yusuke1997/dblp-id-title huggingface dataset:
A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes
A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks
A Stochastic Point-Based Algorithm for POMDPs
Advances in Artificial Intelligence, 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings
A Deeper Look at Bongard Problems
Clue as a Testbed for Automated Theorem Proving
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning
Grid-Based Path-Finding
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes
Constraint Directed Dynamic Backtracking
Learning Physical Properties of Objects Using Gaussian Mixture Models
Shape-Based Analysis for Automatic Segmentation of Arabic Handwritten Text
Constructing a User Preference Ontology for Anti-spam Mail Systems
Matrix Models with Feature Enrichment for Relation Extraction
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
Text Similarity Using Google Tri-grams
Balancing Information with Observation Costs in Deep Reinforcement Learning
Subspace Mapping of Noisy Text Documents
Deep Convolutional Neural Network for Molecular EnergyPrediction
Knowledge Distribution in Large Organizations Using Defeasible Logic Programming
Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis
Exploring Case-Based Bayesian Networks and Bayesian Multi-nets for Classification
Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing
A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks
SWAMI: Searching the Web Using Agents with Mobility and Intelligence
Poetry Chronological Classification: Hafez
Compression of General Bayesian Net CPTs
Computational Models of Linguistic Alignment for Clustering Group Participants and Predicting Task Outcomes
The Invisible Power of Fairness. How Machine Learning Shapes Democracy
The Iterative Multi-agent Method for Solving Complex Search Problems
Discovering Temporal/Causal Rules: A Comparison of Methods
Reasoning about Unknown, Counterfactual, and Nondeterministic Actions in First-Order Logic
Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study
A Chart Generator for Shake and Bake Machine Translation
Monadic Memoization towards Correctness-Preserving Reduction of Search
Knowledge Provenance
Modeling Role-Based Agent Team
Trace Equivalence Characterization Through Reinforcement Learning
Learning Disease Patterns from High-Throughput Genomic Profiles: Why Is It So Challenging?
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels
Classification Based on Logical Concept Analysis
A Learning Algorithm for Buying and Selling Agents in Electronic Marketplaces
Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach
Naïve Bayes with Higher Order Attributes
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
Large Language Models are Incoherent Storytellers
Learning Career Progression by Mining Social Media Profiles
Search Techniques for Non-linear Constraint Satisfaction Problems with Inequalities
LPMEME: A Statistical Method for Inductive Logic Programming
The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5
Population-Based Risk Prediction Models to Predict and Prevent Premature Mortality in Canadian Cities
Answer Formulation for Question-Answering
Situation Event Logic for Early Validation of Multi-Agent Systems
Active Learning with Clustering and Unsupervised Feature Learning
Constraint Satisfaction Methods for Information Personalization
Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning
A Multi-site Subcellular Localizer for Fungal Proteins
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection
Same File Prediction: A New Pretraining Objective for BERT-like Transformers
A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine
A Semantic Model for Social Recommender Systems
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints
Scheduling Methods for Parallel Automated Theorem Proving
Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources
Fuzzy C-Means Clustering of Web Users for Educational Sites
Exploiting Dynamic Independence in a Static Conditioning Graph
Partial Label Learning by Entropy Minimization
Dynamic Obstacle Representations for Robot and Virtual Agent Navigation
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
38th Canadian Conference on Artificial Intelligence, Canadian AI 2025, Calgary, AB, Canada, May 26-29, 2025, Proceedings
How Robust Are Higher-Order Graph Neural Networks to Backdoor Attacks?
