yusuke1997/dblp-id-title huggingface dataset:
Electrode Selection and Convolutional Attention Network for Recognition of Silently Spoken Words from EEG Signals
A formal approach to deriving factored evolutionary algorithm architectures
Stochastic Optimization for Combined Economic and Emission Dispatch with Renewables
Niching community based differential evolution for multimodal optimization problems
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
Wind speed forecasting using empirical mode decomposition and regularized ELANFIS
Characterization of common videos with statistical features extracted from frame transition profiles
Negative selection based anomaly detector for multimodal health data
A systemic approach to automatic metadata extraction from multimedia content
Morphological Attractors in Darwinian and Lamarckian Evolutionary Robot Systems
Monotonic Normalized Radial Basis Function Networks
M-ary Hopfield neural network for storage and retrieval of variable length sequences: Multi-limit cycle approach
Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship
A Knee-Point Driven Multi-objective Evolutionary Algorithm for Flexible Job Shop Scheduling
Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs
An Intelligent Email Classification System
Visualization method of relationship among team sports formation components in shoot scenes
Systolic and Diastolic Multiclass Classification of PPG Signals using Neural Network with Random Weight
Does appearance matter? Validating engagement in therapy protocols with socially interactive humanoid robots
Solving the Rubik's Cube with Learned Guidance Functions
Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling
Adaptive Optimal Distributed Control of Linear Interconnected Systems
Synergistic fibroblast optimization based improved reinforcement learning for intelligent assistive device
Using fitness comparison disagreements as a metric for promoting diversity in Dynamic Optimisation Problems
Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering
Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators
Model-agnostic Ensemble-based Explanation Correction Leveraging Rashomon Effect
Fuzzy C-means-based scenario bundling for stochastic service network design
Predicting risk of adverse outcomes in knee replacement surgery with reconstructability analysis
BIS: A New Swarm-Based Optimisation Algorithm
Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model
Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve
Comparing a Weiszfeld's-Based Procedure and (1+1)-es for Solving the Planar Single-Facility Location-Routing Problem
Classification via tensor decompositions of echo state networks
Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis
Multi-scenario use case based demonstration of Buildings Cybersecurity Framework webtool
A Graph Database Supported GA-Based Approach to Social Network Analysis
Towards a Network Interpretation of Agent Interaction in Ant Colony Optimization
Lithology Identification using Well Logging Images Based on Improved Inception Network
Autonomous Viewpoint Selection of Robots Based on Aesthetic Composition Evaluation of a Photo
Transistor Sizing Using Particle Swarm Optimisation
A Multi-Agent System for Autonomous Adaptive Control of a Flapping-Wing Micro Air Vehicle
Load dependent lead times and sustainability
Connective Potential Information for Collectively Interpreting Multi-Layered Neural Networks
Pipeline Leak Detection and Location based on Fuzzy Controller
Improving Speller BCI performance using a cluster-based under-sampling method
A self-adaptive similarity-based fitness approximation for evolutionary optimization
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
Model update in wearable sensors based human activity recognition
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation
The implementation of Thread Network for a Smart Factory
Lexa: A tool for detecting dyslexia through auditory processing
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem
Heterogeneous Parallel Island Models
A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances
Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines
Improved Knowledge Distillation via Teacher Assistants for Sentiment Analysis
Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network
"BioVid Emo DB": A multimodal database for emotion analyses validated by subjective ratings
Training Artificial Neural Networks by Coordinate Search Algorithm
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation
Variational Inference of Finite Asymmetric Gaussian Mixture Models
Inferring Feature Relevances From Metric Learning
Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN
Reconfigurable Heterogeneous Parallel Island Models
Lighting consumption optimization using fish school search algorithm
Simulated Cloud Authentication Based on Touch Dynamics with SVM
A computational intelligence approach for residential home energy management considering reward incentives
Analyzing Different Protocols of Information Granularity Distribution to Improve Consistency of Fuzzy Preference Relations in Decision-Making
A Comparative Study of Markov Network Structure Learning Methods Over Data Streams
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization
An ELM-based privacy preserving protocol for cloud systems
