yusuke1997/dblp-id-title huggingface dataset:
Fourier U-Shaped Network for Multi-Variate Time Series Forecasting
On the Robustness of Random Walks for Fitness Landscape Analysis
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior
Visual Image Classification Based on Auto-Associative Memory
EEG-BASED TNN for Driver Vigilance Monitoring
Altitude identification and intelligent control of a flapping wing micro aerial vehicle using modified generalized regression neural networks
Developing Interpretable Machine Learning for Forward Kinematics of Robotic Arms
Chemical concentration map building using whale optimization algorithm
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem
Deep Learning Based Photometric Stereo from Many Images and Under Unknown Illumination
Efficient Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles Using Deep Learning
Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN
Cooperative Guidance Law Design on Simultaneous Attack for Multiple Missiles under Time-Delayed Communication Topologies
Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling
Polynomial-chaos-kriging-assisted efficient global optimization
Data-Driven Robust and Sparse Solutions for Large-scale Fuzzy Portfolio Optimization
A Authentication and Access Authorization Mechanism on the PaaS Platform
MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization
A Study on Dynamic Positioning System Robustness with Wave loads predictions from Deep Belief Network
On static control of swarm systems
Microarray data classification using neuro-fuzzy classifier with firefly algorithm
Lockout-Tagout Ransomware: A Detection Method for Ransomware using Fuzzy Hashing and Clustering
Estimating force mix lower bounds using a multi-objective evolutionary algorithm
Learning the optimal state-feedback using deep networks
On Perturbations of Multisets
An adaptive spiking neural controller for flapping insect-scale robots
Analyzing quality clarinet sound using deep learning. A preliminary study
Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches
Nurturing promotes the evolution of reinforcement learning in changing environments
Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks
A dynamic data-driven model for optimizing waste collection
Fuzzy logic adjustment for power sharing in wind and PV-based isolated microgrid
Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data
Semantically Enhanced System and Automation Design of Complex Marine Vessels
Distributed fitness landscape analysis for cooperative search with domain decomposition
A bibliometric analysis of the first thirty years of the International Journal of Intelligent Systems
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning
A Genetic Algorithm for Finding Regular Graphs with Minimum Average Shortest Path Length
Faster R-CNN Based Indoor Flame Detection for Firefighting Robot
Intelligent energy management using CBR: Brazilian residential consumption scenario
Face Recognition Based on The Improved MobileNet
FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking
Analysis and Selection of Classifiers for Gesture Characteristics Recognition Based on MGRS Framework
Deep Learning Based Biomedical NER Framework
Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features
MiGHT, a multi-level Gillespie hybrid tracked modeling framework which allows for cellular and environmental adaptivity
Improved Evolutionary Strategies for Sparse Large-Scale Many-objective Optimization Problems
BCINet: An Optimized Convolutional Neural Network for EEG-Based Brain-Computer Interface Applications
Automated Artifacts and Noise Removal from Optical Coherence Tomography Images Using Deep Learning Technique
Normalized Post-training Quantization for Photonic Neural Networks
The Computational Intelligence Methods for the Armed Forces Capabilities Allocation Problem
Evaluation of latent dirichlet allocation for document organization in different levels of semantic complexity
Assisting fuzzy offline handwriting recognition using recurrent belief propagation
MAIM: A Novel Hybrid Bio-inspired Algorithm for Classification
Improved sparse prototyping for relational K-means
Integrated Connectivity-based Stacking Ensemble Learning with GCNNs for EEG Representation
Cross-subject classification of cognitive loads using a recurrent-residual deep network
Optimal Public Electric Bus Fleet Charging Schedule with Solar and Energy Storage Considering Static and Dynamic Route Assignment
A novel self-adaptive differential evolution for feature selection using threshold mechanism
On Fuzzy Preordered Sets and Monotone Galois Connections
Astrocyte to spiking neuron communication using Networks-on-Chip ring topology
Simultaneous Improvement to Signal Integrity and Electromagnetic Interference in High-Speed Transmission Lines
Unraveling Body Vitals as Traumatic Event-Caused Stress Indicators
Towards Responsible AI for Financial Transactions
Adaptation and contextualization of deep neural network models
Playing a Multi-action, Adversarial Game in a Dynamic Environment
VPP Energy Resources Management Considering Emissions: The Case of Northern Portugal 2020 to 2050
Feature Selection Based on Twin Support Vector Regression
Ant Colony Optimization for First-Order Rule Discovery
A hybrid genetic algorithm for vehicle routing problems with dynamic requests
Partial preference models using translated cones in discrete multi-objective optimization
An Enhanced Set-based Evolutionary Algorithm for Generating Test Data that Cover Multiple Paths of a Parallel Program *
Classification of Pulse Repetition Interval Modulations Using Neural Networks
Basic algorithms for bee hive monitoring and laser-based mite control
