yusuke1997/dblp-id-title huggingface dataset:
Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming
Fast Sub-window Search with Square Shape
A Prompting Framework to Enhance Language Model Output
Constraint-Based Mining of Web Page Associations
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach
Combined Pattern Mining: From Learned Rules to Actionable Knowledge
Inconsistency-Based Strategy for Clarifying Vague Software Requirements
Belief Revision with Dishonest Reports
Virtual Attribute Subsetting
Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach
Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences
Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances
A Constructive Artificial Chemistry to Explore Open-Ended Evolution
A Comparative Study of Information-Gathering Approaches for Answering Help-Desk Email Inquiries
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III
Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty
Boosted Self-evolving Neural Networks for Pattern Recognition
Using Topic Models to Interpret MEDLINE's Medical Subject Headings
Approximate Document Outlier Detection Using Random Spectral Projection
A Framework for the Evaluation of Methods for Road Traffic Assignment
Bidirectional Dependency Representation Disentanglement for Time Series Classification
Semi-Automatic Construction of Metadata from a Series of Web Documents
A Hybrid Adaptive Multi-objective Memetic Algorithm for 0/1 Knapsack Problem
Generating States of Joint Commitment between Autonomous Agents
Fast Multi-view Graph Kernels for Object Classification
A Maximum Entropy Model for Transforming Sentences to Logical Form
Adjusted Probability Naive Bayesian Induction
Comprehensive Influence Propagation Modelling for Hybrid Social Network
Coordinate-Free k-Means Clustering
Fitness Approximation in Estimation of Distribution Algorithms for Feature Selection
An Intelligent Agent-Based Framework for Collaborative Information Security
DMCS: Dual-Model Classification System and Its Application in Medicine
A Fuzzy Inference Method for Spam-Mail Filtering
A System for Modal and Deontic Defeasible Reasoning
An Artificially Intelligent Sports Tipper
Humor Prevails! - Implementing a Joke Generator into a Conversational System
Applied Partial Constraint Satisfaction Using Weighted Iterative Repair
A Generative Deep Learning for Generating Korean Abbreviations
Visual Human-Machine Interaction
A Novel Approach for Simplifying Neural Networks by Identifying Decoupling Inputs
Ride-Sharing: A Multi Source-Destination Path Planning Approach
A Personal Locating System Using the Vision-Based Augmented Reality
KPCR: Knowledge Graph Enhanced Personalized Course Recommendation
A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions Using Autoencoders and Swarm Optimization
Computer Aided Diagnosis of ADHD Using Brain Magnetic Resonance Images
A Neuro-fuzzy Inference System for the Evaluation of New Product Development Projects
Mining Maximal Frequent ItemSets Using Combined FP-Tree
Path Algebra for Mobile Robots
DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB
Model-Based Viewpoint Invariant Human Activity Recognition from Uncalibrated Monocular Video Sequence
Categorizing Software Engineering Knowledge Using a Combination of SWEBOK and Text Categorization
Epistemic Reasoning in Computational Machine Ethics
The Car-Sequencing Problem as n-Ary CSP - Sequential and Parallel Solving
Calibration of Flow and Water Quality Modeling Using Genetic Algorithm
Finger Track - A Robust and Real-Time Gesture Interface
A Dynamic Self-Organizing E-Learner Communities with Improved Multi-agent Matchmaking Algorithm
Evolutionary Optimisation of Distributed Energy Resources
Insurance Services in Multi-agent Systems
Multi-objective Optimisation of Power Restoration in Electricity Distribution Systems
A Novel License Plate Location Method Based on Neural Network and Saturation Information
ALE Defeasible Description Logic
Fuzzy Adaptive Artificial Fish Swarm Algorithm
Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV
Multiple Teacher Model for Continual Test-Time Domain Adaptation
Preprocessing Time Series Data for Classification with Application to CRM
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Selective Data Masking Design in Intelligent Knowledge Capsule for Efficient Data Mining
Machine Learning for Time Interval Petri Nets
Link Prediction via Factorization Machines
Mapping Dryland Salinity Using Neural Networks
The Consensus Paradox: When Low Disagreement Leads to Catastrophic Failure in Multi-teacher Reinforcement Learning
On the Use of Matrix Based Representation to Deal with Automatic Composer Recognition
DataCon: Easier Data Sharing, Exploration, and Fusion with Automatic Metadata Generation
A Simulation Based Multi-criteria Scheduling Approach of Dual-Resource Constrained Manufacturing Systems with Neural Networks
Exploring Unknown Universes in Probabilistic Relational Models
MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes
A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks
Predicting the Distribution of Discrete Spatial Events Using Artificial Neural Networks
Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction
A One-Shot Learning Approach to Image Classification Using Genetic Programming
An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction
Actions Made Explicit in BDI
Adaptive Image Classification for Aerial Photo Image Retrieval
Classification of EEG for Affect Recognition: An Adaptive Approach
Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule
TalkBack: Feedback from a Miniature Robot
cFedLAD: A Clustered Additive LoRA Framework for Robust and Personalized Federated Learning
Automating Marine Mammal Detection in Aerial Images Captured During Wildlife Surveys: A Deep Learning Approach
A Fast Visual Search and Recognition Mechanism for Real-Time Robotics Applications
Learning and Recognition of 3D Visual Objects in Real-Time
Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection
A Fixed-Point Property of Logic-Based Bargaining Solution
An Integrated Federated Learning and Meta-Learning Approach for Mining Operations
Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning
Classification of Bio-data with Small Data Set Using Additive Factor Model and SVM
Complex Analogies: Remarks on the Complexity of HDTP
Knowledge Generation for Improving Simulations in UCT for General Game Playing
Does Multi-user Document Classification Really Help Knowledge Management?
