yusuke1997/dblp-id-title huggingface dataset:
SCODA - Framework for Software Capability Representation and Inspection
A Non-monotonic ATMS Based on Annotated Logic Programs with Strong Negation
A New Learning Method for S-GCM
Learning Hybrid Bayesian Networks by MML
Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python
Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation
Dialogue Modelling for a Conversational Agent
Simplifying the Development of Intelligent Agents
Tracking Drift Severity in Data Streams
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms
Possibilistic Inferences in Answer Set Programming
An Intelligent Grading System for Descriptive Examination Papers Based on Probabilistic Latent Semantic Analysis
Lazy Learning for Improving Ranking of Decision Trees
UFO RPN: A Region Proposal Network for Ultra Fast Object Detection
Neural Net Based Division of an Image Blob of People into Parts of Constituting Individuals
Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising
Square Root Unscented Particle Filtering for Grid Mapping
A Procedural Approach for Rule Based Update
MML Inference of Oblique Decision Trees
Using Viewing Time for Theme Prediction in Cultural Heritage Spaces
Evaluation of Incremental Knowledge Acquisition with Simulated Experts
Evolutionary Design of Fuzzy Classifiers Using Information Granules
A Data Model for Fuzzy Linguistic Databases with Flexible Querying
Classification of Lung Disease Pattern Using Seeded Region Growing
A New Perspective of Weakly Supervised 3D Instance Segmentation via Bounding Boxes
Classifying Multiple Imbalanced Attributes in Relational Data
A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation
Acquiring Adaptation Knowledge for CBR with MIKAS
A Dynamic Allocation Method of Basis Functions in Reinforcement Learning
Automatic Feature Selection for Classification of Health Data
Concept Type Hierarchy as Ontology: An Example Historical Knowledge Base
MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration
Robot Soccer: Science or Just Fun and Games?
Enhance Reading Comprehension from EEG-Based Brain-Computer Interface
Optimization of Genetic Algorithm Parameters for Multi-channel Manufacturing Systems by Taguchi Method
Game Designers Training First Person Shooter Bots
Medical Image Vector Quantizer Using Wavelet Transform and Enhanced SOM Algorithim
Preference Reasoning in Advanced Question Answering Systems
A Content-Based Routing Scheme for Mobile Data Offloading in Pocket Switched Networks
Revised Entropy Clustering Analysis with Features Selection
The Honourable Negotiator: When the Relationship Is What Matters
Belief Update, the Markovian Situation Calculus, and Discrete Event Systems
Programming Spoken Dialogs Using Grammatical Inference
A Mechanisation of Classical Modal Tense Logics Using Isabelle
Light-weight Online Predictive Data Aggregation for Wireless Sensor Networks
Natural Language Agreement Description for Reversible Grammars
Active Learning Using Difficult Instances
3D Game Engine for Real-Time Facial Animation
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
A Logic for Knowledge Flow in Social Networks
Relating Defeasible and Default Logic
Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation
Improved Techniques for an Iris Recognition System with High Performance
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers
The Application of Mutual Information to the Registration of Stereo and Temporal Images of the Retina
Using Clustering for Web Information Extraction
CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs
Adaptive Curvature-Based Topography for Learning Symbolic Descriptions of Terrain Maps
Adopting Relevance Feature to Learn Personalized Ontologies
Visual Odometry in Dynamic Environments with Geometric Multi-layer Optimisation
Towards Learning Naive Physics by Visual Observation: Qualitative Spatial Representations
Co-clustering for Dual Topic Models
Bayesian Information Reward
An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems
Operation-based Greedy Algorithm for Discounted Knapsack Problem
Large Language Models Imitate Logical Reasoning, but at What Cost?
