yusuke1997/dblp-id-title huggingface dataset:
Fusion Graph Convolutional Collaborative Filtering
Target Word Selection Using WordNet and Data-Driven Models in Machine Translation
Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen Tweets
TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification
Constraint-Based Evolutionary Local Search for Protein Structures with Secondary Motifs
Logical Fiction: Real vs. Ideal
Pronominal Anaphora Resolution Using a Shallow Meaning Representation of Sentences
Image Retrieval Using Most Similar Highest Priority Principle Based on Fusion of Colour and Texture Features
Enhanced Classification of Delay Risk Sources in Road Construction Using Domain-Knowledge-Driven Large Language Models
PLAE: Time-Series Prediction Improvement by Adaptive Decomposition
Learning, Collecting, and Using Ontological Knowledge for NLP
LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results
Object Matching Using Generalized Hough Transform and Chamfer Matching
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Causal Inference
Concurrent Discretization of Multiple Attributes
Dagster: Parallel Structured Search with Case Studies
PATI: An Approach for Identifying and Resolving Ambiguities
ALGNN: Auto-Designed Lightweight Graph Neural Network
Generating Creative Ideas Through Patents
Quantum Computing for Pattern Classification
Siamese Network Based Features Fusion for Adaptive Visual Tracking
Frame-Structure Logic with Extended Attribute Relations
Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation
Collaborative Positional-Motion Excitation Module for Efficient Action Recognition
CPNet: Controllable Point Cloud Generation Network Using Part-Level Information
Knowledge-Based Information Agents
Selecting Optimal Source for Transfer Learning in Bayesian Optimisation
Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network
Network Embedding with Topology-Aware Textual Representations
Generalized Knowledge Distillation for Topic Models
Designing Perception Modules to Shape Information for Agents
Generation of Environment-Irrelevant Adversarial Digital Camouflage Patterns
GA Optimized Wavelet Neural Networks
Rule-Based Agents in Temporalised Defeasible Logic
A Community-Based Collaborative Filtering System Dealing with Sparsity Problem and Data Imperfections
Construction of Large-Scale Bayesian Networks by Local to Global Search
A Framework for Fuzzy Rule-Based Cognitive Maps
Real-Time Snoring Sound Detecting U Shape Pillow System Using Data Analysis Algorithm
Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web
PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part III
Knowledge Decomposition: An Analysis
High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence
SL Method for Computing a Near-Optimal Solution Using Linear and Non-linear Programming in Cost-Based Hypothetical Reasoning
An Empirical Local Search for the Stable Marriage Problem
Classification of Diabetic Retinopathy Stages Using Image Segmentation and an Artificial Neural Network
Framework of Distributed Simulation System for Multi-agent Environment
Hierarchical Convolutional Attention Networks Using Joint Chinese Word Embedding for Text Classification
Using histories to model observations in theories of action
Keystroke Dynamics Extraction by Independent Component Analysis and Bio-matrix for User Authentication
The Geometry Enhanced Deep Implicit Function Based 3D Reconstruction for Objects in a Real-Scene Image
Low-Resource VITS-Based Emotion Speech Synthesis Using KNN Algorithm
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
Arrival Time Prediction and Train Tracking Analysis
On the Usefulness of Interactive Computer Game Logs for Agent Modelling
Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition
Diverse Policies Converge in Reward-Free Markov Decision Processes
Emergence of Grounded Language Representations for Continuous Object Properties Through Decentralized Embodied Learning
A Comparison of Selected Training Algorithms for Recurrent Neural Networks
Probability Based Genetic Programming for Multiclass Object Classification
Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media
Semantics of BDI Agents and Their Environment
Cortically-Inspired Overcomplete Feature Learning for Colour Images
Nature-Inspired Computational Model for Solving Bi-objective Traveling Salesman Problems
Penalty Guided PSO for Reliability Design Problems
Using Evolutionary Learning of Behavior to Find Weaknesses in Operating Systems
