yusuke1997/dblp-id-title huggingface dataset:
LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning
Iterative Training Techniques for Phonetic Template Based Speech Recognition with a Speaker-Independent Phonetic Recognizer
Automatic Static Feature Generation for Compiler Optimization Problems
Verification of Multi-agent Systems Via Bounded Model Checking
Posterior Tracking Algorithm for Multi-objective Classification Bandits
Feature Extraction for Learning to Classify Questions
Measuring Language Complexity Using Word Embeddings
Improving the Presentation of Argument Interpretations Based on User Trials
A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems
Towards Automatic Image Segmentation Using Optimised Region Growing Technique
Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification
Simplified Support Vector Machines Via Kernel-Based Clustering
Autonomous Planning and Scheduling on the TechSat 21 Mission
A Proposal of an Efficient Crossover Using Fitness Prediction and Its Application
AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings
Ensemble Selection for SuperParent-One-Dependence Estimators
A Mechanism to Improve Efficiency for Negotiations with Incomplete Information
TrustGuard: IoT Intrusion Detection with XAI-Driven Feature Refinement for Enhanced Multi-class Edge Classification
Competitive Collaboration for Complex Task Learning in Agent Systems
Scaling up Multi-island Competitive Cooperative Coevolution for Real Parameter Global Optimisation
Agents, Information and Trust
A Bi-level Genetic Algorithm for Multi-objective Scheduling of Multi- and Mixed-Model Apparel Assembly Lines
Adapting Kernels by Variational Approach in SVM
Lateral AI: Simulating Diversity in Virtual Communities
Combining Contents and Citations for Scientific Document Classification
Efficient AUC Learning Curve Calculation
Automated Radiology Report Generation Using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety
Predicting Geological Material Types Using Ground Penetrating Radar
Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination
Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy
Strong Pseudorandom Bit Sequence Generators Using Neural Network Techniques and Their Evaluation for Secure Communications
Evaluating the Boundaries of Big Data Environments for Machine Learning
Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property - (Extended Abstract)
Constraint-Directed Backtracking
Normalized Gaussian Networks with Mixed Feature Data
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization
Dealing with Decision Costs in CBR in Medical Applications
LAPEFT: A Lexicon-Enhanced Approach to Parameter-Efficient Fine-Tuning for Financial News Sentiment Classification
What can Massively Parallel Architectures Bring to AI?
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
The Complexity of Logic Program Updates
Class Association Rule Mining with Multiple Imbalanced Attributes
Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory
A Multiagent Architecture for Privacy-Preserving ID-Based Service in Ubiquitous Computing Environment
Knowledge Sharing in Coalitions
GP for Object Classification: Brood Size in Brood Recombination Crossover
A Heuristic Search Approach to Find Contrail Avoidance Flight Routes
Novel Memetic Algorithm for Protein Structure Prediction
Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection
A Defeasible Logic for Clauses
Reports, Observations, and Belief Change
Modeling Abstract Behavior: A Dynamic Logic Approach
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design
Learning Parse-Free Event-Based Features for Textual Entailment Recognition
Sample Set Assessment for Providing Personalised Recommendations
A Novel Evolutionary Algorithm for Multi-constrained Path Selection
A Study of Factors Affecting Due Date Predictibility for On-Time Delivery in a Dynamic Job Shop
Evaluating Sparse Codes on Handwritten Digits
Maximal Matching for Double Auction
Automatic Wrapper Generation for Metasearch Using Ordered Tree Structured Patterns
PERCY: Personal Emotional Robotic Conversational System
Texture Detection Using Neural Networks Trained on Examples of One Class
Towards an Ontology of Part-of
Analysing Multiobjective Optimization Using Evolutionary Path Length Correlation
Hybrid Words Representation for Airlines Sentiment Analysis
A New Approach for Scientific Citation Classification Using Cue Phrases
Personal Authenticator on the Basis of Two-Factors: Palmprint Features and Tokenized Random Data
PLNet-12: A Vision-Language Benchmark for Zero-Shot Physical Literacy Analysis Across 12 Fundamental Movements
On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems
Minimum Message Length t-Test
Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection
Towards Fewer Parameters for SAT Clause Weighting Algorithms
Effectiveness of Syntactic Information for Document Classification
An Improved Probability Density Function for Representing Landmark Positions in Bearing-Only SLAM Systems
Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Length of Word N-Grams
Dynamic Negative Selection Algorithm Based on Match Range Model
Boosting Neural Networks in Real Worls Applications: An Empirical Study
On Why Discretization Works for Naive-Bayes Classifiers
New Perspectives for the Deep Learning Based Photography Aesthetics Assessment
Investigating the Effect of Incorporating Additional Levels in Structured Genetic Algorithms
Use of a Non-nested Formulation to Improve Search for Bilevel Optimization
Efficient Single-Pass Mining of Weighted Interesting Patterns
The 'Majority' and 'by Default' Modalities
Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals
Avoiding Local Minima in Feedforward Neural Networks by Simultaneous Learning
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
Emergence of Cooperation in a Bio-inspired Multi-agent System
Intrusion Detection Using Text Mining in a Web-Based Telemedicine System
Incorporating Pageview Weight into an Association-Rule-Based Web Recommendation System
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection
Decomposition of Multi-player Games
Proposal of Information Provision to Probe Vehicles Based on Distribution of Link Travel Time that Tends to Have Two Peaks
Constrained Grouped Sparsity
Decidability of Propositionally Quantified Logics of Knowledge
Temporal Conjunctive Queries in Expressive Description Logics with Transitive Roles
Fuzzy Classifier with Bayes Rule Consequent
Can Lethal Autonomous Robots Learn Ethics?