Genetically Optimized Hybrid Fuzzy Polynomial Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons
Elements of a Learning Interface for Genre Qualified Search
Reverse Active Learning for Optimising Information Extraction Training Production
A Delayed Splitting Bottom-Up Procedure for Model Generation
Relative Expressiveness of Well-Founded Defeasible Logics
Improving StarCraft II Player League Prediction with Macro-Level Features
Design and Implementation of an Intelligent Information Infrastructure
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data
SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement
Preferences of Agents in Defeasible Logic
Shark Detection from Aerial Imagery Using Region-Based CNN, a Study
What Can We Do with Graph-Structured Data? - A Data Mining Perspective
MUTANT: A Genetic Learning System
Diversify Intensification Phases in Local Search for SAT with a New Probability Distribution
User-Defined Smart Contracts Using Answer Set Programming
Model Checking for Reasoning about Incomplete Information Games
The Social Dimension of Interactions in Multiagent Systems
Specification of Kansei Patterns in an Adaptive Perceptual Space
Fuzzy Attribute Implications: Computing Non-redundant Bases Using Maximal Independent Sets
Multi-componential Emotion Recognition in VR Using Physiological Signals
Color Region Tracking Against Brightness Changes
On Caching for Local Graph Clustering Algorithms
Explainable Detection of Microplastics Using Transformer Neural Networks
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks
A Classification of Ontology Modification
Pareto Neuro-Ensembles
A Hybrid Multi-Agent Reinforcement Learning Framework for Decentralised Search-And-Interact Tasks Under Partial Observability
TrashTracer: Enabling Efficient Real-Time Detection of Underwater Marine Debris
Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment
The T-Detectors Maturation Algorithm Based on Genetic Algorithm
Towards Scalable Backpropagation-Free Gradient Estimation
Probabilistic Belief Contraction: Considerations on Epistemic Entrenchment, Probability Mixtures and KL Divergence
Advanced Topics in Artificial Intelligence, 12th Australian Joint Conference on Artificial Intelligence, AI '99, Sydney, Australia, December 6-10, 1999, Proceedings
Extending Dynamic Backtracking for Distributed Constraint Satisfaction Problems
Abnormal Behavior Detection for Early Warning of Terrorist Attack
Privacy-Centric Seizure Detection Using Surface Normals, Pose and Segmentation Masks
Evaluating Large Language Models for Real-World Engineering Tasks
Agent-Based Middleware for Web Service Dynamic Integration on Peer-to-Peer Networks
Pixel-Based Colour Image Segmentation Using Support Vector Machine for Automatic Pipe Inspection
Enhanced N-Gram Extraction Using Relevance Feature Discovery
An Improved Concurrent Search Algorithm for Distributed CSPs
Solving Partial Graph Matching as a Stable Matching Problem
Deterministic Tournament Selection in Local Search for Maximum Edge Weight Clique on Large Sparse Graphs
Predicting Generalization Error Under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient
An Agent-Based Ontological Approach for Information Reorganisation
Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification
Agent Services-Driven Plug-and-Play in F-TRADE
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models
A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks
Beat Induction and Rhythm Recognition
Evolving Modular Neural Networks Using Rule-Based Genetic Programming
On the Implementation of a Theory of Perceptual Mapping
An Enhanced Multi-Agent System with Evolution Mechanism to Approximate Physarum Transport Networks
Any-Cost Discovery: Learning Optimal Classification Rules
Efficient Learning of Bayesian Network Classifiers
A Comparative Study for Assessing the Reliability of Complex Networks Using Rules Extracted from Different Machine Learning Approaches
Learning Logic Programs with Local Variables from Positive Examples
Towards Goals in Informed Agent Negotiation
extraRelief: Improving Relief by Efficient Selection of Instances
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams
Finding the k in K-means Clustering: A Comparative Analysis Approach
An Ontology Formalization of Relation Type Hierarchy in Conceptual Structure Theory
A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples
Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators
A Novel Modeling and Recognition Method for Underwater Sound Based on HMT in Wavelet Domain
Learning Colours from Textures by Sparse Manifold Embedding
Local Search in Parallel Linear Genetic Programming for Multiclass Classification
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks
Concept Drift Detector Selection for Hoeffding Adaptive Trees
Restricted Echo State Networks
Integrating Reactive and Reflective Reasoning by Generating Rational Models
Bisimulation for Single-Agent Plausibility Models
Automatic Fingerprint Center Point Determination by Using Modified Directional Field and Morphology
A Real-Time Region-Based Motion Segmentation Using Adaptive Thresholding and K-Means Clustering
Abduction in PDT Logic
Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures
Knowledge in Context: A Strategy for Expert System Maintenance
Selection of Tasks and Delegation of Responsibility in a Multiagent System for Emergent Process Management
Efficient SAT Techniques for Relative Encoding of Permutations with Constraints
Multiclass Classification for GvHD Prognosis Prior to Allogeneic Stem Cell Transplantation
The Impact of Qualification on the Application of Qualitative Spatial and Temporal Reasoning Calculi
Temporal Extensions to Defeasible Logic
Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection
Effective Sampling for Mining Association Rules
Diversity Control in GP with ADF for Regression Tasks
A Robust Global Motion Estimation for Digital Video Stabilization
Longer-Term Memory in Clause Weighting Local Search for SAT
A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology
Resampling LDA/QR and PCA+LDA for Face Recognition
Prompting Instability: An Empirical Study of LLM Robustness in Code Vulnerability Detection
Meta-game Equilibrium for Multi-agent Reinforcement Learning
Optimising Pump Scheduling for Water Distribution Networks
SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis
Designing a Morphogenetic System for Evolvable Hardware
Fuzzy Modeling Incorporated with Fuzzy D-S Theory and Fuzzy Naive Bayes
River Flow Forecasting with Constructive Neural Network
Evolving Cooperation in the Spatial N-player Snowdrift Game
The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection
Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach
Vote Counting as Mathematical Proof
Sparse Approximation for Gaussian Process with Derivative Observations
Decision Making Strategy Based on Time Series Data of Voting Behavior
A New Approach for Concept-Based Web Search
Is Revision a Special Kind of Update?
