yusuke1997/dblp-id-title huggingface dataset:
A Task-Aware Dual Similarity Network for Fine-Grained Few-Shot Learning
Reasoning with Sets of Preferences in Default Logic
Elman's Recurrent Neural Networks Using Resilient Back Propagation for Harmonic Detection
Convex Hull Approximation of Nearly Optimal Lasso Solutions
Automated Haggling: Building Artificial Negotiators
Video-Audio Multimodal Fall Detection Method
Lightweight Image Dehazing Neural Network Model Based on Estimating Medium Transmission Map by Intensity
A Feature Space Alignment Learning Algorithm
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic
Text Classification Using Belief Augmented Frames
Neural Machine Translation with an Awareness of Semantic Similarity
Element Re-identification in Crowdtesting
Compiling Logical Features into Specialized State-Evaluators by Partial Evaluation, Boolean Tables and Incremental Calculation
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning
Transfer Learning for Driving Pattern Recognition
MSAN: Multi-Scale Adaptive Network Guided by Human Attention for Accident Prediction
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task
Similarity Search by Generating Pivots Based on Manhattan Distance
Context-Aware Structural Adaptive Graph Neural Networks
R-UNSEARCHMO: A Refinement on UNSEARCHMO
Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection
Contourlet Transform Based Seismic Signal Denoising via Multi-scale Information Distillation Network
Mining Multidimensional Data through Element Oriented Analysis
Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses
Agents and Web Services Supported Business Exception Management
Human Augmented Cognition Based on Integration of Visual and Auditory Information
Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning
Non-negative Matrix Factorization on Kernels
Harnessing Wikipedia Semantics for Computing Contextual Relatedness
Environmental Reconstruction for Autonomous Vehicle Based on Image Feature Matching Constraint and Score
Multi-Feature Fusion based Non Negative Matrix Factorization: Facial Expression Recognition from Imaging Sensors
Customizing Spatial-Temporal Graph Mamba Networks for Pandemic Forecasting
Syntactic Representations of Semantic Merging Operations
Distributed Population-Based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics
Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks
Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis
Transformers Fusing Wavelet with High-Frequency Enhancement for SAR Ship Detection
Multi-label Active Learning with Conditional Bernoulli Mixtures
Text Disambiguation Using Support Vector Machine: An Initial Study
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Local Search for Stable Marriage Problems with Ties and Incomplete Lists
MaxMatcher: Biological Concept Extraction Using Approximate Dictionary Lookup
T-FIA: Temporal-Frequency Interactive Attention Network for Long-Term Time Series Forecasting
Aircraft Detection in Remote Sensing Images Based on Background Filtering and Scale Prediction
Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability
A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales
Merging Epistemic States
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part IV
Face Recognition Using Direct-Weighted LDA
Meta-level Control of Multiagent Learning in Dynamic Repeated Resource Sharing Problems
Multi-scale Traffic Camera Image Detection Network Based on Improved YOLOv8
Tropical Cyclone Intensity Forecasting Model: Balancing Complexity and Goodness of Fit
Enhancing Object Detection Accuracy with Hybrid Supervision and Trans-Stage Interaction
Information Geometry of Neural Networks
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I
Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection
Weakly-Supervised Temporal Action Localization with Multi-Head Cross-Modal Attention
Optimizing Answer Representation Using Metric Learning for Efficient Short Answer Scoring
A Visual Approach for Classification Based on Data Projection
Zero-Shot Referring Image Segmentation with Hierarchical Prompts and Frequency Domain Fusion
Economical Operation of Thermal Generating Units Integrated with Smart Houses
Deep Multi-modal Learning with Cascade Consensus
MMISeg: A Semi-supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation
Partial Encryption of Digital Contents Using Face Detection Algorithm
Implementation of Automatic Nutrient Calculation System for Cooking Recipes Based on Text Analysis
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part II
Multi-scale Lightweight Neural Network for Real-Time Object Detection
Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network
A Self-supervised Graph Autoencoder with Barlow Twins
Knowledge and Argument Transformation for Arguing Mobile Agents
Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation
Real Time Unobtrusive Human Behaviours Recognition
Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction
Integrating Multiscale Contrast Regions for Saliency Detection
Transfer Learning for Financial Time Series Forecasting
Exploiting Word Cluster Information for Unsupervised Feature Selection
A Quick Rank Based on Web Structure
Evolving Neural Networks for Decomposable Problems Using Genetic Programming
Network Embedding by Resource-Allocation for Link Prediction
Creating Theoretical Terms for Non-deterministic Actions
Predicting Consumer Familiarity with Health Topics by Query Formulation and Search Result Interaction
Ontology Services-Based Information Integration in Mining Telecom Business Intelligence
Evolutionary Ensemble Based Pattern Recognition by Data Context Definition
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I
New Particle Swarm Optimization Algorithm for Solving Degree Constrained Minimum Spanning Tree Problem
Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails
Synthesizing Image Representations of Linguistic and Topological Features for Predicting Areas of Attention
Unsupervised Stereo Matching with Occlusion-Aware Loss
Expediting Model Selection for Support Vector Machines Based on an Advanced Data Reduction Algorithm
Exploiting Comparable Corpora for Cross-Language Information Retrieval
Determination of Usenet News Groups by Fuzzy Inference and Kohonen Network
On Formation of Exception Hierarchy
Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and Deep Learning
A Fuzzy Game Theoretic Approach to Multi-Agent Coordination
Intellimedia Systems: Research and Applications at the Intersection of Multimedia and Artificial Intelligence
Joint Extraction of Opinion Targets and Opinion Expressions Based on Cascaded Model
Knowledge Representation, Belief Revision, and the Challenge of Optimality
A Heuristic Data Reduction Approach for Associative Classification Rule Hiding
An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery
An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction
COVER: A Heuristic Greedy Adversarial Attack on Prompt-Based Learning in Language Models
Managing Parking Fees Based on Massive Parking Accounting Data
Semantic-Adversarial Graph Convolutional Network for Zero-Shot Cross-Modal Retrieval
Natural Language Opinion Search on Blogs
Multi-objective Evolutionary Instance Selection for Multi-label Classification
TypicFace: Dynamic Margin Cosine Loss for Deep Face Recognition
Collective Hyper-heuristics for Self-assembling Robot Behaviours
Multi-agent Epistemic Planning with Inconsistent Beliefs, Trust and Lies
Multi-agent Coordination in Planning
Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation
Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning
EEF1-NN: Efficient and EF1 Allocations Through Neural Networks
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval
An Agent-Based Architecture for Software Tool Coordination
SICM: A Supervised-Based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT
HDF-SegNet: Dynamic Integration of Hierarchical Information for Cardiac Magnetic Resonance Image Segmentation
Re-ordering Methods in Adaptive Rank-Based Re-indexing Scheme
Splitting Objectives: A Method for Improving Training Process of Image Generation Models
Managing Information Complexity of Supply Chains via Agent-Based Genetic Programming
Discriminative Metric Learning for Shape Variation Object Tracking
Incorporation of Japanese Information Retrieval Method Using Dependency Relationship into Probabilistic Retrieval
The Hyper System: Knowledge Reformation for Efficient First-Order Hypothetical Reasoning
LAKUBE: An Improved Multi-Armed Bandit Algorithm for Strongly Budget-Constrained Conditions on Collecting Large-Scale Sensor Network Data
Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags
Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening
Building an Egyptian-Arabic Speech Corpus for Emotion Analysis Using Deep Learning
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery
A Click Prediction Model Based on Residual Unit with Inception Module
Intrusion Detection by Combining Multiple Hidden Markov Models
Contents Organization Support for Logical Presentation Flow
Automatic Making of Sokoban Problems
Semantic Structural and Occlusive Feature Fusion for Pedestrian Detection
Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments
Graph Based Family Relationship Recognition from a Single Image
A Spatial Interpolation Method Based on BP Neural Network with Bellman Equation
Realizing Audio-Visually Triggered ELIZA-Like Non-verbal Behaviors
Revisable Analysis and Design by Actors Interaction: Emergency Case Study
Content-Based Readability Assessment: A Study Using A Syllabic Alphabetic Language (Thai)
An Improved Genetic-Based Particle Swarm Optimization for No-Idle Permutation Flow Shops with Fuzzy Processing Time
VTLayout: Fusion of Visual and Text Features for Document Layout Analysis
A Traffic Flow Prediction Model Integrating Dynamic Implicit Graph Information
Improving Newsgroup Clustering by Filtering Author-Specific Words
A Simple Illumination Normalization Algorithm for Face Recognition
Constructing Bayesian Networks from Association Analysis
Prediction with Confidence in Item Based Collaborative Filtering
Speeding up Genetic Programming Based Symbolic Regression Using GPUs
Multilayer Vision and Language Augmented Transformer for Image Captioning
Contrastive Prototype Network for Generative Zero-Shot Learning
LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation
Mining Multi-dimensional Frequent Patterns Without Data Cube Construction
Fuzzy Rough Based Feature Selection by Using Random Sampling
An ATP of a Relational Proof System for Order of Magnitude Reasoning with Negligibility, Non-closeness and Distance
Elastic Learning Rate on Error Backpropagation of Online Update
Consistency of Action Descriptions
Humanoid Active Audition System Improved by the Cover Acoustics
Joint Residual Pyramid for Depth Map Super-Resolution
A Cost-Efficient Framework for Scene Text Detection in the Wild
Multi-modal Food Recommendation Using Clustering and Self-supervised Learning
A Hybrid Model for Public Electric Vehicle Charging Infrastructure Planning
Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing
Span Labeling Approach for Vietnamese and Chinese Word Segmentation
PRICAI 2023: Trends in Artificial Intelligence - 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15-19, 2023, Proceedings, Part II
Scalable Machine Learning Techniques for Highly Imbalanced Credit Card Fraud Detection: A Comparative Study
Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction
Machine Learning of Well-defined Thesaurus Concepts
On Efficient Evolving Multi-Context Systems
CAMLET: A Platform for Automatic Composition of Inductive Learning Systems Using Ontologies
Trajectory Prediction with Heterogeneous Graph Neural Network
Remote Messaging Mechanism Supporting Agent Mobility Based on CORBA
A Framework of Two-Stage Combination of Multiple Recognizers for Handwritten Numerals
Audio-Based Music Classification with DenseNet and Data Augmentation
RSANet: Relationship-Aware Symmetric Alignment Network for Fine-Grained Video-Text Retrieval
Web-Based Tutoring System for Computer Security
Unmixing Detrital Zircon U-Pb Age Distribution Based on Multi-objective Optimization
Pivot-Based Bilingual Dictionary Extraction from Multiple Dictionary Resources
Improved Network Pruning via Similarity-Based Regularization
Multi-level Analysis of Peace and Conflict Data in GDELT
Approximate validity
HN-Darts:Hybrid Network Differentiable Architecture Search for Industrial Scenarios
Epistemic States Guiding the Rational Dynamics of Information
Attention-Guided Self-supervised Framework for Facial Emotion Recognition
Method of Ideal Solution in Fuzzy Set Theory and Multicriteria Decision Making
Distributed Reinforcement of Arc-Consistency
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank
Temporal Interval Logic in Data Mining
A Novel Support Vector Machine Metamodel for Business Risk Identification
Opinion Target Extraction for Short Comments
Prediction of Nash Bargaining Solution in Negotiation Dialogue
Metrics for Evaluating Actionability in Explainable AI
