yusuke1997/dblp-id-title huggingface dataset:
Learning Network Topology from Simple Sensor Data
An Empirical Study on Vagueness Detection in Privacy Policy Texts
Multi-state Directed Acyclic Graphs
Machine learning and artificial neural networks for improved algorithmic design of nanophotonic structures
A Genetic K-means Clustering Algorithm Applied to Gene Expression Data
Automatic Household Identification for Historical Census Data
Advances in Artificial Intelligence, 23rd Canadian Conference on Artificial Intelligence, Canadian, AI 2010, Ottawa, Canada, May 31 - June 2, 2010. Proceedings
The Use of Human Evaluators in Emotion Text-Detection
Collaborative Clustering Approach Based on Dempster-Shafer Theory for Bag-of-Visual-Words Codebook Generation
Towards Efficient Training on Large Datasets for Genetic Programming
Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection
InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait
An Improved Machine Learning Approach for Selecting a Polyhedral Model Transformation
Certified Robustness Guarantee for Ensemble Networks
Task Allocation in Robotic Swarms: Explicit Communication Based Approaches
Using ProtoPNet for Interpretable Alzheimer's Disease Classification
Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms
Deep Multi-cultural Graph Representation Learning
Planning for Connected Agents in a Partially Known Environment
Argumentation-Based Reasoning with Inconsistent Knowledge Bases
Balanced-Boundary IoU: A holistic algorithm towards improving segmentation evaluation metric
Detection and Identification of Obfuscated Obscene Language with Character Level Transformers
Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods
A Principled Modular Approach to Construct Flexible Conversation Protocols
Cost-Sensitive Self-Training
On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition
Multi-agent System Architecture for Computer-Based Tutoring Systems
Advances in Artificial Intelligence, 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004, Proceedings
A Noise Filtering Method for Inductive Concept Learning
A Novel Genetic Algorithm for the Word Sense Disambiguation Problem
A Hierarchical Model of Agent Based on Skill, Rules, and Knowledge
Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data
Modelling Personality-Based Individual Differences in the Use of Emotion Regulation Strategies
Exploiting Rhetorical Relations in Blog Summarization
A Framework for Discovering Bursty Events and Their Relationships from Online News Articles
Using AI planning and multi-agent pathfinding for droplet routing
Unifying Single-Agent and Two-Player Search
The Design and Implementation of an Electronic Lexical Knowledge Base
An Enhanced Genetic Algorithm Approach to the Channel Assignment Problem in Mobile Cellular Networks
Task-Structure Based Mediation: The Travel-Planning Assistant Example
Probability and Equality: A Probabilistic Model of Identity Uncertainty
Feature Subset-Wise Mixture Model-Based Clustering via Local Search Algorithm
Searching Solutions in the Crypto-arithmetic Problems: An Adaptive Parallel Genetic Algorithm Approach
Stacking for Misclassification Cost Performance
Understanding Capacity Saturation in Incremental Learning
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains
Relational Learning with Transfer of Knowledge Between Domains
Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming
Évaluation d'un Système pour le Résumé Automatique de Documents Électroniques
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics
Genetic Algorithms for Continuous Problems
Parameter-Efficient Methods for Metastases Detection fromClinical Notes
EarthEncode: A Vision-Language Framework for Balanced Soil Property Mapping
IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance
Personality Trait Detection using an Hierarchy of Tree-transformers and Graph Attention Network
English to Chinese Translation of Prepositions
Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model
Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning
Using Multiagent Systems to Improve Real-Time Map Generation
An Approach to Improving Single Sample Face Recognition Using High Confident Tracking Trajectories
Sparseout: Controlling Sparsity in Deep Networks
An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction
A General Purpose Reasoner for Abstraction
Rumour Evaluation with Very Large Language Models
Incremental Case-Based Reasoning for Classification
Abstractive Meeting Summarization as a Markov Decision Process
MeSH Represented MEDLINE Query Results
A Generic Evolutionary Algorithm for Efficient Multi-Robot Task Allocations
Semantic Similarity Matching Using Contextualized Representations
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing
Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks
Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech
A Common Multi-agent Testbed for Diverse Seamless Personal Information Networking Applications
Analysis of Important Factors for Measuring Similarity of Symbolic Music Using n-gram-Based, Bag-of-Words Approach
Privacy Compliance Enforcement in Email
Learning the Semantic Meaning of a Concept from the Web
Feature Extraction of Handwritten Symbols Using Fuzzy Logic
Classification of Moving Objects Under the Spatial-Spatiotemporal Taxonomy of Descriptor
A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks
Maintaining Preference Networks That Adapt to Changing Preferences
Instance Cloning Local Naive Bayes
Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty
Compression Improves Image Classification Accuracy
Privacy Preserving Publication of Longitudinal Health Data
Planning in Multiagent Expedition with Collaborative Design Networks
Tolerance-Based Approach to Audio Signal Classification
STFLS: A Heuristic Method for Static and Transportation Facility Location Allocation in Large Spatial Datasets
Term-Based Clustering and Summarization of Web Page Collections
Frame Problem and Obligation-Producing actions
Behavioural Game Theory: Predictive Models and Mechanisms
Sparse Representation for Machine Learning
Spatio-temporal Reasoning for Vague Regions
A Concurrent Dynamic Logic of Knowledge, Belief and Certainty for Multi-agent Systems
Learning How Productive and Unproductive Meetings Differ
A Multi-objective Genetic Algorithm Based on Quick Sort
Adjectives: A Uniform Semantic Approach
A Context-Aware LLM-Based Action Safety Evaluator for Automation Agents
Toward a Conceptual Framework for Understanding AI Action and Legal Reaction
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
Pathfinding by Demand Sensitive Map Abstraction
An Extendable Natural Language Interface to a Consumer Service Database
Aspects of Inconsistency Resolution in Modular Ontologies
Automating Model Acquisition by Fault Knowledge Re-Use: Introducing the Diagnostic Remodeler Algorithm
Machine Learning the Donor Journey
Speech Intention Classification with Multimodal Deep Learning
"FIJO": a French Insurance Soft Skill Detection Dataset
Learning General Graphplan Memos through Static Domain Analysis
Learning Classifications from Multiple Sources of Unsupervised Data
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Parsing to Meaning, Statistically
Dsharp: Fast d-DNNF Compilation with sharpSAT
Uncertain Evidence for Probabilistic Relational Models
Neural ARX Models and PAC Learning
Word Normalization Using Phonetic Signatures
Using Inter-agent Trust Relationships for Efficient Coalition Formation
Binary Decision Tree Using Genetic Algorithm for Recognizing Defect Patterns of Cold Mill Strip
Contextual bandit optimization of super-resolution microscopy
Transfer Learning for Multi-Lead ECG Analysis in Cardiac Arrest Risk Classification
SF2D: Semi-supervised Federated Learning for Fall Detection using (Un)labelled Data in Edge-Cloud
On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings
Exploring Preferential Label Smoothing for Neural Network-based Classifiers
On the Usage of Discourse Relations Across Texts with Different Readability Levels
Resolvent Clause Weighting Local Search
37th Canadian Conference on Artificial Intelligence, Canadian AI 2024, Guelph, ON, Canada, May 27-31, 2024, Proceedings
Query-Based Summarization of Customer Reviews
SuperiorLoss: An Intuitive Loss Function for Robust Curriculum Learning
Decision Assist for Self-driving Cars
A Study of Recommending Locations on Location-Based Social Network by Collaborative Filtering
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
The IMAP Hybrid Method for Learning Gaussian Bayes Nets
d-Separation: Strong Completeness of Semantics in Bayesian Network Inference
Background Knowledge Enriched Data Mining for Interactome Analysis
35th Canadian Conference on Artificial Intelligence, Canadian AI 2022, Toronto, Ontario, Canada, May 30 - June 3, 2022, Proceedings
Hierarchical Shortest Pathfinding Applied to Route-Planning for Wheelchair Users
Iterated Robust Tabu Search for MAX-SAT
Unsupervised Labeling of Noun Clusters
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
Attending Knowledge Facts with BERT-like Models in Question-Answering: Disappointing Results and Some Explanations
Adaptive Learning Rates for Gradient Boosting Machines
Generation of Demand Feedback in Intelligent Tutors for Programming
Proceedings of the 34th Canadian Conference on Artificial Intelligence, Canadian AI 2021, online, May 2021
To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction
MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models
Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations
Preictal-Interictal Classification for Seizure Prediction
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
Incremental Sequential Rule Mining with Streaming Input Traces
A Formal Study on the Dualities in Temporal Projection Problems
Real-Time Decision Making for Large POMDPs
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays
Characterizing a Brain-Based Value-Function Approximator
Robustness of Classifiers to Changing Environments
Analysis of Social Media Posts for Early Detection of Mental Health Conditions
A Classification-Based Glioma Diffusion Model Using MRI Data
Question-Worthy Sentence Selection for Question Generation
An Adaptive Trust and Reputation System for Open Dynamic Environment
A Computational Method for Histological Bone Research using Convolutional Neural Networks
A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains
An Experiment for Background Subtraction in a Dynamic Scene
Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget's Thesaurus
AERO: An Outsourced Approach to Exception Handling in Multi-agent Systems
Towards an Ontology-Based Spatial Clustering Framework
The Frequency of Hedging Cues in Citation Contexts in Scientific Writing
Searching for Poor Quality Machine Translated Text: Learning the Difference between Human Writing and Machine Translations
A Novel Particle Swarm-Based Approach for 3D Motif Matching and Protein Structure Classification
A Hybrid Approach to Improving Automatic Speech Recognition Via NLP
A Comparison of Consistency Propagation Algorithms in Constraint Optimization
VMSP: Efficient Vertical Mining of Maximal Sequential Patterns
Planning Strategy Representation of DoLittle
Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute
Learning Bayesian Networks in Semi-deterministic Systems
Knowledge-Based Approaches to Query Expansion in Information Retrieval
Extraction of Text Phrases Using Hierarchical Grammar
A Bayesian Model to Smooth Telepointer Jitter
Arabic Speech Synthesis Using a Concatenation of Polyphones: The Results
Deep Distributed News: Ontologies to the Rescue of Journalism
Evaluating gender bias in Wikipedia using document embeddings
A Structural Characterization of DAG-Isomorphic Dependency Models
A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows
Unsupervised Feature Selection Using Orthogonally Constrained Matrix Factorization with Hessian Regularization and Non-Convex Sparsity
Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine
Improving Word Embeddings via Combining with Complementary Languages
RISC: Generating Realistic Synthetic Bilingual Insurance Contract
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
Identifying Explicit Discourse Connectives in Text
Move Pruning and Duplicate Detection
An Agent-Based Architecture for Sensor Data Collection and Reasoning in Smart Home Environments for Independent Living
Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry
Reinforcement Learning for Real-World Control Applications
Metaheuristics for Score-and-Search Bayesian Network Structure Learning
Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
Salient Object Detection in Noisy Images
Real-Time Deep Learning Pedestrians Classification on a Micro-Controller
Topic Modeling in Embedding Spaces for Depression Assessment
Graph learning with programmatic weak supervision
A Global Search Approach for Inducing Oblique Decision Trees Using Differential Evolution
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Evaluation and Application of Scenario Based Design on Thunderbird
Classification of Imbalanced Auction Fraud Data
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes
Back to the Future: Changing the Direction of Time to Discover Causality
Partial Evaluation for Planning in Multiagent Expedition
Lexicographic Preference Trees with Hard Constraints
The Impact of Toxic Language on the Health of Reddit Communities
Sequence-Based Bidirectional Merge Map-Matching Algorithm for Simplified Road Network
An Empirical Analysis on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data
Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality
Using Object Influence Areas to Quantitatively Deal with Neighborhood and Perception in Route Descriptions
Classifying Organizational Roles Using Email Social Networks
Post-supervised Template Induction for Dynamic Web Sources
Forecasting Canadian Elections Using Twitter
From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art
A Context-Aware Reputation-Based Model of Trust for Open Multi-agent Environments
Does ChatGPT Measure Up to Discourse Unit Segmentation? A Comparative Analysis Utilizing Zero-Shot Custom Prompts
Principal Sample Analysis for Data Ranking
Anomaly Detection and Explanation of Wind Turbine Main Bearings using Autoencoder and Bayesian Network Models
A Hybrid Neural-Markov Approach for Learning to Compose Music by Example
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Mining Biomedical Literature: An Open Source and Modular Approach
Supervised recommendations of gas metal arc welding parameters
Grounding Social Interaction with Affective Intelligence
Class-wise Calibration: A Case Study on COVID-19 Hate Speech
XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation
Solving Dynamic CSPs
Lazy Averaged One-Dependence Estimators
Fast Graph Neural Network for Image Classification
Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs
Hybrid Reasoning for Ontology Classification
Genetic Algorithm Based OSPF Network Routing Using LEDA
Exploiting Semantic Roles for Asynchronous Question Answering in an Educational Setting
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects
Toward a Deep Reinforcement Learning Framework for Efficient Uncrewed Aerial Vehicle Control System in Dynamic Environments
Deep Multi Agent Reinforcement Learning for Autonomous Driving
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach
Belief Rough Set Classifier
On the Influence of Annotation Quality in Suicidal Risk Assessment from Text
Simulating the Effect of Emotional Stress on Task Performance Using OCC
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Compiling the Lexicographic Inference Using Boolean Cardinality Constraints
Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model
Using Agent Replication to Enhance Reliability and Availability of Multi-agent Systems
Extending AdaBoost to Iteratively Vary Its Base Classifiers
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
Modeling Organizational Rules in the Multi-agent Systems Engineering Methodology
Reranking Candidate Lists for Improved Lexical Induction
Decision Mining with User Preference
A Lexical Functional Mapping Algorithm
Using Semantic Information to Answer Complex Questions