Studies on Motion Control of a Modular Robot Using Cellular Automata
An Explainable Intelligence Model for Security Event Analysis
A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods
Particle Swarm Optimisation and Statistical Clustering for Feature Selection
Making it Up as they Go along: A Theory of Reactive Cooperation (Invited Paper)
Interaction-Oriented Programming: Concepts, Theories, and Results on Commitment Protocols
Engineering Evolutionary Algorithm to Solve Multi-objective OSPF Weight Setting Problem
Parallel Chaos Immune Evolutionary Programming
An Expert System for Recovering Broken Relics Using 3-D Information
Modelling Message Handling System
On-Line Model-Based Continuous State Reinforcement Learning Using Background Knowledge
English Article Correction System Using Semantic Category Based Inductive Learning Rules
Knowledge-Based Communication Processes in Building Design
MML Inference of Decision Graphs with Multi-way Joins
Balancing Parent and Offspring Selection in Genetic Programming
BDDRPA*: An Efficient BDD-Based Incremental Heuristic Search Algorithm for Replanning
Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling
Predicting Financial Literacy via Semi-supervised Learning
Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
Image Feature Selection Based on Ant Colony Optimization
Logistic Regression with the Nonnegative Garrote
Protein Structure Alignment Using Maximum Cliques and Local Search
A Compromised Large-Scale Neighborhood Search Heuristic for Cargo Loading Planning
Modelling More Realistic SAT Problems
Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure
Student Modelling in a Keyboard Scale Tutoring System
Simulation Analysis on Effective Operation of Handling Equipments in Automated Container Terminal
Restoring Punctuation and Casing in English Text
Improvement of HSOFPNN Using Evolutionary Algorithm
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
Counterfactuals, Cotenability and Consistency
Token Identification Using HMM and PPM Models
On Understanding Global Behavior of Teams in Robot Soccer Simulators
Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes
Language and Commonsense Knowledge
Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments
Adaptive Multi-agent Decision Making Using Analytical Hierarchy Process
Evolution of Multiple Tree Structured Patterns from Tree-Structured Data Using Clustering
Estimation of Unmasked Face Images Based on Voice and 3DMM
Phe-Q: A Pheromone Based Q-Learning
Anytime Column Search
Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach
Stereo-Vision-Support for Intelligent Vehicles - The Need for Quantified Evidence
Character Pattern Recognition on a Computational Neural Network
INDU: An Interval and Duration Network
Interpretable Drawing Psychoanalysis via House-Tree-Person Test
A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error
Cross Domain Pulmonary Nodule Detection Without Source Data
Arc Weights for Approximate Evaluation of Dynamic Belief Networks
Proactive Skill Posting in Referral Networks
A Constraint Optimization Framework for MultiAgent Anytime Scheduling
A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search
Designing Curriculum for Deep Reinforcement Learning in StarCraft II
Block-Structured Plan Deordering
MML Logistic Regression with Translation and Rotation Invariant Priors
Multicollinearity Correction and Combined Feature Effect in Shapley Values
Combining Heuristics and Simulation Models: An Expert System for the Optimal Management of Pigs
Clustering Household Electricity Use Profiles
Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models
Random Set to Interpret Topic Models in Terms of Ontology Concepts
Sampling of Large Probabilistic Graphical Models Using Arithmetic Circuits
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search
An Extension of the H-Search Algorithm for Artificial Hex Players
The Use of Expert Knowledge in the Selection of CIG Welding Consumables
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes
A Gradient-Based Metric Learning Algorithm for k-NN Classifiers
Restricted Higher-Order Anti-Unification for Analogy Making
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli
Switching between Reasoning and Search
Finding Similar Patterns in Microarray Data
A Simple Artificial Immune System (SAIS) for Generating Classifier Systems
The Ensemble Kalman Update Is an Empirical Matheron Update
Transformation between the EMYCIN Model and the Bayesian Network
Short-Text Similarity Measurement Using Word Sense Disambiguation and Synonym Expansion
Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML
Selection of Parameters in Building Fuzzy Decision Trees
An Intelligent Decision Making System to Support E-Service Management
A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria
Importance-Based Pruning for Genetic Programming Based Symbolic Regression
Street Depth-Aware Gaussian for Modeling Dynamic Urban Scenes
Bagging Ensemble Selection for Regression
