yusuke1997/dblp-id-title huggingface dataset:
Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification
Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework
Fuzzy interpolation and extrapolation using shift ratio and overall weight measurement based on areas of fuzzy sets
Artificial Neural Network Analysis of Volatile Organic Compounds for the Detection of Lung Cancer
3D Simulation of Navigation Problem of People with Cerebral Visual Impairment
Investigation of Decision Support System for Indian Penal Code Section Using Similarity Algorithm and Fuzzy Logic
Creating a Hierarchical Fuzzy System to Assess Physical Activity Levels from Fitbit Data
Interval type-2 fuzzy sets in supplier selection
Avoiding Excess Computation in Asynchronous Evolutionary Algorithms
Advances in Computational Intelligence Systems - Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UK
Feature Analysis for Emotional Content Comparison in Speech
Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK
A novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design
Advances in Computational Intelligence Systems - Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK
Towards Dynamic Fuzzy Rule Interpolation with Harmony Search
A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets
Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing
A Stackelberg Game Approach to maximise electricity retailer's profit and minimse customers' bills for future smart grid
Pose-Invariant Facial Expression Recognition Based on MOEO Algorithm and LBP
A hybrid particle swarm optimization algorithm for parallel batch processing machines scheduling
Noisy Instance Removal Using OWA-Based Fuzzy-Rough Sets
Supervised Dimensionality Reduction for the Algorithm Selection Problem
Re-scheduling in railway networks
Single-Grasp Detection Based on Rotational Region CNN
Fuzzy Connected-Triple for Predicting Inter-variable Correlation
Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm
A greedy gradient-simulated annealing hyper-heuristic for a curriculum-based course timetabling problem
Detecting and Tracking the Moving Vehicles Based on Deep Learning
Towards developing 3rd Generation Intelligent Synthetic Composite Indicators
Recognizing facial expressions: Computational models and humans
Model Variance in Neural Network Models for Forecasting Chaotic Systems
K-Nearest-Neighbours with a novel similarity measure for intrusion detection
Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via sEMG
Reinforcement Programming for function approximation
The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning
Combining biochemical network motifs within an ARN-agent control system
Enhancing Single Image Super Resolution: A Galerkin-Type Attention Mechanism-Based Approach with Residual Channel Attention Networks
A New Steady-State MOEA/D for Sparse Optimization
Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation
Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation
A Study of the Necessity of Signal Categorisation in Dendritic Cell Algorithm
Key Frame Extraction and Classification of Human Activities Using Motion Energy
Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-fuzzy Approach
A Novel Crossings-Based Segmentation Approach for Gesture Recognition
iBuilding: Artificial Intelligence in Intelligent Buildings
The Influence of Age Assignments on the Performance of Immune Algorithms
Heuristics for car setup optimisation in TORCS
Feature selection for detecting language levels in L2 English Learners
Truss topology optimization with species conserving genetic algorithm
Impact Characterization on Reinforced Aerospace Structures via Machine Learning
Human Emotional Understanding for Empathetic Companion Robots
Driver Behaviour Modelling: Travel Prediction Using Probability Density Function
Multi Objective Symbolic Regression
Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media
Applying ACO to Large Scale TSP Instances
Modified Evolving Participatory Learning Algorithms for Takagi-Sugeno Fuzzy System Modelling from Streaming Data
Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning
Pathfinding in partially explored games environments: The application of the A∗ Algorithm with occupancy grids in Unity3D
Detecting Anomalous Behaviour Using Heterogeneous Data
No Explanation Without (Fuzzy) Representation
Large-scale optimization: Are co-operative co-evolution and fitness inheritance additive?