NRDR for the Acquisition of Search Knowledge
Normalized RBF Neural Network for Real-Time Detection of Signal in the Noise
A Novel Face Detector Based on YOLOv3
A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
Using Social Sensing to Validate Flood Risk Modelling in England
Representing Defeasible Constraints and Observations in Action Theories
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Clustering Similarity Comparison Using Density Profiles
Twin Bounded Large Margin Distribution Machine
Bayesian Grouped Horseshoe Regression with Application to Additive Models
DMAPP: A Distributed Multi-agent Path Planning Algorithm
Genetic Programming for Biomarker Detection in Mass Spectrometry Data
Learner's Self-Assessment: A Case Study of SVM for Information Retrieval
An Adaptive Activation Function for Higher Order Neural Networks
Monte Carlo Analysis of a Puzzle Game
Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat
Improving Distribution-Based Discrete Particle Swarm Optimization Using Lévy Flight
Robust Speaker Identification Based on t -Distribution Mixture Model
Nonlinear Time Series Prediction Based on Lyapunov Theory-Based Fuzzy Neural Network and Multiobjective Genetic Algorithm
Cognitive Impairment Prediction by Normal Cognitive Brain MRI Scans Using Deep Learning
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces
MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction
Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning
Metric SCSPs: Partial Constraint Satisfaction via Semiring CSPs Augmented with Metrics
Moments and Wavelets for Classification of Human Gestures Represented by Spatio-Temporal Templates
Towards Genetic Programming for Texture Classification
A Knowledge Based Simulation of Critical Incidents in Anaesthesia
An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph
AI 2011: Advances in Artificial Intelligence - 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings
Exploring a Learning Architecture for General Game Playing
On a Linear Representation Theory for Quantitative Belief Change
Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets
Feasibility of Optimised Disjunctive Reasoning for Approximate Matching
Towards General Game-Playing Robots: Models, Architecture and Game Controller
Using Automated Error Profiling of Texts for Improved Selection of Correction Candidates for Garbled Tokens
Causal Disentanglement for Adversarial Defense
New Feature Extraction Approaches for Face Recognition
Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
The Virtual Room Inhabitant - Intuitive Interaction with Intelligent Environments
Structure-Sensitive Learning of Text Types
Web Usage Mining Using Evolutionary Support Vector Machine
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
Structured Features from Concept Lattices for Unsupervised Learning and Classification
AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings
Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory
Bagging Ensemble Selection
Parameterising Bayesian Networks
Stability of Word Embeddings Using Word2Vec
Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data
Intelligent Face Recognition: Local Versus Global Pattern Averaging
A Novel Mutation Operator for Variable Length Algorithms
Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks
The Detrimentality of Crossover
Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models
Short-Term Solar Irradiance Forecasting from Future Sky Images Generation
Exploring Agent Cooperation: Studies with a Simple Pursuit Game
Guardrails, Not Guesswork: A Framework for Trustworthy AI Adoption
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search
Mining Generalised Emerging Patterns
A Parameterized Local Consistency for Redundant Modeling in Weighted CSPs
Color Texture Analysis Using Wavelet-Based Hidden Markov Model
Generality Evaluation of Automatically Generated Knowledge for the Japanese ConceptNet
Automatic Classification of Sensors in Buildings: Learning from Time Series Data
Answering Why-Questions Using Probabilistic Logic Programming
Vehicle Tracking and Traffic Parameter Extraction Based on Discrete Wavelet Transform
Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study
Using Fuzzy Logic to Mitigate the Effect of Multiple-Sclerosis Tremors on a Wheelchair Joystick Controller
The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games
DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy
Analytical Results on the BFS vs. DFS Algorithm Selection Problem: Part II: Graph Search
A Novel Approach for Improving Chronic Disease Outcomes using Intelligent Personal Health Records in a Collaborative Care Framework
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
