yusuke1997/dblp-id-title huggingface dataset:
Synthetic Patient Simulation and Model Stacking for Early Disease Detection: an EHR-Focused AI Framework for Diagnostic Accuracy and Generalization
On the Classification Performance of TAN and General Bayesian Networks
Decision Making in Fund Raising Management: a Knowledge Based Approach
Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies
An e-Manufacturing environment for Open Manufacturing Systems
Sensor Assignment In Virtual Environments Using Constraint Programming
Hybrid Feature Selection Method for Improving File Fragment Classification
CALMsystem: A Conversational Agent for Learner Modelling
Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes
Software Fault Localisation via Probabilistic Modelling
Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance
Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper)
Research and Development in Intelligent Systems XXVIII - Incorporating Applications and Innovations in Intelligent Systems XIX Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2011
Description Identification and the Consistency Problem
Short-Term Forecasting Methodology for Energy Demand in Residential Buildings and the Impact of the COVID-19 Pandemic on Forecasts
Distinct Sequential Models for Inference Boosting
Using Chunks to Categorise Chess Positions
Studying Anticipation Behavior in ALife Simulator
Applications and Innovations in Intelligent Systems XIII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2005
On-Line Monitoring of Plan Execution: a Distributed Approach
Exploring Design Space For An Integrated Intelligent System
Towards Passive Political Opinion Polling using Twitter
Context-Dependent Pattern Simplification by Extracting Context-Free Floating Qualifiers
OK Google, What is the Stock Forecast for Next week? Leveraging Search Engines for Data Collection, Sentiment Analysis and Stock Predictions
An Agent-Based Algorithm for Data Reduction
Modelling Shared Extended Mind and Collective Representational Content
On Predicting the Work Load for Service Contractors
Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs
Visualization and Grouping of Graph Patterns in Molecular Databases
Early Stroke Prediction Using a Convolutional Neural Network on Temporal Electronic Health Records
Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms
On Ontological Expressivity and Modelling Argumentation Schemes Using COGUI
A biologically motivated neural network architecture for the avoidance of catastrophic interference
A Flexible Framework To Experiment With Ontology Learning Techniques
From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer Architecture
PROPOSE - Intelligent Advisory System for supporting Redesign
Using the Gamma Test in the Analysis of Classification Models for Time-Series Events in Urodynamics Investigations
Intensity-Based Image Registration Using Multiple Distributed Agents
Accelerating Cyber-Breach Investigations Through Novel Use of Artificial Immune System Algorithms
An AI-Based System for Pricing Diverse Products and Services
Genetic Programming for the Design of Lace Knitting Stitch Patterns
Analysis of Electronic Health Records to Identify the Patient's Treatment Lines: Challenges and Opportunities
A Hybrid Constraint Programming Approach for Nurse Rostering Problems
Enhancing Deepfake Detection with Audio Spectrograms and Siamese Networks
Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities
The Mining and Analysis Continuum of Explaining Uncovered
PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience
Learning to Navigate and Track: A Decentralized RL Framework for UAV Operations in GNSS-Denied Terrain
Ontology based CBR with jCOLIBRI
Optimizing Opening Strategies in a Real-time Strategy Game by a Multi-objective Genetic Algorithm
Expressive security policy rules using Layered Conceptual Graphs
Genetic Evolution and Adaptation of Advanced Protocols for Ad Hoc Network Hardware Systems
Artificial Intelligence XXXVI - 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17-19, 2019, Proceedings
Programming Without Program or How to Program in Natural Language Utterances
An Approximate Algorithm for Reverse Engineering of Multi-layer Perceptrons
Exploiting Automatic Validation in Human Mission Planning
Computational Intelligence for Bioinformatics: The Knowledge Engineering Approach
An Application of EDA and GA for Permutation Based Spare Part Allocation Problem
Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014
Managing Restaurant Tables using Constraints
Interpreting NMR Spectra by Constraint Solving
TravQuery: A Customer Support Chatbot Based on Retrieval Augmented Generation (RAG)
Patients Forecasting in Emergency Services by Using Machine Learning and Exogenous Variables
On Assisting a Visual-Facial Affect Recognition System with Keyboard-Stroke Pattern Information
Understanding Structure of Concurrent Actions
A Neural Network Approach to Predicting Stock Exchange Movements using External Factors
Fuzzy Logic Based Personalized Task Recommendation System for Field Services
Semantic Analysis for Document Similarity and Search Queries
Generation, Use and Effects of Synthetic Data to Train Medical AI's: Examined Using the Example of Knee Arthroplasty