Software Verification of Redundancy in Neuro-Evolutionary Robotics
A Novel Nearest Neighbor Classifier Based on Adaptive Nonparametric Separability
HESIP: A Hybrid System for Explaining Sub-symbolic Predictions
Modelling-Alignment for Non-random Sequences
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections
Classification Models in Intensive Care Outcome Prediction - Can We Improve on Current Models?
Implementing Propositional Networks on FPGA
Artificial Neural Network: Deep or Broad? An Empirical Study
A Proposal of Generating Artistic Japanese Calligraphic Fonts
Hardware Implementation of Temporal Nonmonotonic Logics
Improving the Mobile Phone Habitat - Learning Changes in User's Profiles
Improving Authorship Attribution in Twitter Through Topic-Based Sampling
From Association Analysis to Causal Discovery
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach
Experiments in Query Paraphrasing for Information Retrieval
A Semiotic Model of Communication and Its Implications for the Digital City Development
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation
Hierarchical and Feed-Forward Fuzzy Logic for Financial Modelling and Prediction
A Flexible Framework for SharedPlans
Analytical Results on the BFS vs. DFS Algorithm Selection Problem. Part I: Tree Search
Wrapping Boosters against Noise
Assignment Precipitation in Fail First Search
Assessing Algorithmic Fairness in Socioeconomic Predictions Using Australian Census Data
Adjusting Dependence Relations for Semi-Lazy TAN Classifiers
Dynamic Team Forming in Self-interested Multi-agent Systems
Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts
Distributed Planning and Control for Manufacturing Operations
Learning Motion Detectors by Genetic Programming
Domain-Adaptive Conversational Agent with Two-Stage Dialogue Management
Improved Defect Detection Using Novel Wavelet Feature Extraction Involving Principal Component Analysis and Neural Network Techniques
An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets
Towards Search Node-Specific HTN Heuristics
Immune Clonal Selection Algorithm for Multiuser Detection in DS-CDMA Systems
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Partitional Approach for Estimating Null Value in Relational Database
Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem
Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment
The Problem of Missing Values in Decision Tree Grafting
Fast Candidate Generation for Template Matching Using Two 1-D Edge Projections
Executability in the Situation Calculus
Learning to Find Relevant Biological Articles without Negative Training Examples
XCSR with Computed Continuous Action
Learning Object Representations Using Sequential Patterns
Efficient Multiple Query Answering in Switched Probabilistic Relational Models
BP Learning and Numerical Algorithm of Dynamic Systems
An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms
Using Machine Learning Techniques to Combine Forecasting Methods
Bayesian Parametric Proportional Hazards Regression with the Fused Lasso
Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals
Skeleton Driven Limb Animation Based on Three-Layered Structure
A Method to Avoid Duplicative Flipping in Local Search for SAT
Investigating Learning Parameters in a Standard 2-D SOM Model to Select Good Maps and Avoid Poor Ones
A Novel Recommending Algorithm Based on Topical PageRank
Efficiently Finding Negative Association Rules Without Support Threshold
A Fuzzy Decision Support System for Garment New Product Development
Preferential Semantics for Causal Fixpoints
Simulations for Comparing Knowledge Acquisition and Machine Learning
Information Extraction to Improve Standard Compliance - The Case of Clinical Handover
A Nephelometric Tactile Sensor
Dynamic Variable Filtering for Hard Random 3-SAT Problems
An Investigation of an Adaptive Poker Player
Generation of Ethical Rules Using Large Language Models
Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features
Cost-Sensitive Decision Trees with Multiple Cost Scales
Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search
Machine Learning Approach to Realtime Intrusion Detection System
Partial Order Hierarchical Reinforcement Learning
Selecting Semantics for Use with Semantic Pruning of Linear Deductions
A Case-Based Strategy for Solution Synthesis among Cooperative Expert Systems
Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology
A Study of Fitness Gains in Evolving Finite State Machines
A Logic for Reasoning about Actions and Explicit Observations
A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding
A Language Independent n -Gram Model for Word Segmentation
Story Sifting Using Object Detection Techniques
Cancer Classification by Kernel Principal Component Self-regression
AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings
Confidence Relations as a Basis for Uncertainty Modeling, Plausible Reasoning, and Belief Revision
ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation
A New Approach to Use Concepts Definitions for Semantic Relatedness Measurement