Detecting AI Planning Modelling Mistakes - Potential Errors and Benchmark Domains
Predicting Plain Text Imageability for Faithful Prompt-Conditional Image Generation
JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning
Spatial Gene Expression Prediction Using Coarse and Fine Attention Network
An Augmentation Hybrid System for Document Classification and Rating
Generation and Optimization of Fuzzy Neural Network Structure
Learning from Numerous Untailored Summaries
A Decomposed-Distilled Sequential Framework for Text-to-Table Task with LLMs
SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction
Association Rules Using Rough Set and Association Rule Methods
A Multi-scale Multi-modal Multi-dimension Joint Transformer for Two-Stream Action Classification
Information Bottleneck with Local Consistency
An Immune Algorithm for the Optimal Maintenance of New Consecutive-Component Systems
Spoofing Speech Detection Method Based on Self-supervised Front End and Feature Enhancement
Sparse Context Transformer for Few-Shot Object Detection
TS-CATMA: A Lung Cancer Electronic Nose Data Classification Method Based on Adversarial Training and Multi-scale Attention
An Intelligent Job Counseling System
Distribution-Adaptive Graph Attention Networks for Flood Forecasting
Improving Multi-label Classification Using Semi-supervised Learning and Dimensionality Reduction
Using Asymmetric Associations for Commonsense Causality Detection
Group Residual Dense Block for Key-Point Detector with One-Level Feature
Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection
Toward Improving Re-coloring Based Clustering with Graph b-Coloring
Genetic Algorithm Based Multi-document Summarization
Texture Classification Using Finite Ridgelet Transform and Support Vector Machines
Automatic Sound-Imitation Word Recognition from Environmental Sounds Focusing on Ambiguity Problem in Determining Phonemes
A Reversible Data Hiding in Encryption Domain for JPEG Image Based on Controllable Ciphertext Range of Paillier Homomorphic Encryption Algorithm
How do Autonomous Agents Solve Social Dilemmas?
A Novel Heuristic to Solve IA Network by Convex Approximation and Weights
Optimizing Exploration-Exploitation Trade-off in Continuous Action Spaces via Q-ensemble
CD-ABM: Curriculum Design with Attention Branch Model for Person Re-identification
What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests
A Novel Convolutional Neural Network for Statutes Recommendation
Learning Cooperative Behavior in Multi-Agent Environment - A Case Study of Choice of Play-Plans in Soccer
Clause Boundary Recognition Using Support Vector Machines
Two-Step Multi-factor Attention Neural Network for Answer Selection
Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction
Hierarchial Multi-agent Organization for Text Database Discovery
Towards Agent-Oriented Smart Office Based on Concurrent Logic Languages
Task-Based Wireless Mobile Agents Search and Deployment for Ad Hoc Network Establishment in Disaster Environments
Word Alignment Using a Matrix
Relationships between Logic Programming and RDF
Subspace Enhancement and Colorization Network for Infrared Video Action Recognition
Autonomy of Autonomous Agents
Vision Technique for the Recognition of Billet Characters in the Steel Plant
Outlier Mining on Multiple Time Series Data in Stock Market
Learning Relations from Social Tagging Data
A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning
Identification and Visualisation of Pattern Migrations in Big Network Data
Invariant Object Recognition Using Circular Pairwise Convolutional Networks
SAF: Semantic Attention Fusion Mechanism for Pedestrian Detection
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning
Topic Extraction from Text Documents Using Multiple-Cause Networks
Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory
Distributed B-SDLM: Accelerating the Training Convergence of Deep Neural Networks Through Parallelism
An End-to-End Structure Aware Graph Convolutional Network for Modeling Multi-relational Data
A framework for learning constraints: Preliminary report
Tagging Medical Documents with High Accuracy
On Tag Insertion and it's Complexity
Adapting Behavior by Inductive Prediction in Soccer Agents
A Lightweight Multi-agent Musical Beat Tracking System
Inductive constraint logic programming: An overview
Mitigating Misinformation Spreading in Social Networks via Edge Blocking
Mini-Batch Variational Inference for Time-Aware Topic Modeling
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
