yusuke1997/dblp-id-title huggingface dataset:
Evidential Temporal Representations and Reasoning
An Efficient Approach for Mining Periodic Sequential Access Patterns
CIFI: An Intelligent Agent for Citation Finding on The World-wide Web
Hybrid Search of Feature Subsets
A Comparative Study on Chinese Text Categorization Methods
Global Boundary Refinement for Semantic Segmentation via Optimal Transport
Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction
Development of an Assistive Tongue Drive System for Disabled Individuals
Using Ripple Down Rules for Actions and Planning
Face Detection Using an Adaptive Skin-Color Filter and FMM Neural Networks
A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round Discussions
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification
Network Embedding Based on a Quasi-Local Similarity Measure
Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data
When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline
VSEC: Transformer-Based Model for Vietnamese Spelling Correction
A Joint Framework with Audio Generation for Rare Gunshot Event Detection
Learning First-Order Rules from Image Applied to Glaucoma Diagnosis
Fusing Semantic Prior Based Deep Hashing Method for Fuzzy Image Retrieval
A New Approach for Applying Support Vector Machines in Multiclass Problems Using Class Groupings and Truth Tables
Proposal of a Multimodal Dialogue Description Language
Pedestrian Trajectory Prediction Using a Social Pyramid
Strategy-Proofness, Envy-Freeness and Pareto Efficiency in Online Fair Division with Additive Utilities
Conceptual Classification and Browsing of Internet FAQs Using Self-Organizing Neural Networks
Low-Rank Orthonormal Analysis Dictionary Learning for Image Classification
Bi-directional Features Reuse Network for Salient Object Detection
Modeling of Travel Behavior Processes from Social Media
Accelerating Linear Causal Model Discovery Using Hoeffding Bounds
Classification Based upon Frequent Patterns
Adaptive Relaxations for Multistage Robust Optimization
DAGE: Dropout with Action Gradient Estimator for Continuous Control
A Multi-agent Based Approach to the Inventory Routing Problem
Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments
Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing
A Stagewise Deep Learning Framework for Tooth Instance Segmentation in CBCT Images
Coherence Measure Based on Average Use of Formulas
Eliminate Redundancy in Parallel Search: A Multi-agent Coordination Approach
Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback
Structure Extraction from Presentation Slide Information
Determine the Optimal Parameter for Information Bottleneck Method
How to Design Good Results for Multiple Learning Agents in Scheduling Problems?
EC-PEFT: An Expertise-Centric Parameter-Efficient Fine-Tuning Framework for Large Language Models
Augmenting an Answer Set Based Controlled Natural Language with Temporal Expressions
Dialogue Summarization Based on Feature Extraction and Commonsense Injection
Automated Negotiation Mechanisms for Autonomous Vehicles at Intersections
Question Classification Based on Fine-Grained PoS Annotation of Nouns and Interrogative Pronouns
RC-CNN: Reverse Connected Convolutional Neural Network for Accurate Player Detection
A Computational Model of Reasoning as Socially-Constructed Process
On the Stability of a Dynamic Stochastic Capacity Pricing Scheme for Resource Allocation in a Multi-agent Environment
An Anomaly Detection Framework for System Logs Based on Ensemble Learning
Derivational Grammar Approach to Morphological Analysis of Japanese Sentences
Heuristics- and Statistics-Based Wikification
Using Locally Weighted Learning to Improve SMOreg for Regression
A Better Understanding of the Interaction Between Users and Items by Knowledge Graph Learning for Temporal Recommendation
Learning Vietnamese-English Code-Switching Speech Synthesis Model Under Limited Code-Switched Data Scenario
Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks
State-Based Regression with Sensing and Knowledge
Algorithms for Solving the Ship Berthing Problem
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams
A General Personality Analysis Model Based on Social Posts and Links
Modeling Convention Emergence by Observation with Memorization
Formalization for the Agent Method by Using pi-Calculus
Cooperative Bidding Mechanisms among Agents in Multiple Online Auctions
Stacked Mixed-Scale Networks for Human Pose Estimation
