yusuke1997/dblp-id-title huggingface dataset:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
Decidable Reasoning in a Logic of Limited Belief with Introspection and Unknown Individuals
Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
CABOT: An Adaptive Approach to Case-Based Search
An Associative Memory for Auditory Recall
A Size-Based Qualitative Approach to the Representation of Spatial Granularity
Comparison Knowledge Translation for Generalizable Image Classification
Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation
Budget-feasible Mechanisms for Representing Groups of Agents Proportionally
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments
Bases via Minimal Generators
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis
Deep Reinforcement Learning with Hidden Layers on Future States
On the Role of Mathematical Language Concept in the Theory of Intelligent Systems
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
Diagnostic Reasoning in Software Fault Localization
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting
Building Data Integration Systems: A Mass Collaboration Approach
Lexicographic Multi-Objective Reinforcement Learning
Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis
Context Attentive Bandits: Contextual Bandit with Restricted Context
Scalable Bayesian Non-linear Matrix Completion
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
A Default Interpretation of Defeasible Network
Multi-Processor Rotation and Comparison of Objects
Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service
Spectrum-Based Fault Localisation for Multi-Agent Systems
Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery
Parsing Natural Language Conversations using Contextual Cues
Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning
Learning With Subquadratic Regularization : A Primal-Dual Approach
Reasoning over Argument-Incomplete AAFs in the Presence of Correlations
Trend Template: Mining Trends With a Semi-formal Trend Model
Towards Semantics- and Domain-Aware Adversarial Attacks
Exactly Solving Minimum Dominating Set and Its Generalization
An Automatic Theorem Prover Generating a Proof in Natural Language
Modeling Situation Awareness in Human-Like Agents Using Mental Models
Cluster-Based Selection of Statistical Answering Strategies
A Comparison of Time-Space Schemes for Graphical Models
A Logical Model of Nash Bargaining Solution
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information
A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces
Automated Synthesis of Mechanisms
Improve Video Representation with Temporal Adversarial Augmentation
Constrained Heuristic Search
Personalized Heart Disease Detection via ECG Digital Twin Generation
Opponent Modelling in Persuasion Dialogues
Learning Policies for Embodied Virtual Agents through Demonstration
Delete- and Ordering-Relaxation Heuristics for HTN Planning
Generating all Possible Palindromes from Ngram Corpora
The Use of Dynamically Extracted Context for Anaphoric Reference Resolution
Confirmations and Joint Action
Interactive Gender Inference with Integer Linear Programming
Front-to-Front Heuristic Search for Satisficing Classical Planning
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Induction of Concepts in the Predicate Calculus
Conflicting Tendencies in Pedestrian Wayfinding Decisions: a Multi-Agent Model Encompassing Proxemics and Imitation
A Subdivision Algorithm Configuration Space for Findpath With Rotation
Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract)
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation
Building and Exploiting Ontologies for an Automobile Project Memory
Skeptical Inheritance: Computing the Intersection of Credulous Extensions
Using the Representation in a Neural Network's Hidden Layer for Task-Specific Focus of Attention
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
Evaluating Matching Algorithms: the Monotonicity Principle
Scale-Space Filtering
HIEDS: A Generic and Efficient Approach to Hierarchical Dataset Summarization
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
Uncertainty Reduction Paradigm Using Structural Knowledge in Line-Drawing Understanding
Recognition of Handwritten Numerals Using a Decision Graph
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Towards Consumer-Empowering Artificial Intelligence
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
Discovering Interesting Navigations on a Web Site Using SAM I
Simultaneous measurement imputation and outcome prediction for Achilles tendon rupture rehabilitation
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Safety of Embodied Navigation: A Survey
Continual Computation Policies for Allocating Offline and Real-Time Resources
Toward Unsupervised Activity Discovery Using Multi-Dimensional Motif Detection in Time Series
Adversarial Examples in Physical World