A Computer-Assisted Environment on Referential Understanding to Enhance Academic Reading Comprehension
Multiple Knowledge Transfer for Cross-Domain Recommendation
A Two-Step Zero Pronoun Resolution by Reducing Candidate Cardinality
Representing Actions over Dynamic Domains
Change-Point Estimation Using New Minimum Message Length Approximations
Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse Opinions
A Saliency Map Model for Active Perception Using Color Information and Local Competitive Mechanism
Rectified Encoder Network for High-Dimensional Imbalanced Learning
An Optimised Algorithm to Tackle the Model Explosion Problem in CTL Model Update
Computing the Local Space of a Mobile Robot
ZeFaV: Boosting Large Language Models for Zero-Shot Fact Verification
Agent-Oriented Programming in Linear Logic: An Example
Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems
A Stochastic Non-CNF SAT Solver
A Statistical Interestingness Measures for XML Based Association Rules
Objects as Extreme Points
Virtual Enterprise Design - BDI Agents vs. Objects
Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology
Efficient High-Resolution Human Pose Estimation
BEVTemp: Enhancing Vision-Based Roadside 3D Object Detection with Temporal Information
A Novel Geometric-Encoded and Feature-Fused Model for Pressure Distribution Prediction on Airfoils
CDAN: Cost Dependent Deep Abstention Network
Control Architectures for Autonomous and Interacting Agents: A Survey
Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension
Classification Using Improved Hybrid Wavelet Neural Networks
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
Recognizing Human Gender in Computer Vision: A Survey
Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs
On Constructing Fibred Tableaux for BDI Logics
Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation
Facial Expression Recognition in Online Course Using Light-Weight Vision Transformer via Knowledge Distillation
Pattern Matching and Information-Aware Between Reviews and Ratings for Recommendation
MuHca: Mixup Heterogeneous Graphs for Contrastive Learning with Data Augmentation
DyAGL: A Dynamic-Aware Adaptive Graph Learning Network for Next POI Recommendation
Reduction of the Multivariate Input Dimension Using Principal Component Analysis
Label Enhancement Using Inter-example Correlation Information
Model Based Program Specification and Program Generation - In a Case of Vehicle-Engine Control System Design
Multi-agent Cooperative Reasoning Using Common Knowledge and Implicit Knowledge
Causal Difference Detection Using Bayesian Networks
Steering Law Design for Single Gimbal Control Moment Gyroscopes Based on RBF Neural Networks
Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes
DSAM-GN: Graph Network Based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
Texture Feature Extraction Based on Fractional Mask Convolution with Cesáro Means for Content-Based Image Retrieval
Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment
Team Learning of Recursive Languages
Towards Effective Data Augmentations via Unbiased GAN Utilization
Adversarial Examples Defense via Combining Data Transformations and RBF Layers
A Novel Approach to Compute Similarities and Its Application to Item Recommendation
PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence, Kuching, Malaysia, September 3-7, 2012. Proceedings
Computing Stable Skeletons with Particle Filters
Statistical Model Based Approach to Spoken Language Acquisition
Learning to Synthesize and Remove Rain Unsupervisedly
Multiclass Classification Using Dilute Bandit Feedback
An Investigation of Objective Interestingness Measures for Association Rule Mining
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Predicting Procedure Duration to Improve Scheduling of Elective Surgery
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling
Partial Plan Recognition Using Predictive Agents
Exploiting Spatiotemporal Features to Infer Friendship in Location-Based Social Networks
Setting an Effective Pricing Policy for Double Auction Marketplaces
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages
STN-BA: Weakly-Supervised Few-Shot Temporal Action Localization
Hyperspectral Image Classification Based on Transformer and Generative Adversarial Network
An Adaptive Bidding Strategy for Combinatorial Auction-Based Resource Allocation in Dynamic Markets
Study and Comparison of 3D Face Generation
GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process
