yusuke1997/dblp-id-title huggingface dataset:
Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection
Information Management for Unmanned Systems: Combining DL-Reasoning with Publish/Subscribe
An Electronic Tree Inventory for Arboriculture Management
Behavioural User Identification from Clickstream Data for Business Improvement
OPEN: New Path-Planning Algorithm for Real-World Complex Environment
Risk Information Recommendation for Engineering Workers
Customer Contact Journey Prediction
On the Way Towards Automated Planning and Budgeting: Combining Fuzzy Planning with CBR Learning Systems
Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of Vision Transformers and YOLOv8
Reasoning with Counterfactual Explanations for Code Vulnerability Detection and Correction
Polynomial-Fuzzy Decision Tree Structures for Classifying Medical Data
DScentTrail: A New Way of Viewing Deception
A Discrete Particle Swarm Optimization Algorithm for the Permutation Flowshop Sequencing Problem with Makespan Criterion
Automating Question Generation From Educational Text
Using Structural Similarity for Effective Retrieval of Knowledge from Class Diagrams
Contributing Features-Based Schemes for Software Defect Prediction
Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networks
An Autopoietic Repertoire
GramError: A Quality Metric for Machine Generated Songs
Designing a Feedback Component of an Intelligent Tutoring System for Foreign Language
Constraint Relationships for Soft Constraints
A Personalized RSS News Filtering Agent
Spice Model Generation from EM Simulation Data Using Integer Coded Genetic Algorithms
Incremental Fault Isolation for Dynamic Processes
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
On a Novel ACO-Estimator and its Application to the Target Motion Analysis Problem
Case-Based Reasoning Investigation of Therapy Inefficacy
I-SPY - Anonymous, Community-Based Personalization by Collaborative Meta-Search
Cross Organisational Compatible Plans Generation Framework
Multi-Agent Knowledge Allocation
Personalised Meta-Learning for Human Activity Recognition with Few-Data
A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo
Using Evolved Fuzzy Neural Networks for Injury Detection from Isokinetic Curves
OAK4XAI: Model Towards Out-of-Box eXplainable Artificial Intelligence for Digital Agriculture
Detecting Node Behaviour Changes in Subgraphs
Solar Flare Forecasting Using Individual and Ensemble RNN Models
Forecasting Student's Preference in E-learning Systems
Benchmarking Grammar-Based Genetic Programming Algorithms
Generalised Decision Level Ensemble Method for Classifying Multi-media Data
Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data
An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising
A Neural Network Test of the Expert Attractor Hypothesis: Chaos Theory Accounts for Individual Variance in Learning
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning
Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier
Artificial Intelligence Techniques for the Berth Allocation and Container Stacking Problems in Container Terminals
SPARQS: Automatic Reasoning in Qualitative Space
Robot Docking Based on Omnidirectional Vision and Reinforcement Learning
Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper)
Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper)
Building an Ontology and Knowledge Base of the Human Meridian-Collateral System
Automated Tool for Diagnosis of Sinus Analysis CT Scans
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs
Automated Sequence Tagging: Applications in Financial Hybrid Systems
Recommendation Knowledge Discovery
Research and Development in Intelligent Systems XXX, Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, December 10-12, 2013
A Live-User Evaluation of a Visual Module Recommender and Advisory System for Undergraduate Students
Cable Belief Networks (Best Application Paper)
Applications and Innovations in Intelligent Systems XV - Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 10-12 December 2007
TrafficSim: A Simulation Framework for the Scottish Rail Network in ROS2
Constraint Acquisition as Semi-Automatic Modeling
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics
Induction Motor Inter-turn Short Circuit Fault Detection Using Efficient Feature Extraction for Machine Learning Based Fault Detectors
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper)
Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries
Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination
Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines
An Improved Hybrid Genetic Algorithm: New Results for the Quadratic Assignment Problem
Bias Detection in Online Higher Education Texts: Comparing Fine-Tuned and Zero-Shot LLM Approaches
Comparing Peircean Algorithm with Various Bio-inspired Techniques for Multi-dimensional Function Optimization
DenGraph-HO: Density-based Hierarchical Community Detection for Explorative Visual Network Analysis
Partial-ACO Mutation Strategies to Scale-Up Fleet Optimisation and Improve Air Quality (Best Application Paper)
Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News
A Decision Tree-Based Attribute Weighting Filter for Naive Bayes
Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization
Modelling Social Structures and Hierarchies in Language Evolution
Retinal Image Classification for the Screening of Age-Related Macular Degeneration
Data Science Approaches to Evaluating Honours Candidates
A Bargaining Agent aims to ‘Play Fair'
Reinforcement Learning for Scheduling of Maintenance
A cross-study of Sentiment Classification on Arabic corpora
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
Research and Development in Intelligent Systems XXII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 12-14 December 2005
Web Community Knowledge Extraction for myCBR 3
Towards Publishing Ontology-Based Data Quality Metadata of Open Data
Web-Site Boundary Detection Using Incremental RandomWalk Clustering
Towards a Technical Definition of Artificial Intelligence and Machine Learning Software Systems
Genetic Programming for Wind Power Forecasting and Ramp Detection
The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks
Machine Learning in Control Systems: An Overview of the State of the Art
Neural Networks for Financial Literacy Modelling
The Industrialisation of a Multi-Agent System for Power Transformer Condition Monitoring
Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming
Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval
Dependent Record Types for Dynamic Context Representation
Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality
Artificial Intelligence XLII - 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I
PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings
Exploring the Noisy Threshold Function in Designing Bayesian Networks
An Optimal Dynamic Threat Evaluation and Weapon Scheduling Technique
MentaLex: A Mental Processes Lexicon Based on the Essay Dataset
Balancing User Satisfaction and Cognitive Load in Coverage-Optimised Retrieval
A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation
Polarity Assignment to Causal Information Extracted from Financial Articles Concerning Business Performance of Companies
A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data
Experience with Ripple-Down Rules
Credit Card Fraud Using Adversarial Attacks
Secure Third Party Data Clustering Using \varPhi Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper)
On a new Stepwidth Adaptation Scheme for Simulated Annealing and its Practical Application
Deep Despeckling of SAR Images to Improve Change Detection Performance
Identifying Employee Potential in Logistics Using AI-Supported HR Analytics
Rethinking the Illusion of Thinking
Are Ordinal Representations Effective?
Artificial Intelligence XLI - 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part I
Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery
Applying Bayesian Networks for Meteorological Data Mining
An Agent-Based Approach to ANN Training
Quantization Error-Based Regularization in Neural Networks
Automatically Acquiring Structured Case Representations: The SMART Way
Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models
Automatic Detection of Public Speaking Anxiety Through Linguistic Analysis
Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings
Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses
Incorporating Risk in Field Services Operational Planning Process
On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column
NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition
A Theoretical Framework for Tradeoff Generation using Soft Constraints
Semi-Supervised Detection of Algorithmically Generated Domains using Neural Network-Based Autoencoders
Towards Symbolic Data Mining in Numerical Time Series
A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem
CR-Modified SOM to the Problem of Handwritten Digits Recognition
Providing Advanced, Personalised Infomobility Services Using Agent Technology
A Fast Algorithm to Estimate the Square Root of Probability Density Function
Harnessing Background Knowledge for E-Learning Recommendation
Text Classification using Graph Mining-based Feature Extraction
Extending Jess to Handle Uncertainty
Agent Argumentation with Opinions and Advice
On Acquiring Knowledge to Support Decision Making in Collaborative e-Work
Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge
Cluster-Based Benchmarking of Universities as an Alternative to League Tables
Heuristic Search of Heuristics
Time-Series-Based Classification of Financial Forecasting Discrepancies
Corpus Callosum MR Image Classification
Domain Dependent Distributed Models for Railway Scheduling
Masked Conditional Neural Networks for Environmental Sound Classification
Toolbelt-MCP: Exploring the Model Context Protocol for Tool-Use of Large Language Models Utilizing Graphs with Relational Databases
Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem
Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations
Comparative studies of Statistical and Neural Networks Models for Short and Long Term Load Forecasting: a Case Study in the Brazilian Amazon Power Suppliers
Qualitative Hidden Markov Models for Classifying Gene Expression Data
Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales
Content vs. Tags for Friend Recommendation
Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data
Design-a-Trial: A Rule-Based Decision Support System for Clinical Trial Design
Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks
A Hybrid Model for Business Process Event Prediction
Speech-Enabled Interfaces for Travel Information Systems with Large Grammars
Application of Data Mining for Supply Chain Inventory Forecasting
Mitigating Western Bias in Music Genre Classification: A Contrastive Learning Approach for Greek Music
Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes
Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods
Constraint Satisfaction and Fixes: Revisiting Sisyphus VT
eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams
High-Confidence Clustering and Lightweight U-Net for SAR Change Detection
Mining Interesting Correlated Contrast Sets
The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld
Preference and Sentiment Guided Social Recommendations with Temporal Dynamics
An Assessment of Robustness for Adversarial Attacks and Physical Distortions on Image Classification using Explainable AI
Multi-label Classification of Movie Posters into Genres with Rakel Ensemble Method
Case Based Adaptation Using Interpolation over Nominal Values
Generation of Human-Aware Navigation Maps Using Graph Neural Networks
On Applying Adaptive Data Structures to Multi-Player Game Playing
On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications
Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review
Parameter Estimation of Nonlinear Systems Using Lèvy Flight Cuckoo Search
Morality, Machines, and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents
Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification
Category-Driven Association Rule Mining
Comparative Assessment of ChatGPT, DeepSeek, and Human Reviewers for Full-Text Screening in Systematic Reviews on the Impact of Air Pollution in Respiratory Diseases
Evaluating Algorithms for Missing Value Imputation in Real Battery Data
Domain-Based Lexicon Enhancement for Sentiment Analysis
A Framework for Brand Reputation Mining and Visualisation
A Mereological Semantics of Contexts
Restart-Based Genetic Algorithm for the Quadratic Assignment Problem
Acting Irrationally to Improve Performance in Stochastic Worlds
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
CONOISE: Agent-Based Formation of Virtual Organisations
6D Grasp Pose Estimation Using Machine Learning with Synthetic Data: Explainable Grasping with Point Cloud Networks
A Versatile Executive Based on T-REX for Any Robotic Domain
Localized Affinity-Based Reinforcement Learning for Interpretable State-Specific Decision-Making
Exposing Knowledge: Providing a Real-Time View of the Domain Under Study for Students
On Explanations for Hybrid Artificial Intelligence
Qualitative Representation and Reasoning with Uncertainty in Space and Time
A User-Extensible and Adaptable Parser Architecture
Breast cancer diagnosis based on evolvable fuzzy classifiers and feature selection
On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research
An evolutionary approach to simulated football free kick optimisation
Robot Docking with Neural Vision and Reinforcement
Digit Detection: Localizing and Convoluting
Dynamic Place Profiles from Geo-folksonomies on the GeoSocial Web
An Environment for the Efficient Analysis of Defining Relationships among Design Entities
Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks
Visualization of Agriculture Data Using Self-Organizing Maps
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning
Incorporating Reactive Learning Behaviour into a Mini-robot Platform
Global Explanations for Imitation Learning
Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning
A Dominance-Based Surrogate Classifier for Multi-objective Evolutionary Algorithms
Quality Management Using Electrical Capacitance Tomography and Genetic Programming: A new Framework
Two-Stage Graph Convolutional Framework for Pipeline Leak Detection and Size Identification
An Evolutionary Game Theory Model of the Decision to Confront
Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps
Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection
On Clustering Attribute-oriented Induction
An Evolutionary Algorithm-Based Approach to Robust Analog Circuit Design using Constrained Multi-Objective Optimization
A Framework for Hybrid Planning
Hybridization of Adaptive Differential Evolution with BFGS
Imprecise Qualitative Spatial Reasoning
Workforce Rostering via Metaheuristics
Generating Feedback Reports for Adults Taking Basic Skills Tests
Argument Based Contract Enforcement
Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis
Support Vector Machines of Interval-based Features for Time Series Classification
MOEA/D with DE and PSO: MOEA/D-DE+PSO
Medical Recommendation System Based on Daily Clinical Reports: A Proposed NLP Approach for Emergency Departments
Evolving Motion Control for a Modular Robot
A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management
A Topological Model Based on Railway Capacity to Manage Periodic Train Scheduling
A Study on Road Junction Control Method Selection Using an Artificial Intelligent Multi-criteria Decision Making Framework
