yusuke1997/dblp-id-title huggingface dataset:
PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes
Improving Conversation Engagement Through Data-Driven Agent Behavior Modification
Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes
Word Representations, Seed Lexicons, Mapping Procedures, and Reference Lists: What Matters in Bilingual Lexicon Induction from Comparable Corpora?
The Role of Nominalizations in Prepositional Phrase Attachment in GENIA
Design and Implementation of a Smart Quotation System
A modularized framework for explaining hierarchical attention networks on text classifiers
Supporting the Needs of Mobile Home Care Workers: A Case Study for Saskatoon District Health System
De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency
Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis
Leveraging AI to investigate the impact of different research funding programs on research outcome
Ethical Risk Assessment of the Data Harnessing Process of LLM supported on Consensus of Well-known Multi-Ethical Frameworks
Aligning Language Models Using Multi-Objective Deep Reinforcement Learning
Novel Game Playing Strategies Using Adaptive Data Structures
A Clustering-based Approach for Predicting the Future Location of a Vessel
DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning
Grapheme Generation in Learning to Read English Words
SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning
Investigating Citation Linkage with Machine Learning
Efficient Mining of Indirect Associations Using HI-Mine
Fault Prediction in the Telephone Access Loop Using a Neural Network
Advancements in Large Language Models Through Employment of Retrieval Augmented Generation and its Enhancements for Assistance in Academia
SAGNN+CS: A Resilient Graph Neural Network Framework Against Backdoor Threats
Characterizing Tractable CSPs
A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
Prediction of Host-Pathogen RNA Interaction From RNA Sequences and Dual RNA-seq Data using Variational Autoencoders and Supervised Machine Learning Methods
The Mismeasure of Machines
Distance Constraint Arrays: A Model for Reasoning on Intervals with Qualitative and Quantitative Distances
Local and Global Influence on Twitter
Electronic Contract Framework for Contractual Agents
HEAL: Heterogeneous Ensemble and Active Learning Framework
Active Team Management Strategies for Multi-robot Teams in Dangerous Environments
Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images
Forecasting and Understanding the 2021 Canadian Federal Election Using Twitter Conversations
A Density-Grid Based Clustering Algorithm on Data Stream Using Resilient Distributed Datasets
Improving User-Perceived QoS in Mobile Ad Hoc Networks Using Decision Rules Induction
Learning Pseudo-independent Models: Analytical and Experimental Results
Score Calibration for Optimal Biometric Identification
Advances in Artificial Intelligence, 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006, Proceedings
Maize Insects Classification Through Endoscopic Video Analysis
Incremental Learning with Self-labeling of Incoming High-dimensional Data
Automatic Reduction of Execution Trace Data Volume Using Gradient Boosting in Large-Scale Microservice Systems
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition
Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer
Attenuating Catastrophic Forgetting of Token-Level Knowledge in Contrastive Sentence Embeddings with Attentive Pooling
Efficiency of Algorithmic Policing Tools: a nod to C.N. Parkinson
Counterfactual Explanations for Rankings
Novice-Friendly Natural Language Generation Template Authoring Environment
Negoplan: A System for Logic-Based Decision Modelling
Combinatorial Reverse Electricity Auctions
An Intelligent Automatic Face Contour Prediction System
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Identifying and Eliminating Irrelevant Instances Using Information Theory
Finding a Single, All, or the Most Probable Solution to a Finite or Non-finite Interval Algebra Network
When does Continuous Learning for BERT make sense?