Off-line Recognition of Handwritten Arabic Words Using Multiple Hidden Markov Models
Evaluating the Performance of LLMs When Translating Saudi Arabic as Low Resource Language
Respiratory Disease Detection Using Deep Convolutional Transformer Models
LSTM for Modelling and Predictive Control of Multivariable Processes
Partridge: An Effective System for the Automatic Cassification of the Types of Academic Papers
Formulating the Temporal Causal Relationships Between Events and Their Results
Computational Complexity Analysis of Decision Tree Algorithms
Detection of Vascular Leukoencephalopathy in CT Images
Encoding Medication Episodes for Adverse Drug Event Prediction
Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing
Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm
A Fast Approximated Evolutionary Approach to Improve SVM Accuracy
Reliable Instance Classification with Version Spaces
Agents in Safety Related Systems Including Ubiquitous Networks
Avoiding Long and Fruitless Dialogues in Critiquing
Research and Development in Intelligent Systems XXIV, Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2007
Semantic Segmentation for Landslide Detection Using Segformer
Experiments with High Performance Genetic Programming for Classification Problems
A Novel K-Means Voice Activity Detection Algorithm Using Linear Cross Correlation on the Standard Deviation of Linear Predictive Coding
Improving the Adaptation Process for a New Smart Home User
Combining Wavelets with HMM for Face Recognition
Adaptive CNN Method for Prostate MR Image Segmentation Using Ensemble Learning
Ranking Pathology Data in the Absence of a Ground Truth
A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment
Lightweight MAC Algorithms
Surface Reconstruction from Point Clouds Using a Novel Variational Model
Hybrid search algorithm applied to the colour quantisation problem
On the Need for Collaborative Intelligence in Cybersecurity
WISE Expert: An Expert System for Monitoring Ship Cargo Handling
An Extended Deterministic Dendritic Cell Algorithm for Dynamic Job Shop Scheduling
A Hybrid Reasoning System for Visual Arithmetic Learning
Motif Discovery in Long Time Series: Classifying Phonocardiograms
Adjusting game difficulty level through Formal Concept Analysis
Talk like a Local: Evaluating Large Language Models for Arabic Dialect Translation Using Similarity Scores
Learning to rank order - a distance-based approach
Studying Continuous Improvement from a Knowledge Perspective
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Vision-Based Human Fall Detection Using 3D Neural Networks
Biologically inspired speaker verification using Spiking Self-Organising Map
Automating the Discovery of Recommendation Rules
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems
Multi Agent Based Simulation Using Movement Patterns Mined from Video Data
Improved Stability of Feature Selection by Combining Instance and Feature Weighting
Improving Cooperative PSO using Fuzzy Logic
Random Prism: An Alternative to Random Forests
Qualitative Approaches to Semantic Scene Modelling and Retrieval
Self-reinforced Meta Learning for Belief Generation
Adoption of New Technologies in a Highly Uncertain Environment: The Case of Egyptian Public Banks
A New Longitudinal Classification Method Based on Stacking Predictions for Separate Time Points
Hierarchical Single Label Classification: An Alternative Approach
A Reusable Commitment Management Service using Semantic Web Technology
A Platform for Simulating Language Evolution
2D Mass-spring-like Model for Prediction of a Sponge's Behaviour upon Robotic Interaction
Exam Timetabling Problem Using Cooperative Hyper-Heuristics: A Case Study of the ITC2007 Dataset
COVID-19 Liquor Sales Forecasting Model
AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-Box Approaches
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
Redux exp : An Open-source Justification-based Explanation Support Server
Selecting Bi-Tags for Sentiment Analysis of Text
Clinical Practice Guidelines: a Case Study of combining OWL-S, OWL, and SWRL
Monotonicity Detection and Enforcement in Longitudinal Classification
Feature Level Ensemble Method for Classifying Multi-media Data
Induction of Modular Classification Rules: Using Jmax-pruning
RSIE : a inference engine for reflexive systems
Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
Estimations of Professional Experience with Panel Data to Improve Salary Predictions
A General Approach to Exploit Model Predictive Control for Guiding Automated Planning Search in Hybrid Domains
A Neural Network Approach to Dragon Boat Partition Problem(Abstract)
EMADS: An Extendible Multi-Agent Data Miner
Exploring Web Search Results Clustering
Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations
Using Case Differences for Regression in CBR Systems
Bi-Resolution: A Logic Reasoning Enhancement Method for Large Language Models Based on Resolution and Bidirectional Reasoning Fusion
Evaluation of a Mixed-Initiative Dialogue Multimodal Interface
Managing ontology versions with a distributed blackboard architecture
Formal Analysis of Empirical Traces in Incident Management
A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests
Challenges in Applying Machine Learning to Media Monitoring