An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation
PP-Pose: Privacy-Preserving Human Pose Estimation Using Random High-Frequency Channel Combinations
Tailoring Contact Based Scoring Functions for Protein Structure Prediction
Applications of Soft Computing for Musical Instrument Classification
Unsupervised Learning of Mutagenesis Molecules Structure Based on an Evolutionary-Based Features Selection in DARA
Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors
Context-Aware Recommender Systems Based on Item-Grain Context Clustering
Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering
Human Action Understanding Using Motion Verbs in WordNet
Collaborative Qualitative Environment Mapping
Bio-discretization: Biometrics Authentication Featuring Face Data and Tokenised Random Number
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning
Enhanced Temporal Difference Learning Using Compiled Eligibility Traces
Ingenious Product Form Co-design System for the Industry 4.0
Performance Analysis of Duty-Cycling Wireless Sensor Network for Train Localization
Augmentation and Transformation for Nighttime Cloud Segmentation in All-Sky Camera Images
Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems
Forecasting Monthly Rainfall in the Bowen Basin of Queensland, Australia, Using Neural Networks with Niño Indices
Evolving MCTS Macro-actions in Real-Time Domains
IPSOM: A Self-organizing Map Spatial Model of How Humans Complete Interlocking Puzzles
A New Spectral Smoothing Algorithm for Unit Concatenating Speech Synthesis
Color Quantization Using Modified Artificial Fish Swarm Algorithm
Learning a Generative Model for Structural Representations
Guardrail Guided Policy Optimisation: Learning Disentangled Safety Constraints
Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization
Parallelism in Nonmonotonic Multiple Inheritance Systems
Rough Association Mining and Its Application in Web Information Gathering
Time-Reversal in Conway's Life as SAT
Real-Time Prediction of Water Stage with Artificial Neural Network Approach
Using a Lexical Dictionary and a Folksonomy to Automatically Construct Domain Ontologies
A Dynamic Approach for Detecting Naturalistic Affective States from Facial Videos during HCI
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods
The Effects of Material, Tempo and Search Depth on Win-Loss Ratios in Chess
The Effect of Mutation on the Accumulation of Information in a Genetic Algorithm
MML Classification of Music Genres
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
TreeWrapper: Automatic Data Extraction Based on Tree Representation
Clustering Large Datasets Using Cobweb and K-Means in Tandem
A Tri-level Programming Framework for Modelling Attacks and Defences in Cyber-Physical Systems
Reconsidering Fitness and Covergence in Co-evolutionary Design
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm
Incremental Projection Vector Machine: A One-Stage Learning Algorithm for High-Dimension Large-Sample Dataset
RDL: Enhancing Description Logic with Rules
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers
An Intelligent Gas Concentration Estimation System Using Neural Network Implemented Microcontroller
Ensemble Approach for the Classification of Imbalanced Data
Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Resource-Sensitive Reasoning with Sequential Information
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
k -Nearest Neighbors Associative Memory Model for Face Recognition
Application of Bayesian Techniques for MLPs to Financial Time Series Forecasting
MFiSP: A Multimodal Fire Spread Prediction Framework
A Logical Framework of Bargaining with Integrity Constraints
Robust Lasso Regression with Student-t Residuals
A Global Search Algorithm for Attributes Reduction
A Decision Tree Approach to Sentence Chunking
Introspective Forgetting
A Two Level Local Search for MAX-SAT Problems with Hard and Soft Constraints
Selection for Feature Gene Subset in Microarray Expression Profiles Based on an Improved Genetic Algorithm
Partially Automated Literature Screening for Systematic Reviews by Modelling Non-Relevant Articles
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification
Sampling Methods in Genetic Programming for Classification with Unbalanced Data
Augmented Spatial Pooling
Meta-mining Evaluation Framework: A Large Scale Proof of Concept on Meta-learning
Optimizing the Feature Set for Machine Learning Charitable Predictions
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality
A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions
A Tweet Classification Model Based on Dynamic and Static Component Topic Vectors
A Self-adaptive Framework for Efficient Cell Detection and Segmentation in Histopathological Images with Minimal Expert Input
Planning as Satisfiability with Relaxed $-Step Plans
Design of Intelligent Security Management System Using Simulation-Based Analysis
DE/isolated/1: A New Mutation Operator for Multimodal Optimization with Differential Evolution
Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study
Characterizing Relevant Belief Revision Operators
Causal Discovery of Dynamic Bayesian Networks
Distributed Genetic Algorithm on GraphX
A Stochastic Approach to Tracking Objects Across Multiple Cameras
An Adaptive Approach for QoS-Aware Web Service Composition Using Cultural Algorithms
Neural Network Learning Using Low-Discrepancy Sequence
UAV Controller Design Using Evolutionary Algorithms
Growing Neural Gas Video Background Model (GNG-BM)
Some Logics of Belief and Disbelief
A Comparison of Evolutionary Methods for the Discovery of Local Search Heuristics
AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part II
Knowledge Compilation for Belief Change
Branching Rules for Satisfiability Analysed with Factor Analysis
Logical Foundations for Reasoning about Trust in Secure Digital Communication
Scheduling for Optimal Response Times in Queues of Stochastic Workflows
Estimating Problem Metrics for SAT Clause Weighting Local Search
Foundations for a Formalism of Nearness
Argument Interpretation Using Minimum Message Length
Cost to Evaluate Versus Cost to Learn? Performance of Selective Evaluation Strategies in Multiobjective Optimization
Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems
User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail
Experiences in Developing an Intelligent Operator Guidance System
An Abstraction-Based Data Model for Information Retrieval
Verb Prediction and the Use of Particles for Generating Sentences in AAC System
Evaluation of Evolutionary Algorithms for Multi-objective Train Schedule Optimization
Virtual Roundabout Protocol for Autonomous Vehicles
Backbone of the p-Median Problem
Extraction of Shallow Language Patterns: An Approximation of Data Oriented Parsing
On the Relation between Interpreted Systems and Kripke Models
Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus
Head X: Customizable Audiovisual Synthesis for a Multi-purpose Virtual Head
Exploiting Ontological Structure for Complex Preference Assembly
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation
Extracting Structural Features Among Words from Document Data Streams
Feature Importance for Biomedical Named Entity Recognition
TSI: A Multi-view Representation Learning Approach for Time Series Forecasting
Range from Out of Focus Blur
Learning of Finite Unions of Tree Patterns with Internal Structured Variables from Queries
A Novel Statistical Method on Decision Table Analysis
Real-Time Lightweight 3D Hand-Object Pose Estimation Using Temporal Graph Convolution Networks
Combined Word-Spacing Method for Disambiguating Korean Texts
A Constraint Mechanism for Knowlege Specification of Simulation Systems Based on Temporal Logic
Data Extraction for Search Engine Using Safe Matching
An Efficient Segmentation Technique for Known Touching Objects Using a Genetic Algorithm Approach
Active Learning: Applying RinSCut Thresholding Strategy to Uncertainty Sampling
Exploiting the Beta Distribution-Based Reputation Model in Recommender System
Games with Ambiguous Payoffs and Played by Ambiguity and Regret Minimising Players
Formal Concept Analysis for Domain-Specific Document Retrieval Systems
Better Self-training for Image Classification Through Self-supervision
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II
Sensor-Based Robotic Automation of Mushroom Farming - Preliminary Considerations
Content-Based Classification of Images Using Centroid Neural Network with Divergence Measure
Min-Max Message Passing and Local Consistency in Constraint Networks
Vietnamese Document Representation and Classification
Using Fuzzy Logic for Decision Support in Vital Signs Monitoring
Hybrid Data Clustering Based on Dependency Structure and Gibbs Sampling
Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin
Exploring the Epistemic Labyrinth: New Directions in the Formal Theory of Knowledge Representation
Mining Large Patterns with Profit-Based Support in e-Commerce
Investigating Active Positive-Unlabeled Learning with Deep Networks
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
On the Violation of Circuits in Decomposable Negation Normal Form
Belief Erasure Using Partial Imaging
Object Detection by Admissible Region Search
Ontology Transformation in Multiple Domains
White and Color Noise Cancellation of Speech Signal by Adaptive Filtering and Soft Computing Algorithms
Safe Agents in Space: Lessons from the Autonomous Sciencecraft Experiment
Abduction without Minimality
From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga
Transfer of Pretrained Model Weights Substantially Improves Semi-supervised Image Classification
Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data
Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks
Composability in Cognitive Hierarchies
z-SVM: An SVM for Improved Classification of Imbalanced Data
Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
Prediction of User Preference in Recommendation System Using Associative User Clustering and Bayesian Estimated Value
Semantics for Pollock's Defeasible Reasoning