Fast-Spanning Ant Colony Optimisation for Mobile Robot Coverage Path Planning
A Dynamic Hyper Heuristic Approach for Solving the Static Frequency Assignment Problem
Improving motion state change object detection by using block background context
Contrastive Learning for Limited Medical Data - A Bipartite Strategy for Detection Tasks
Predicting fluctuations in foreign exchange rates
An Approach to Implementing Convolutional Neural Network Based on Low Density FPGA
Towards automated monitoring of adult zebrafish
Uncertainty in business decisions and fuzzy games approach
Integrated microarray analytics for the discovery of gene signatures for triple-negative breast cancer
Minkowski compactness measure
Association Rule Mining for Occupational Wellbeing During COVID
Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders
Clinical Outcome Prediction Pipeline for Ischemic Stroke Patients Using Radiomics Features and Machine Learning
Graph Theoretic and Stochastic Block Models Integrated with Matrix Factorization for Community Detection
Using Natural Language Processing and Machine Learning to Detect Online Grooming Attacks
Sentiment Analysis Model Based on Structure Attention Mechanism
Automatic image annotation with long distance spatial-context
Beautified QR Code with Security Based on Data Hiding
Using AI Approaches for Predicting Tomato Growth in Hydroponic Systems
Hierarchies of Power: Identifying Expertise in Anonymous Online Interactions
A Robotic Chinese Stroke Generation Model Based on Competitive Swarm Optimizer
Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm
Urban Village Identification from City-Wide Satellite Images Leveraging Mask R-CNN
13th UK Workshop on Computational Intelligence, UKCI 2013, Guildford, United Kingdom, September 9-11, 2013
Analysing Cyberattacks Using Attack Tree and Fuzzy Rules
Laplacian Regularized Variational Few-Shot Learning for Image Classification
Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation
Late acceptance-based selection hyper-heuristics for cross-domain heuristic search
Dynamic railway junction rescheduling using population based ant colony optimisation
Supplier's Information Strategy in the Presence of a Dominant Retailer
Cyberattack Analysis Based on Attack Tree with Weighted Average Probability and Risk of Attack
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation
Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network
Preliminary Introduction and Implementation of Novel Machine Learning Algorithm Utilising Pareto Principle: Classification of Small Biomedical Health-Related Datasets
Image-Based Transient Detection Algorithm for Gravitational-Wave Optical Transient Observer (GOTO) Sky Survey
Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches
Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing
Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes
Advanced Gait Analysis for Elder Wellbeing Monitoring
Group decision making hyper-heuristics for function optimisation
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
A benchmark generator for dynamic multi-objective optimization problems
Daily Energy Price Forecasting Using a Polynomial NARMAX Model
Dimension Reduction Based on Geometric Reasoning for Reducts
Surface Crack Detection Using Hierarchal Convolutional Neural Network
Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
Human Activities Transfer Learning for Assistive Robotics
Refinement of fuzzy rule weights with particle swarm optimisation
Towards machine learning based design pattern recognition
Can Multivariate Granger Causality Detect Directed Connectivity of a Multistable and Dynamic Biological Decision Network Model?
Generating ANFISs Through Rule Interpolation: An Initial Investigation
KOSI- Key Object Detection for Sentiment Insights
A Fuzzy Logic-Based Framework for Statistical Process Control in Additive Manufacturing
Advances in Computational Intelligence Systems - Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6-8, 2023, Birmingham, UK
Bus Scheduling Timetable Optimization Based on Hybrid Bus Sizes
Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models
A Macro Human Resource Management Platform Enabled by Big Data Technology
Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets
Hybridizing Lévy Flights and Cartesian Genetic Programming for Learning Swarm-Based Optimization
A grouping hyper-heuristic framework based on linear linkage encoding for graph coloring
Predicting Academic Performance of University Students Using Adaptive Neuro Fuzzy Inference System (ANFIS)- Subtractive Clustering Algorithm (ANFIS-SC): A Case Study in the UK
Improved Bug Algorithms for Robot Navigation in Unknown Environments
Transport Object Detection in Street View Imagery Using Decomposed Convolutional Neural Networks
Prediction of viewed object sizes using features of visual evoked potentials and oculo-motors
Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification
Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty
Electricity Demand Forecast with LSTMs
A neurofuzzy classifier for two class problems
Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems
The Pilot Environmental Performance Index 2006 as a Tool for Optimising Environmental Sustainability at the Country Level
Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces
Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data
An Intrusion Detection System Using the XGBoost Algorithm for SDVN
U2FSM: Unsupervised Square Finite State Machine for Gait Events Estimation from Instrumented Insoles
Improved SLAM Method Based on Dynamic Objects Detecting with the Fusion of Vision and Lidar