Discovering Implicit Intention-Level Knowledge from Natural-Language Texts
A Trading Agent for a Multi-Issue Clearing House
Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity
Neighbourhood Exploitation in Hypertext Categorization
Predicting Social Trust from Implicit Feedback
Evaluation of Machine Learning Techniques in Predicting Acute Coronary Syndrome Outcome
A Real-Time In-Vehicle Network Testbed for Machine Learning-Based IDS Training and Validation
Geometric Proportional Analogies In Topographic Maps: Theory and Application
Navigating the Landscape of Case Fidelity and Competence in Case-Based Reasoning
Towards Expressive Modular Rule Induction for Numerical Attributes
Cropline and Weed Detection in Corn Using Weak Supervision
Applications and Innovations in Intelligent Systems XVI, Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 9-11 December
ReTAX+: A Cooperative Taxonomy Revision Tool
Practical Limits to Transfer Learning of Neural Network Controllers from Earth to Space Environments
Rule-Mining and Clustering in Business Process Analysis
Aggregation Semantics for Link Validity
Stylochronometry: Timeline Prediction in Stylometric Analysis
Ontology-Based Information Extraction and Reservoir Computing for Topic Detection from Blogosphere's Content: A Case Study About BBC Backstage
A Kolmogorov Complexity View of Analogy: From Logical Modeling to Experimentations
Research and Development in Intelligent Systems XXVI, Incorporating Applications and Innovations in Intelligent Systems XVII, Peterhouse College, Cambridge, UK, 15-17 December 2009
Using simple ontologies to build personal Webs of knowledge
Clonal Selection for Licence Plate Character Recognition
Effective Selection of Abstract Plans for Multi-Agent Systems
Multi-criteria Decision Making with Existential Rules Using Repair Techniques
Predicting Service Levels Using Neural Networks
Real-Time Path Planning using a Simulation-Based Markov Decision Process
Using Semantic Web technologies to bridge the Language Gap between Academia and Industry in the Construction Sector
Analyzing Collaborative Problem Solving with Bayesian Networks
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching
Learning to Improve E-mail Classification with numéro interactive
The Semantic Web as a Linguistic Resource: Opportunities for Natural Language Generation
On Monadic Binary, with Application to Machine Understanding
A Model-Based Approach to Robot Fault Diagnosis
NERULA: A Dual-Pathway Self-supervised Learning Framework for Electrocardiogram Signal Analysis
Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures
The Reactive-Causal Architecture: Introducing an Emotion Model along with Theories of Needs
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Analysing PET scans data for predicting response to chemotherapy in breast cancer patients
An Optimisation Algorithm Inspired by Dendritic Cells
Modelling Expertise for Structure Elucidation in Organic Chemistry Using Bayesian Networks
Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms
A Genetic Algorithm Based Approach for Workforce Upskilling
Ontology Constraint Satisfaction Problem using Conceptual Graphs
Recurrent Neural Networks for Music Genre Classification
Context-Aware Sentiment Detection from Ratings
Graphical Reasoning with Bayesian Networks
Predicting London's Precipitation: A Spatio-Temporal Neural Network Approach
EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm
Conducting Feasibility Studies for Knowledge Based Systems
A Transformer-Based Framework for Thematic Analysis of University Reading Lists
Modeling Navigation Patterns of Visitors of Unstructured Websites
GhostWriter-2.0: Product Reviews with Case-Based Support
Automation of the Solution of Kakuro Puzzles
A Better Predictor of Marathon Race Times Based on Neural Networks
Questionnaire Free Text Summarisation Using Hierarchical Classification
Research and Development in Intelligent Systems XXIII, Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 11-13 December, 2006
A Review of Voice Activity Detection Techniques for On-Device Isolated Digit Recognition on Mobile Devices
Using Negation and Phrases in Inducing Rules for Text Classification
A Linguistic Truth-Valued Temporal Reasoning Formalism and Its Implementation
An Investigation of the Accuracy of Real Time Speech Emotion Recognition
Bias in Recommender Systems: Item Price Perspective
An AI-Based Process for Generating Games from Flat Stories
DATE: Derivative Alignment Training for Extrapolation with Neural Networks
A Two Stage Optimisation System for Resource Management in BT
Automated Bilateral Negotiation and Bargaining Impasse
Knowledge-Based Composable Inductive Programming
Interactive Simulator Framework for XAI Applications in Aquatic Environments
3D Spatial Reasoning Using the Clock Model
Successive Reduction of Arms in Multi-Armed Bandits
A Generic Model for End State Prediction of Business Processes Towards Target Compliance
Tuning the Discount Factor in Order to Reach Average Optimality on Deterministic MDPs
Confidence Preservation Property in Knowledge Distillation Abstractions
Towards the Integration of Prescription Analytics into Health Policy and General Practice
How AI is Changing Medicine: a Simple Matter of Time?
