yusuke1997/dblp-id-title huggingface dataset:
Finding Small Backdoors in SAT Instances
MAC: Multimodal Attentive Contrastive Learning Framework
Towards Causal Analysis of Protocol Violations
An Attribute Redundancy Measure for Clustering
Explainable Prompt-based Approaches for Sentiment Analysis of Movie Reviews
Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints
Efficient Algorithms for Qualitative Reasoning about Imprecise Space
Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
Applications of Feature Selection Techniques on Large Biomedical Datasets
Learning Bayesian Belief Network Classifiers: Algorithms and System
Bayesian Multiple Imputation Approaches for One-Class Classification
Intelligent Software Development Environments: Integrating Natural Language Processing with the Eclipse Platform
Advances in Artificial Intelligence - 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge
Sentiment Tagging of Adjectives at the Meaning Level
Using Machine Learning Algorithms to Predict the Effects of Substituents on Molecular Properties and Structures
Wavelet Network with OLS Optimization for Speech Signal Processing
Artificial Intelligence and Human Brain Imaging
On the Influence of Discourse Relations in Persuasive Texts
Relational Concepts and the Fourier Transform: An Empirical Study
Advances in Artificial Intelligence - 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8-11, 2018, Proceedings
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Annotation Concept Synthesis and Enrichment Analysis
Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition
Task Oriented Privacy (TOP) Technologies
Hierarchical Reinforcement Learning for Decision Support in Health Care
A Parallel Approach to Unified Cognitive Modeling of Language Processing within a Visual Context
Parsing Korean Honorification Phenomena in a Typed Feature Structure Grammar
On the Semantics of Actual Causality in Situation Calculus Concurrent Game Structures
Reference Constraints and Individual Level Inheritance
Control of Constraint Weights for a 2D Autonomous Camera
Noun Sense Disambiguation with WordNet for Software Design Retrieval
Sensitivity to Risk Profiles of Users When Developing AI Systems
An empirical study of scoring functions for learning Bayesian networks in model averaging
Word Prediction Evaluation Measures with Performance Benchmarking
Interpretability of polypharmacy deep-learning models
Detecting Statistically Significant Temporal Associations from Multiple Event Sequences
The QBF Cover encoding for Harary Tic-Tac-Toe's
Distributed Data Mining in a Ubiquitous Healthcare Framework
A Novel Approach for Automatic Palmprint Recognition
A Unified Action Language Framework
Adaptive Confidence Calibration
Quantitatively Evaluating Formula-Variable Relevance by Forgetting
Task Oriented Privacy Preserving Data Publishing Using Feature Selection
Logo Recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning
Computer (and Human) Perfection at Checkers
Similarity Matching of Temporal Event-Interval Sequences
Empirical Confidence Models for Supervised Machine Learning
Personalized Multi-Faceted Trust Modeling in Social Networks
Queuing Local Solutions in Distributed Constraint Satisfaction Systems
Comparing Traditional and Deep Learning Approaches for Product Matching: Performance on Unseen Entities
Detecting and Categorizing Indices in Lecture Video Using Supervised Machine Learning
Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning
Position and Attitude Trajectory Tracking Control for Advanced Aerial Manipulators Manipulating a Priori Unknown Objects
Generating Malicious Demonstration Policies to Exploit Vulnerabilities in Inverse Reinforcement Learning
Heuristic Search Applied to Abstract Combat Games
Detecting Deception in Intelligent Systems I: Activation of Deception Detection Tactics
An Automatic Evaluation Framework for Improving a Configurable Text Summarizer
Instruction Tuning of LLMs for Multi-label Emotion Classification in Social Media Content
Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics
Combining Evidence in Cognate Identification
Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification
Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings
Selecting Genotyping Oligo Probes Via Logical Analysis of Data
BankGAN: A Generative Model for Synthetic Financial Transactions
Semi-supervised Probability Propagation on Instance-Attribute Graphs
Genetic Algorithm-Induced Optimal Blackjack Strategies in Noisy Settings
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
Exploiting the Probability of Observation for Efficient Bayesian Network Inference
Discovering and Evaluating Politeness Editing Strategies
Financial Market Prediction using Contrastive Learning-based News Representation and Multi-Resolution Market Data
Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks
Unsupervised Extraction of Appraisal Expressions
Reasoning with Conditional Preferences Across Attributes
Towards Backstepping Control of a Quadrotor Uncrewed Aerial Vehicle on SE(3)
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines
A Cost Skew Aware Predictive System for Chest Drain Management