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
Exploring Efficient and Effective Sequence Learning for Visual Object Tracking
Extracting Knowledge From Expert Systems
A Program For Geometrical Pattern Recognition Based On The Linguistic Method Of The Description And Analysis Of Geometrical Structures
Learning Graphical Game Models
Inverse Covariance Estimation with Structured Groups
RHINOS: A Consultation System for Diagnoses of Headache and Facial Pain
Physics-informed Spline Learning for Nonlinear Dynamics Discovery
Parliamentary Voting Procedures: Agenda Control, Manipulation, and Uncertainty
Determining Object Attitude from Extended Gaussian Images
Using Planning for Automated Testing of Video Games
Practical Model Reductions for Verification of Multi-Agent Systems
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models
Completeness-Preserving Dominance Techniques for Satisficing Planning
Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS
Property Persistence in the Situation Calculus
On Decision-Theoretic Foundations for Defaults
Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning
From Conversations to Stories: An Analysis of Differences Between Oral and Written Language Comprehension
Large-Scale Taxonomy Mapping for Restructuring and Integrating Wikipedia
Generative Adversarial Positive-Unlabelled Learning
Preferred Deals in General Environments
Optimized Crystallographic Graph Generation for Material Science
Multimodal Clustering with Evolutionary Algorithms
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media
Decision-Making in Time-Critical Situations
Surprise as Shortcut for Anticipation: Clustering Mental States in Reasoning
A Survey on Masked Autoencoder for Visual Self-supervised Learning
Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications
Scripts, Plans and Knowledge
Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules
Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts
Supervaluation Semantics for an Inland Water Feature Ontology
Contests to Incentivize a Target Group
A General Theory for Client Sampling in Federated Learning
Modelling Well-Structured Argumentation Lines
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition
Latent Semantics Encoding for Label Distribution Learning
A Case Study of EXPERT Formalism - An Approach to a Design of Medical Consultation System through EXPERT Formalism
On Guiding Search in HTN Planning with Classical Planning Heuristics
Rediscovering Physics with BACON.3
Fair Division with Two-Sided Preferences
Tuning a Knowledge Base of Refinement Rules To Create Good Circuit Designs
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search
Leveraging Argumentation for Generating Robust Sample-based Explanations
Computational Aspects of Progression for Temporal Equilibrium Logic
A Refined Upper Bound and Inprocessing for the Maximum K-plex Problem
JANE: Jointly Adversarial Network Embedding
Integrating Machine Learning and Optimization to Boost Decision Making
Application of Fuzzy Heuristic Techniques to Computer Network Design
Investigating the Relationship between Argumentation Semantics via Signatures
A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling
Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval
Learning restricted probabilistic link grammars
Audience-Based Uncertainty in Abstract Argument Games
Robust Quadratic Programming for Price Optimization
The Effects of Runtime Coordination Strategies Within Static Organizations
Grounding Topic Models with Knowledge Bases
Statistical Foundations for Default Reasoning
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs
Algorithms for Optimizing Leveled Commitment Contracts
A Parallel Processor Algorithm for Robot Route Planning
Noise Optimized Conditional Diffusion for Domain Adaptation
On the Complexity of Probabilistic Abstract Argumentation
System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming
Index Transformation Techniques for Facilitating Creative Use of Multiple Cases
Discourse Consistency and Many-Sorted Logic
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
A Hierarchical Architecture for Adaptive Brain-Computer Interfacing
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Automated Benchmark Model Generators for Model-Based Diagnostic Inference
Integration-Kid: A Learning Companion System
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator
White Matter Maturation and Hemispheric Asymmetry During Childhood Based on Chinese Population
Region Segmentation of Images by Expansion and Contraction of Edge Points
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
Visual Analogy in Problem Solving
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
Inductive Learning in Less Than One Sequential Data Scan
Learning Topical Translation Model for Microblog Hashtag Suggestion
A Factor Space Approach to Concept Representation
Robot Planning System Based on Problem Solvers
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Notes on Formalizing Context
Operation Frames and Clubs in Kidney Exchange
Artificial Intelligence for Successful Kflow
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Large Scale Online Kernel Classification
Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel
Ranked Voting on Social Networks
Learning (Complex) Structural Descriptions from Examples
Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery
The Base Selection Task in Analogical Planning
ASSIP-T: A Theorem-Proving Machine
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
Adversarial Behavior Exclusion for Safe Reinforcement Learning
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization
The Execution of Plans in an Independent Dynamic Microworld
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability
Proceedings of the First International Workshop on AI and Feedback, AInF 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 26, 2015
Using Relational Operators to Structure Long-Term Memory
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract)
Angluin-Style Learning of NFA
Compiling Integrity Checking into Update Procedures
An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors
Participatory Budgeting with Project Interactions
Consolution and its Relation with Resolution
Events Colocated with IJCAI-09
Analogy and Abduction in Automated Deduction
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation
Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation
TheaterLoc: A Case Study in Building An Information Integration System
On the Power and Limitations of Deception in Multi-Robot Adversarial Patrolling
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
A Framework for Distributed Sensing and Control
Best-First Utility-Guided Search
Analyzing Oriented Patterns
A Case-Based Approach to Knowledge Navigation
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
DP-Font: Chinese Calligraphy Font Generation Using Diffusion Model and Physical Information Neural Network
Spectral Feature Scaling Method for Supervised Dimensionality Reduction
Efficient Attributed Network Embedding via Recursive Randomized Hashing
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation
Temporal Graph ODEs for Irregularly-Sampled Time Series
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
MORRF*: Sampling-Based Multi-Objective Motion Planning
Text Rewriting Improves Semantic Role Labeling (Extended Abstract)
On Constrained Boolean Pareto Optimization
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth
A Quantitative Analysis of Multi-Winner Rules
Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees
Agent-based Modeling for Policy-Making in Inequity Contexts
Implicit Learning of Common Sense for Reasoning
WALKING WALKing walking: Action Recognition from Action Echoes
A Unified Model for Financial Event Classification, Detection and Summarization
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Corpus-based Schema Matching
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution
Eye-See-You: Reverse Pass-Through VR and Head Avatars
Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program
Fine-grained Generalization Analysis of Structured Output Prediction
Inverse Circumscription
A Global Constrained Optimization Method for Designing Road Networks with Small Diameters
Detecting and tracking ongoing topics in psychotherapeutic conversations
Structure in Dichotomous Preferences
Learning General Gaussian Mixture Model with Integral Cosine Similarity
Lower Bounds for Approximate Knowledge Compilation
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint
A Unified Analysis of Stochastic Momentum Methods for Deep Learning
Coalition Structure Generation in Multi-Agent Systems with Positive and Negative Externalities
Combining Qualitative and Quantitative Knowledge to Generate Models of Physical Systems
Prophet Inequalities for Bayesian Persuasion
Fast Preprocessing for Robust Face Sketch Synthesis
Improving Implicit Recommender Systems with View Data
Using Language and Context in the Analysis of Text
Local and Structural Consistency for Multi-Manifold Clustering
Knowledge Compilation Using Theory Prime Implicates
Exploring the Benefits of Teams in Multiagent Learning
Consistency Checking of Basic Cardinal Constraints over Connected Regions
On Minimum Representations of Matched Formulas (Extended Abstract)
Towards a Semantics for Concurrent METATEM
Enhancing Context Knowledge Repositories with Justifiable Exceptions (Extended Abstract)
A Cognitive Model of Figure Segregation
Towards Generalizable Reinforcement Learning for Trade Execution
Variability Extraction from Simulator I/O Data Schemata in Agriculture Decision-Support Software
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective
Ten Years of BabelNet: A Survey
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Reflective Verbal Reward Design for Pluralistic Alignment
Privacy and Autonomous Systems
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning
Acquiring Conceptual Relationships from Domain-Specific Texts
Line Labeling and Junction Labeling: A Coupled System for Image Interpretation
On Specificity in Default Logic
Adapting BERT for Target-Oriented Multimodal Sentiment Classification
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments
Non-Metric Label Propagation
"QUESTION-ANSWER" - A Multipurpose Information System
An Adaptive Computational Model for Personalized Persuasion
Fast SVM Trained by Divide-and-Conquer Anchors
Comprehensive Review of Neural Differential Equations for Time Series Analysis
Neural Re-ranking in Multi-stage Recommender Systems: A Review
PROPm Allocations of Indivisible Goods to Multiple Agents
Probabilistic Belief Contraction Using Argumentation
Logical Filtering
Protein Function Prediction by Integrating Multiple Kernels
Flexibility and Decoupling in the Simple Temporal Problem
Generic Adversarial Attack Framework Against Vertical Federated Learning
Deep Hierarchical Graph Alignment Kernels
Improving Efficiency by Learning Intermediate Concepts
Explaining preferences with argument positions
POPEL-HOW: A Distributed Parallel Model for Incremental Natural Language Production with Feedback
Coreference Aware Representation Learning for Neural Named Entity Recognition
High Dimensional Bayesian Optimization using Dropout
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
A Wikipedia Based Semantic Graph Model for Topic Tracking in Blogsphere
Directing And Re-Directing Inference Pursuit: Extra-Textual Influences on Text Interpretation
A Knowledge-Based Application Definition System
Towards Embodied StarCraft II Winner Prediction
Combining Models from Multiple Sources for RGB-D Scene Recognition
Efficient Path Consistency Algorithm for Large Qualitative Constraint Networks
Approximation Algorithms for Temporal Reasoning
TouIST: a Friendly Language for Propositional Logic and More
Imitation Learning via Focused Satisficing
Histogram of Oriented Displacements (HOD): Describing Trajectories of Human Joints for Action Recognition
A Logic for Acting, Sensing and Planning
Inducing Probabilistic Relational Rules from Probabilistic Examples
Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching
OptStream: Releasing Time Series Privately (Extended Abstract)
Learning with Labeled Sessions
Efficient and Complete FD-solving for extended array constraints
Reduced Heteroscedasticity Linear Regression for Nyström Approximation
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
Understanding Medical Jargon as If It Were a Natural Language
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
Benchmarking and deeper analysis of adversarial patch attack on object detectors
Generating Concise Discourse that Addresses a Users Inferences
Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search
Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams
Synthesis of Controllable Nash Equilibria in Quantitative Objective Game
Bimodal Depth-First Search for Scalable GAC for AllDifferent
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
Risk Guarantee Prediction in Networked-Loans
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components
Query Answering in Description Logics with Transitive Roles
Collaborative Filtering With Adaptive Information Sources (Short Paper)
SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction
Balanced Ranking with Diversity Constraints
Explorations with a Simulation Model of Short-Term Memory
Towards Efficient Consistency Enforcement for Global Constraints in Weighted Constraint Satisfaction
Locating Polyhedral Objects from Edge Point Data
Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks
Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation during Anomalous Plan Execution
LEAP: A Learning Apprentice for VLSI Design
A Novel Bayesian Similarity Measure for Recommender Systems
High-Fidelity Simulated Players for Interactive Narrative Planning
Design Adaptive AI for RTS Game by Learning Player's Build Order
Robust Image Ordinal Regression with Controllable Image Generation
In Defense of Logic
Motives and Emotions in a General Learning System
Analysis of Sampling Algorithms for Twitter
SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth
What You Seek Is What You Get: Extraction of Class Attributes from Query Logs
A Geometric Theory of Feature Selection and Distance-Based Measures
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
Strategic Voting with Incomplete Information
Learning Sparse Neural Networks for Better Generalization
Towards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States
AILA: A Question Answering System in the Legal Domain