yusuke1997/dblp-id-title huggingface dataset:
Understanding Agent Competency: Effects of Environment Complexity on Area Coverage Time
An online storage strategy with dynamic bay reservations for container terminals
Convolutional Neural Network for Blur Images Detection as an Alternative for Laplacian Method
A Fast Algorithm for HEVC Screen Content Coding
Dynamic- Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Cryptocurrencies
Using machine learning based on eye gaze to predict targets: An exploratory study
A novel local search mechanism based on the reflected ray tracing method coupled to MOEA/D
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization
Feature Extraction with Computational Intelligence for Head Pose Estimation
Behavioral Repertoires for Soft Tensegrity Robots
Order Routing and Arbitrage Opportunities in a Multi-Market Trading Simulation
Learning Ordinary Differential Equations for Macroeconomic Modelling
Moiré Pattern Detection using Wavelet Decomposition and Convolutional Neural Network
Topological Mapping for Event-based camera using Fast-GNG and SNN
Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation
Combining real-valued and binary Gabor-Radon features for classification and search in medical imaging archives
Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned
Intelligent sensor attack detection and identification for automotive cyber-physical systems
Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection
Neighbouring link travel time inference method using artificial neural network
Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants
Auto-categorization of medical concepts and contexts
Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning
Ultimate Ecology: How a socio-economic game can evolve into a resilient ecosystem of agents
A Two-Factor Authentication Scheme based on Negative Databases
GLRT Based Anomaly Detection for Sensor Network Monitoring
Hidden tree Markov networks: Deep and wide learning for structured data
Symbolic regression for scientific discovery: an application to wind speed forecasting
Hybrid mobility model with pheromones for UAV detection task
Standardization of Gram Matrix for Improved 3D Neural Style Transfer
An Ansatz for a Theory of Living Systems
Efficient pole optimization of nonlinear laguerre filter models
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems
Cognitive relevance
Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification
Influences of Artificial Speciation on Morphological Robot Evolution
Cyber Intrusion Prediction and Taxonomy System Using Deep Learning And Distributed Big Data Processing
Concurrently searching branches in software tests generation through multitask evolution
Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach
Identifying flight delay patterns using diverse subgroup discovery
A Hidden Feature Selection Method based on l2, 0-Norm Regularization for Training Single-hidden-layer Neural Networks
A computational model based on human performance for fluid management in critical care
Stabilization of Uncertain Stochastic Nonlinear Delay Systems Subject to Event-Triggered Mechanism
Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning
Cooperative Control for Stochastic Multi-Agent Systems With Asymmetric Hysteretic Quantizer
Constraint Handling Methods for Portfolio Optimization Using Particle Swarm Optimization
An Efficient Nature-Inspired Method to Solve the Shortest Path Tour Problem
Type-2 Fuzzy Logic Induced Gesture Recognition for Robot Task Planning
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach
Deep Learning Approaches to Remaining Useful Life Prediction: A Survey
Grid-Connected Renewable Energy Microgrids: A Systematic Review
Enhancing Document Digitization: Image Denoising with a Cycle Generative Adversarial Network
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm
Production scheduling with a piecewise-linear energy cost function
Instrumenting Parametric Physical Layout for Multi-objective Optimisation
A stigmergy-based aggregation method for swarm robotic system
Quantifying Sustainability in a System of Coupled Tipping Elements
A User-Adaptive Online Learning Approach of Real-Time Gait Phase Detection for Walking Assistance
Effects of the Audience Robot on Robot Interactive Theater Considering the State of Audiences
Using Cultural Algorithms to Improve Wearable Device Gesture Recognition Performance
Method of sequential classification for pre-grouping hand movements classes for fast labeling process of an electromyographic signals
Opposition-Based Crossover Operation for Differential Evolution Algorithm
Impact of Communication Topology on PSO-based Swarms in Vector Fields
Study of Normalization and Aggregation Approaches for Consensus Network Estimation
Fine tuning lasso in an adversarial environment against gradient attacks
A Variable Block Insertion Heuristic for Single Machine with Release Dates and Sequence Dependent Setup Times for Makespan Minimization