Adding question answering to an e-tutor for programming languages
RoboCup 3D Soccer Simulation Server: A Progressing Testbed for AI Researchers
Anomaly Detection and Root Cause Analysis on Log Data
A New Approach for Partitional Clustering Using Entropy Notation and Hopfield Network
Research and Development in Intelligent Systems XXV, Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 9-11 December, 2008
CRC: Consolidated Rules Construction for Expressive Ensemble Classification
A Cooperative Multi-objective Optimization Framework based on Dendritic Cells Migration Dynamics
Prospective Responsibility for Multi-agent Systems
Mobile Robots and EEG - A Review
Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting
Comprehensive Parent Selection-based Genetic Algorithm
Audio-Visual Emotion Recognition Using Deep Learning Methods
The Knowledge Bazaar
A Machine Learning Application for Classification of Chemical Spectra
Training and Evaluating an E-tutor
Reliability and Effectiveness of Cross-Validation in Feature Selection
Supporting Temporal Information in Medical Care Planning
Towards the Development of OMNIVORE: An Evolving Intelligent Intrusion Detection System
Inferring Context from Users' Reviews for Context Aware Recommendation
Artificial Intelligence XXXIV - 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings
Towards a Computationally Efficient Approach to Modular Classification Rule Induction
Decision Support in Designing with Polymers
Analysis of IDDM Rats
Hierarchical Traces for Reduced NSM Memory Requirements
Run-Time Analysis of Classical Path-Planning Algorithms
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation
Using Sentence Embedding for Cross-Language Plagiarism Detection
An Ontology to Support Knowledge Management in Behaviour-Based Healthcare
Evaluation of Explanations for Object Detection Using Transformers with Sonar Data
An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data
Multimodal Sarcasm Dataset Generation for a Low-Resource Language: Swahili
Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables
Predicting Occupant Locations Using Association Rule Mining
Intention-Aware Model to Support Agent Deliberation in a Large-Scale Dynamic Multi-Agent Application
Spatial Interpolation of Air Quality: A UK Case Study
A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques
Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains
Accelerating the Training of an LP-SVR Over Large Datasets
Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction
On the Use of OBDDs in Model Based Diagnosis: an Approach Based on the Partition of the Model
Incremental Critiquing
An Agent-Based Approach to Non-Distributed and Distributed Clustering
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Genetic Folding: A New Class of Evolutionary Algorithms
Assembly of Neural Networks Within a Federation of Rational Agents for the Diagnosis of Acute Coronary Syndromes
Strategies for Partitioning Data in Association Rule Mining
Explaining How to Play Real-Time Strategy Games
Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms
Explaining Recommender Systems' Performance via User Behaviour Patterns
Cluster Analysis of Face Images and Literature Data by Evolutionary Distance Metric Learning
Coping with Noisy Search Experiences
An Application of Artificial Intelligence to the Implementation of Virtual Automobile Manufacturing Enterprise
Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure
Self-Adaptive Stepsize Search Applied to Optimal Structural Design
Transform Ranking: a New Method of Fitness Scaling in Genetic Algorithms
An Ambient Intelligence Application Integrating Agent and Service-Oriented Technologies
A Comparison of Machine Learning Techniques for Recommending Search Experiences in Social Search
On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining
Choosing a Case Base Maintenance Algorithm using a Meta-Case Base
Graph-Based Norm Explanation
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
Artificial Intelligence and Legal Liability
Developing Ensemble Methods for Detecting Anomalies in Water Level Data
Using Machine Learning for Dynamic Multicast Capacity Planning
The Impact of Rule Ranking on the Quality of Associative Classifiers
Hybrid Optimization Approach for Multi-Layer FTTH Network Design
Legal Engineering: A structural approach to Improving Legal Quality
Towards Expressive Rule Induction on IP Network Event Streams
Nursing Activity Recognition for Automated Care Documentation in Clinical Settings
A Fuzzy Rule-Based Approach for the Collaborative Formation of Design Structure Matrices
Managing Uncertainties in the Field of Planning and Budgeting - An Interactive Fuzzy Approach
Clinical Dialogue Transcription Error Correction with Self-supervision
The Next Generation of Legal Expert Systems - New Dawn or False Dawn?
A Fuzzy-Logic Based Cognitive Walkthrough to Assess the Degrees of Soft Skills Targeted in an Intelligent Educational Adventure Game
Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform
Chunking Natural Language Texts using Evolutionary Methods*
Universum Inference and Corpus Homogeneity
Chinese Text Clustering for Topic Detection Based on Word Pattern Relation
Remainder Subset Awareness for Feature Subset Selection
Profiling Power Consumption for Deep Learning on Resource Limited Devices
De-risking Fleet Replacement Decisions
Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor
Enhancing Voice-Controlled Drone Navigation: A Hybrid Approach Using ASR and NLP for UAV Command Interpretation
HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data
Analogical proportions: another logical view
Template Learning using Wavelet Domain Statistical Models
Automatically Geotagging Articles in the Welsh Newspapers Online Collection
Computer Vision System for Manufacturing of Micro Workpieces