Fair Allocation with Special Externalities
Learning as Abductive Deliberations
Three-Subagent Adapting Architecture for Fighting Videogames
Multi-task Text Normalization Approach for Speech Synthesis
Feature Selection for Bagging of Support Vector Machines
NIIA: Nonparametric Iterative Imputation Algorithm
Use of Nested K-Means for Robust Head Location in Visual Surveillance System
Partial Weighted MaxSAT for Optimal Planning
Creative 3D Designs Using Interactive Genetic Algorithm with Structured Directed Graph
ARNet: Accurate and Real-Time Network for Crowd Counting
Domain World Models Represented from Variable Viewpoints for ICAI Systems of High-School Chemistry
Stigmergy-Based Influence Maximization in Social Networks
Developing Methodologies of Knowledge Discovery and Data Mining to Investigate Metropolitan Land Use Evolution
Shape Matching for Robot Mapping
The Electroencephalography Signals Using Artificial Neural Network for Monitoring Fatigue System
Map Building by Sequential Estimation of Inter-feature Distances
Building a Semantic Ontology for Virtual Peers in Narrative-Based Environments
Maximum Margin Tree Error Correcting Output Codes
An Anytime Algorithm for Interpreting Arguments
A Feature Selection for Text Categorization on Research Support System Papits
Fast Solution to the Fair Ranking Problem Using the Sinkhorn Algorithm
Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function
Inducing complex spatial descriptions in two dimensional scenes
A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation
Ontology Design and Its Application in the Petroleum Remediation Domain
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint
Investigating Individual Decision Making Patterns in Games Using Growing Self Organizing Maps
POPVI: A Probability-Based Optimal Policy Value Iteration Algorithm
Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services
Checkers Strategy Evolution with Speciated Neural Networks
FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation
An Analysis of Influential Users for Predicting the Popularity of News Tweets
AMI: A Model of Intelligence
Hidden Markov Modeling for Multi-agent Systems
ParallelNet: A Depth-Guided Parallel Convolutional Network for Scene Segmentation
The role of default representations in incremental learning
Automatic Conditional Generation of Personalized Social Media Short Texts
A Multi-memory Multi-population Memetic Algorithm for Dynamic Shortest Path Routing in Mobile Ad-hoc Networks
All up to You: Controllable Video Captioning with a Masked Scene Graph
Traffic Sign Recognition Model Based on Small Object Detection
Some approaches to reasoning with incomplete and changing information
High-Order Structure Enhanced Graph Clustering Network
Dance Generation From Music with Enhanced Beat
Consistency Regularization for Ensemble Model Based Reinforcement Learning
Using Decision Tree Induction for Discovering Holes in Data
Single-agent and Multi-agent Approaches to WWW Information Integration
Modeling the Tail of a Hyperexponential Distribution to Detect Abnormal Periods of Inactivity in Older Adults
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
Improved Feature Transformations for Classification Using Density Estimation
A Compromising Strategy Based on Constraint Relaxation for Automated Negotiating Agents
Fuzzy Genetic Algorithms for Pairs Mining
GHGA-Net: Global Heterogeneous Graph Attention Network for Chinese Short Text Classification
Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting
Integration of Multimedia and Art for New Human-Computer Communications
Quantified Coalition Logic for BDI-Agents: Completeness and Complexity
Personalized POIs Travel Route Recommendation System Based on Tourism Big Data
An Agent-Based Hybrid Intelligent System for Financial Investment Planning
Random Sparsity Defense Against Adversarial Attack
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing
A System for Modelling Agents Having Emotion and Personality
Building Trust for Belief Revision
Robust Portfolio Optimization for Recommender Systems Considering Uncertainty of Estimated Statistics
Robust Low-Rank Recovery with a Distance-Measure Structure for Face Recognition
MLRQA: A Dataset with Multimodal Logical Reasoning Challenges
Hierarchical Differential Evolution for Parameter Estimation in Chemical Kinetics
An Hierarchical Terrain Representation for Approximately Shortest Paths
Correcting Large Knowledge Bases Using Guided Inductive Logic Learning Rules
Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis
Mixed Neighbourhood Local Search for Customer Order Scheduling Problem
ABAE: Utilize Attention to Boost Graph Auto-Encoder
An Improved Particle Filter Target Tracking Algorithm Based on Color Histogram and Convolutional Network
An Application of Hierarchical Knowledge Integration in Hand-Written Form Processing
AF-SSD: Self-attention Fusion Sampling and Fuzzy Classification for Enhanced Small Object Detection
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part III
Parallel Cost-based Abductive Reasoning for Distributed Memory Systems
Inferring Tourist Behavior and Purposes of a Twitter User
Visualizing the Unseen: Arabic Image-to-Story Generation Using Deep Learning Techniques
HS 2 N: Heterogeneous Semantics-Syntax Fusion Network for Document-Level Event Factuality Identification
ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs
CAFGO: Confidence-Adaptive Factor Graph Optimization Algorithm for Fusion Localization
A Network Event Correlation Algorithm Based on Fault Filtration
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis
Evaluation of Deposit-Based Road Pricing Scheme by Agent-Based Simulator
TeMME: Temporal Knowledge Graph Completion Using Multi-grade Multivector Embeddings
IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo
Query Classification and Expansion for Translation Mining Via Search Engines
PRICAI 2016: Trends in Artificial Intelligence - 14th Pacific Rim International Conference on Artificial Intelligence, Phuket, Thailand, August 22-26, 2016, Proceedings
Mastering Uncertainty: Towards Robust Multistage Optimization with Decision Dependent Uncertainty
A New Multi-constrained QoS Routing Algorithm in Mobile Ad Hoc Networks
A Secure Communication Scheme for Multiagent Systems
Time-Constrained HeuristicSearch for Practical Route Finding
A Limited Lattice Structure for Incremental Association Mining
A Correlation Based Imputation Method for Incomplete Traffic Accident Data
Extending Unit Propagation Look-Ahead of DPLL Procedure
Primate Face Identification in the Wild
Dimensions of Adjustable Autonomy
Using Domain Knowledge in ILP to Discover Protein Functional Models
Solving the Personal Computer Configuration Problems as Discrete Optimization Problems: A Preliminary Report
On Partial Features in the DLF Family of Description Logics
Dynamically Determining Affect During Scripted Dialogue
Data Mining for Risk Analysis and Targeted Marketing
Building Structured Web Community Portals Via Extraction, Integration, and Mass Collaboration
Improved Efficiency of Oil Well Drilling through Case Based Reasoning
Zoom-Based AutoEncoder for Origin-Destination Demand Prediction
Reliable Agent Communication - A Pragmatic Perspective
Toward Formalizing Common-Sense Psychology: An Analysis of the False-Belief Task
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift
From belief revision to design revision: Applying theory change to changing requirements
Relational Agents to Promote eHealth Advice Adherence
Harnessing Higher-Order (Meta-)Logic to Represent and Reason with Complex Ethical Theories
A Unified Algebraic Structure for Uncertain Reasoning
Graph-Guided Latent Variable Target Inference for Mitigating Concept Drift in Time Series Forecasting
Learning of Evaluation Functions to Realize Playing Styles in Shogi
Offline Text and Non-text Segmentation for Hand-Drawn Diagrams
Frequency Domain Based Learning with Transformer for Underwater Image Restoration
Spatial Function Representation and Retrieval
Wrapper Generation by Using XML-Based Domain Knowledge for Intelligent Information Extraction
3D-HRFC: 3D-Aware Image Generation at High Resolution with Faster Convergence
Using Machine Learning for Determining Network Robustness of Multi-Agent Systems Under Attacks
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem
CrGAN: Continuous Rendering of Image Style
Using Context to Solve the Correspondence Problem in Simultaneous Localisation and Mapping
Evaluating Noise Correction
Indonesian Morphological Parser with Minimum Connectivity Cost to Solve Ambiguities
Markov Modelling of Simple Directional Features for Effective and Efficient Handwriting Verification
Probabilistic Nogood Store as a Heuristic
GCMNet: Gated Cascade Multi-scale Network for Crowd Counting
Constructing an Autonomous Agent with an Interdependent Heuristics
Locally Centralizing Samples for Nearest Neighbors
Generalization of Iterative Learning Control for Multiple Desired Trajectories in Robotic Systems
Two Natural Heuristics for 3D Packing with Practical Loading Constraints
An Image Retrieval System Based on Colors and Shapes of Objects
Matrix Entropy Driven Maximum Margin Feature Learning
BMF: Matrix Factorization of Large Scale Data Using Block Based Approach
Intelligent Agent Systems, Theoretical and Practical Issues, Based on a Workshop Held at PRICAI'96, Cairns, Australia, August 26-30, 1996
MGEoT: A Multi-grained Ensemble Method for Time Series Classification
Constrained Ant Colony Optimization for Data Clustering
A Graph Model for Clustering Based on Mutual Information
Towards Multilingual Information Discovery through a SOM based Text Mining approach
Logic Programming for Agents
A Comparative Study on Statistical Machine Learning Algorithms and Thresholding Strategies for Automatic Text Categorization
Extending Partial Orders for Sort Reasoning
Object-Scale Adaptive Optical Flow Estimation Network
A Multiscale Self-growing Probabilistic Decision-Based Neural Network for Segmentation of SAR Imagery
StyleDisentangle: Disentangled Image Editing Based on StyleGAN2
Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints
ANF: Attention-Based Noise Filtering Strategy for Unsupervised Few-Shot Classification
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part II
Automatic Design of Hierarchical RBF Networks for System Identification
On the Practicality of Viewpoint-Based Requirements Engineering
Ranking Entities Similar to an Entity for a Given Relationship
Timed Petri-Net(TPN) Based Scheduling Holon and Its Solution with a Hybrid PSO-GA Based Evolutionary Algorithm(HPGA)
An Ordered Preprocessing Scheme for Data Mining
Scene Text Recognition Based on Corner Point and Attention Mechanism
Steganography: An Improved Robust Model for Deep Hidden Network
Weighted Adaptive Perturbations Adversarial Training for Improving Robustness
MotionRFCN: Motion Segmentation Using Consecutive Dense Depth Maps
Explaining Subgroups through Ontologies
Mining Weighted Frequent Patterns in Incremental Databases
Manifold Alpha-Integration
A Multi-latent Semantics Representation Model for Mining Tourist Trajectory
Sequential Clustering for Real-World Datasets
A Fast and Robust Multi-color Object Detection Method with Application to Color Chart Detection
Texture Analysis and Classification Using Bottom-Up Tree-Structured Wavelet Transform
DeepRSD: A Deep Regression Method for Sequential Data
Multiple Resolution River flow Time Series Modelling using Machine Learning Methods
An Experiment in Using Golog to Build a Personal Banking Assistant
Features Fusion Framework for Multimodal Irregular Time-series Events
Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment
Model Theory for PRS-Like Agents: Modelling Belief Update and Action Attempts
Jointing Knowledge Graph and Neural Network for Top-N Recommendation
On Modelling Emotional Responses to Rhythm Features
Non-negative Sparse Principal Component Analysis for Multidimensional Constrained Optimization
Vision Based Acquisition of Mouth Actions for Human-Computer Interaction
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation
PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III
Applying An Improved Heuristic Based Optimiser to Solve a Set of Challenging University Timetabling Problems: An Experience Report
Context-Specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks
Learning Temporal and Spatial Embedding for Temporal Knowledge Graph Reasoning
Simple Light-Weight Network for Human Pose Estimation
BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees
A Novel MLLMs-Based Two-Stage Model for Zero-Shot Multimodal Sentiment Analysis
Towards Adapting XCS for Imbalance Problems
Towards Optimal Cooperative Path Planning in Hard Setups through Satisfiability Solving
Selecting Training Data for Unsupervised Domain Adaptation in Word Sense Disambiguation
On Designing a Reduced-Order Fuzzy Observer
Document-Level Relation Extraction Model Based on Boundary Distance Loss and Long-Tail Relation Enhancement
Psychological Effects Derived from Mimicry Voice Using Inarticulate Sounds
Exploring Combinations of Ontological Features and Keywords for Text Retrieval
Hidden Information General Game Playing with Deep Learning and Search
Establishing Connections in a Social Network - Radial Versus Medial Centrality Indices