Story Plot Generation based on CBR
Web-based Medical Teaching using a Multi-Agent System
Characterisation of Knowledge Bases
Algorithms and Architecture for Real-Time Recommendations at News UK
Dynamic Process Workflow Routing Using Deep Learning
Multi-Agent Reinforcement Learning - An Exploration Using Q-Learning
Data Augmentation for Ambulatory EEG Based Cognitive State Taxonomy System with RNN-LSTM
Leveraging Sub-class Partition Information in Binary Classification and Its Application
Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing
Probabilistic Rule Induction for Transparent CBR Under Uncertainty
Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners
Characterisation of VBM Algorithms for Processing of Medical MRI Images
Multi-Agent Reinforcement Learning Framework for Modelling Astrocyte-Neuron Interactions in Neural Microenvironments
Firefly Algorithm, Lévy Flights and Global Optimization
Proceedings of the BCS SGAI Workshop on Social Media Analysis 2013 co-located with 33rd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (BCS SGAI 2013), Cambridge, UK, December 10, 2013
Extracting Finite Structure from Infinite Language
A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities
Demonstrating the Distinctions Between Persuasion and Deliberation Dialogues
GaussianProductAttributes: Density-Based Distributed Representations for Products
Explaining Medical Model Exceptions in ISOR
Deploying Embodied AI into Virtual Worlds
Escaping Local Optima in Multi-Agent Oriented Constraint Satisfaction
Non-linear Total Energy Optimisation of a Fleet of Power Plants
SmartGov: A Knowledge-Based Design Approach to Online Social Service Creation
Executing Medical Guidelines on the Web: Towards Next Generation Healthcare
Police Forensic science performance indicators - a new approach to data validation
Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment
Incorporating Semantics into Data Driven Workflows for Content Based Analysis
OntoSearch: An Ontology Search Engine
Knowledge Formalisation for Hydrometallurgical Gold Ore Processing
Data Assimilation of a Biological Model Using Genetic Algorithms
Autonomous Swarm Agents Using Case-Based Reasoning
A Generic Platform for Ontological Query Answering
A Viewpoint Approach to Structured Argumentation
Conversational Agents in E-Learning
Biologically inspired Continuous Arabic Speech Recognition
Artificial Intelligence XXXVII - 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15-17, 2020, Proceedings
Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces
Hybrid System for the Inventory of the Cultural Heritage Using Voice Interface for Knowledge acquisition
Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models
Research and Development in Intelligent Systems XXXIII - Incorporating Applications and Innovations in Intelligent Systems XXIV. Proceedings of AI-2016, The Thirty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 13-15, 2016
Extending arc-consistency algorithms for Non-Normalized CSPs
Text Classification using Language-independent Pre-processing
Interactive Evolutionary Generative Art
Parallel Induction of Modular Classification Rules
The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications
Machine Learning-Enhanced Production Frontier Estimation: An EATBoosting Variant
A Non-Binary Constraint Ordering Approach to Scheduling Problems
Deep Learning for Classification of Bi-Lingual Ads in Online Classifieds
Dynamic Rule Mining for Argumentation Based Systems
Modelling Satellite Data for Automobile Insurance Risk
Computationally Efficient Rule-Based Classification for Continuous Streaming Data
An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams
Optimal Manufacturing Controller Synthesis Using Situation Calculus
Transparency of Computational Intelligence Models
Evolutionary Harnessing of Sneak Currents of 1R Memristive Crossbar
Forecasting Uranium Prices Using LSTM and VMD-Based Ensemble Models
Vertex Unique Labelled Subgraph Mining
Automatic Species Identification of Live Moths
Regulated Information Sharing and Pattern Recognition for Smart Cities
Artificial Intelligence XXXV - 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11-13, 2018, Proceedings
A Heuristic Based System for Generation of Shifts with Breaks
Quasi Biologically Plausible Category Learning
Adapting Bottom-up, Emergent Behaviour for Character-Based AI in Games
Transformer-Based and Generative Classifiers for Mining Imbalanced Datasets
Trend Mining and Visualisation in Social Networks
CBR for SmartHouse Technology
Contextual Transformers for Goal-Oriented Reinforcement Learning
A Self-Organising Hybrid Model for Dynamic Text Clustering
An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection
An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model
Player Collaboration in Virtual Environments using Hierarchical Task Network Planning
An Improved Genetic Programming Technique for the Classification of Raman Spectra
Confidence in Random Forest for Performance Optimization
Quality Checking of Medical Guidelines through Logical Abduction
Bitcoin Forecasting Using Deep Learning and Time Series Ensemble Techniques
A Neural Network for Counter-Terrorism