A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization
Advances in Artificial Intelligence, 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005, Proceedings
ARES 2: A Tool for Evaluating Cooperative and Competitive Multi-agent Systems
Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction
Coordination of Subject Markers in Arabic and Typed Categorial Logic
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques
Using Cognitive Computing to Get Insights on Personality Traits from Twitter Messages
Rethinking Language Models Within the Framework of Dynamic Bayesian Networks
A Novel Dataset for Real-Life Evaluation of Facial Expression Recognition Methodologies
On the Role of Contextual Weak Independence in Probabilistic Inference
Comparing Dimension Reduction Techniques for Document Clustering
Adaptive Negotiation for Agent Based Distributed Manufacturing Scheduling
A Logic of Inductive Implication or Artificial Intelligence Meets Philosophy of Science II
Qualitative Descriptors and Action Perception
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
Advice-Based Exploration in Model-Based Reinforcement Learning
Strings Clustering and Statistical Validation of Clusters
A Simple and Interpretable Predictive Model for Healthcare
An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem
The K-Modes Method under Possibilistic Framework
Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes
Robust Reinforcement Learning for Linear Temporal Logic Specifications with Finite Trajectory Duration
Decision Tree Learning Systems with Switching Evaluators
Experts and Machines against Bullies: A Hybrid Approach to Detect Cyberbullies
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Extending the Role of user Feedback in Plan Recognition and Response Generation for Advice-Giving Systems: An Initial Report
Policy Conflict Resolution in IoT via Planning
Transposition Table Driven Work Scheduling in Distributed Game-Tree Search
Mining Incremental Association Rules with Generalized FP-Tree
A Learning Method for Developing PROAFTN Classifiers and a Comparative Study with Decision Trees
Point-Based Planning for Predictive State Representations
Gene Reduction for Cancer Classification Using Cascaded Neural Network with Gene Masking
Towards a Definition of Primary Cause in Hybrid Dynamic Domains
Complete Axiomatization and Complexity of Coalition Logic of Temporal Knowledge for Multi-agent Systems
On Converting Sum-Product Networks into Bayesian Networks
Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy
On Sketch Based Anonymization That Satisfies Differential Privacy Model
A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm
Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum
Adaptive Representation Methods for Reinforcement Learning
Revising TimeGraph-II
A Novel Approach for Recommending Ranked User-Generated Reviews
From Explicit to Implicit Entity Linking: A Learn to Rank Framework
Detecting Depression from Voice
cbCPT: Knowledge Engineering Support for CPTs in Bayesian Networks
Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings
Hierarchical Approach to Emotion Recognition and Classification in Texts
Extracting Information-Rich Part of Texts Using Text Denoising
Reasoning with Multi-Point Events
A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain
Big Players: Emotion in Twitter Communities Tweeting About Global Warming
Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Guided Learning of Human Sensor Models with Low-Level Grounding
Negotiating Exchanges of Private Information for Web Service Eligibility
Decision Tree Learning Using a Bayesian Approach at Each Node
Incremental Cluster Updating Using Gaussian Mixture Model
Discrete-Survival Compatibility Score for Donor-Recipient Matching in Liver Transplantation
AI in Web Advertising: Picking the Right Ad Ten Thousand Times a Second
Applying Least Angle Regression to ELM
A Holonic Multi-agent Infrastructure for Electronic Procurement
Artificial intelligence, human oversight, and public policies: facial recognition systems in Brazilian cities
Collaborative Filtering with Users' Qualitative and Conditional Preferences
Modeling and Inference with Relational Dynamic Bayesian Networks
Using Communicative Acts to Plan the Cinematographic Structure of Animations
Combining Textual Pre-game Reports and Statistical Data for Predicting Success in the National Hockey League
A Connection Calculus for the Description Logic ALC
Reducing Position-Sensitive Subset Ranking to Classification
Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning
Learning Dialogue POMDP Models from Data
Product Matching Lessons and Recommendations from a Real World Application
Knowledge-Rich Contexts Discovery
NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks
Automatic Extraction of Lexical Relations from Analytical Definitions Using a Constraint Grammar
Domain Adaptation for Detecting Mild Cognitive Impairment
A Three-Way Decision Approach to Email Spam Filtering
Summarizing Web Sites Automatically
Liquid Ensemble Selection for Continual Learning
Recognizing Biomedical Named Entities in Chinese Research Abstracts
Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation
Reasoning About Operations on Sets
Advances in Artificial Intelligence, 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, Proceedings
GCE: Confidence Calibration Error for Improved Trustworthiness of Graph Neural Networks
Detecting Malicious .NET Files Using CLR Header Features and Machine Learning
Radar de Parité: An NLP system to measure gender representation in French news stories
Neural Network Architectures and Feature Extraction for Lumber Production Prediction
Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings
Toward a Computational Model for Collective Emotion Regulation Based on Emotion Contagion Phenomenon
N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks
VecHGrad for Solving Accurately Tensor Decomposition
A Minimalist Swarm Robotic Controller for Foraging
Eye-focused Detection of Bell's Palsy in Videos
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem
On Tree Structures Used by Simple Propagation
Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams
Personalized Student Attribute Inference
Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations
Grounding Formulas with Complex Terms
On the Use of Possibilistic Bases for Local Computations in Product-Based Possibilistic Networks
Adaptive Clustering Algorithms
Time-Dependent Smart Data Pricing Based on Machine Learning
A Reputation Model Framework for Artificial Societies: A Case Study in Child Vehicle Safety Simulation
A Procedural Planning System for Goal Oriented Agents in Games
A Multiagent System to Solve JSSP Using a Multi-Population Cultural Algorithm
Progressively Growing Generative Adversarial Network Based Auto-encoder for MRI Image Inpainting
Privacy-aware Wrappers
Considerations on Compositional Update Operators
Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems
Knowledge Discovery in Graphs Through Vertex Separation
A Deep Neural Network for Counting Vessels in Sonar Signals
Continual Prediction Learning Techniques to Support Users' Grasp Selection on a Multi-Articulating Prosthetic Hand
Mining Top-K Association Rules
Parallelizing a Convergent Approximate Inference Method
Feature Combination for Sentence Similarity
Evaluating a Smart Recommender for an Evolving E-learning System: A Simulation-Based Study
A Statistical Corpus-Based Term Extractor
Answer Set Programming for Stream Reasoning
A Polynomial-Time Predicate-Logic Hypothetical Reasoning by Networked Bubble Propagation Method
Don't Worry Accountants, ChatGPT Won't Be Taking Your Job...Yet
Better Bridges Between Model and Real World
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
Automatic Generation of a Complex Dialogue History
GPU Job Scheduler with Deep Reinforcement Learning
A Markov Model for Inventory Level Optimization in Supply-Chain Management
Advances in Artificial Intelligence, 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI '98, Vancouver, BC, Canada, June 18-20, 1998, Proceedings
Patient representation learning from EHR data
Accelerated Backpropagation Learning: Extended Dynamic Parallel Tangent Optimization Algorithm
Darwinian Networks
Visual Perception Similarities to Improve the Quality of User Cold Start Recommendations
Analysis and Classification of Strategies in Electronic Negotiations
Quantitative Aspects of Behaviour Network Verification
Question Answering Summarization of Multiple Biomedical Documents
Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy
A Supervised Method of Feature Weighting for Measuring Semantic Relatedness
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach
COSINE: A Vertical Group Difference Approach to Contrast Set Mining
Local Decision Bagging of Binary Neural Classifiers
Reasoning about Movement in Two-Dimensions
Tracking agitation in people living with dementia in a care environment
Some Simplified Forms of Reasoning with Distance-Based Entailments
A Multiagent Framework for Understanding Addiction
Anomaly Detection via Coupled Gaussian Kernels
Agent-Based Online Trading System
Looking the Part: The AI Zombie Problem and the Anti-Turing Test
Multi-attribute Decision Making in a Complex Multiagent Environment Using Reinforcement Learning with Selective Perception
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models
ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems
Utility Theory-Based User Models for Intelligent Interface Agents
Toward a Model of Associative Memory via Predictive Coding
Machine Learning Methods for Computational Proteomics and Beyond
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs
A Sparse Probabilistic Model of User Preference Data
Distributed Data Mining vs. Sampling Techniques: A Comparison
Incorporating Evidence in Bayesian Networks with the Select Operator
Distributed Collaborative Filtering for Robust Recommendations Against Shilling Attacks
Time-Sensitive Sampling for Spam Filtering
Safe Policy Learning with Constrained Return Variance
Ethical Requirements for AI Systems
Named Entity Recognition on Software Requirements Specification Documents
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations
Inferring User Profiles in Online Social Networks Using a Partial Social Graph
Optimized Random Walk with Restart for Recommendation Systems
Managing Concurrent Negotiations in Multi-agent Systems
Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports
Improving Classification Using Topic Correlation and Expectation Propagation
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification
Learning to Recognize Reachable States from Visual Domains
Surviving in a Hostile Multi-agent Environment: How Simple Affective States Can Aid in the Competition for Resources
Revisiting the Epistemics of Protocol Correctness
Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples
A Comparison of Sentiment Analysis Techniques: Polarizing Movie Blogs
The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data
Exploiting Frame Information for Prepositional Phrase Semantic Role Labeling
Layerwise Interweaving Convolutional LSTM
A New Attempt to Silhouette-Based Gait Recognition for Human Identification
Performance Evaluation of Agent Toolkits
Probabilistic Reasoning for Meal Planning in Intelligent Fridges
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Dynamic Reasoning for Description Logic Terminologies
Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks
Performance Evaluation of an Agent Based Distributed Data Mining System
Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach
Offline Recognition of Handwritten Numeral Characters with Polynomial Neural Networks Using Topological Features
An Empirical Study of Encodings for Group MaxSAT
A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions
Classification of Rare Recipes Requires Linguistic Features as Special Ingredients
On Pre-training and Self-training
A Hybrid Schema for Systematic Local Search
Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm
Feature Selection Strategies for Text Categorization
Motion Recognition from Video Sequences
Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification
Preliminary Study of Attention Control Modeling in Complex Skill Training Environments
A Hoeffding Decision Tree Based Approach for Soil Classification
A Strategic Reputation-Based Mechanism for Mobile Ad Hoc Networks
SoftSkillQG: Robust Skill-Targeted Reading Comprehension Question Generation Using Soft-prompts
Trajectory Generation with Player Modeling
Using Dependence Diagrams to Summarize Decision Rule Sets
On Selection Strategies for the DPLL Algorithm
On Customizing Evolutionary Learning of Agent Behavior
C++ Source Code Verification Pipeline
Detecting Flashover in a Room Fire based on the Sequence of Thermal Infrared Images using Convolutional Neural Networks
Learning Naive Bayes for Probability Estimation by Feature Selection
Biometric Authentication by Keystroke Dynamics for Remote Evaluation with One-Class Classification
Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition
ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity
Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets
Evaluating Explanation Correctness in Legal Decision Making
Unsupervised Financial Fraud Detection Using Low-rank Recovery
Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems
Deep Reinforcement Learning Algorithms for Financial Decision-Making
The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm
Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism
Comparing Distributional and Mirror Translation Similarities for Extracting Synonyms
Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings
Dynamic Budget-Constrained Pricing in the Cloud
Estimating Vineyard Grape Yield from Images
Modelling an Academic Curriculum Plan as a Mixed-Initiative Constraint Satisfaction Problem
Learning English Syllabification Rules
Active Learning with Automatic Soft Labeling for Induction of Decision Trees
Upward Pass Semantics in Arithmetic Circuit Inference
Quality Control in the Concept Learning Process
Early Detection of Alzheimer's Disease Using Deep Learning
Simulating Naming Latency Effects
A Modularized Framework for Explaining Black Box Classifiers for Text Data
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits
MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku
Predicting Optimal Constraint Satisfaction Methods
Lexical Data Augmentation for Text Classification in Deep Learning
An Algorithm for Anaphora Resolution in Aviation Safety Reports
Classifying Biomedical Abstracts Using Committees of Classifiers and Collective Ranking Techniques
Living with Constraints
A Knowledge Acquisition System for Price Change Rules
Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture
An Ensemble Method Based on AdaBoost and Meta-Learning
An Explainable Deep Few-shot Network for Protein Family Classification
Comparison of Semantic Similarity for Different Languages Using the Google n-gram Corpus and Second-Order Co-occurrence Measures
Construction of a Non-redundant Cover for Conditional Independencies
Inductive Improvement of Part-of-Speech Tagging and Its Effect on a Terminology of Molecular Biology
Pre-negotiations over Services - A Framework for Evaluation
Selecting the Next Action with Constraints
Belief Change and Non-deterministic Actions
Probabilistic TCP-net
Interpreting time series forecasting models using model class reliance
Recycling the Cycle of Perception: A Polemic