Correlation between Genetic Diversity and Fitness in a Predator-Prey Ecosystem Simulation
Focus-Based Text Summarisation with Hybrid Embeddings
Modelling Partner's Behaviour in Agent Negotiation
An Online Competence-Based Concept Drift Detection Algorithm
Semantic Selection for Resolution in Clause Graphs
EBGM with Fuzzy Fusion on Face Recognition
User Behavior Analysis of the Open-Ended Document Classification System
Feature Selection with RVM and Its Application to Prediction Modeling
Modelling the Acquisition of Colour Words
Solving Overconstrained Temporal Reasoning Problems
AFFT: Adapter-Based Few-Shot Fine-Tuning Framework for Remote Sensing Object Detection
Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking
Optimizing Coupled Oscillators for Stability
Statistical Exploratory Analysis of Genetic Algorithms: The Influence of Gray Codes upon the Difficulty of a Problem
A Goal-Oriented Algorithm for Unification in ℇℒℋ R+ w.r.t. Cycle-Restricted Ontologies
Continuous Temporal Models
Information Extraction via Path Merging
The RegularGcc Matrix Constraint
Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions
An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling
Optimal Production Policy for a Two-Stage Production System Under Lumpy Demand
E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings
A Network-Based Rating Mechanism Against False-Name Attack
Normal Modal Preferential Consequence
Identification and Control of ITU Triga Mark-II Nuclear Research Reactor Using Neural Networks and Fuzzy Logic
REFINE on Scarce Data: Retrieval Enhancement Through Fine-Tuning via Model Fusion of Embedding Models
Fast Text Classification Using Sequential Sampling Processes
On a Mathematical Relationship Between the Fixed Point and the Closed Itemset in Association Rule Mining
Re-representation in a Logic-Based Model for Analogy Making
Legal Judgment Prediction Through Argument Analysis
An Analysis of Sub-swarms in Multi-swarm Systems
Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management
A System for Acquisition of Noun Concepts from Utterances for Images Using the Label Acquisition Rules
Neural Networks Fusion to Overlay Control System for Lithography Process
Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain
Collateral Missing Value Estimation: Robust Missing Value Estimation for Consequent Microarray Data Processing
Lifted Backward Search for General Game Playing
Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
Local Learning Algorithm for Markov Blanket Discovery
Multiagent Architecture (BlueAgents) with the Dynamic Pricing and Maximum Profit Strategy in the TAC SCM
Semi-Supervised Classification Using Tree-Based Self-Organizing Maps
Clustering Transactional Data Streams
Key Element Summarisation: Extracting Information from Company Announcements
Collecting Quality Data for Database Mining
Systematic Monotonicity and Consistency for Adversarial Natural Language Inference
Clone: Solving Weighted Max-SAT in a Reduced Search Space
Using Loops in Genetic Programming for a Two Class Binary Image Classification Problem
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Utilization of DBpedia Mapping in Cross Lingual Wikipedia Infobox Completion
Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement
Kernel Nonparametric Weighted Feature Extraction for Classification
Absorption for ABoxes and TBoxes with General Value Restrictions
Fuzzy Rank Linear Regression Model
Using Feature Filtering Metrics as Meta-dimensions in Constructing Distributional Representations
A Neural Networks Based Approach for Fast Mining Characteristic Rules
Convolutional Neural Networks for Image Processing: An Application in Robot Vision
Robust License Plate Segmentation Method Based on Texture Features and Radon Transform
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
Structure Detection System from Web Documents Through Backpropagation Network Learning
Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data
Priority-Based Traffic Management Protocols for Autonomous Vehicles on Road Networks
Embodying the JACK Agent Architecture
Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data
Using Gaussian Processes to Optimize Expensive Functions
Active Visual Learning and Recognition Using Incremental Kernel PCA
Adaptive Inference on Probabilistic Relational Models
FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack
Clustering Data Manipulation Method for Ensembles
Curvature Based Range Face Recognition Analysis Using Projection Vector by Subimage
First-Order Bayesian Reasoning
Towards User Profiling for Web Recommendation
Towards a Visually Enhanced Medical Search Engine
Predicting Shellfish Farm Closures with Class Balancing Methods
A Language Modeling Approach to Search Distributed Text Databases