Relaxed Unification - Proposal
Winner Determination Based on Preference Elicitation Methods
Software Agents in CVW
Exploring Deep Anomaly Detection Methods Based on Capsule Net
A Genetic and Social Computational Model for the Emergence of Skill-Based Agent Specialization
Quick Spatial Outliers Detecting with Random Sampling
Storage Reduction for the Vehicular IoT Data with Transformer-based Autoencoders
On Assessing the Sentiment of General Tweets
Searching for Macro Operators with Automatically Generated Heuristics
Analysis of Canadian Wildfire Tweets Over Seven Years
Probabilistic Inference Trees for Classification and Ranking
Image Morphing: Transfer Learning between Tasks That Have Multiple Outputs
BioScan-CLIP: Contrastive Learning for Aligning Biological Images and DNA Sequences
Advances in Artificial Intelligence, 15th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2002, Calgary, Canada, May 27-29, 2002, Proceedings
Semi-supervised Self-training for Sentence Subjectivity Classification
Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations
Hybrid Temporal Situation Calculus
MultiStream EvolveCluster
Selective Sampling for Classification
Towards a Temporal Extension of Formal Concept Analysis
Intra-Layer Recurrence in Transformers for Language Modeling
Session Boundary Detection for Association Rule Learning Using n-Gram Language Models
Budget-Driven Big Data Classification
Automatic Polyp Segmentation Using Convolutional Neural Networks
Applying Latent Semantic Analysis to Tag-Based Community Recommendations
Advances in Artificial Intelligence, 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI '96, Toronto, Ontario, Canada, May 21-24, 1996, Proceedings
Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour
A Quick Look at Methods for Mining Long Subsequences
A New Inference Axiom for Probabilistic Conditional Independence
Fully End-To-End Super-Resolved Bone Age Estimation
Automatic Parameter Settings for the PROAFTN Classifier Using Hybrid Particle Swarm Optimization
Stoic Ethics for Artificial Agents
Toward a Gold Standard for Extractive Text Summarization
Multiagent-Based Dynamic Deployment Planning in RTLS-Enabled Automotive Shipment Yard
f: Phrase Relatedness Function Using Overlapping Bi-gram Context
A Belief-Theoretic Reputation Estimation Model for Multi-context Communities
Quantifying French Document Complexity
Comparative Study of Neural Network Controllers for Nonlinear Dynamic Systems
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
Complexity Analysis of Green Pickup-and-Delivery Problems on Ring Structures
Methods for Mining Frequent Sequential Patterns
The Reconstruction of the Interleaved Sessions from a Server Log
Network Analysis and Vessel Flow Prediction for Risk Assessment of Biological Invasion of Non-indigenous Aquatic Species
Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction
Average Case Self-Duality of Monotone Boolean Functions
Using Unsupervised Learning for Network Alert Correlation
Generalized Voting Model To Measure Popularity Of Matchings
Identification and Classification of Alcohol-Related Violence in Nova Scotia Using Machine Learning Paradigms
Selection Driven Query Focused Abstractive Document Summarization
Unsupervised Multi-modal Learning
Analyzing Productivity Shifts in Meetings
Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter
36th Canadian Conference on Artificial Intelligence, Canadian AI 2023, Montreal, Canada, June 5-9, 2023, Proceedings
GUILGET: GUI Layout GEneration with Transformer
Learning Naïve Bayes Tree for Conditional Probability Estimation
Model-Based Least-Squares Policy Evaluation
A Profit-Based Business Model for Evaluating Rule Interestingness
A Three-Level Cognitive Architecture for the Simulation of Human Behaviour
Improving Active Learning for One-Class Classification Using Dimensionality Reduction
3D Gaussian Splatting and Camera Poses Joint Optimization for Motion Blur Images via Low-pass Filter
A Case Study for Learning from Imbalanced Data Sets
Learning First-Order Bayesian Networks
A BERT-based transfer learning approach to text classification on software requirements specifications
A Constraint Directed Model for Partial Constraint Satisfaction Problems
Options in Multi-task Reinforcement Learning - Transfer via Reflection
Towards a Tunable Framework for Recommendation Systems Based on Pairwise Preference Mining Algorithms
CViz: An Interactive Visualization System for Rule Induction
On Obligations, Relativised Obligations, and Bilateral Commitments
Retrieval of Short Documents from Discussion Forums
Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Multi-agent System Architecture for Tracking Moving Objects
Finding Topics in Email Using Formal Concept Analysis and Fuzzy Membership Functions
Automated Discovery: A Fusion of Multidisciplinary Principles
DIAGAL: A Tool for Analyzing and Modelling Commitment-Based Dialogues between Agents
A Fundamental Issue of Naive Bayes
Fuzzy Clustering for Topic Analysis and Summarization of Document Collections
Boundary Set Based Existence Recognition and Construction of Hypertree Agent Organization
Normal Distribution Re-Weighting for Personalized Web Search
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
An Incremental Machine Learning Algorithm for Nuclear Forensics
Visual Predictions of Traffic Conditions
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Supervised Machine Learning for Summarizing Legal Documents
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Reasoning about Interaction for Hospital Decision Making
Curriculum Learning for Motor Skills
Machine Translation on a Parallel Code-Switched Corpus
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques
Using Non Boolean Similarity Functions for Frequent Similar Pattern Mining
Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks
A Heuristic Incremental Modeling Approach to Course Timetabling
Humans Don't Get Fooled: Does Predictive Coding Defend Against Adversarial Attack?
