yusuke1997/dblp-id-title huggingface dataset:
Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data
Edge and Corner Extraction Using Particle Swarm Optimisation
Reasoning About Hybrid Systems Based on a Nonstandard Model
Practical Bias Variance Decomposition
Active Continual Learning: On Balancing Knowledge Retention and Learnability
An Incremental Nonlinear Dimensionality Reduction Algorithm Based on ISOMAP
Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features
Temporal Belief-Change: kappa -functions Approach
Genetic Programming for Classification: An Analysis of Convergence Behaviour
Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks
A Genetic Algorithm for Integration of Process Planning and Scheduling in a Job Shop
Linear Genetic Programming for Multi-class Object Classification
Online Semi-supervised Learning in Contextual Bandits with Episodic Reward
Phased Array Sub-beam Optimisation
Automatic Generation of Funny Cartoons Diary for Everyday Mobile Life
Robust Character Recognition Using a Hierarchical Bayesian Network
A Two Tiered Finite Mixture Modelling Framework to Cluster Customers on EFTPOS Network
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem
Non Sub-sampled Contourlet Transform Based Feature Extraction Technique for Differentiating Glioma Grades Using MRI Images
Multiple Classifier Object Detection with Confidence Measures
A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners
Learning Polytrees with Constant Number of Roots from Data
Agent-Based Plot Planning for Automatic Generation of Computer Animation
Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification
A CNF Formula Hierarchy over the Hypercube
Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification
Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features
Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning
Applying Image Pre-processing Techniques for Appearance-Based Human Posture Recognition: An Experimental Analysis
Comparing Three Data Representations for Music with a Sequence-to-Sequence Model
Processing Coordinated Structures in PENG Light
An Optimality Principle for Concurrent Systems
Enhancing MML Clustering Using Context Data with Climate Applications
Web Data Mining and Reasoning Model
Application of OWA Based Classifier Fusion in Diagnosis and Treatment offering for Female Urinary Incontinence
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation
Automated On-Vehicle Road Defect Data Collection and Detection
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data
Exploring the Use of Big Data Analytics for Improving Support to Students in Higher Education
Understanding Document Data Sources Using Ontologies with Referring Expressions
A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem
Applications of the Ecological Visualization System Using Artificial Neural Network and Mathematical Analysis
A Deterministic Actor-Critic Approach to Stochastic Reinforcements
On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps
Can Shallow Semantic Class Information Help Answer Passage Retrieval?
How Questions Guide Choices: A Preliminary Logical Investigation
Automatic Dialogue Segmentation Using Discourse Chunking
Superpixel Attack - Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas
Hazardous Document Detection Based on Dependency Relations and Thesaurus
A Formal Method Toward Reasoning About Continuous Change
Collaborative-Comparison Learning for Complex Event Detection Using Distributed Hierarchical Graph Neuron (DHGN) Approach in Wireless Sensor Network
Graph-Based Collaborative Filtering Using Rating Nodes: A Solution to the High Ratings/Low Ratings Problem
Autonomous Vehicle Constrained Path Planning Using Opal for Dynamic Networks
Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation
Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting
Machine Learning Algorithms in Application to COVID-19 Severity Prediction in Patients
Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function
An Analysis of Three Puzzles in the Logic of Intention
Pattern-Based Trading by Continual Learning of Price and Volume Patterns
Association Rule Discovery with Unbalanced Class Distributions
Room Envelopes: A Synthetic Dataset for Indoor Layout Reconstruction from Images
Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts
Axiomatic Approach of Knowledge Granulation in Information System
Environment Mapping with a Mobile Robot Using Sonar
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation
The T-SOM (Tree-SOM)
Sequence Unlearning for Sequential Recommender Systems
AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part II
A Robust Face Recognition System
Pattern Taxonomy Mining for Information Filtering
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
Pattern Discovery in Probabilistic Databases
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries
The Flux-Oriented Control of an Induction Machine Utilizing an Online Controller Parameter Adaptation Scheme
An Integer Linear Programming Model for Binary Knapsack Problem with Dependent Item Values
Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
Intelligent Control of Mobile Agent Based on Fuzzy Neural Network in Intelligent Robotic Space
Clustering Algorithms for ITS Sequence Data with Alignment Metrics
Model Updating CTL Systems
Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling
Toward a Unified Framework for RGB and RGB-D Visual Navigation
Race Car Chassis Tuning Using Artificial Neural Networks
LEXA: Towards Automatic Legal Citation Classification
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach
A Real-Time Knowledge-Based System for Frequency Management in Communications
Adaptive Constraint Restoration and Error Analysis Using a Neural Network
Supraclassical Consequence Relations - Tolerating Rare Counterexamples