Learning stable concepts in a changing world
An Improved Generic Arc Consistency Algorithm and Its Specializations
Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning
On Semantic Resolution with Lemmaizing and Contraction
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction
An Evolving Type-2 Neural Fuzzy Inference System
On the Gradient-Based Sequential Tuning of the Echo State Network Reservoir Parameters
BFNet: A Bi-frequency Fusion Semantic Segmentation Network for High-Resolution Remote Sensing Images
An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach
Image Captioning with Relational Knowledge
An Influence Diagram Approach for Multiagent Time-Critical Dynamic Decision Modeling
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
Node Based Row-Filter Convolutional Neural Network for Brain Network Classification
A Heuristic Framework for Personalized Route Recommendation Based on Convolutional Neural Networks
Texture Deformation Based Generative Adversarial Networks for Multi-domain Face Editing
Performing Locally Linear Embedding with Adaptable Neighborhood Size on Manifold
Inductive Equational Reasoning
Event Recognition in Parking Lot Surveillance System
A Surface Defect Detection Method Based on Positive Samples
Modeling and Classification of Audio Signals Using Gradient-Based Fuzzy C-Means Algorithm with a Mercer Kernel
Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction
Neural Based Steganography
Text Classification with Enriched Word Features
Flexible Multi-agent Collaboration Using Pattern Directed Message Collaboration of Field Reactor Model
A Hybrid Mood Classification Approach for Blog Text
What Shall We Do Next? The Challenges of AI Midway through Its First Century
Distributed Fault Location in Networks Using Learning Mobile Agents
Multiple Attention Network for Facial Expression Recognition
Magic Mirror Stealth: Interactive Automatic Picture Editing System
A Study of Misinformation Games
External Force for Active Contours: Gradient Vector Convolution
RWS (Random Walk Splitting): A Random Walk Based Discretization of Continuous Attributes
Relevance Feedback Using Adaptive Clustering for Region Based Image Similarity Retrieval
InCA: A Mobile Conversational Agent
Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network
A Geometric Approach to Anytime Constraint Solving for TCSPs
Chinese Multi-document Summarization Using Adaptive Clustering and Global Search Strategy
Simplifying Paragraph-Level Question Generation via Transformer Language Models
Large Margin Coupled Mapping for Low Resolution Face Recognition
Frequency Domain Feature Learning with Wavelet Transform for Image Translation
Desktop Tower Defense Is NP-Hard
A Relaxation of a Semiring Constraint Satisfaction Problem Using Combined Semirings
Knowledge Representation Issues in Information Extraction
A Study of Players' Experiences During Brain Games Play
Unified Counterfactual Explanation Framework for Black-Box Models
Branch and Bound Algorithms to Solve Semiring Constraint Satisfaction Problems
Leveraging Dual Encoder Models for Complex Question Answering over Knowledge Bases
A Communication Protocol Supporting Dynamic Autonomy Agreements in Multi-agent Systems
Incentive Mechanism Design for ROI-Constrained Auto-bidding
Attacking Object Detectors Without Changing the Target Object
General Framework for Mechanizing Induction using Test Set
Recognition of Simultaneous Speech by Estimating Reliability of Separated Signals for Robot Audition
Personalized Search Using ODP-based User Profiles Created from User Bookmark
NETrack: A Lightweight Attention-Based Network for Real-Time Pose Tracking of Nasal Endoscope Based on Endoscopic Image
Automatic Keyword Extraction from Single-Sentence Natural Language Queries
The Role of Abduction in Internet-Based Applications
Neural Network Combines with a Rotational Invariant Feature Set in Texture Classification
Face Recognition Using Enhanced Fisher Linear Discriminant Model with Facial Combined Feature
Bayesian Approaches to Ranking Sequential Patterns Interestingness
Persisting Autonomous Workflow for Mobile Agents Using a Mobile Thread Programming Model
Data Mining in Disease Management - A Diabetes Case Study
Constrained Sequence Classification for Lexical Disambiguation
Towards Understanding Classification and Identification