Advances in Artificial Intelligence, 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, Montréal, Quebec, Canada, May 14-17, 2000, Proceedings
Semi-Supervised Time Point Clustering for Multivariate Time Series
ICS: An Interactive Classification System
Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings
Using Ensemble of Bayesian Classifying Algorithms for Medical Systematic Reviews
RideSafe: Detecting Sexual Harassment in Rideshares
A Document Browsing Tool: Using Lexical Classes to Convey Information
Efficient Pairwise Classification Using Local Cross Off Strategy
A Strategy for Improved Satisfaction of Selling Software Agents in E-Commerce
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
The Importance of Fine-Grained Cue Phrases in Scientific Citations
Case Authoring from Text and Historical Experiences
Towards a Novel Data Representation for Classifying Acoustic Signals
Deep Hedging with Market Impact
Planning for a Mobile Robot to Attend a Conference
Textual and Graphical Presentation of Environmental Information
Matching Résumés to Job Descriptions with Stacked Models
Evaluation of Rare Event Detection
Discrete-Event Systems for Modelling Decision-Making in Human Motor Control
Query-Less Retrieval of Interesting Postings in a WebForum
SAT for Upward Book Embedding: An Empirical Study
Local Score Computation in Learning Belief Networks
CanAL: a Canadian Appeal Law Legal Language Model for Legal Judgment Prediction
Predicting User Preferences Via Similarity-Based Clustering
Base Station Controlled Intelligent Clustering Routing in Wireless Sensor Networks
Deep learning prediction of bacterial genetic engineering using a hybrid CNN-transformer approach
Pazesh: A Graph-Based Approach to Increase Readability of Automatic Text Summaries
Mathematically Clinching a Playoff Spot in the NHL and the Effect of Scoring Systems
Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction
Predicting Commentaries on a Financial Report with Recurrent Neural Networks
Name2Vec: Personal Names Embeddings
A Decision-Theoretic Algorithm for Bundle Purchasing in Multiple Open Ascending-Price Auctions
A working model for textual Membership Query Synthesis
A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems
Using Natural Language Processing to Assist the Visually Handicapped in Writing Compositions
Predicate Invention from a Few Examples
Amalgamated Models for Detecting Duplicate Bug Reports
The Virtual Driving Instructor Creating Awareness in a Multiagent System
Collocation Discovery for Optimal Bilingual Lexicon Development
Inconsistency versus Accuracy of Heuristics
Enhancing Pretrained Models with Domain Knowledge
CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities
Balancing Robotic Teleoperation and Autonomy for Urban Search and Rescue Environments
Position Encoding Schemes for Linear Aggregation of Word Sequences
Descriptive Image Captioning with Salient Retrieval Priors
Beyond the Bag of Words: A Text Representation for Sentence Selection
A Model for Reasoning about Interaction with Users in Dynamic, Time Critical Environments for the Application of Hospital Decision Making
InDeSTra - system for interior design style transfer
Predicting Good Propagation Methods for Constraint Satisfaction
From Control to Flourishing: Responsible Generative AI and the Limits of Meaningful Human Control
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment
Probability Based Metrics for Locally Weighted Naive Bayes
Personality Extraction Through LinkedIn
Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network
Learning about Constraints by Reflection
Driving Scene Understanding: How much temporal context and spatial resolution is necessary?
Automatic Semantic Web Annotation of Named Entities
Representational Transfer in Deep Belief Networks
Constraint-Based Vehicle Assembly Line Sequencing
EASTER: Simplifying Text Recognition using only 1D Convolutions
Vehicle Traffic Estimation Using Weather and Calendar Data
Learning with Prior Domain Knowledge and Insufficient Annotated Data
Temporal Feature Selection for Noisy Speech Recognition
An Empirical Study of Category Skew on Feature Selection for Text Categorization
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers
Word Reordering Approaches for Bangla-English Statistical Machine Translation
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Planning and Learning in a Natural Resource Information System
Mining the Hidden Structure of Inductive Learning Data Sets
Predicting Aggressive Responsive Behaviour Among People with Dementia
A Survey on Statistical Relational Learning
Towards Inference in Arithmetic Circuits by Exploiting Barren Variables
Text Compression by Syntactic Pruning
Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation
Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
Understanding "Not-Understood": Towards an Ontology of Error Conditions for Agent Communication
A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons
Contextual Query Expansion for Conducting Technology-Assisted Biomedical Reviews
FASTT: Team Formation Using Fair Division
A Clustering Density-Based Sample Reduction Method
Memory-Efficient Backpropagation for Recurrent Neural Networks
A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery
Cascading Customized Naïve Bayes Couple
Consolidation Using Context-Sensitive Multiple Task Learning
Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search
Automatic Text Segmentation for Movie Subtitles
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks
Parameter Estimation of One-Class SVM on Imbalance Text Classification
Adversarial Models for Deterministic Finite Automata
Stacked Bidirectional LSTM for Predicting Emission of Nitrous Oxide
Path Propagation for Inference in Bayesian Networks
Efficient Sequence Labeling with Actor-Critic Training
Improving Patient-Clinical Trial Matching Using Convolution Neural Networks
Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks
Hierarchical Expert Recommendation on Community Question Answering Platforms
Voice Cloning Applied to Voice Disorders: a Study of Extreme Phonetic Content in Speaker Embeddings
Construction of Privacy Preserving Hypertree Agent Organization as Distributed Maximum Spanning Tree
Are Bees Better than Fruitflies?