Cyberattack Analysis Utilising Attack Tree with Weighted Mean Probability and Risk of Attack
Extended kernel subset analysis for qualitative model learning
Double-Phase Locality Sensitive Hashing of neighborhood development for multi-relational data
Harmony Search Algorithm for Fuzzy Cerebellar Model Articulation Controller Networks Optimization
Online Object Trajectory Classification Using FPGA-SoC Devices
Kernel learning method for distance-based classification of categorical data
Nonlinear control of the underactuated hovercraft using the Derivative-free nonlinear Kalman filter
FireNet-Micro: Compact Fire Detection Model with High Recall
Available Website Names Classification Using Naïve Baye
Developing Variational Generative Models Using Predictive Coding
RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution
Classification of Human Hand Movements Using Surface EMG for Myoelectric Control
Object Detection in Heritage Archives Using a Human-in-Loop Concept
Comparison of crisp systems and fuzzy systems in agent-based simulation: A case study of soccer penalties
Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses
Integration strategies for toxicity data from an empirical perspective
A Hybrid Human Motion Prediction Approach for Human-Robot Collaboration
Swarm Inspired Approaches for K-prototypes Clustering
A Model-Based Reliability Analysis Method Using Bayesian Network
A general type-2 fuzzy logic approach for adaptive modeling of perceptions for Computing With Words
Clustering-Based Fuzzy Finite State Machine for Human Activity Recognition
Video Tampering Detection Algorithm Based on Spatial Constraints and Stable Feature
A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection
Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes
A fast approximative approach for the Vehicle Routing Problem
Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data
Exploiting Tournament Selection for Efficient Parallel Genetic Programming
Fuzzy Representation for Flexible Requirement Satisfaction
A Monocular-LiDAR SLAM Guided by Image Segmentations
Efficient Finite Element Mesh Mapping Using Octree Indexing
Towards a method of identifying the causes of poor user experience on websites
Prediction of driver fatigue: Approaches and open challenges
An Exploratory Ukraine Rising Commodities Price Analysis: Towards a Resilient Food System
Q-Routing Using Multiple QoS Metrics in SDN
Wavelet neural network approach applied to biomechanics of swimming
Improving Session Based Recommendation by Diversity Awareness
A Method for Location Based Search for Enhancing Facial Feature Detection
A Study of Neuro-Weighted Nearest-Neighbour Classification
Automatic Horse Blink Detection Using Computer Vision and Deep Nets
AI Generated Art: Latent Diffusion-Based Style and Detection
Signal Categorisation for Dendritic Cell Algorithm Using GA with Partial Shuffle Mutation
Towards Reinforcement Learning for Non-stationary Environments
SentiNet: Mining Visual Sentiment from Scratch
An Embedded Machine Learning Approach to Assist Navigation for People with Visual Impairments
The importance of being structured: A comparative study on multi stage memetic approaches
Discrete-Time Recurrent Neural Network for Solving Multi-linear M -tensor Equation
Detection of Cyberbullying on Social Media Platforms Using Machine Learning
A fuzzy image congealing-based handwritten Chinese character recognition and classification system
Fuzzy Feature Representation with Bidirectional Long Short-Term Memory for Human Activity Modelling and Recognition
Arabic Sentiment Analysis with Federated Deep Learning
Topological and Simplicial Features in Reservoir Computing Networks
Traffic Condition Analysis Based on Users Emotion Tendency of Microblog
Advances in Computational Intelligence Systems - Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network
A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness
5G Cybersecurity Based on the Blockchain Random Neural Network in Intelligent Buildings
Set-based genetic algorithms for solving many-objective optimization problems
An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models
Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK
Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network
An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization
(1+1)-Evolutionary Gradient Strategy to Evolve Global Term Weights in Information Retrieval
Mitigating Cyber Threats from the Edge
Adaptive learning with covariate shift-detection for non-stationary environments
Generation of Reducts and Threshold Functions Using Discernibility and Indiscernibility Matrices for Classification
Design and Implementation of Bionic Flying Fish with Applications
Tumour Detection and Segmentation in MRI Scans of the Gut Area
Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League
Towards Chinese Metaphor Comprehension Based on Attribute Statistic Analysis
Towards dynamic accessibility through soft gaze gesture recognition
A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation
Evolutionary Constraint in Artificial Gene Regulatory Networks
Fuzzy Bi-objective Chance-Constrained Programming Model for Timetable Optimization of a Bus Route
Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks
L_1 -Induced Static Output Feedback Controller Design and Stability Analysis for Positive Polynomial Fuzzy Systems
Novel hybrid bacterial foraging and spiral dynamics algorithms
Efficient feature selection using a self-adjusting harmony search algorithm
Content Representation for Microblog Rumor Detection
3D Teeth and Gum Segmentation Through Feature Fusion for Dental Image Processing
A fast and efficient semantic short text similarity metric