The emergency response management based on Bayesian decision network
What Is the Optimal Annealing Schedule in Quantum Annealing
Image Caption Generation Based on Image-Text Matching Schema in Deep Reinforcement Learning
Multistage localization in wireless sensor networks using artificial bee colony algorithm
A Differential Evolution Approach for the Reliability Constrained Unit Commitment Problem
Analysis of integration of financial series classification and constrained portfolio optimization
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming
Probabilistic scoring of validated insights for personal health services
Tensor representation in high-frequency financial data for price change prediction
Folksonomy Based Fuzzy Filtering Recommender System
Comparative Study of Recent Multimodal Evolutionary Algorithms
Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters
Development of sentiment indicators using both unlabeled and labeled posts
Distributed Average Tracking with Event-Triggered Algorithms of Multi-Agent Systems
JuzzyPy - A Python Library to Create Type - 1, Interval Type-2 and General Type-2 Fuzzy Logic Systems
Routing Sales Territory by Solving a TSP Variant with Genetic Algorithm in a Multi-constraint and Complicated Real-world Application
A wireless peer-to-peer broadcast model for emergency vehicles using automotive networking
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery
Classification of smoking status: The case of Turkey
Capsule Dynamic Network-Based Object Detection Algorithm
A Cost-Sensitive Centroid-based Differential Evolution Classification Algorithm applied to Cancer Data Sets
An SVM parameter learning algorithm scalable on large data size for driver fatigue detection
Temporary Suspension brings about the Cooperative Evolution in the Hawk-Dove Game : Temporary Suspension in the Hawk-Dove Game
Efficient Practice for Deep Reinforcement Learning
Pattern recognition neural network as a tool for pest birds detection
Role of Boundary Dynamics in Improving Efficiency of Particle Swarm Optimization on Antenna Problems
Network Visualization of Population Dynamics in the Differential Evolution
Memetic robot control evolution and adaption to reality
A Simulation Method of Personnel Evacuation Management Based on Mulit-Agent Models
Adaptation of population size according to current population diversity in differential evolution
Creating Adjustable Human-like AI Behavior in a 3D Tennis Game with Monte-Carlo Tree Search
A medical Q&A system with entity linking and intent recognition
Authorship Attribution via Evolutionary Hybridization of Sentiment Analysis, LIWC, and Topic Modeling Features
Physics Compliance as a Metric for Neural Network Uncertainty
A comparative study of meta-heuristic algorithms for solving UAV path planning
Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution strategies for State Estimation in Distribution Systems using Just in Time Modeling and Correntropy
Reactive Concept Drift Detection Using Coresets Over Sliding Windows
Computational offloading Strategy based on Dynamic Particle Swarm for Multi-User Mobile Edge Computing
Finite-time Switching Synchronization of Four Real Chaotic Systems with Combination Mode
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization
A Pdf-Free Change Detection Test for Data Streams Monitoring
Searching for Splitting Criteria in Multivariate Decision Tree Using Adapted JADE Optimization Algorithm
Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential
Two-level Fuzzy Logic Evaluation System for Surgeon's Hand Movement Using Object Detection
Model-Based Outlier Detection for Object-Relational Data
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks
The Non-Walking Triangle Optimization Representation: Enabling Monte Carlo Tree Search-like Methods for Real Parameter Optimization Problems
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances
On the mechanisms of imitation in multi-agent systems
The (1+1)-EA on Noisy Linear Functions with Random Positive Weights
A Linear Polynomial NARMAX Model with Multiple Factors to Forecast Day-Ahead Electricity Prices
Heterogeneous Multiobjective Differential Evolution for Electric Vehicle Charging Scheduling
EvoBoids: Co-design of a physical and virtual game using Artificial Evolution
Gesture Driven Remote Robot Manoeuvre for Unstructured Environment
Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO
Dependence structure of Gabor wavelets for face recognition
A Customized Niching Methodology for the Many-Objective Pathfinding Problem
Portfolio Return Maximization using Robust Optimization and Directional Changes
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features
Multivariate time-varying volatility modeling using Probabilistic Fuzzy Systems
A Machine Learning Based Approach to Detect Malicious Fast Flux Networks
Processing threshold in an IEEE 802.11a/g/p receiver over GNU radio: A fuzzy logic application
Evolutionary Algorithm with Nonsequential Chromosome Decoder for the Vehicle Routing Problem
For a refoundation of Artificial Immune System research: AIS is a Design Pattern
Time series forecasting with missing data using neural network and meta-transfer learning
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition
Objective versus Non-Objective Search in Evolving Morphologically Robust Robot Controllers
A GRASP approach for Symbolic Regression
A Game Theory Approach to Attack-Defense Strategy for Perception of Connected Vehicles
Distributed Ensemble Feature Selection Framework for High-Dimensional and High-Skewed Imbalanced Big Dataset
Constructing Probable Explanations of Nonconformity: A Data-Aware and History-Based Approach