Direct Answer Threshold Optimization in Dialogue Systems
Learning by Discovering Conflicts
Fuzzy Rough Set-Based Unstructured Text Categorization
An Ontology-Based Spatial Clustering Selection System
Advancing NHL Analytics through Explainable AI
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem
A New Model of Hard Binary Constraint Satisfaction Problems
Detection and Diagnosis of Breast Cancer Using a Bayesian Approach
Preference-Based Planning via MaxSAT
On the Applicability of L-systems and Iterated Function Systems for Grammatical Synthesis of 3D Models
An Improved Data Sanitization Algorithm for Privacy Preserving Medical Data Publishing
Sequential Instance-Based Learning
Parity: The Problem that Won't Go Away
Relaxation of Soft Constraints Via a Unified Semiring
Mobile App for Detection of Counterfeit Banknotes
A Causal Approach for Mining Interesting Anomalies
Customer Segmentation and Churn Prediction in Online Retail
Protocol Verification in a Theory of Action
Agents with Genders for Inventory Planning in E-Management
Conversation Alignment for Task-Oriented Dialogue Agents
Self-training for Cell Segmentation and Counting
Advances in Artificial Intelligence , 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, Windsor, Canada, May 28-30, 2008, Proceedings
A Decision Theoretic Meta-reasoner for Constraint Optimization
Constructive Induction: A Preprocessor
Semantics of Multiply Selectioned Bayesian Networks for Cooperative Multi-agent Distributed Interpretation
Consolidation using Multiple Task Learning with Context Inputs and Replay of CVAE Generated Pseudo-Examples
A Graph Based Backtracking Algorithm for Solving General CSPs
Detection of Mine-Like Objects Using Restricted Boltzmann Machines
Automatically Learning a Human-Resource Ontology from Professional Social-Network Data
On the Impact of Imbalance Handling Techniques in Deep Learning Models for Malware Detection
Simple Support-Based Distributed Search
The Power of the TSNLP: Lessons from a Diagnostic Evaluation of a Broad-Coverage Parser
Machine Learning for Hotel Booking Cancellations Prediction
Multi Class Adult Image Classification Using Neural Networks
Rethinking the Semantics of Complex Nominals
Generative Adversarial Network: Use of Non-IID Samples
An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Performance Measures in Classification of Human Communications
On the Role of the Markov Condition in Causal Reasoning
Valuable Change Detection in Keyword Map Animation
Fast Grid-Based Path Finding for Video Games
Watching You, Watching Me
Cost-Based Sampling of Individual Instances
Multi-agent Trail Making for Stigmergic Navigation
Solving Constraint Satisfaction Problems Using Firefly Algorithms
Potential AI Strategies to Solve the Commons Game : A Position Paper
Time Prediction of the Next Refueling Event: A Case Study
Seller Bidding in a Trust-Based Incentive Mechanism for Dynamic E-Marketplaces
An Improved Satisfiable SAT Generator Based on Random Subgraph Isomorphism
Multi-label Learning Through Minimum Spanning Tree-Based Subset Selection and Feature Extraction
Classification Automaton and Its Construction Using Learning
Deborah Ann Stacey, Application of Bayesian Networks to Shopping Assistance
Advances in Artificial Intelligence - 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, Edmonton, AB, Canada, May 16-19, 2017, Proceedings
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques
Four-Valued Semantics for Default Logic
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
Pattern-Based AI Scripting Using ScriptEase
Domain Adaptation Techniques for Machine Translation and Their Evaluation in a Real-World Setting
The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction
A Comparison of h 2 and MMM for Mutex Pair Detection Applied to Pattern Databases
Corpus-Based Learning of Generalized parse Tree Rules for Translation
Using a Heterogeneous Dataset for Emotion Analysis in Text
Developing an Expert System Technology for Industrial Process Control: An Experience Report
A Novel Use of VXML to Construct a Speech Browser for a Public-Domain SpeechWeb
Integrating Web Content Clustering into Web Log Association Rule Mining
Generic Solution Construction in Valuation-Based Systems
Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement
Overlap versus Imbalance
A Fully Secure Approach to Privacy-Preserving Machine Learning for Satellite Image Classification
Crowd Prediction Under Uncertainty
Compact Features for Sentiment Analysis
Efficient Induction of Recursive Prolog Definitons
Feature Selection by Bayesian Networks
General Topic Annotation in Social Networks: A Latent Dirichlet Allocation Approach
Filtering Personal Queries from Mixed-Use Query Logs
Typical Example Selection for Learning Classifiers
Classifying Severely Imbalanced Data
Multiagent Decision by Partial Evaluation
Using Change Detection to Adapt to Dynamically Changing Trustees
Maintaining Genetic Diversity in Genetic Algorithms through Co-evolution
Stock Market Prediction from Sentiment and Financial Stock Data Using Machine Learning
Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data
Learning Statistically Significant Contrast Sets
Evaluation of a Failure Prediction Model for Large Scale Cloud Applications
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal
An Unsupervised Clustering Algorithm for Intrusion Detection
An Improved LAZY-AR Approach to Bayesian Network Inference
Evaluation Methods for Ordinal Classification
Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries
Constraint-Directed Improvisation for Complex Domains
First Steps Towards Incremental Diagnosis of Discrete-Event Systems
RFCT: An Association-Based Causality Miner
Active Learning Strategies for Semi-Supervised DBSCAN
Scheduling Using Constraint-Directed Search
Multimodal Emotion Recognition with Cross-Attentive Learning and Feature Fusion
Progressive Defeat Paths in Abstract Argumentation Frameworks
Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness
Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means
Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data
The Frame Problem and Bayesian Network Action Representation
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
Interact: A Staged Approach to Customer Service Automation
STOCS: An Efficient Self-Tuning Multiclass Classification Approach
Polynomial Multivariate Approximation with Genetic Algorithms
Heuristic Restart Methods for Optimal Surgery Scheduling
Anomaly Detection and Prototype Selection Using Polyhedron Curvature
On Neural Process Pooling Operator Choice and Posterior Calibration
Formal Verification of Temporal Questions in the Context of Query-Answering Text Summarization
Mining Administrative Data to Predict Falls in the Elderly Population
Binary Classification with Minimum Observations
The WordNet Weaver: Multi-criteria Voting for Semi-automatic Extension of a Wordnet
On the Structure Model Interpretation of Wright's NESS Test
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning
Alcohol Use Estimators within the Canadian Population using Deep Learning on Social Media Data
A Domain Ontology Model for Mould Design Automation
Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model
Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems
Automated Debugging of Deep Text Classifiers
A Domain-Specific Transformer Approach for Financial Statement Fraud Detection
Populating a Knowledge Base from a Dictionary
Two-Literal Logic Programs and Satisfiability Representation of Stable Models: A Comparison
Rank-Based Transformation in Measuring Semantic Relatedness
Who Is the Artificial Author?