Affect Detection from Virtual Drama
Quantitative Analysis of the Varieties of Apple Using Near Infrared Spectroscopy by Principal Component Analysis and BP Model
Neighborhood Re-structuring in Particle Swarm Optimization
An Examination of Probabilistic Value-Ordering Heuristics
Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System
AI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007, Proceedings
Improving the Centered CUSUMS Statistic for Structural Break Detection in Time Series
Protein Sequences Classification Using Modular RBF Neural Networks
Feature-Aware Factorised Collaborative Filtering
AI 2001: Advances in Artificial Intelligence, 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001, Proceedings
Reliable Unseen Model Prediction for Vocabulary-Independent Speech Recognition
A Novel Approach for Vendor Combination Selection in Supply Chain Management
Intention and Rationality for PRS-Like Agents
Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation
The MOA Data Stream Mining Tool: A Mid-Term Report
Feature Weighted Minimum Distance Classifier with Multi-class Confidence Estimation
DBSC: A Dependency-Based Subspace Clustering Algorithm for High Dimensional Numerical Datasets
A Knowledge Acquisition Tool for Decision Support Systems
Evaluating Techniques for Resolving Redundant Information and Specularity in Occupancy Grids
Symbolic Data Analysis to Improve Completeness of Model Combination Methods
Model Based Abnormal Acoustic Source Detection Using a Microphone Array
Comparison of Numeral Strings Interpretation: Rule-Based and Feature-Based N-Gram Methods
Predicting Trading Signals of Stock Market Indices Using Neural Networks
Plan Execution in a Hostile Dynamic Environment
Game Description Language Compiler Construction
Improving Evolutionary Generative Adversarial Networks
Does a Compromise on Fairness Exist in Using AI Models?
Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method
Candidate Elimination Criteria for Lazy Bayesian Rules
A Parallel Learning Approach for Neural Network Ensemble
A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task
How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?
Updates and Uncertainty in CP-Nets
SDI: Shape Distribution Indicator and Its Application to Find Interrelationships Between Physical Activity Tests and Other Medical Measures
Finding Robust Models Using a Stratified Design
Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies
Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning
Mobile Agent Migration: An Optimal Policy
Robust Text Detection in Natural Scene Images
Unsupervised Measurement of Translation Quality Using Multi-engine, Bi-directional Translation
On the Combination of Partial Action Descriptions
Locality Spectral Clustering
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 I
Emotion-Based Crowd Simulation Using Fuzzy Algorithm
The DSC Algorithm for Edge Detection
Random-Sets for Dealing with Uncertainties in Relevance Feature
Neuroevolution for Micromanagement in the Real-Time Strategy Game Starcraft: Brood War
Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs
Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics
The Serializability Problem in a Parallel Rule-Based System: A Solution by Distributed Coordination
ICHEA for Discrete Constraint Satisfaction Problems
An Explainable Graph Learning Framework for Severe Maternal Morbidity Prediction
Feature Standardisation in Symbolic Regression
Enabling Visual Intelligence by Leveraging Visual Object States in a Neurosymbolic Framework - A Position Paper
Representing the Spatial Relations in the Semantic Web Ontologies
Pattern Prediction in Stock Market
Constructive Plausible Logic Is Relatively Consistent
AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning
Paired Hierarchical VAEs for Image-to-Image Translation and Cross Reconstruction
A Dual Network for Transfer Learning with Spike Train Data
A Graph Distance Based Structural Clustering Approach for Networks
A Heuristic Repair Algorithm for the Maximum Stable Marriage Problem with Ties and Incomplete Lists
A Machine Learning Benchmark with Meaning: Learnability and Verb Semantics
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models
Rapid Prototyping of Executable Problem Solving Methods Using MODEL-ECS
Finding Within-Organisation Spatial Information on the Web
Learning from Demonstration Using GMM, CHMM and DHMM: A Comparison
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Open-Domain Question Answering Framework Using Wikipedia
Advanced Topics in Artificial Intelligence, 11th Australian Joint Conference on Artificial Intelligence, AI '98, Brisbane, Australia, July 13-17, 1998, Selected Papers
Learning Intelligent Behavior