Unbounded Knowledge Acquisition Based upon Mutual Information in Dependent Questions
Gemini: A Dual-Task Co-training Model for Partial Label Learning
Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms
A Comparative Study of CMA-ES on Large Scale Global Optimisation
Enhancing RAG System Performance Through Semantic Layout Chunking
Logical Properties of Belief-Revision-Based Bargaining Solution
Evolution in the Orange Box - A New Approach to the Sphere-Packing Problem in CMAC-Based Neural Networks
DISSOLVE: A System for the Generation of Human Oriented Solutions to Algebraic Equations
An Implementation and Experimental Evaluation of a Modularity Explicit Encoding Method for Neuroevolution on Complex Learning Tasks
Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification
Deep Learning for Classification of Malware System Call Sequences
Kernels Based on Distributions of Agreement Subtrees
Explainable Network Intrusion Detection Using External Memory Models
Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
Computational Imagination: Research Agenda
Vehicle Detection Based on Cascade Deep Learning Method Using Deformed Oriented Bounding Box
Opponent's Style Modeling Based on Situations for Bayesian Poker
Discovery of Emerging Patterns and Their Use in Classification
Adaptive Multiagent Reinforcement Learning with Non-positive Regret
Multi-item Fuzzy Inventory Model with Three Constraints: Genetic Algorithm Approach
Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images
An ACO Algorithm for the Most Probable Explanation Problem
A Labelled Sequent System for Tense Logic K t
A Virtual Prolog Approach to Implementing Beliefs, Desires and Intentions in Animat Agents
Distance-Based Feature Selection on Classification of Uncertain Objects
Behavioural Equivalence of Game Descriptions
Speeding Up Bipartite Graph Visualization Method
Multi-agent System Simulating Tumoral Cells Migration
Inductive Properties of States
Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks
Online K-Means Clustering with Lightweight Coresets
Comprehensive Quality-Aware Automated Semantic Web Service Composition
A Propositional Plausible Logic
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems
TripletResNet: A Deep Metric Learning Approach for mTBI Diagnosis from 3D CT
A Robust SVM Design for Multi-class Classification
Towards Compiling Textbooks from Wikipedia
Prediction of Polysomnographic Measurements
Exploring Transformers for Intruder Detection in Complex Maritime Environment
Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets
A Neural Network Online Training Algorithm Based on Compound Gradient Vector
CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases
Learning Action Selection Network of Intelligent Agent
Simulation of Human Motion for Learning and Recognition
Investigating Japanese Ijime (Bullying) Behavior Using Agent-Based and System Dynamics Models
Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
Modeling Ice Storm Climatology
An Investigation into Applying Support Vector Machines to Pixel Classification in Image Processing
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation
Causal Discovery with Prior Information
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values
OWL, Proteins and Data Integration
DIKEA: Domain-Independent Keyphrase Extraction Algorithm
Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem
Topical Analysis for Identification of Web Communities
Stable Feature Selection with Support Vector Machines
A Knowledge-Based System for Workflow Management Using the World Wide Web
Little Models, Big Results
Diverse Audio-to-Video GAN using Multiscale Image Fusion
Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
A Hybrid Recommendation Approach for One-and-Only Items
A Genetic Algorithm for Job Shop Scheduling with Load Balancing
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling
Vision-Based Abnormal Action Dataset for Recognising Body Motion Disorders
WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas
Why (A Kind of) AI Can't Be Done
Predicting the Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences
Spreading Design Patterns with Semantic Web Technologies
Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning
Finding ALL Answers to OBDA Queries Using Referring Expressions
Web Site Improvements Based on Representative Pages Identification
A Model of Unconstrained Digit Recognition Based on Hypothesis Testing and Data Reconstruction
A Personalized Recommendation System for Electronic Program Guide
Learning Preferences in Additive Separable Hedonic Project Games
Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning
Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring
A New Supervised Term Ranking Method for Text Categorization
Deeper Insights into Neural Nets with Random Weights
Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic
Constructing an Intelligent Multi-Agent Workflow System
A Computational Framework for Autonomous Self-repair Systems
Genetic Scheduling on Minimal Processing Elements in the Grid
AI 2013: Advances in Artificial Intelligence - 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings
Monthly Rainfall Categorization Based on Optimized Features and Neural Network
A Comparison of Neural-Based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imagery
Query Expansion Powered by Wikipedia Hyperlinks
Understanding the Pheromone System Within Ant Colony Optimization
Speeding Up Weighted Constraint Satisfaction Using Redundant Modeling
Neuromuscular-Like Control for an Artificial Finger with SMA Actuators
Knowledge Discovery Using Concept-Class Taxonomies
Fast Object Detection with Foveated Imaging and Virtual Saccades on Resource Limited Robots
Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold?