Multi-agent Planning with Collaborative Actions
Taking Learning Out of Real-Time Heuristic Search for Video-Game Pathfinding
Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
Performance of Infeasibility Empowered Memetic Algorithm (IEMA) on Engineering Design Problems
Simple Default Reasoning in Theories of Action
The Application of Case Based Reasoning on Q&A System
Preferred Document Classification for a Highly Inflectional/Derivational Language
Predictive Representation Learning in Motif-Based Graph Networks
Exploring the Use of Case-Based Reasoning to Play Eurogames
Using Multiple Classification Ripple Down Rules for Intelligent Tutoring System's Knowledge Acquisition
An Empirical Evaluation of Job Classification Using Online Job Advertisements
Integrating Knowledge Acquisition and Performance Systems
Online Machine Learning for Real-Time Cell Culture Process Monitoring
On the Krom Extension of CFDI ^∀ -_nc
Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science
A Defeasible Logic of Policy-Based Intention
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious
Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss
Distribution Based Data Filtering for Financial Time Series Forecasting
Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data
Aggregation Trade Offs in Family Based Recommendations
Mining Domain-Driven Correlations in Stock Markets
Predicting Graph Structure via Adapted Flux Balance Analysis
Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems
FANRE: A Fast Adaptive Neural Regression Estimator
Combining Bayesian Networks, k Nearest Neighbours Algorithm and Attribute Selection for Gene Expression Data Analysis
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Natural Landmark Based Navigation
IC 2 : An Interval Based Characteristic Concept Learner
A Novel Particle Swarm Optimization for Constrained Optimization Problems
A Machine Vision System with Learning Capabilities
A Within-Frame Ontological Extension on FrameNet: Application in Predicate Chain Analysis and Question Answering
Signal Selection for Sleep Apnea Classification
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory
On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity
New Options for Hoeffding Trees
Active Learning for kNN Using Instance Impact
Autonomous Recognition of Collective Behaviour in Robot Swarms
Predicting the Rank of Trending Topics
The Application of AI to Automatically Generated Animation
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games
An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting
Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization
Axiomatic Analysis of Negotiation Protocols
Applications of Wavelet Transform and Artificial Neural Networks to Pattern Recognition for Environmental Monitoring
Using Design Information to Identify Structural Software Faults
Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment
High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems
Generating Collective Motion Behaviour Libraries Using Developmental Evolution
Enabling Agent Oriented Programming Using CORBA-Based Object Interconnection Technology for Ubiquitous Computing
An Evolutionary Approach for Clustering User Access Patterns from Web Logs
Dominant and Recessive Genes in Evolutionary Systems Applied to Spatial Reasoning
A New Hybrid Genetic Algorithm for the Robust Graph Coloring Problem
Workshop on Machine Learning for Sensory Data Analysis, MLSDA '13, Dunedin, New Zealand, December 2, 2013
Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory
GAN-Assisted YUV Pixel Art Generation
Hybrid Agglomerative Clustering for Large Databases: An Efficient Interactivity Approach
Examining Average and Discounted Reward Optimality Criteria in Reinforcement Learning
Revisiting Bagging for Stochastic Algorithms
Discovering Granger-Causal Features from Deep Learning Networks
Multiple Face Tracking Using Kalman Estimator Based Color SSD Algorithm
Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm
Cooperative Learning in Self-Organizing E-Learner Communities Based on a Multi-Agents Mechanism
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls
MML Invariant Linear Regression
A Malay Stemmer for Jawi Characters
On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems
Multiple Kernel Learning with One-Level Optimization of Radius and Margin
A Case Study in Deterministic Prolog
Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm
An Efficient Similarity Measure for Clustering of Categorical Sequences
An Operational Semantics for a PRS-Like Agent Architecture
Semiring-Valued Satisfiability
A Tableaux System for Deontic Interpreted Systems
A Probabilistic Least Squares Approach to Ordinal Regression
A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections
AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings
A Novel Approach to Time Series Complexity via Reservoir Computing
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis
Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs