yusuke1997/dblp-id-title huggingface dataset:
A Linguistically Interpretable ELANFIS for Classification Problems
A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification
WRF Model Based Quantized Kernel Adaptive Filter for PM2.5 Concentration Online Prediction
A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem
Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm
Evolution of linkages for prototyping of linkage based robots
Fuzzy Detectors Against Adversarial Attacks
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
Towards predictive and decentralized bio-inspired navigation models for distributed systems
A preferred learning based adaptive differential evolution algorithm for large scale optimization
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving
Stochastic synapse reinforcement learning (SSRL)
Statistical Tests Ensemble Drift Detector
Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means
Vulnerability Detection in Firmware Based on Clonal Selection Algorithm
Fuzzy Logic Control and Fault Detection in Centralized Chilled Water System
A Hybrid Decoupled Method For Tertiary Voltage Control of Active Distribution Networks
Neuroevolution Architecture Backbone for X-ray Object Detection
Invariant Perception for Grasping an Unknown Object Using 3D Depth Sensor
Solution recombination in an indicator-based many-objective ant colony optimizer for continuous search spaces
A Brief Review of Multi-Concept Multi-Objective Optimization Problems
Triangular Fuzzy Partitioned Bonferroni Mean Operators and Their Application to Multiple Attribute Decision Making
A ground level causal learning algorithm
Automatic Composite Action Discovery for Hierarchical Reinforcement Learning
Population-based Search Relying on Spatial and/or Temporal Scale-free Behaviors of Individuals
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor
A framework for evaluating meta-models for simulation-based optimisation
Bridging the Gap between Robotic Applications and Computational Intelligence in Domestic Robotics
Distributed control of leader-follower systems under adversarial inputs using reinforcement learning
A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections
A hierarchical maze navigation algorithm with Reinforcement Learning and mapping
Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles
Newton Method-Based Subspace Support Vector Data Description
Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication
Fixation Prediction based on Scene Contours
NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement
Learning CNN architecture for multi-view text classification using genetic algorithms
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation
Online Neural-Detection of False Data Injection Attacks on Financial Time Series
Bayesian Optimization for the Inverse Problem in Electrocardiography
Real-Time Object Detection with Automatic Switching between Single-Board Computers and the Cloud
Scaling up the self-optimization model by means of on-the-fly computation of weights
Fake News Detection: An Application of Quantum K-Nearest Neighbors
Autonomous decision making by the self-generated priority under multi-task
Dynamic economic emission dispatch through evolutionary multiobjective optimization: An experimental study
A Proactive-Reactive Approach for Dynamic Hybrid Berth Allocation Problem Considering Vessels Arrival Delay
Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution
Road detection using lidar data based on plane assumption and graph model
LiDAR Data Integrity Verification for Autonomous Vehicle Using 3D Data Hiding
A Chatbot to Search for Similar Fashion Photos and Reference Fashion Coordinators via Body Part and Fashion Item Segmentations
Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies
Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources
Epileptic Seizure Prediction from EEG Signals Using DenseNet
Visualizing Parameter Adaptation in Differential Evolution with Expected Fitness Improvement
Opinion Classifier Transfer Learning from Review Data
Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game
An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems
Tradeoffs with physical delay feedback reservoir computing
Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study
Agent-based financial markets: A review of the methodology and domain
Mutation operators based on variable grouping for multi-objective large-scale optimization
Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization
Deep Reinforcement Learning for Agile Satellite Scheduling Problem
Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming
Assessing the likelihood of cyber network infiltration using rare-event simulation
The Control of Magnetic Levitation System Based on Improved Q-network
Fuzzy Option Pricing with Data-Driven Volatility using Novel Monte-Carlo Approach
A Linear Extended State Observer-based Fuzzy Fault tolerant Controller for Autonomous Underwater Vehicle
Understanding Collective Decision-Making in Natural Swarms
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems
A Proposal of Dynamic Route Search Method to Consider the Individual Driver Preferences
A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes
A Method of EV Detour-to-Recharge Behavior Modeling and Charging Station Deployment
Evolved Neural Networks for Building Energy Prediction
Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem
Search for the real McCoy: Authorship Attribution
Broken bikes detection using CitiBike bikeshare system open data
Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning
Opposition-based ensemble micro-differential evolution
Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons
Real-Time Neural Control for Discrete Nonlinear Systems Under Unknown Input and State Disturbances
Data Augmentation On-the-fly and Active Learning in Data Stream Classification
Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction
Monotonicity conditions for radial basis function networks
Reconstructing positive surveys from negative surveys by improved artificial immune network
Laplacian-Weighted Random Forest for High-Dimensional Data Classification
Semi-supervised and Incremental VSEARCH for Metagenomic Classification
Automated Detection of Racial Microaggressions using Machine Learning
An Evolutionary Strategy Based State Assignment for Area-Minimization Finite State Machines
A ripple-spreading algorithm for network performance assessment
Learning Control Policies for Variable Objectives from Offline Data
NLOS mitigation for UWB localization based on machine learning fusion method
Multi-Machine Power System Stabilizer Design Based on Population Based Incremental Learning
Characterization of Deep Learning-Based Aerial Explosive Hazard Detection using Simulated Data
Evolutionary Learning of Private Equity Recommitment Strategies
An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy
An Evidence-Based Study of Diabetes Prevention and Management with NLP and Deep Learning
Multi-label Classification for Epileptic Seizure Recognition: Deep Neural Network Ensemble versus Choquet Fuzzy Integral Fusion
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms
Predicting credit risk in Peer-to-Peer lending with survival analysis
Decoding of Subjective Pain-Sensitivity by Brain Signal Analysis Using a General Type-2 Fuzzy Classifier
Multi-Objective Evolution for Automated Chemistry
Optimizing stock market execution costs using reinforcement learning
Optimizing Seed Set for New User Cold Start
A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization
Reservoir computing in materio: An evaluation of configuration through evolution
Finding near-optimum and diverse solutions for a large-scale engineering design problem
Application of Deep Learning in Automated Meal Recognition
Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback
A DRL based 4-r Computation Model for Object Detection on RSU using LiDAR in IloT
Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production
A cooperative co-evolutionary LSHADE algorithm for large-scale global optimization
Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem
An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers
Consumption Optimization of an Office Building using Different Approaches
P-Tree programming
Analyzing of LAM-CIoT: Lightweight Authentication Mechanism in Cloud-based IoT Environment
Semantic Mediation in Smart Water Networks
A Method for SSVEP Recognition Based on Weighted Canonical Correlation Analysis
MI-ABPSO: an Ameliorated Binary PSO for Feature Selection of Biomedical Data
A meta-heuristic with ensemble of local search operators for urban traffic light optimization
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
Characterization of CEC Single-Objective Optimization Competition Benchmarks and Algorithms
Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm
Neutral network assortativity shapes whether selective pressure promotes or hinders robustness
Aircraft Segmentation Based On Deep Learning framework : from extreme points to remote sensing image segmentation
Benefits of Social Learning in Physical Robots
Efficient AutoML via Combinational Sampling
Electric Water Heater Energy Consumption Determination Using Outlet Temperature and Volumetric Estimation
Model Predictive Control of Heating Process with Weather Forecast Compensation
Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks
A General Variable Neighborhood Search for the NoIdle Flowshop Scheduling Problem with Makespan Criterion
Monitoring Activities of Daily Living with a Mobile App and Bluetooth Beacons
Triplet-Based Regularized Diffusion Process for Improving Visual Retrieval
Abnormally detection based on feature similarity measure of image time series in zinc flotation
Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources
Using Probabilistic Attribute Aggregation for Increasing Trust in Attribute Assurance
IABC robotic evolutionary model for the foreign exchange rate prediction in Central America trading agreement events
Automatically Resolve Trouble Tickets with Hybrid NLP
Noisy Zhang-Dynamics (ZD) Method for Genesio Chaotic (GC) System Synchronization: Elegant Analyses and Unequal-Parameter Extension
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
Emotion contagion in a cognitive architecture
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification
A nature-inspired decision system for secure cyber network architecture
Exploiting structure and uncertainty of Bellman updates in Markov decision processes
A Framework to Create Collaborative Games for Team Building using Procedural Content Generation
Research on Virtual Machine Load Balancing Based on Improved Particle Swarm Optimization
Adaptive H∞ consensus control of Euler-Lagrange systems on directed network graph
Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning
Decoding of Mind-Generated Pattern Locks for Security Checking Using Type-2 Fuzzy Classifier
EEG-based Emotion Recognition Using Multi-scale Window Deep Forest
Multi-task Transfer with Practice
Exact and heuristic approaches for the multi-agent orienteering problem with capacity constraints
Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference
Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm
Portfolio Diversification with Clustering Techniques
Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering
Liquidity risk and asset movement evidence from Brexit
Optimal trajectory planning for multiple asteroid tour mission by means of an incremental bio-inspired tree search algorithm
Biogeographical Ancestry Inference from Genotype: A Comparison of Ancestral Informative SNPs and Genome-wide SNPs
Efficient actor-critic algorithm with dual piecewise model learning
RBFN Networks-Based Models for Estimating Software Development Effort: A Cross-Validation Study
Evolving Interpretable Classification Models via Readability-Enhanced Genetic Programming
Alternative Loss Functions in AlphaZero-like Self-play
Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics
Categorizing the suitability of an alternative for a subject
Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data
Social-Insect-Inspired Networking for Autonomous Fault Tolerance
A biologically inspired deep neural network of basal ganglia switching in working memory tasks
Malware classification using static analysis based features
Collaborative Computation in the Network for Remote Driving
Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics
Distributed Generation with Improved Remuneration
Maintaining Viability with Multiple Needs
Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means
The Graph Matching Optimization methodology for thin object recognition in pick and place tasks
FoodChem: A food-chemical relation extraction model
Visualization of Design-Space Constitution for Single-Stage Hybrid Rocket with Rigid Body in View of Extinction-Reignition
Toward Behavior-Based models of bat echolocation
Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study
Comparison of GPS and MEMS Support for Smartphone-Based Driver Behavior Monitoring
Hand Inertial Parameters Calculation for any Position Through the Kinematic Model
Path planning of aircraft based on adaptive multiobjective estimation of distribution algorithm
Variable Neighbourhood Search: A case study for a highly-constrained workforce scheduling problem
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study
Automated blood vessel segmentation of fundus images using region features of vessels
AIRS-GA: A hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm
Evolving random graph generators: A case for increased algorithmic primitive granularity
A Framework for Identity: Dempster-Shafer Theory the Flow and Combination of Evidence
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines
Applying design knowledge and machine learning to scada data for classification of wind turbine operating regimes
After-Stroke Arm Paresis Detection Using Kinematic Data
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access
Toward evolving robust, deliberate motion planning with HyperNEAT
Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer
Using Twitter for Next-Place Prediction, with an Application to Crime Prediction
Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme
The Internet of Tall Buildings
Temporal Behavior in Network Traffic as a Basis for Insider Threat Detection
dnyNSA: A Novel Real-Value Based Negative Selection Algorithm
Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes
A Self-Supervised Few-Shot Detection Method for Magnetic Tile Defects Detection
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design
A feature representation learning method for temporal datasets
A new fast large neighbourhood search for service network design with asset balance constraints
Adaptive H∞ consensus control of euler-lagrange systems on directed network graph by utilizing neural network approximators
Weighted Failure Probability Calculation of Overhead Distribution Line in Random Wind Field
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks
Fault Diagnosis and Evaluation of the Performance of the Overcurrent Protection in Radial Distribution Networks Based on Wavelet Transform and Rule-Based Expert System
A Parametric Study of Crossover Operators in Multi-objective Evolutionary Algorithm
Digital Twin System for Home Service Robot Based on Motion Simulation
Building Markov Decision Process Based Models of Remote Experimental Setups for State Evaluation
PAFS - An efficient method for classifier-specific feature selection
An Enhanced SqueezeNet Based Network for Real-Time Road-Object Segmentation
Differential evolution with self-adaptive mutation scaling factor
Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs
Ant Colony optimization for the Electric Vehicle Routing Problem
Iterative-Lengthening and Auxiliary Search Based Particle Swarm Optimization for Online Short-term Hydrothermal Scheduling
A method for an agile, user centered development of natural user interfaces
A Compact co-Firefly Algorithm for Matching Ontologies
On advances in development of evolutionary algorithms for chosen large optimization problems of computational mechanics
Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm
Graph embedded intuitionistic fuzzy weighted random vector functional link network
Autonomous Vehicle Control Using Particle Swarm optimization in a Mixed Control Environment
A Hybrid Model to Predict Remaining Useful Life for a Ball Bearing
Growing MIDI Music Files Using Convolutional Cellular Automata
End-to-end electroencephalogram (EEG) motor imagery classification with Long Short-Term
A New Flotation Froth Texture Feature Extraction Method Based on PCA
Efficient Multilingual Deep Learning Model for Keyword Categorization
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting
Intrusion detection of multiple attack classes using a deep neural net ensemble
Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests
Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing
Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion
Optimal energy management strategies of microgrids
A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem with Uncertain Weight Information
A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model
Identifying sunni extremist propaganda with deep learning
CS-DE: Differential Evolution with Cooperative Strategy for numerical optimization
Benchmarking Stacking Against Other Heterogeneous Ensembles in Telecom Churn Prediction
Hemodynamic Analysis for Assessment of Scientific Creative Potential of Subjects Using Capsule Graph Neural Network
Cyber Security Issues in the Industrial Applications of Digital Twins
Using a multiobjective genetic algorithm for curve approximation
Quantifying cooperation between artificial agents using synergistic information
Eager recirculating memory to alleviate the von Neumann Bottleneck
Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence
Anomaly detection in data streams based on graph coloring density coefficients
Entropy based measure sentiment analysis in the financial market
Organic memristive device as transistor: Working principle and possible applications
Identifying Critical Factors Influencing Quality of Blood Vessel Information in JPEG Compressed Skin Images
Adaptive differential evolution vs. nature-inspired algorithms: An experimental comparison
Reinforcement learning based distance metric filtering approach in clustering
Recursive Subspace identification for time-varying continuous-time stochastic systems via distribution theory
Neighbor risk reporting in vehicular networks
"Even if ..." - Diverse Semifactual Explanations of Reject
Optimizing an Antenna Array for Satellite Communications
Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices
A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features
Public-private partnership: A design issue
Procedural Content Generation of Levels with Increased Connectedness using Complex String Generators
Moonwalkers: Evolving Robots for Locomotion in a Moon-like Environment
Gradient-Free Deep Q-Networks Reinforcement learning: Benchmark and Evaluation
HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data
Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods
Distributed Collision-Avoidance Formation Control: A Velocity Obstacle-Based Approach
An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity
Pruning and aging for user histories in collaborative filtering
A comparative study of different fuzzy classifiers for Cloud Intrusion Detection Systems' alerts
Semi-supervised Image Segmentation Based on K- means Algorithm and Random Walk
Accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization
Online portfolio selection based on the posts of winners and losers in stock microblogs
Evolution of Approximate Functions for Image Thresholding
A game-theoretic pricing model for Energy Internet in day-ahead trading market considering distributed generations uncertainty
Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection
A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm
An Improved Method for Comprehensive Learning Particle Swarm Optimization
An illustration of different concepts of solutions in semivectorial bilevel programming
Multiple Instance Choquet Integral with Binary Fuzzy Measures for Remote Sensing Classifier Fusion with Imprecise Labels
A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance
Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels
Population-Based Incremental Learning with Immigrants Schemes in Changing Environments
Association Rule Mining Based Algorithm for Recovery of Silent Data Corruption in Convolutional Neural Network Data Storage
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm
A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints
A benchmark environment motivated by industrial control problems
Multi-Objective Task Allocation for Wireless Sensor Networks
Detecting Proper Mask Usage with Soft Attention