yusuke1997/dblp-id-title huggingface dataset:
Experimental Semiotics and Representation by Dialogue Systems
Finding Picture Edges through Collinearity of Feature Points
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
The Reason for the Benefits of Minimax Search
Cross-View Projective Dictionary Learning for Person Re-Identification
Searching for Optimal Subword Tokenization in Cross-domain NER
Lightweight Temporal Description Logics with Rigid Roles and Restricted TBoxes
A Generative Model for Recognizing Mixed Group Activities in Still Images
Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
Robust Weight Perturbation for Adversarial Training
A Labeling Approach to the Computation of Credulous Acceptance in Argumentation
Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning
Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems
Path Resolution with Link Deletion
Edge Partitioning in External-Memory Graph Search
Towards Class-Imbalance Aware Multi-Label Learning
Learning Binary Classification Rules for Sequential Data
Trend-Aware Tensor Factorization for Job Skill Demand Analysis
Jangter: A Novel Agent-Based Electronic Marketplace
Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots (Extended Abstract)
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
Computing Optimal Equilibria in Repeated Games with Restarts
Counterfactual Strategies for Markov Decision Processes
Human Activity Recognition in an Open World (Abstract Reprint)
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
Hierarchical Diffusion Attention Network
Retrospective Zooming: A Knowledge Based Tracking and Debugging Methodology for Logic Programming
Refining the Structure of a Stochastic Context-Free Grammar
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
Scene Segmentation By Velocity Measurements Obtained With A Cross-Shaped Template
Parameterized Complexity of Optimal Planning: A Detailed Map
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
What has AI in Common with Philosophy?
Epistemic GDL: A Logic for Representing and Reasoning about Imperfect Information Games
Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games
A Correlation Manifold Self-Attention Network for EEG Decoding
Blockedness in Propositional Logic: Are You Satisfied With Your Neighborhood?
Assistive Mobile Application for the Blind
A Neural Reinforcement Learning Approach to Learn Local Dispatching Policies in Production Scheduling
Efficiency Considerations on Built-in Taxonomic Reasoning in PROLOG
Proactive Algorithms for Scheduling with Probabilistic Durations
Combining Prediction, Syntactic Analysis and Semantic Analysis in Chinese Sentence Analysis
Representation and Reasoning about General Solid Rectangles
Model-Agnostic Adversarial Detection by Random Perturbations
Large-scale Online Kernel Learning with Random Feature Reparameterization
Two-Sided Wasserstein Procrustes Analysis
Learning Out-of-Vocabulary Words in Intelligent Personal Agents
Explanation Systems for Influence Maximization Algorithms
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
Instance-Level Label Propagation with Multi-Instance Learning
Guided Generation of Cause and Effect
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
QCDCL with Cube Learning or Pure Literal Elimination - What is Best?