Managing Conditional and Composite CSPs
Artificial Intelligence-Based Latency Estimation for Distributed Systems
Generalized Arc Consistency with Application to MaxCSP
Offensive Language Detection Using Multi-level Classification
Improved Arabic-French Machine Translation through Preprocessing Schemes and Language Analysis
User Interface Aspects of a Translation Typing System
Bridging Reality Gap Between Virtual and Physical Robot through Domain Randomization and Induced Noise
Getting Emotional about News Summarization
Acquisition of 'Deep' Knowledge from Shallow Corpus Statistics
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles
Experiences Building a Distributed Sensor Network
Categorizing Emails Using Machine Learning with Textual Features
TAVo: Tor Application Detection with Voting Critic
Extracting Relations between Diseases, Treatments, and Tests from Clinical Data
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation
SIEM+: Harnessing Machine Learning for Advanced Anomaly Detection in Cybersecurity Software
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning
Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding
Machine Learning Techniques to Unveil and Understand Pseudomonas aeruginosa Survival Mechanism in Nutrient Depleted Water
Learning Sentiments from Tweets with Personal Health Information
Text-Based Detection of Unauthorized Users of Social Media Accounts
Learning to Measure Influence in a Scientific Social Network
Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools
A Unified Evaluation Framework for Recommenders
An AI Approach for Reducing Residual Motion and Noise from Myocardial Perfusion for Assessment of Coronary Artery Disease
Neural Network-POMDP-Based Traffic Sign Classification Under Weather Conditions
Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows
Planning Algorithms and Planning Problems (Abstract)
Fuzzy Computational Model for Emotions Originated in Workplace Events
Finding Partitions for Learning Control of Dynamic Systems
An Efficient Compositional Semantics for Natural-Language Database Queries with Arbitrarily-Nested Quantification and Negation
Faithful Perturbations and Evaluations for Post-Hoc Local Explanation Methods
On Multi-robot Area Coverage
Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement
Advanced Deep Regression Models for Oil Production Forecast
Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization
Correcting Different Types of Errors in Texts
A Density-Penalized Distance Measure for Clustering
Sequential Consolidation of Learned Task Knowledge
A SVM-Based Ensemble Approach to Multi-Document Summarization
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
Machine learning for the prediction of safe and biologically active organophosphorus molecules
Diverse Action Costs in Heuristic Search and Planning
Dueling CSP Representations: Local Search in the Primal versus Dual Constraint Graph
The Learnability of Naive Bayes
Handling Over-Constrained Problems in Distributed Multi-agent Systems
Improvements to the Linear Optimization Models of Patrol Scheduling for Mobile Targets
Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm
A Supervised Learning Approach to Acronym Identification
The Impact of External Dependency in Genetic Programming Primitives
Machine Learning in a Quantum World
Large Neighborhood Search Using Constraint Satisfaction Techniques in Vehicle Routing Problem
Enumerating the Preconditions of Agent Message Types
Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem
Improving Software Requirements Prioritization through the Lens of Constraint Satisfaction
Diminishing Simplicity Bias using GAN Generated Unbiased Augmentations
Coarsening Classification Rules on Basis of Granular Computing
Re-using Web Information for Building Flexible Domain Knowledge
How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A 'Believable' and 'Usable' Multiagent-Based Simulation of Customers' Shopping Behavior in a Mall
Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model
A Deep Learning Approach for Diagnosing Long QT Syndrome Without Measuring QT Interval
Exploiting Conversational Features to Detect High-Quality Blog Comments
Exhaustive Search with Belief Discernibility Matrix and Function
Distributed Gaussian Mixture Model Summarization Using the MapReduce Framework
The Use of Increasingly Specific User Models in the Design of Mixed-Initiative Systems
Actions, Preferences, and Logic Programs
A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns
Enhancing Food Price Forecasts in Canada: An Integration of Expert-Driven Covariates and Advanced ML Approaches
Gaussian Neuron in Deep Belief Network for Sentiment Prediction
On the Role of Possibility in Action Execution and Knowledge in the Situation Calculus
Artificial Intelligence solution to monitor key human biomedical marker via thermal camera
Anomaly-Based Network Intrusion Detection Using Outlier Subspace Analysis: A Case Study
Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification
Designing for Fairness in Higher Education Early Warning Systems
The Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study
Automatic Identification of Parallel Documents With Light or Without Linguistic Resources
On identifying significant edges for structure learning in Bayesian networks
-: A Semantic Web Based Knowledge Representation and Context-Driven Morphing Framework
Improving Phenotype Name Recognition