Linking Field Decomposition and Coverage Path Planning: A Coevolution Approach
Machine Learning with Heuristic Search-Based Hybrid Framework for Cycle Time Optimization in Semiconductor Production
Backdoor Attack Detection in Decision Tree Classifiers Using SHAP Explainability
Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers
Semi-Supervised Learning for Loan Default Prediction: Leveraging Unlabeled Data from Time-Aware Splits
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals
Facial Palsy Detection Through Spatiotemporal Landmark Analysis with Attention Mechanisms
Physically Interpretable Representation and Controlled Generation for Turbulence Data
Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products
SJ-ORPO: Alignment of LLMs Using Multi-Task Learning and Self-Judgment
Leveraging Machine Learning and ChemBERTa for Efficient Identification of CB1 Receptor-Active Compounds
Design Requirements for AI-Enabled Progressive Web Applications to Decrease Risk of Breast Cancer
GluTANN: Transformer-Based Continuous Glucose Monitoring Model with ANN Attention
AI for Healthcare: Applications of Semantic Segmentation in Lung Cancer Detection Using Python and Implications for Public Policy
Water Pressure Optimisation for Leakage Management Using Q Learning
Fine-Grained Partial Label Learning
GraphCodeBERT-Augmented Graph Attention Networks for Code Vulnerability Detection
Performance Analysis of Llama 2 Among Other LLMs
InvadeAI: INteractive ADvertising with Multimodal AI
Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
Context Sensitive Frames and AI Alignment
Faulty Neural Networks
Blended Temperature Forecasting Model for Thailand Using Multiple Data Sources
Jet Engine Modulation Recognition with Deep Learning
Artificial Intelligence for Medical Image Interpretation Using Expert Knowledge and Machine Learning
Comparative Analysis of Hate Speech Detection: Traditional vs. Deep Learning Approaches
AI-driven Unmanned Aerial System Conceptual Design with Configuration Selection
Artificial Intelligence Designer of Materials and Processes for Advanced Power Generation
Dynamical Sketching for Enhanced Communication Efficiency in Federated Learning
Diffcraft: A Modular Differentiable Framework for Music Synthesis with Timbre Transfer
AI-Driven UAV Path Planning for Efficient Medical Item Delivery
Cooperative Ai Agents Using Supervised Global Workspaces
The Impact of Tree Data on Urban Heat Island Mapping: A San José Case Study
Build a Resilient AI Ecosystem and Strategic Insights for the U.S
Ensemble Stacking with the Multi-Layer Perceptron Neural Network Meta-Learner for Passenger Train Delay Prediction
DAM-UNET: Dual Attention Module Based UNET for Lung Tumor Segmentation Using CT Scans
Comparative Analysis of Advanced AI-Based Object Detection Models for Pavement Marking Quality Assessment During Daytime
Enhancing Battery Capacity Estimation in Electric Vehicles Through Continuous Domain Adaptation
Big data-driven booking consolidation and scheduling of launching service in Singapore Port
SSR : SAM is a Strong Regularizer for domain adaptive semantic segmentation
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
Finger Versus Wrist Photoplethysmography Signals: Implications for Wearable Blood Pressure Monitoring
A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference
AI-Powered Data Encryption Techniques: Safeguarding Cloud Infrastructure
Clash of titans on imbalanced data: TabNet vs XGBoost
Establishing Trust in AI-Driven Data Observability and Quality Control: A Framework for Reliable and Scalable Standards
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
A Survey of Quantum Reinforcement Learning Approaches: Current Status and Future Research Directions
Coverage for Detecting Bias in Facial Recognition Datasets
Enhancing Early Stunting Detection: A Novel Approach using Artificial Intelligence with an Integrated SMOTE Algorithm and Ensemble Learning Model
Collision Scenario Analysis for Autonomous Vehicles Using Multimodal Deep Learning Models
Automatic radar waveform design Victor
A Comparative Study of Reinforcement Learning-based Collision Avoidance for Maritime Autonomous Surface Ships
Spectral analysis perspective of why misinformation containment is still an unsolved problem
UWM-Net: A Mixture Density Network Approach with Minimal Dataset Requirements for Underwater Image Enhancement
Quantifying Explainability: Metrics and Methodologies for Dense Neural Network Interpretability
It Takes Two to Trust: Mediating Human-AI Trust for Resilience and Reliability
A Comprehensive Categorization and Comparative Analysis of Methodologies in Aspect-Based Sentiment Analysis
Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization
Analyzing the Impact of Specific FAA Regulations on Commercial Drone Operations: A Focus on Enhanced Safety Measures
A Survey on Generative AI in Transportation Systems Management and Operation
Real-World License Plate Image Super-Resolution via Domain-specific Degradation Modeling
Application of Functional Kernel Hypothesis Testing for Channel Selection in Time Series Classification
Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction
Privacy Preserving Medical Image Classification and Steganography Using Deep Learning Architecture: a Pipeline
Verification of Neural Network Robustness Against Weight Perturbations Using Star Sets
Equitable Representation of Demographic Groups in Constrained Spectral Clustering
A DL-based estimation probability approach for VRU collision avoidance
AI for Becoming Fluent: Designing an App for Advanced Bilingual Speakers
Prediction of Students' Academic Progression using Machine Learning
Retrieval Augmented MedLM
Confidence Estimation in Analyzing Intravascular Optical Coherence Tomography Images with Deep Neural Networks
Federated Learning with Trust Evaluation for Industrial Applications
Trust, Support, and Adoption Intentions Towards Generative AI are Context Dependent
Online Spatio-temporal Action Detection for Eldercare
How Well Can Language Models Understand Politeness?
Benchmarking Shadow Removal for Facial Landmark Detection
Adoption of Generative AI in content creation: A case study from the advertising industry
Domain generalization via feature disentanglement with reconstruction for pathology image segmentation
Improving 3D Occupancy Prediction through Class-Balancing Loss and Multi-Scale Representation
Safe Multi-Agent Reinforcement Learning via Dynamic Shielding
NL2IBE - Ontology-controlled Transformation of Natural Language into Formalized Engineering Artefacts
When Event-Based Shape from Polarization Meets Spiking Neural Networks
Subterra: Estimating Soil Moisture at Root Zone Depths Using Science-Guided Learning
Exploration and Comparison of Locomotion Mode Recognition Models for Prosthetic Gait
Adversarially Trained Dynamic Ensemble: A Moving Target Defense Strategy for Robust Semantic Segmentation in Autonomous Vehicles
A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction
Edge-X: Cost Factor Evaluation Workflow for Model Deployment on Edge AI Devices
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults
FLAg: An automated client-independent federated learning system on HPC for digital pathology slice training
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO
Energy Efficient Explainable Regularization Technique for Sustainable Trustworthy AI
Synergistic-based Feature Selection for Online Learning with Gaussian Processes
Shapechain: Revealing Oxytocin-Receptor Structural Mimicry with AI Validation
Analyzing the Global AI Governance Ecosystem
Using a Structured Composition of Correlation Coefficient Functions to Optimize Machine Learning-Driven Cyber Attack Detection Models
MeLoDicA AI- Machine Learning Based Detection of Asthma via Vocal Audio Analysis
Deep Fake Audio Detection Framework Using MFCCs, Chroma Features, and Spectrogram Images
Route Planning through Genetic Algorithm for Multi-Axis Motion Control
The Global Workspace Theory: A Step Towards Artificial General Intelligence
A Case Study of Privacy Protection Challenges and Risks in AI-Enabled Healthcare App
Real-time Scheduling Optimization with Deep Learning-powered Demand Forecasting in Water Transportation
Anomaly Detection and Breakdown Diagnosis for Condition Monitoring of Marine Engines
Unveiling the dynamics of learning behaviors in learning K-12 math: An exploration of an ASSISTments Dataset
Inverse Multiobjective Optimization by Generative Model Prompting
PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning
Unfolding the Variability of Clinical Data in Parkinson Treatment using Multi-objective Analysis
ColdU: User Cold-start Recommendation with User-specific Modulation
Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE
Mitigating Exploding Gradients in Large Language Models with Neural Architecture Search
EffBin: Efficient Face Recognition via Binary Neural Networks
Machine and Deep Learning Based Clinical Decision Making for Coronary Artery Disease and Chatbot Tool
Local Optima Networks for Reinforcement Learning - A Case Study: Coupled Inverted Pendulum Task
Robust Anomaly Detection with Graph Neural Networks Using Controllability
Mining Contrastive Loss for Kinship Verification
Structure-Based Inverse Reinforcement Learning for Quantification of Biological Knowledge
Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges
Automl Framework for Ensembling: Split Validation Sets for Coefficient and Structure Selection
A Layered Multi-Expert Framework for Long-Context Mental Health Assessments
DIRA: Dynamic Incremental Regularised Adaptation
Automated pallet handling via occlusion-robust recognition learned from synthetic data
Graph Hierarchy and Language Model-Based Explainable Entity Alignment of Knowledge Graphs
Fitness Landscape Analysis of a Cell-Based Neural Architecture Search Space
XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images
Neuromorphic Encoding / Decoding of Data-Event Streams Based on the Poisson Point Process Model
Computer Vision Based Smart Security System for Explainable Edge Computing
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, EXPLAINS 2024, Porto, Portugal, November 20-22, 2024
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
Explaining Explaining
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation
Analyzing Exact Output Regions of Reinforcement Learning Policy Neural Networks for High-Dimensional Input-Output Spaces
LLM-Generated Class Descriptions for Semantically Meaningful Image Classification
Design of an Iterative Method for Deep Multimodal Feature Fusion in Heart Disease Diagnostics Utilizing Explainable AI
Feature Importance for Deep Neural Networks: A Comparison of Predictive Power, Infidelity and Sensitivity
Prediction of Alzheimer Disease on the DARWIN Dataset with Dimensionality Reduction and Explainability Techniques
Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images
Finding Cheapest Cycles in Vertex-weighted Quasi-transitive and Extended Semicomplete Digraphs
On the Complexity of Ordered Colourings
Kernelization for Convex Recoloring
Sampling Eulerian Orientations of the Triangle
Asymptotically Faster Algorithms for Parameterized FACE COVER
Proof Complexity Generators
New Code Bounds with Algebra and Semidefinite Programming
The Computer System GRAPHOGRAPH
Fixed Parameter Set Splitting, Linear Kernel and Improved Running Time
On the Maximum Cut Problem
Student-Project Allocation with Preferences over Projects
A Faster Algorithm for the Minimum Weight Triangulation Problem with Few Inner Points
Short Pursuit-Evasion
Stable Marriage with Ties and Bounded Length Preference Lists
FPT is P-Time Extremal Structure I
A Delta-Wye-Delta Reduction for Planar Grid Graphs in Subquadratic Time
Quantum Finite Automata and Weighted Automata
Trees, Grids and Matroids: Observations on Logical Ways to Avoid Complexity
An Approximation Algorithm for the Generalized Minimum Spanning Tree Problem with Bounded Cluster Size
Extremal Sequence Theory
Algorithms and Complexity in Durham 2005 - Proceedings of the First ACiD Workshop, 8-10 July 2005, Durham, UK