Efficient Matrix-Based Multi-view Projection Features Combined for Multi-modal 3D Semantic Segmentation
Belief network algorithms: A study of performance based on domain characterization
Conditional Localization and Mapping Using Stereo Camera
Fault Resolution in Case-Based Reasoning
Pum-Riang Thai Silk Pattern Classification Using Texture Analysis
A Game Model with Private Goal and Belief
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach
Dual Properties of the Relative Belief of Singletons
Towards Efficient Convolutional Neural Networks Through Low-Error Filter Saliency Estimation
Evolutionary Feature Selections for Face Detection System
Semi-supervised Single Image Deraining with Discrete Wavelet Transform
Possibilistic Reasoning for Intelligent Payment Agents
SVFNeXt: Sparse Voxel Fusion for LiDAR-Based 3D Object Detection
MFAD: A Multi-modality Face Anti-spoofing Dataset
Efficient Joint Detection Considering Complexity of Contours
Robotic Control of Endoscope Assistance in Skull Base Surgery Based on Adaptive RCM Point
Healthy or Harmful? Polarity Analysis Applied to Biomedical Entity Relationships
Graph Stream Mining Based Anomalous Event Analysis
DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges
An Intelligent System for Supporting Personal Creativity Based on Genetic Algorithm
High-Performance OCR on Packing Boxes in Industry Based on Deep Learning
Grounding Epistemic Modality in Speakers' Judgments
Context-Aware Product Bundling Architecture in Ubiquitous Computing Environments
Quantifying Commitment
Visual Query Expansion via Incremental Hypernetwork Models of Image and Text
Automated Security Analysis for Real-World IoT Devices
SoK: A First Order Survey of Quantum Supply Dynamics and Threat Landscapes
SoK Paper: Power Side-Channel Malware Detection
Data Processing Unit's Entry into Confidential Computing
Proceedings of the 13th International Workshop on Hardware and Architectural Support for Security and Privacy, HASP 2024, Austin, TX, USA, 2 November 2024
Proceedings of the 11th International Workshop on Hardware and Architectural Support for Security and Privacy, HASP 2022, Chicago, IL, USA, 1 October 2022
SFP: Providing System Call Flow Protection against Software and Fault Attacks
Robust and Secure Hybrid Quantum-Classical Computation on Untrusted Cloud-Based Quantum Hardware
Short Paper: Analysis of Vivado implementation strategies regarding side-channel leakage for FPGA-based AES implementations
Towards a Formally Verified Security Monitor for VM-based Confidential Computing
DINAR: Enabling Distribution Agnostic Noise Injection in Machine Learning Hardware
Clueless: A Tool Characterising Values Leaking as Addresses
Towards Effective Machine Learning Models for Ransomware Detection via Low-Level Hardware Information
SEIF: Augmented Symbolic Execution for Information Flow in Hardware Designs
SoK: Fault Injection Attacks on Cryptosystems
Proceedings of the 12th International Workshop on Hardware and Architectural Support for Security and Privacy, HASP 2023, Toronto, Canada, 29 October 2023
Position Paper: From Confidential Computing to Zero Trust, Come Along for the (Bumpy?) Ride
SoK Paper: Security Concerns in Quantum Machine Learning as a Service
Cryptographic Memory Tagging: Towards Stateless Integrity
Side-Channel Analysis and Countermeasure Design for Implementation of Curve448 on Cortex-M4
Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks
DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans
A gem5 based Platform for Micro-Architectural Security Analysis
ALARM: Active LeArning of Rowhammer Mitigations
Triton: Software-Defined Threat Model for Secure Multi-Tenant ML Inference Accelerators
EntryBleed: A Universal KASLR Bypass against KPTI on Linux
TPU as Cryptographic Accelerator
SoK: How Not to Architect Your Next-Generation TEE Malware?
Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP
A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas
CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable Device
Non-intrusive and Privacy Preserving Activity Recognition System for Infants Exploiting Smart Toys
Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach
Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuli
Non-invasive Analytics Based Smart System for Diabetes Monitoring
Falling Angel - A Wrist Worn Fall Detection System Using K-NN Algorithm
Co-design the Acceptability of Wearables in the Healthcare Field
Transforming Diabetes Care: A Review of IoT-Based Mobile Health Systems
How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?