A Study on Time-of-Day Patterns for Internet User Using Recursive Partitioning Methods
Proving Quantified Literals in Defeasible Logic
Propositionalisation of Multi-instance Data Using Random Forests
An Empirical Study of a Simple Naive Bayes Classifier Based on Ranking Functions
Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis
Dempster Conditioning and Conditional Independence in Evidence Theory
Building a More Accurate Classifier Based on Strong Frequent Patterns
One Shot Associative Memory Method for Distorted Pattern Recognition
Moving Object Detecting Using Gradient Information, Three-Frame-Differencing and Connectivity Testing
Memory-Based Explainable Reinforcement Learning
WeightRelay: Efficient Heterogeneous Federated Learning on Time Series
An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation
Specification Morphisms for Nonmonotonic Knowledge Systems
A Comparison of BDI Based Real-Time Reasoning and HTN Based Planning
Capability Based Natural Language Understanding
A Comparative Study for WordNet Guided Text Representation
An Infrastructure for Agent Collaboration in Open Environments
A Temporal Relational Calculus
Constraints from STRIPS - Preliminary Report
Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture
Data Clustering and Visualization Using Cellular Automata Ants
Exploiting Innocuousness in Bayesian Networks
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent
Extended Full Computation-Tree Logic with Sequence Modal Operator: Representing Hierarchical Tree Structures
Shaping Interactive Marketing Communication (IMC) Through Social Media Analytics and Modelling
Image Processing of Finite Size Rat Retinal Ganglion Cells Using Multifractal and Local Connected Fractal Analysis
Multinomial Naive Bayes for Text Categorization Revisited
A Novel Clustering Algorithm Based on Immune Network with Limited Resource
Practical Gaze Point Computing Method by 3D Position Estimation of Facial and Eye Features
Unsupervised One-Shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture
A Template Matching Table for Speeding-Up Game-Tree Searches for Hex
Learning Functional Argument Mappings for Hierarchical Tasks from Situation Specific Explanations
Extracting Minimum Unsatisfiable Cores with a Greedy Genetic Algorithm
Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection
Semantic Integration of Databases Using Linguistic Knowledge
A Framework for Disambiguation in Ambiguous Iconic Environments
Translating Novelty of Business Model into Terms of Modal Logics
An Adaptive Learning Algorithm Aimed at Improving RBF Network Generalization Ability
Customer Online Shopping Behaviours Analysis Using Bayesian Networks
A Logical Framework for Inductive Inference and Its Rationality
Solving a Constraint Satisfaction Problem for Frequency Assignment in Low Power FM Broadcasting
Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem
Representation Results for Default Logics
Disconcepts and Fuzzy Cognitive Maps
A Negotiation Agent
Evolutionally Optimized Fuzzy Neural Networks Based on Fuzzy Relation Rules and Evolutionary Data Granulation
Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach
An Object Store Model for Diagnosing Java Programs
Parallel Monte Carlo Tree Search Scalability Discussion
LPForget: A System of Forgetting in Answer Set Programming
Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games
A Pruning Technique to Discover Correlated Sequential Patterns in Retail Databases
Using Probabilistic Feature Matching to Understand Spoken Descriptions
DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms
Constraint-Based Multi-agent Path Planning
Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values
Gaussian Alignment for Relative Camera Pose Estimation via Single-View Reconstruction
A Preliminary Investigation of a Linguistic Perceptron
Strategic Behavior-Based Reasoning with Dynamic, Partial Information
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation
Improving Representation in Benchmarking of Binary PSO Algorithms
Using Attack-Specific Feature Subsets for Network Intrusion Detection
TATM: A Trust Mechanism for Social Traders in Double Auctions
Trust in Secure Communication Systems - The Concept, Representations, and Reasoning Techniques
Investigation of Unsupervised Models for Biodiversity Assessment
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies
A Lagrangian Relaxation Based Heuristic for Solving the Length-Balanced Two Arc-Disjoint Shortest Paths Problem
Implementing Iterated Belief Change Via Prime Implicates
De Novo Molecular Generation with Stacked Adversarial Model
Noise Tolerance of EP-Based Classifiers
Target Word Selection for Korean Verbs Using a Bilingual Dictionary and WordNet
Artificial Prediction Markets for Clustering
Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection
Dynamic Games to Assess Network Value and Performance
Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification
Forecasting Monthly Rainfall in the Western Australian Wheat-Belt up to 18-Months in Advance Using Artificial Neural Networks
Uniform Interpolation for ALC \mathcal{ALC} Revisited
A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment
Discriminating Against New Classes: One-class versus Multi-class Classification
On Possibilistic Case-Based Reasoning for Selecting Partners in Multi-agent Negotiation
Applying Indiscernibility Attribute Sets to Knowledge Reduction
A Study of Provability in Defeasible Logic
Frame-Based Dialogue Management Automated Error Recovery Approach
Human-Autonomous Teaming Framework Based on Trust Modelling
A Two-Stage Region-Based Image Retrieval Approach Using Combined Color and Texture Features
A Vision System for Partially Occluded Landmark Recognition
Finding Worst-Case Instances of, and Lower Bounds for, Online Algorithms Using Genetic Algorithms
A Self-Organizing Territorial Approach to Multi-robot Search and Surveillance
Information Filtering for Context-Sensitive Browsing
Ant Colonies Discover Knight's Tours
GPT-4 Attempting to Attack AI-Text Detectors
Conjunctive Query Answering in CFD nc : A PTIME Description Logic with Functional Constraints and Disjointness
Adaptation Knowledge from the Case Base
Estimating Episodes of Care Using Linked Medical Claims Data
Diversified Late Acceptance Search
Sequential Single-Cluster Auctions for Robot Task Allocation
Social Co-ordination among Autonomous Problem-Solving Agents
Automated Information Mediator for HTML and XML Based Web Information Delivery Service
Contradictions and Revisions as Explanatory Aids in the Delivery of Technical Information
Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems?
On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes
AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part I
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
EyeDentify: A Deep Learning Approach to Non-invasive Biometric Identification from Eye Blink Patterns
A Differentially Private Random Decision Forest Using Reliable Signal-to-Noise Ratios
Indexing of Image Databases Using Untrained 4D Holographic Memory Model
Bayesian Optimisation for Objective Functions with Varying Smoothness
A Formal Embedding of AgentSpeak(L) in 3APL
Product Recommendations for Cross-Selling in Electronic Business
Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search
Guided Rule Discovery in XCS for High-Dimensional Classification Problems
AI 2002: Advances in Artificial Intelligence, 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, December 2-6, 2002, Proceedings
Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions
An Evolutionary Approach for the Design of Autonomous Underwater Vehicles
Advances in Local Search for Satisfiability
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble
A Move Generating Algorithm for Hex Solvers
Reasoning over OWL/SWRL Ontologies under CWA and UNA for Industrial Applications
Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm
Contextual Importance and Utility: A Theoretical Foundation
Agent-Based Collaborative System and Case-Based Conflict Resolution Process in Preliminary Ship Design
DINE: A Framework for Deep Incomplete Network Embedding
Clustering Categorical Data Using Qualified Nearest Neighbors Selection Model
Database Normalization as a By-product of Minimum Message Length Inference
Fairness Aware Swarm-based Machine Learning for Data Streams
Similarity Matching of Computer Science Unit Outlines in Higher Education
Planning with Noisy Actions
Automatic Han Chinese Folk Song Classification Using Extreme Learning Machines
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques
Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes
The Virtual Reality Brain-Computer Interface System for Ubiquitous Home Control
Constraint-Guided Local Search for Single Mixed-Operation Runway
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I