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation
Graph Debiased Contrastive Learning with Joint Representation Clustering
Fast Planning Through Planning Graph Analysis
On the Relation Between Autoepistem ic Logic and Circumscription
Knowledge Preconditions for Actions and Plans
A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning
Multi-Perspective Modeling of the Air Camaign Planning Process
Parallel Pareto Optimization for Subset Selection
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Interactions Between Philosophy and Artificial Intelligence: The Role of Intuition and Non-Logical Reasoning in Intelligence
Overview of a Display-Oriented Editor for INTERLISP
Non-Order-Preserving Evaluation Functions: Recursive Graph-Search Methods for Job Sequencing Problems
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network
Class-Wise Supervised Hashing with Label Embedding and Active Bits
Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation
Correlation-Sensitive Next-Basket Recommendation
Partial Multi-Label Optimal Margin Distribution Machine
Which Contingent Events to Observe for the Dynamic Controllability of a Plan
Learning Tag Dependencies for Sequence Tagging
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking
Local Search for Minimum Weight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function (Extended Abstract)
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's disease (DPD) Co-Morbidity
Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives
An Analytical and Experimental Comparison of Maximal Lottery Schemes
A SAT-based Method for Counting All Singleton Attractors in Boolean Networks
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Multi-Objective Learning via Genetic Algorithms
Interfacing Virtual Agents with Collaborative Knowledge: Open Domain Question Answering Using Wikipedia-Based Topic Models
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets
Updates for Nonlinear Discriminants
Large Language Models for Causal Discovery: Current Landscape and Future Directions
A Survey on Computational Propaganda Detection
Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint
Obtaining Surface Orientation from Texels under Perspective Projection
A Characterization Theorem for a Modal Description Logic
Learning Small Decision Trees with Large Domain
MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud
A Practical Automata-Based Technique for Reasoning in Expressive Description Logics
An Iterative Sampling Procedure for Resource Constrained Project Scheduling with Time Windows
Neural User Response Generator: Fake News Detection with Collective User Intelligence
TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
Bottom-up Abduction by Model Generation
Channel-Level Variable Quantization Network for Deep Image Compression
Aggregating Incomplete Pairwise Preferences by Weight
A Game Theoretic Approach For Core Resilience
Dynamic Interactions between Goals and Beliefs
Joint-Perturbation Simultaneous Pseudo-Gradient
Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition
Consistent Inference for Dialogue Relation Extraction
Uncertainty-Aware Representation Learning for Action Segmentation
Graph Decomposition for Efficient Multi-Robot Path Planning
A Many-Sorted Calculus Based on Resolution and Paramodulation
Computers and Thought Lecture: The Ubiquity of Discovery
Decidable Reasoning in a Modified Situation Calculus
Density Corrected Sparse Recovery when R.I.P. Condition Is Broken
C3MM: Clique-Closure based Hyperlink Prediction
Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks
TextWorld: A Learning Environment for Text-Based Games
User-Based Opinion-based Recommendation
The Role of Video Generation in Enhancing Data-Limited Action Understanding
Dynamic Trajectory Planning Path-Velocity Decomposition and Adjacent Paths
Online Planning in POMDPs with Self-Improving Simulators
Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling
Online Community Detection for Large Complex Networks
A Logical Account of Relevance
A Simple Feature Selection Method for Text Classification
Knowledge-Based News Event Analysis and Forecasting Toolkit
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation
Theory Diagnoses: A Concise Characterization of Faulty Systems
Maintaining Predictions over Time without a Model
Organizational Issues Arising from the Integration of the Lexicon and Concept Network in a Text Understanding System
Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models
Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
Advocacy Learning: Learning through Competition and Class-Conditional Representations
When to Follow the Tip: Security Games with Strategic Informants
A Learning-Based Jam Session System that Imitates a Player's Personality Model
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
Epistemic Boolean Games Based on a Logic of Visibility and Control
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification
Designing a Personalised Case-Based Recommender System for Mobile Self-Management of Diabetes During Exercise
Structure Based Control Strategy
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
Conversion of Predicate-Calculus Axioms, Viewed as Non-Deterministic Programs, to Corresponding Deterministic Programs
Towards Robust Dynamic Network Embedding
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Robust Multilingual Named Entity Recognition with Shallow Semi-supervised Features (Extended Abstract)
Reinforcement Learning for Route Optimization with Robustness Guarantees
Control Complexity of Schulze Voting
Bilateral Multi-Perspective Matching for Natural Language Sentences
Adversarial Incomplete Multi-view Clustering
Incremental Decision Making Under Risk with the Weighted Expected Utility Model
A General Framework for Scheduling in a Stochastic Environment
Streamed Learning: One-Pass SVMs
On the Learnability of Possibilistic Theories
Pseudo-Supervised Training Improves Unsupervised Melody Segmentation
A WordNet-based Algorithm for Word Sense Disambiguation
Three Approaches for Mining Definitions from Relational Data in the Web of Data
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Revising by an Inconsistent Set of Formulas
Budget Feasible Mechanisms: A Survey
Competitive Analysis for Multi-Commodity Ski-Rental Problem
Forgetting Auxiliary Atoms in Forks (Extended Abstract)
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing
Age Estimation Using Expectation of Label Distribution Learning
The Competitive Effects of Variance-based Pricing
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
Conditional Causal Logic: A Formal Theory of the Meaning Generating Processes in a Cognitive System
EBEK: Exemplar-Based Kernel Preserving Embedding
Query Rewriting for DL-Lite with n-ary Concrete Domains
Abstraction for Deep Reinforcement Learning
Commit Message Generation for Source Code Changes
Social Learning through Interactions with Other Agents: A Survey
Multi-Winner Social Choice with Incomplete Preferences
Dominance and Optimisation Based on Scale-Invariant Maximum Margin Preference Learning
Knowledge-Grid Modelling for Academic Purposes
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
On Weak Stubborn Sets in Classical Planning
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
An Experience with Ontology Clustering for Information Integration
Determining Robot Egomotion from Motion Parallax Observed by an Active Camera
Problem Transformations and Algorithm Selection for CSPs
Winner Determination in Sequential Majority Voting
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
Steady-State Policy Synthesis in Multichain Markov Decision Processes
Integrating Semantic Relatedness and Words' Intrinsic Features for Keyword Extraction
Bin-Completion Algorithms for Multicontainer Packing and Covering Problems
Improving the Efficiency of Higher Order Unification
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning
Hierarchical Concepts Structure for Natural Language Understanding System
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract)
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation
Deep Forest: Towards An Alternative to Deep Neural Networks
Type-WA*: Using Exploration in Bounded Suboptimal Planning
Generative Visual Dialogue System via Weighted Likelihood Estimation
Query-Driven Repairing of Inconsistent DL-Lite Knowledge Bases
Domain Adaptation with Joint Loss for Consistent Regression and Ordinal Classification in the Proxy Means Test for Poverty Targeting
Intrinsic Image Decomposition by Pursuing Reflectance Image
OptIForest: Optimal Isolation Forest for Anomaly Detection
Supervised Set-to-Set Hashing in Visual Recognition
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves
Epistemic Logic of Likelihood and Belief
Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Building the Inference Component of an Historical Information Retrieval System
Genetic Algorithm based Selective Neural Network Ensemble
Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies
Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers
A Maximum Likelihood Approach towards Aggregating Partial Orders
Segmentation of Social Network Users in Turkey
The Orders of Magnitude Models as Qualitative Algebras
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph
A Model-Theoretic Approach to the Verification of Situated Reasoning Systems
A Nonparametric Valley-Seeking Technique for Cluster Analysis
Feedback as a Coindexing Mechanism in Connectionist Architectures
NUDGE, A Knowledge-Based Scheduling Program
Computing Text Semantic Relatedness Using the Contents and Links of a Hypertext Encyclopedia: Extended Abstract
Outline of a Naive Semantics for Reasoning with Qualitative Linguistic Information
Infobox-to-text Generation with Tree-like Planning based Attention Network
Semi-Supervised Learning for Imbalanced Sentiment Classification
Distributed Clustering Based on Sampling Local Density Estimates
Deep Partial Multi-Label Learning with Graph Disambiguation
A Semantic Network of Production Rules in a System for Describing Computer Structures
An Analysis of the Shapley Value and Its Uncertainty for the Voting Game
Learning to Coordinate Actions in Multi-Agent-Systems
Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
A Method for Evaluating and Standardizing Ontologies
Multi-level Graph Contrastive Prototypical Clustering
A Tableaux Decision Procedure for SHOIQ
Constitutive Rules for Agent Communication Languages
QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives
Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, FCA4AI@IJCAI 2019, Macao, China, August 10, 2019
Inductive Certificates of Unsolvability for Domain-Independent Planning
From Raw Sensor Data to Detailed Spatial Knowledge
Towards Gender Fairness for Mental Health Prediction
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Least Common Subsumers and Most Specific Concepts in a Description Logic with Existential Restrictions and Terminological Cycles
Multi Class Learning with Individual Sparsity
Translating HTNs to PDDL: A Small Amount of Domain Knowledge Can Go a Long Way
On Irrelevant Literals in Pseudo-Boolean Constraint Learning
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Bounded Suboptimal Search: A Direct Approach Using Inadmissible Estimates
Multi-Label Informed Feature Selection
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning
Exploiting Separability in Multiagent Planning with Continuous-State MDPs (Extended Abstract)
Disguise Adversarial Networks for Click-through Rate Prediction
Generating reward functions using IRL towards individualized cancer screening
FCA-Based Concept Detection in a RosettaNet PIP Ontology
Learning Concept Descriptions from Examples with Errors
A New Algorithm for Incremental Prime Implicate Generation
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations
Mining Spatial Object Associations for Scientific Data
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains
Using Multiple Information Sources in a Computational Vision System
Finite Entailment of UCRPQs over ALC Ontologies (Extended Abstract)
Object Matching for Information Integration: A Profiler-Based Approach
On Temporal Regulations and Commitment Protocols
A Privacy Preserving Algorithm for Multi-Agent Planning and Search
Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs
Active Exploration for Robust Object Detection
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data
Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning
A Market Clearing Solution for Social Lending
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds
Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information
Selection of Free Software Useful in Business Intelligence. Teaching Methodology Perspective
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
Dynamics of Coalition Formation in Combinatorial Trading
Choosing Collectively Optimal Sets of Alternatives Based on the Condorcet Criterion
Mirror Representation for Modeling View-Specific Transform in Person Re-Identification
Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
Logic Tensor Networks for Semantic Image Interpretation
Active Discriminative Network Representation Learning
Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval
Iterated Belief Revision, Revised
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
Analogy Generation with HowNet
Identifying and Reusing Learnwares Across Different Label Spaces
A Model of Events and Processes
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), Vienna, Austria, July 24-25, 2022
Deadlock-Free Parallel Processing
Towards Zero Unknown Word in Neural Machine Translation
Collaborative Web Search
A Unifying Framework for Probabilistic Belief Revision
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing
Automatic Case Analysis in Proof by Induction
Recognition Algorithms for the Connection Machine
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
Opinion-aware Knowledge Graph for Political Ideology Detection
Heuristic Subset Selection in Classical Planning
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation
Fairly Allocating Goods and (Terrible) Chores
Bootstrapping Entity Alignment with Knowledge Graph Embedding
On Coalitional Manipulation for Multiwinner Elections: Shortlisting
Exchanging Reputation Information between Communities: A Payment-Function Approach
Exploring Multilingual Intent Dynamics and Applications
SmartSpatial: Enhancing 3D Spatial Awareness in Stable Diffusion with a Novel Evaluation Framework
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
Compiling Prioritized Circumscription into Extended Logic Programs
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)
Heuristics for Cost-Optimal Classical Planning Based on Linear Programming
AI and Design
Advances in Ambient Intelligence [best papers from AITamI@IJCAI 2007, Hyderabad, India, January 2007]
Beyond PDP: The Frequency Modulation Neural Network Architecture
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Safe Reinforcement Learning via Probabilistic Logic Shields
Biological Instance Segmentation with a Superpixel-Guided Graph
Measuring a Priori Voting Power in Liquid Democracy
Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)
Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation
Inverse Problems for Gradual Semantics
Identifying the Scope of Modeling for Time-Critical Multiagent Decision- Making
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Sensitivity Analysis of Multilayer Perceptron
BDIOCTL: Obligations and the Specification of Agent Behavior
Reaction-First Search
How to Make Reproducible Research in Machine Unlearning with ERASURE