GAIToe: Gait Analysis Utilizing an IMU for Toe Walking Detection and Intervention
IoT Technologies for HealthCare - 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings
IoT Technologies for Health Care - 8th EAI International Conference, HealthyIoT 2021, Virtual Event, November 24-26, 2021, Proceedings
Automatic Detector of Abnormal EEG for Preterm Infants
Design and Implementation of Smartphone-Based Tear Volume Measurement System
Automated Recognition and Difficulty Assessment of Boulder Routes
Test and Validation of an Internet of Things Platform for Remote Monitoring of Pregnant Women
An IoT-Based Healthcare Ecosystem for Home Intelligent Assistant Services in Smart Homes
Pulp Stone Detection Using Deep Learning Techniques
Development and Evaluation of a Novel Method for Adult Hearing Screening: Towards a Dedicated Smartphone App
A Case-Based Classification for Drivers' Alcohol Detection Using Physiological Signals
e-PWV: A Web Application for Assessing Online Carotid-Femoral Pulse Wave Velocity
A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy
Investigating the Use of Utility Monitoring as a Means of Recognizing Activities of Daily Living (ADLs) to Enable Independent Living Among People Living with Dementia
Design of IoT Solution for Velostat Footprint Pressure Sensor System
Perception of Delay in Computer Input Devices Establishing a Baseline for Signal Processing of Motion Sensor Systems
A Low-Cost Open-Source Bionic Hand Controller: Preliminary Results and Perspectives
Design and Evaluation for Digital Forensic Ready Wireless Medical Systems
Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening
Dynamic Time Division Scheduling Protocol for Medical Application Using Frog Synchronization Algorithm
Predicting Diabetes Disease in the Female Adult Population, Using Data Mining
Evaluations on Pending Regulation on Ethical Review Measures for Biomedical Research Involving Human Subjects and Artificial Intelligence
Reliable Communication in Health Monitoring Applications
Role of Big Data, AI and Deep Learning in Medical Image Training Models and Decision Support System Using I4.0 Technologies
Classification of Anxiety Based on EDA and HR
Remotely Supporting Patients with Obstructive Sleep Apnea at Home
An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring
Scalable Framework for Distributed Case-Based Reasoning for Big Data Analytics
Navigating Health Applications Realms: Consent Challenges and User Empowerment in European Law
Ins and Outs of Big Data: A Review
Design of a Smart Mechatronic System to Combine Garments for Blind People: First Insights
The E-Care@Home Infrastructure for IoT-Enabled Healthcare
IoT Technologies and Wearables for HealthCare - 10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24-26, 2023, Proceedings
Cultivate Smart and Healthy Ageing
Chronic Kidney Disease Early Diagnosis Enhancing by Using Data Mining Classification and Features Selection
Towards a Probabilistic Method for Longitudinal Monitoring in Health Care
Novel Wearable System for Surface EMG Using Compact Electronic Board and Printed Matrix of Electrodes
Application of KNN for Fall Detection on Qualcomm SoCs
Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing
Prediction of Conversion to Alzheimer's Disease Using 3D-DWT and PCA
Security and Privacy Issues in Health Monitoring Systems: eCare@Home Case Study
Run-Time Assurance for the E-care@home System
Halmstad Intelligent Home - Capabilities and Opportunities
Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Model
CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal
Why Hackers Love eHealth Applications
SocialBike: Quantified-Self Data as Social Cue in Physical Activity
Automatic Wardrobe for Blind People
Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking
A Preliminary Prototype of Smart Healthcare Modular System for Cardiovascular Diseases Remote Monitoring
Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport
Detection of Diabetic Retinopathy Using CNN
TEEM: A Mobile App for Technology-Enhanced Emergency Management
Identification of Drug-Drug Interactions Using OCR
Telemetry System for Diagnosis of Asthma and Chronical Obstructive Pulmonary Disease (COPD)