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement
Efficient Vehicle Localization Based on Road-Boundary Maps
The Application of B-Spline Neurofuzzy Networks for Condition Monitoring of Metal Cutting Tool
Filtering Objectionable Image Based on Image Content
Chinese Abbreviation-Definition Identification: A SVM Approach Using Context Information
KDED: A Knowledge Distillation Based Edge Detector
A Model of Rhetorical Structure Analysis of Japanese Texts and Its Application to Intelligent Text Processing: A Case for a Smart Help System
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results
What Is a Qualitative Calculus? A General Framework
Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer
Vibration Control of Suspension System Based on a Hybrid Intelligent Control Algorithm
A Novel Heuristic Algorithm for Privacy Preserving of Associative Classification
Identity Resolution in Ontology Based Data Access to Structured Data Sources
GMEKT: A Novel Graph Attention-Based Memory-Enhanced Knowledge Tracing
MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub
Constraint Satisfaction over Shared Multi-set Value Domains
Random Walk Erasing with Attention Calibration for Action Recognition
Personalized Federated Learning with Feature Alignment via Knowledge Distillation
A Method on Improvement of the Online Mode Error Backpropagation Algorithm for Pattern Recognition
Exploring the Distributional Semantic Relation for ADR and Therapeutic Indication Identification in EMR
Action Recognition Based on Multi-perspective Feature Excitation
Multimodal Biometric Person Authentication Using Fingerprint, Face Features
Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution
Gleams of People: Monitoring the Presence of People with Multi-Agent Architecture
Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods
Learning Dynamics of Neural Networks with Singularity - Standard Gradient vs. Natural Gradient
Online Self-reorganizing Neuro-fuzzy Reasoning in Interval-Forecasting for Financial Time-Series
Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization
A Wrapper-Based Approach to Robot Learning Concepts from Images
Fuzzy Project Scheduling with Multiple Objectives
UPM-3D Facial Expression Recognition Database(UPM-3DFE)
Asymmetric Mutual Learning for Unsupervised Cross-Domain Person Re-identification
Robust Abrupt Motion Tracking via Adaptive Hamiltonian Monte Carlo Sampling
Supervised Clinical Abbreviations Detection and Normalisation Approach
Public Project with Minimum Expected Release Delay
Limited Logical Belief Analysis
Aspect-Based Sentiment Analysis via Virtual Node Augmented Graph Convolutional Networks
A Closer Look at Preduction
Dual-Mode Contrastive Learning-Enhanced Knowledge Tracing
A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier
Indexing Approach for Delivery Demands with Time Constraints
Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation
Node-Level Lymph Node Automatic Segmentation in CT Images Using Deep Parallel Structure-Related 3D U-Net Variant
SIN: Superpixel Interpolation Network
Pose Preserving Landmark Guided Neural Radiation Fields for Talking Portrait Synthesis
Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
Exploring Review Content for Recommendation via Latent Factor Model
Scalable Text Classification with Sparse Generative Modeling
Chinese Macro Discourse Parsing on Generative Fusion and Distant Supervision
CSS: Contrastive Span Selector for Multi-span Question Answering
Domain Adaptive Neural Networks for Object Recognition
Collaborative Filtering with the Simple Bayesian Classifier
Learning Simple Recursive Concepts by Discovering Missing Examples
Inertial Constrained Hierarchical Belief Propagation for Optical Flow
Towards Exposing Cyberstalkers in Online Social Networks
AI-Facilitation for Consensus-Building by Virtual Discussion Using Large Language Models
Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM
Amalyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System
Subclass Maximum Margin Tree Error Correcting Output Codes
Circuit Consistencies
Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines
SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor
An Innovative Approach for Predicting Both Negotiation Deadline and Utility in Multi-issue Negotiation
Preserving Individual User's Right to Be Forgotten in Enterprise-Level Federated Learning