The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms
On Comparison of Some Representations for the Evolution of Quantum Operators
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere
Spiking response model for uniaxial carbon concrete experimental data
Data Science for K-12 Education
Merging and splitting maneuver of platoons by means of a novel PID controller
A Ripple Spreading Algorithm for Free-Flight Route Optimization in Dynamical Airspace
Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems
Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis
Generation of Human-Like Movements Based on Environmental Features
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem
Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots
Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks
Optimizing multi-plateau functions with FSS-SAR (Stagnation Avoidance Routine)
Autonomous Target Allocation Recommendations
Exploiting the Differential Wavelet Domain of Resting-State EEG Using a Deep-CNN for Screening Parkinson's Disease
Three-dimensional graph drawing by Kamada-Kawai method with Barzilai-Borwein method
Deep Domain Adaptive Object Detection: a Survey
MagicGlove: Estimation for Flexion Angle of Fingers
Negative selections in ensemble learning
Aggregation of Subclassifications: Methods, Tools and Experiments
UAV path planning in the presence of static and dynamic obstacles
AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks
An $L_{0}$-Norm Constrained Unsupervised Non-Negative Matrix Factorization Algorithm for Privacy Preserving Energy Usage Decomposition
Averaging Methods using Dynamic Time Warping for Time Series Classification
An Experience with Multi-sensor Robot for Adaptive Human Sensing
ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models
The Effects of Adaptive Control on Learning Directed Locomotion
IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, December 5-8, 2023
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Ressource-Efficient Moth Detection for Pest Monitoring with YOLOv5
Brain machine interface for useful human interaction via extreme learning machine and state machine design
Efficient Method for High-Resolution Fingerprint Image Enhancement Using Deep Residual Network
Adaptive IDEA for Robust Multiobjective Optimization, Application to the r-TSALBP-m/A
Automatic annotation of pedestrians in thermal images using background/foreground segmentation for training deep neural networks
Deep Active Perception for Object Detection using Navigation Proposals
Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models
A bilingual cognitive robot that learns like a toddler
Learning autoencoded radon projections
Concise iterative algorithms on the state feedback form for model predictive control and stability analysis of regime switching systems
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information
Output constrained adaptive dynamic programming for continuous-time nonlinear systems
A study on estimation of distribution algorithm based on a partial differential equation model
Conditional Inpainting Generative Flow
Amygdala and ventral striatum population codes implement multiple learning rates for reinforcement learning
Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields
Robot PID Control Using Reinforcement Learning
Continuous Parameter Pools in Ensemble Differential Evolution
Modeling Graduates' High Quality Employment Based on Support Vector Machine
Automatic Personality Prediction: A Systematic Mapping Study
Surrogate modeling and knowledge extraction in ga applied to a parameter's estimation case
Short-Term Trajectory Planning in TORCS using Deep Reinforcement Learning
Piecewise Simplification Approach for Accurate and Understandable Model
Collaborative Clustering: How to Select the Optimal Collaborators?
Aircraft 4D Trajectories Planning Under Uncertainties
Study on the damages detection of 3 dimensional and 6 directional braided composites using FBG sensor
Investigation of Multi-Objective Optimization criteria for RNA design
Biological Goal Seeking
Stochastic Positivity and Stability Analysis for Discrete-Time Linear Systems
A threat evaluation model for small-scale naval platforms with limited capability
Evolving Design Modifiers
Space and Time Efficiency Analysis of Data-Driven Methods Applied to Embedded Systems
Spike trains encoding and threshold rescaling method for deep spiking neural networks
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems
Automatic multi-step signature derivation from taint graphs
Revisiting Determinants of Investor Sentiment in the FX Option Market by Machine Learning Approaches
Chaos, Machine Learning and Deep Learning based Hybrid to forecast Consumer Price Index Inflation in India
Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms
Machine learning paradigms for weed mapping via unmanned aerial vehicles
Advanced parallel copula based EDA
An ensemble of deep learning architectures for automatic feature extraction
Dendrite Morphological Neural Networks trained by Differential Evolution
Simultaneous structure design optimization of multiple car models using the K computer
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field
A New Approach to Multidisciplinary System Analysis under Aleatory Uncertainty
Third-Party Cold Chain Medicine Logistic Provider Selection by a Rough Set-Based Gained and Lost Dominance Score Method
Novel Bidirectional Multimodal System for Affective Human-Robot Engagement
Towards a Safety Culture in Workplaces: Intelligent Rest Breaks and Social Support
Feature reduction for simplified handwritten digit classification model
The Adversarial UFP/UFN Attack: A New Threat to ML-based Fake News Detection Systems?