Preference Constrained Optimization under Change
A Smart Home Agent for Plan Recognition
Fast Markov Blanket Discovery Algorithm Via Local Learning within Single Pass
Semantic Analysis of Functional and Non-Functional Requirements in Software Requirements Specifications
Expanding the Type Hierarchy with Nonlexical Concepts
An Application of Answer Set Programming for Situational Analysis in a Maritime Traffic Domain
Heterogeneous Patient Graph Embedding in Readmission Prediction
Cycle-Cutset Sampling for Bayesian Networks
Finding Interesting Summaries in GenSpace Graphs Efficiently
Regularized Classifiers for Information Retrieval
Oracles and Assistants: Machine Learning Applied to Network Supervision
Word Clustering with Validity Indices
Executable Specifications of Fully General Attribute Grammars with Ambiguity and Left-Recursion
Software Defect Prediction from Code Quality Measurements via Machine Learning
Leveraging semantic for community mining in multilayer networks
Stratified Partial-Order Logic Programming
Learning Probability Distributions over Permutations by Means of Fourier Coefficients
Constraint Programming Lessons Learned from Crossword Puzzles
A Simple Method for Testing Independencies in Bayesian Networks
Simulating Cognitive Phenomena with a Symbolic Dynamical System
An Object Indexing Methodology as Support to Object Recognition
Belief Revision of Product-Based Causal Possibilistic Networks
Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System
Lifted Temporal Maximum Expected Utility
Encoding Dependency Information inside Tree Transformer
Learning Belief Revision Operators
Training Global Linear Models for Chinese Word Segmentation
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics
An empirical study on probabilistic forecasting for predicting city-wide electricity consumption
Establishing Logical Connectivity between Query Keywords and Database Contents
AI Transparency in a Real-World Context: What we can learn from past examples of algorithmic and statistical decision-making
Adjusting the Autonomy of Collections of Agents in Multiagent Systems
Graph-Based Domain-Specific Semantic Relatedness from Wikipedia
Few shot learning approaches to essay scoring
Mixing ICI and CSI Models for More Efficient Probabilistic Inference
Automatic Detection of Behaviours of Risk in People with Dementia using Unsupervised Deep Learning
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms
A Hybrid Convergent Method for Learning Probabilistic Networks
Using Language to Determine Success in Negotiations: A Preliminary Study
Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery
Harnessing Open Information Extraction for Entity Classification in a French Corpus
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
On Generalized Bellman Equations and Temporal-Difference Learning
The Ant Search Algorithm: An Ant Colony Optimization Algorithm for the Optimal Searcher Path Problem with Visibility
Creating a Fuzzy Believer to Model Human Newspaper Readers
Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity
Corpus-Based Term Relatedness Graphs in Tag Recommendation
Instance Selection in Semi-supervised Learning
Text Representation Using Multi-level Latent Dirichlet Allocation
Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Halifax, Nova Scotia, Canada, June 2-5, 2015, Proceedings
A Shallow Learning - Reduced Data Approach for Image Classification
Real-Time Plant Disease Detection Using YOLOv8 on a Low Resources Device
Selective Retrieval for Categorization of Semi-structured Web Resources
R-FRTDP: A Real-Time DP Algorithm with Tight Bounds for a Stochastic Resource Allocation Problem
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites
Robust Semantic for an Evolved Genetic Algorithm-Based Machine Learning
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Policies, Conversations, and Conversation Composition
Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003, Proceedings
Improving Bayesian Learning Using Public Knowledge
A Statistical Model for Topic Segmentation and Clustering
Adding Local Constraints to Bayesian Networks
Sentiment Analysis with Cognitive Attention Supervision
Selective Transfer of Task Knowledge Using Stochastic Noise
Topic Models for Assessment of Mental Health Issues
Role Assignment for an Agent Group in Consideration of Conflicts among Agents
Using Learned PSR Model for Planning under Uncertainty
Cache-Efficient Memory Representation of Markov Decision Processes
Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions
Heterogeneous Multi-Population Cultural Algorithm with a Dynamic Dimension Decomposition Strategy
Intelligent Tutoring Systems Measuring Student's Effort During Assessment
Social Media Corporate User Identification Using Text Classification
Enhancing Maximum Satisfiablility Algorithms with Pure Literal Strategies
Question Answering Using Unification-Based Grammar
Object-Based Representation for Scene Classification
Notes on Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism
Assessing the Impact of Changing Environments on Classifier Performance
Quantifying Path Smoothness in Video Object Tracking by Detection
Moving Object Modelling Approach for Lowering Uncertainty in Location Tracking Systems
Towards an Automated Citation Classifier
Competition and Coordination in Stochastic Games
Co-Training on Handwritten Digit Recognition
Using Noun Phrase Heads to Extract Document Keyphrases
In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning
Mixture-of-Experts for Time Series Imputation
Improving Document Search Using Social Bookmarking
A Novel Approach for Social Behavior Analysis of the Blogosphere
A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems
Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions
Active Measure Reinforcement Learning for Observation Cost Minimization
Incremental Neighborhood Graphs Construction for Multidimensional Databases Indexing
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion
Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks
Detecting Aimbot Usage in Minecraft Using a Long Short-Term Memory Model
A Consensus Approach for Annotation Projection in an Advanced Dialog Context
Unsupervised Sentiment Analysis of Objective Texts
Artificial Aging of Faces by Support Vector Machines
Robust Features for Detecting Evasive Spammers in Twitter
Want To Choose Your Own Adventure? Then First Make a Plan
Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models
Person Identification Using Discriminative Visual Aesthetic
Ensemble of Multiple Kernel SVM Classifiers
Efficient Algorithms for Video Association Mining
Phrase-Based Statistical Machine Translation for a Low-Density Language Pair
Opinion Learning without Emotional Words
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
Sample Efficiency in Deep Reinforcement Learning based Recommender Systems with Imitation Learning
A Markov Decision Process Model for Strategic Decision Making in Sailboat Racing
Active Recruitment Mechanisms for Heterogeneous Robot Teams in Dangerous Environments
Adaptive Fraud Detection Using Benford's Law
Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks
Attribute Selection Strategies fro Attribute-Oriented Generalization
Investigating Citation Linkage as a Sentence Similarity Measurement Task Using Deep Learning
Vocabulary Completion Through Word Cooccurrence Analysis Using Unlabeled Documents for Text Categorization
Time-Sensitive Topic-Based Communities on Twitter
Topic Detection and Document Similarity on Financial News
Language Patterns in the Learning of Strategies from Negotiation Texts
Bayesian Networks to Model Pseudomonas aeruginosa Survival Mechanism and Identify Low Nutrient Response Genes in Water
A Multi-agent System for Semantic Information Retrieval
Auto-FAQ-Gen: Automatic Frequently Asked Questions Generation
Lessons Learned in the Development and Implementation of a Bilingual Nationally Accessible Knowledge-Based System
Voting Between Multiple Data Representations for Text Chunking
How AI Can Help SE; or: Randomized Search Not Considered Harmful
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
A Tool for Defining and Simulating Storage Strategies on the Smart Grid
Sampling Graphical Networks via Conditional Independence Coupling of Markov Chains
Two Set-Theoretic Approaches to the Semantics of Adjective-Noun Combinations
Flexible Approximators for Approximating Fixpoint Theory
Use of Ontology and Cluster Ensembles for Geospatial Clustering Analysis
Topic Discovery from Text Using Aggregation of Different Clustering Methods
Sensory Updates to Combat Path-Integration Drift
Emotional Pathfinding
An Attention-Based Parallel Hybrid Prediction Model for Intersection Level Turning Movement Forecasting
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference
Macro Learning in Planning as Parameter Configuration
Triple-Aware Reasoning: A Retrieval-Augmented Generation Approach for Enhancing Question-Answering Tasks with Knowledge Graphs and Large Language Models
The Structural Model Interpretation of the NESS Test
Handling Concept Drift in Fraud Detection: A Replication Study
Rhetorical Figuration as a Metric in Text Summarization
Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures
Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines
On the Complexity of VLSI-Friendly Neural Networks for Classification Problems
A Trainable Bracketer for Noun Modifiers
Quantified Coalition Logic of Knowledge, Belief and Certainty
On the Integration of Recursive ALN-Theories
Utility Estimation in Large Preference Graphs Using A* Search
Automatic Frame Extraction from Sentences
Personalized Contexts in Help Systems
Multiagent Systems Viewed as Distributed Scheduling Systems: Methodology and Experiments
Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition
A Neural Network Based Approach to the Artificial Aging of Facial Images
Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study
Solving Influence Diagrams with Simple Propagation
Rule Mining and Prediction Using the Flek Machine - A New Machine Learning Engine