ACO Inspired GA Mutation Applied to the TSP
Meta-Lamarckian learning in three stage optimal memetic exploration
Word order variation and string similarity algorithm to reduce pattern scripting in pattern matching conversational agents
Partial structure learning by subset walsh transform
An Introduction to Federated Learning: Working, Types, Benefits and Limitations
Search-guided activity signals extraction in application service management control
Heterogeneous classifier ensembles for EEG-based motor imaginary detection
A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization
Graph Attention Based Spatial Temporal Network for EEG Signal Representation
Predicting Hospital Length of Stay for Accident and Emergency Admissions
Faster RCNN Hyperparameter Selection for Breast Lesion Detection in 2D Ultrasound Images
Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK
14th UK Workshop on Computational Intelligence, UKCI 2014, Bradford, UK, September 8-10, 2014
Exploring Community Detection Algorithms and Their Applications in Social Networks
Demystifying the Working, Types, Benefits and Limitations of Chatbots
Adaptive mutation in dynamic environments
Predicting the Popularity of YouTube Videos: A Data-Driven Approach
Towards an Ontology of Trust for Situational Understanding
Human activity classification using a single accelerometer
Measuring the directional distance between fuzzy sets
Fast Lane Detection Based on Improved Enet for Driverless Cars
Predictive World Models for Social Navigation
A Method of Abstractness Ratings for Chinese Concepts
Modeling neural plasticity in echo state networks for time series prediction
A Dynamic Tabu Search Approach for Solving the Static Frequency Assignment Problem
A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm
An Artificial Neural Networks (ANN) Based System for Optimal Taxiing Navigation of a BOEING-747 Aircraft
Customized Multi-energy Pricing in Smart Grids: A Bilevel and Evolutionary Computation Approach
Model-Based Generation of Manufacturing Process Plans Through Incremental Topology Formation
Natural Language Interface to Relational Database (NLI-RDB) Through Object Relational Mapping (ORM)
Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform
A Fall Detection/Recognition System and an Empirical Study of Gradient-Based Feature Extraction Approaches
Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling
Improving Imbalanced Students' Text Feedback Classification Using Re-sampling Based Approach
Towards an autonomous resilience strategy the implementation of a self evolving rate limiter
A Two-Stream CNN Framework for American Sign Language Recognition Based on Multimodal Data Fusion
Segmentation and Counting of Plant Organs Using Deep Learning and Multi-view Images
The effect of attribute pairings in intrusion detection
Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers
Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days
Measuring change in fuzzy concept lattices
Distributed Heterogeneous Panel Furniture Production with Lot-Sizing and Scheduling
An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets
"Parallel-Tempering"-Assisted Hybrid Monte Carlo Algorithm for Bayesian Inference in Dynamical Systems
State detection from electromyographic signals towards the control of prosthetic limbs
Evolving gene regulatory networks with mobile DNA mechanisms
Applying particle swarm optimization to a garbage and recycling collection problem
Deep Learning Approach for Classifying Trusses and Runners of Strawberries
Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm
Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach
Data density based clustering
Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network
Maximal-margin case-based inference
Comparing data-mining algorithms developed for longitudinal observational databases
Panel Furniture Production Scheduling with Limited Storage Spaces
Rule Base Structure and Influence of Existing Rules: An Initial Investigation
A Data Driven Stopping Criterion for Evolutionary Instance Selection
Constructive Heuristics for Commercial Waste Collection with Time-Dependent Travel
Semi-supervised Semantic Segmentation with Complementary Reconfirmation Mechanism
ASD Children Adaption Behaviour Assessment via Hand Movement Properties: A RoadMap
Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning
Emojional: Emoji Embeddings
Variable-based ε - PAES with adaptive fertility rate
Integration of interpolation and inference
DeepSwarm: Optimising Convolutional Neural Networks Using Swarm Intelligence
Probability Approximation Based Link Prediction Method for Online Social Network
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms
Snapshot Ensemble on Brain MRI Segmentation
Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature
Noise Profiling for ANNs: A Bio-inspired Approach
Solving Partial Differential Equations with Bernstein Neural Networks
A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things
A Virtual Force-Based Strategy for Multi-robot Target Search
Service-driven negotiation for autonomous software agents in robotics-oriented multi-agent systems
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey
Effect of Financial News Headlines on Crypto Prices Using Sentiment Analysis
Decentralised and Privacy Preserving Machine Learning for Multiple Distributed Data Resources
Detection of Suicidal Twitter Posts
Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes
Experimental evaluation of cluster quality measures
Improved evolutionary algorithms for economic load dispatch optimization problems
Stochasticity Improves Evolvability in Artificial Gene Regulatory Networks