An Investigation of Social Influence of Group Norms on Human in Human-Robot Groups
Optimizing bio-inspired propulsion systems using genetic algorithm
A recurrent neural network based method for predicting the state of aircraft air conditioning system
Extra Domain Data Generation with Generative Adversarial Nets
Smart Data Agent for Preserving Location Privacy
Hybridizing novelty search for transfer learning
An Algorithm for Randomized Nonnegative Matrix Factorization and Its Global Convergence
Hierarchical Reinforcement Learning With Multi Discount Factors In A Differential Game
A Metric to Measure Contribution of Nodes in Neural Networks
Facial Recognition with Encoded Local Projections
Long and Short-Term Memory Mechanism Hybrid Model for Speed Trajectory Prediction of Heavy Haul Trains
On the Use of Dropouts in Neural Networks for System Identification and Control
Hindi Sentence Classification for Expressive Storytelling Systems
Cryptocurrency Portfolio Optimization by Neural Networks
The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise
Type-2 Fuzzy LSTM for Nonlinear System Modeling
A Constraint Satisfaction Problem (CSP) Approach for the Nurse Scheduling Problem
Modelling fuzzy partitions with fuzzy answer sets
Big data security analysis approach using Computational Intelligence techniques in R for desktop users
Conditional Constrained Graph Variational Autoencoders for Molecule Design
Variational Voxel Pseudo Image Tracking
Designing Lattices of Truth Degrees for Fuzzy Logic Programming Environments
Towards Evolving Cooperative Mapping for Large-Scale UAV Teams
Wave Environment Decomposition with Adaptive Tri-Objective Particle Swarm Optimization for Mobile Robot Path Planning
GPGPU-based identification of cointegrated portfolios
Optimizing Strategy Games: Ant Colony Optimization vs. Minimax Algorithm
Sparse feature selection method by Pareto-front exploration - Extraction of functional brain network and ROI for fMRI data
Swarm Reinforcement Learning Method Based on Hierarchical Q-Learning
Enhancing classification of mass spectrometry imaging data with deep neural networks
Particle swarm optimization for large-scale clustering on apache spark
Two-stage Unsupervised Approach for Combating Social Spammers
Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis
Exploiting Generative Models for Performance Predictions of 3D Car Designs
Galois connections in computational intelligence: A short survey
On Ordered Weighted Logarithmic Averaging Operators and Distance Measures
Image classification with recurrent attention models
On the common population diversity measures in metaheuristics and their limitations
Multi-Robot Box-Pushing Using VIKOR Induced Particle Swarm optimization
Finding Trendsetters on Yelp Dataset
Semantic-based Distance Approaches in Multi-objective Genetic Programming
Assessing the impact of self-organizing map on genetic fuzzy set hybrid intelligent systems for financial prediction
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas)
Adaptive Thompson Sampling for hyper-heuristics
Exploring the Relationship Between Topology and Function in Evolved Neural Networks
Enhancement structures for the bat algorithm
Identification of nonlinear dynamical systems by means of complex-valued fuzzy-neural multi-model
The distribution of inhibitory neurons in the C. elegans connectome facilitates self-optimization of coordinated neural activity
Ransomware Detection and Classification using Machine Learning
A multi-level encoder for text summarization
Automatic Diagnosis of Voiding Dysfunction From Sound Signal
Multi-objetive optimization problem mapping based on algorithmic parameter rankings
Rethinking Stochasticity in Neural Networks for Reinforcement Learning with Continuous Actions *
Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts
Interpretation and Analysis of Input Selection Approaches in Distance Space
Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity
Effects of centralized population initialization in differential evolution
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification
A Two-Stage Hybrid GA-Cellular Encoding Approach to Neural Architecture Search
Concept-Based Evolutionary Multi-Criteria Exploration of Design Spaces Under Run-Time Limitation
Algorithm Package of AI-Driven SDN Controller-Switch Load Balancing Strategies
Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems
Feature Selection for Fake News Classification
Linear supervised transfer learning for the large margin nearest neighbor classifier
Optimization of Kernel Method-Based Autoencoder Using Chaotic Evolution Algorithm