QUANTUM: A Function-Based Question Answering System
The Use of Ontologies and Meta-knowledge to Facilitate the Sharing of Knowledge in a Multi-agent Personal Communication System
Multi-attribute Exchange Market: Theory and Experiments
Towards Analyzing the Sentiments in the Fields of Automobiles and Real-Estates with Specific Focus on Arabic Online Reviews
User Models: Customizing E-Commerce Websites to the Context of Use
Learning Coordination in RoboCupRescue
Deep Super Learner: A Deep Ensemble for Classification Problems
Producing Headline Summaries for Newspaper Articles
Discriminative vs. Generative Classifiers for Cost Sensitive Learning
Improvements to AdaBoost Dynamic
Fishing Activity Detection from AIS Data Using Autoencoders
Automatically Expanding the Lexicon of Roget's Thesaurus
A Novel Content Based Methodology for a Large Scale Multimodal Biometric System
The Bottom-Up Freezing: An Approach to Neural Engineering
A Formal Theory for Describing Action Concepts in Terminological Knowledge Bases
The K-Closest Resemblance Classifier for Remote Sensing Data
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection
Generating Accurate Virtual Examples for Lifelong Machine Learning
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
Topology-Driven Solver Selection for Stochastic Shortest Path MDPs via Explainable Machine Learning
DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection
Semantic Management of Scholarly Literature: A Wiki-Based Approach
Learning Observation Models for Dialogue POMDPs
Text Summarization as Controlled Search
Enhancing Legal Text Entailment: Evaluating Model Architectures, Training Approaches, and Interpretability
Joint Trust for Belief Revision
Accent Classification Using Support Vector Machine and Hidden Markov Model
A New Profile Alignment Method for Clustering Gene Expression Data
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
Uncovering Hidden Sentiment in Meetings
Semantic Annotation Using Ontology and Bayesian Networks
PARSETALK about Functional Anaphora
A Semi-supervised Approach to Bengali-English Phrase-Based Statistical Machine Translation
A Computer Approach for Face Aging Problems
Sentiment and Factual Transitions in Online Medical Forums
Predicting the Number of Reported Bugs in a Software Repository
Towards determining the criticality of AI applications: A model risk management perspective
Nearly Counterfactual Revision
Intrinsic Representation: Bootstrapping Symbols from Experience
Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems
Radial Basis Function Network Pruning by Sensitivity Analysis
Automated offense Prioritization for SIEM using Probabilistic Machine Learning Models
Choosing Best Algorithm Combinations for Speech Processing Tasks in Machine Learning Using MARF
Search Bound Strategies for Rule Mining by Iterative Deepening
Multihop Factual Claim Verification Using Natural Language Prompts
Planning Animations Using Cinematography Knowledge
Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling
Modeling Local Belief Revision in a Dynamic Reasoning System
Inferring Road Maps from Sparsely-Sampled GPS Traces
Dynamic Maps in Monte Carlo Localization
Full Border Identification for Reduction of Training Sets
A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data
Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
Risk Neutral Calibration of Classifiers
ELEM2: A Learning System for More Accurate Classifications
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
From Data Annotation to AI Prediction: Streamlining Histopathology Analysis in Acute Respiratory Distress Syndrome
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
Poker as Testbed for AI Research
Histogram Arc Consistency as a Value Ordering Heuristic
Software requirement specific entity extraction using transformer models
Simulating Competing Alife Organisms by Constructive Compound Neural Networks
Reflexive Regular Equivalence for Bipartite Data
Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections
A Relational Modeling of Cognitive Maps
Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization
Preference Thresholds Optimization by Interactive Variation
An Efficient Resource Allocation Approach in Real-Time Stochastic Environment
Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model
I3D Light - A Simple Motion Information Stream for I3D
Belief Selection in Point-Based Planning Algorithms for POMDPs
Statistical Parsing with Context-Free Filtering Grammar
Selecting the Right Heuristic Algorithm: Runtime Performance Predictors
Mining Sequential Rules Common to Several Sequences with the Window Size Constraint
On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief
Determining an Optimal Seismic Network Configuration Using Self-Organizing Maps
Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings
Confused and Thankful: Multi-label Sentiment Classification of Health Forums
A Clustering Algorithm Based on Adaptive Subcluster Merging
Modelling Singularity in Vision to Learn Rotation Invariance toward Recognition
A Two-Level Approach to Learning in Nonstationary Environments