A Client-Assisted Approach Based on User Collaboration for Indoor Positioning
Gene Selection Based on Supervised Vector Representation of Genes
An Adaptive Clustering Algorithm by Finding Density Peaks
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Exten: A System for Computing Default Logic Extensions
BOKS: A Rule-Based System in Support of the Dutch Building Materials Regulations
M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering
Zero-Shot Heterogeneous Graph Embedding via Semantic Extraction
Multi-label Crowdsourcing Learning with Incomplete Annotations
Social Collaborative Filtering Ensemble
An Approach with Low Redundancy to Network Feature Selection Based on Multiple Order Proximity
Case Generation Method for Constructing an RDR Knowledge Base
An Empirical Study of Data Smoothing Methods for Memory-Based and Hybrid Collaborative Filtering
Constructing Consumer-Oriented Medical Terminology from the Web A Supervised Classifier Ensemble Approach
Document-Level Named Entity Recognition with Q-Network
MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans
Deep Learning Method with Attention for Extreme Multi-label Text Classification
Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments
Dendritic Cell Algorithm with Group Particle Swarm Optimization for Input Signal Generation
Segmentation Strategies and Data Enrichment for Improved Abstractive Summarization of Burmese Language
Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization
Combining Views on Concepts in Unsupervised Concept Learning
Diagrammatic Reasoning About Linked Lists
Feature Selection for Clustering on High Dimensional Data
SalienceGraph: Visualizing Salience Dynamics of Written Discourse by Using Reference Probability and PLSA
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part V
Extracting User Interests from Graph Connections for Machine Learning in Location-Based Social Networks
Anomaly Detection over Spatiotemporal Object Using Adaptive Piecewise Model
A Selection Scheme for Excluding Defective Rules of Evolutionary Fuzzy Path Planning
CMNet: Cross-Aggregation Multi-branch Network for Salient Object Detection
CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network
Sequential Decision Making with "Sequential Information" in Deep Reinforcement Learning
Detecting and Learning Against Unknown Opponents for Automated Negotiations
Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior
Deep Feature Translation Network Guided by Combined Loss for Single Image Super-Resolution
Personalized Image Recommendation in the Mobile Internet
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space
An In-Label Prioritizing Variable Branching Strategy of SAT Solvers for a Preferred Extension of Argumentation Frameworks
Learning and Reasoning with Complex Representations, PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations, Cairns, Australia, August 26-30, 1996, Selected Papers
Research of Highway Vehicle Inspection Based on Improved YOLOv5
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism
Detecting Video Anomalous Events with an Enhanced Abnormality Score
Efficient Optimization of Inpainting Scheme and Line Scratch Detection for Old Film Restoration
Managing the Complexity of Large-Scale Agent-Based Social Diffusion Models with Different Network Topologies
Topical and Temporal Visualization Using Wavelets
Using Neural Nets to Investigate Lexical Access
The Minimum Description Length Based Decision Tree Pruning
Application of Annotation Smoothing for Subject-Independent Emotion Recognition Based on Electroencephalogram
GDL Meets ATL: A Logic for Game Description and Strategic Reasoning
CSDCNet: A Semantic Segmentation Network for Tubular Structures
Fast Training of a Graph Boosting for Large-Scale Text Classification
An Interactivity-Based Personalized Mutual Reinforcement Model for Microblog Topic Summarization
Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation
Multiple Kernel Fusion with HSIC Lasso
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
Model Combination for Support Vector Regression via Regularization Path
A Hybrid Kansei Design Expert System Using Artificial Intelligence
BDEL: A Backdoor Attack Defense Method Based on Ensemble Learning
Chinese Named Entity Recognition Based on Hierarchical Hybrid Model
A Concurrent Multiple Negotiation Mechanism Under Consideration of a Dynamic Negotiation Environment
Relative Change-Reluctance in Iterated Belief Revision