Handling Data Uncertainty in Decision Making with COMET
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation
On the properties of measure in the theory of intermediate quantifiers and the quantifier "Many"
Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns
Impact of Estimation Method of Ideal/Nadir Points on Practically-Constrained Multi-Objective Optimization Problems for Decomposition-Based Multi-Objective Evolutionary Algorithm
A Note on the Evaluation of Mutation Prioritization Algorithms
A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem
Solving nonlinear classification and regression problems by wave interference with a single-layer complex-valued perceptron
Automation of Illuminance measurement in a large scene by an autonomous Mobile Robot
Multi-objective evolution of fast and stable gaits on a physical quadruped robotic platform
Comparison of Multi-objective Evolutionary Algorithms for prototype selection in nearest neighbor classification
A Hierarchical Simple Probabilistic Population-Based Algorithm Applied to the Dynamic TSP
Information and Resource Sharing in Reinforcement Learning Agents Subject to Risk
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility
An Efficient Feature Selection Algorithm Based on Kernel Function
Optimal Residential Building Energy Management Using Genetic Algorithm
Favoring the evolution of adaptive robots through environmental differentiation
An Autonomous Driving Experience Platform with Learning-Based Functions
A Greedy Approach to Ant Colony Optimisation Inspired Mutation for Permutation Type Problems
Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion
Deep swarm: Nested particle swarm optimization
Accident prediction based on motion data for perception-assist with a power-assist robot
DSpace: An inclusive repository for cost-efficient development of accessible control interfaces
RoboCHAIR: Creative Assistant for Question Generation and Ranking
A Silicon Neuron-based Bio-Front-End for Ultra Low Power Bio-Monitoring at the Edge
Multi-Agent Pathfinding with Obstacle Movement for Realistic Virtual Tactical Simulations on Topographic Terrains
Similarity Analysis of Ransomware based on Portable Executable (PE) File Metadata
On learning the structure of sum-product networks
Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors
Damping Control Based Speed Adjustment Strategy for a Lower Limb Rehabilitation Robot
Predicting Patient Discharge Disposition in Acute Neurological Care
Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model
PA-DCGAN: Efficient Spectrum Generation using Physics-Aware Deep Convolutional Generative Adversarial Network with Latent Physical Characteristics and Constraints
Digital Twins for Creating Virtual Models of Solar Photovoltaic Plants
EEG Absence Seizure Detection with Autocorrelation Function and Recurrent Neural Network
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games
Interconnection Structure Optimization for Neural Oscillator Based Biped Robot Locomotion
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices
Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems
Improved anomaly detection using multi-scale PLS and generalized likelihood ratio test
A Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems
Improving Symbolic Regression through a semantics-driven framework
Two-step damage source localization of threedimensional braided composites considering material anisotropy
Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids
SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars
An energy-efficient embedded implementation for target recognition in SAR imageries
Object Tracking Based on Deep CNN Features Together with Color Features and Sparse Representation
ABM/LUCC of a complex economic system of land and home markets facing an intense residential development
Accelerated Distributed Optimization over Directed Graphs with Row and Column-Stochastic Matrices
Data Augmentation Meta-Classifier Scheme for imbalanced data sets
Efficient Classification of Supercomputer Failures Using Neuromorphic Computing
A novel entropy-based sensitivity analysis approach for complex systems
DMMLN: A deep multi-task and metric learning based network for video classification
Understanding the Biological Underpinning of Auditory Perception for Vowel Sounds Using a Type-2 Fuzzy Neural Network
Two-phase differential evolution framework for solving optimization problems
Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids
Designing artificial agents to detect the motive profile of users in virtual worlds and games
Optimization of Fund Periodic Investment Strategy Considering Frequency, Time Scale and Dynamic Payments
Offline Data-Driven Mixed-Variable Optimization Algorithm Using a Step-Wise Strategy
Empathic Interaction Using the Computational Emotion Model
Solar Powered Wheel Chair for Physically Challenged People Using Surface EMG Signal
Design of a Highly Biomimetic and Fully-Actuated Robotic Finger
Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms
Neighborhood topologies in central force optimization
IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019
Augmented YARA Rules Fused With Fuzzy Hashing in Ransomware Triaging
Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems
Width design of circulation facilities in urban rail transit station
Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark
Mild Cognitive Impairment Diagnosis and Detecting Possible Labeling Errors in Alzheimer's Disease with an Unsupervised Learning-based Approach
A Large-Scale Group Decision-Making Method based on Sentiment Analysis for the Detection of Cooperative Group
Generating Playlists on the Basis of Emotion
Authenticating Super-Resolved Image and Enhancing Its PSNR Using Watermark
Exploiting the Trade-off between Convergence and Diversity Indicators
Comparing selected PSO modifications on CEC 15 benchmark set
Artificial Mental Imagery in Cognitive Robots Interaction
Deep Learning and Explainable Artificial Intelligence for Improving Specificity and Detecting Metabolic Patterns in Newborn Screening
Discrete-Time Quadratic-Optimal Hedging Strategies for European Contingent Claims
A preliminary evaluation of Echo State Networks for Brugada syndrome classification
Dispatching strategy for the multi-energy microgrid with source and load uncertainties
A Game Theoretic Based K-Nearest Neighbor Approach for Binary Classification
Adaptive Latent Transformation (ALT) for classification of resting state - fMRI
Island-based Modified Harmony Search Algorithm with Neighboring Heuristics Methods for Flow Shop Scheduling with Blocking
Curvature-Oriented Splitting for Multivariate Model Trees
Quantum Representation Based Job Shop Scheduling
Off-policy reinforcement learning for distributed output synchronization of linear multi-agent systems
Improving Data Explainability in Analysis of Designed Computer Simulation Experiments
Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms
Assessing the robustness of solutions to a multi-objective model of an energy management system aggregator
Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies
Non-trivial informational closure of a Bayesian hyperparameter
Multi-Objective Bayesian Optimization using Deep Gaussian Processes with Applications to Copper Smelting Optimization
Online learning with binary feedback for multi-class problems
Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach
Data analytics on network traffic flows for botnet behaviour detection
Improving multi-view object recognition by detecting changes in point clouds
EMZD: Equal Means Z-Test Concept Drift Detector
Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach
Fuzzy decision making in an agent-based model of non-industrial private forest owners
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling
Learning of Multivariate Beta Mixture Models via Entropy-based component splitting
Korean sign language recognition using EMG and IMU sensors based on group-dependent NN models
Hardware Design for Autonomous Robot Evolution
Hybrid Metaheuristic Algorithm for Clustering
Evolving Behavior Allocations in Robot Swarms
Zero-error rule induction using a memetic algorithm
Wide learning: Using an ensemble of biologically-plausible spiking neural networks for unsupervised parallel classification of spatio-temporal patterns
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
Vision-based HRV Measurement for HRI Study
Detection of rare events in multidimensional financial datasets with zonoid depth functions
Personal models for eHealth - improving user-dependent human activity recognition models using noise injection
A decision heuristic for Monte Carlo tree search doppelkopf agents
Dynamic Context in Graph Neural Networks for Item Recommendation
Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards
Collaborative learning between robots and children with potential symptoms of a developmental disability
Design of an intelligent driving system simulation platform and its application
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments
Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image
Bayesian inference for neural network based high-precision modeling
Parallel reactive tabu search for job-shop scheduling problems considering energy management
Redundant robot control with learning from expert demonstrations
Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm
Approximated environment features with application to trajectory annotation
Spatio-Temporal Reconstruction and Visualization of Plant Growth for Phenotyping
Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data
A fast inverse approach for the quantification of set-theoretical uncertainty
Acceleration of data handling in neural networks by using cascade classification model
On the Use of Predation to Shape Evolutionary Computation
Information Theoretic Approach for Modeling Bounded Rationality in Networked Games
Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network
MICPSO: A method for incorporating dependencies into discrete particle swarm optimization
Co-evolving Real-Time Strategy Game Micro
Exploring diagnostic models of Parkinson's disease with multi-objective regression
Drivers-inspired ants for solving the Vehicle Routing Problem with Time Windows
Motion Identification of fingerspelling by Wrist EMG Analysis
Enhancing exercise experience with individual multi-emotion provoking game elements
Reservoir generation via simulating the non-local connections between brain functional columns
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution
Bacterial memetic algorithm based feature selection for surface EMG based hand motion recognition in long-term use
Website Privacy Notification for the Visually Impaired
A Review of Computational Intelligence for StarCraft AI
Mutual-Information-based Feature Selection for Facial Emotion Recognition on Light-Weight Devices
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC 2 MFN) for Building Segmentation of InSAR images
Membrane System-based Optimization Algorithm for Numeric Optimization Problem
Improving the Accuracy of License Plate Detection and Recognition in General Unconstrained Scenarios
Fault tolerant task mapping on many-core arrays
Implementation of Reduced Precision Integer Epigenetic Networks in Hardware
Zero-Reference Fractional-Order Low-Light Image Enhancement Based on Retinex Theory
Fast Face Recognition Model without Pruning
Calibrating Probability with Undersampling for Unbalanced Classification
Evaluation of Gender Bias in Masked Face Recognition with Deep Learning Models
Simulating and reconstructing neurodynamics with Epsilon-automata applied to electroencephalography (EEG) Microstate Sequences
6D Object Pose Estimation using Few-Shot Instance Segmentation and 3D Matching
Development of Food Texture Sensor Using Two Magnetic Sensing Elements
Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine
Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming
Bias and Fairness in Computer Vision Applications of the Criminal Justice System
Local-utopia policy selection for multi-objective reinforcement learning
Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes
Electrical Energy Consumption Forecast Using External Facility Data
Echo state neural network based ensemble deep learning for short-term load forecasting
EEG-Analysis for Classification of Touch-Induced Affection by Type-2 Fuzzy Sets
Hybrid Flowshop Scheduling using Leaders and Followers: An Implementation with Iterated Greedy and Genetic Algorithm
Fuzzy density based clustering with generalized centroids
Co-evolving morphology and control of soft robots using a single genome
Solving the Traveling Salesperson Problem using Frequency Fitness Assignment
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud
Preserving diversity in auxiliary objectives provably speeds up crossing plateaus
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach
The Ethical Landscape of Data and Artificial Intelligence: Citizen Perspectives
Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training
Generalwise Separable Convolution for Mobile Vision Applications
Passivity and Synchronization of Coupled Complex-Valued Memristive Neural Networks
Improving Effectiveness and Efficiency in Wagner's Modularity-Evolving Artificial Gene Regulatory Networks
Self-Efficacy and Kinematics: Establishing a Relationship between Kinematics and Task Challenge of a Goal Directed Reaching Task in Unimpaired Adults
Spherical optical flow in automatically controlled vehicle while cornering
Maximal Sequence Mining approach for topic detection from microblog streams
A Multi-View Unified Feature Learning Network for EEG Epileptic Seizure Detection
Cooperative coevolution using the Brain Storm Optimization Algorithm
Data Analysis of Lead Contamination in New York
Open-Endedness Induced Through a Predator-Prey Scenario Using Modular Robots
Analysis of Particle Swarm Optimisation for Training Support Vector Machines
A Deep Neural Network for Finger Counting and Numerosity Estimation
Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms
A surrogate-assisted memetic algorithm for interval multi-objective optimization
Data Donations for Mapping Risk in Google Search of Health Queries: A case study of unproven stem cell treatments in SEM
Disentangled (Un)Controllable Features
Intention-based front-following control for an intelligent robotic rollator in indoor environments
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification
Applying Computational Intelligence for enhancing the dependability of multi-cloud systems using Docker Swarm
Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks
State Parameter Prediction of Fire Based on Extreme Learning Machine
Investigating RNNs for vehicle volume forecasting in service stations
Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG
Image clustering based on deep sparse representations
A hierarchical visual recognition model with precise-spike-driven synaptic plasticity
Predicting the Trends of Stock Price By Social Networks and Fuzzy Deep Support Vector Machine
Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study
Robustness and Real-Time Performance of an Insect Inspired Target Tracking Algorithm Under Natural Conditions
A redundantly actuated ankle rehabilitation robot and its control strategies
Relative torque contribution based model simplification for robotic dynamics identification
Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET
Different Haze Image Conditions for Single Image Dehazing Method
On F-transforms, L-fuzzy partitions and L-fuzzy pretopological spaces
Construction of Domain-Specific Lexicons Based on Term Statistics
Enhanced Scheduling for Real-Time Traffic Control
Machine Learning Approaches for Community Detection in Online Social Networks
Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users
A Study on the Impact of Alcoholism on EEG-based Cryptographic Key Generation Systems