Appearance-Based Gaze Estimation Enhanced with Synthetic Images Using Deep Neural Networks
Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation
A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids
Example Mining for Incremental Learning in Medical Imaging
Transfer Clustering Based on Gaussian Mixture Model
Classification of EEG signals using fractal dimension features and artificial neural networks
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
An Infinity Norm-Based Pseudo-Decentralized Discrete-Time Algorithm for Computing Algebraic Connectivity
Neutrosophic Fuzzy Selected Element Reduction Approach (NF-SERA): Assessment of E-Scooter Parking Area
Robotic Immune Systems: An Architecture
Improved Constructive Cooperative Coevolutionary Differential Evolution for Large-Scale Optimisation
EEG analysis for short term memory modeling in visually explored shape recognition tasks
Discovery of rare causal knowledge from financial statement summaries
Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks
High Dimensional Data Stream Clustering using Topological Representation Learning
Metric-Based Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework
Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions
An algorithm for diagnosis of faults and power quality problems in radial distribution networks
Highway Cluster Density and Average Speed Prediction in Vehicular Ad Hoc Networks (VANETs)
Modeling time-sensitive swarm dynamics
A Clustering-Based Support Vector Classifier for Dynamic Time-Linkage Optimization
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition
Improving Diversity in Concept Drift Ensembles
Clustering of time series using hybrid symbolic aggregate approximation
Heuristic Hybridization for CaRSP, a multilevel decision problem
Adaptive Dynamic Programming-based Decentralized Sliding Mode Optimal Control for Modular and Reconfigurable Robots
Domain Adaptation with One-step Transformation
Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating
Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers
The Index System of Mobile Health Application Based on the AHP-Fuzzy Comprehensive Evaluation Method
Voltage-Violation Mitigation in Power System Networks With Photo-Voltaic Penetration
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm
The Ripple-Spreading Algorithm for the $k$-Color Shortest Path Problem
A new protocol for on-line user identification based on hand-writing characters
Human Pose Detection Through Searching in 3D Database With 2D Extracted Skeletons
Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers
Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites
A Zoning Search Strategy for Differential Evolution Variants
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA
Spiking Neural Network-based Structural Health Monitoring Hardware System
Increasing attacker engagement on SSH honeypots using semantic embeddings of cyber-attack patterns and deep reinforcement learning
Robust Trajectory Tracking of Delta Parallel Robot Using Sliding Mode Control
An investigation into the effect of unlabeled neurons on Self-Organizing Maps
Autonomous Learning with Automatically Created Models and a Novel Model Selection
Optimal orderings of k-subsets for star identification
Who Did This: Identifying Causes of Emergent Behavior in Complex Systems
Optimal Lagrangian Multipliers for the Multidimensional Knapsack Problem: a Bayesian Optimisation Approach
Convergence Analysis of Gravity-Based Clustering (GBC) Algorithm
The Crucial Role of Sensitive Attributes in Fair Classification
An Investigation of Automated Design of VMAF
Hybridized Ant Colony System for Tasks to Workstations Assignment
Image Forgery Detection Algorithm Using Particle Swarm Optimization
A private Intelligent Shopping Mall
Study on Index Model of Tropical Cyclone Intensity Change Based on Projection Pursuit and Evolution Strategy
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds
Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
Hardware implementation of Social-Insect-Inspired Adaptive many-core task allocation
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data
Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System
Empirical Study of Population-Based Dynamic Constrained Multimodal Optimization Algorithms
Experience on material implication computing with an electromechanical memristor emulator
Optimal Source-Grid-Load Coordinated Scheduling of the Distribution Network Considering Economic and Environmental Benefits
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting
A deep learning based stock trading model with 2-D CNN trend detection
Discriminant analysis and feature selection for emergency department readmission prediction
An Adaptive Model Management Strategy: Balancing Exploration and Exploitation
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules
Energy-efficient hybrid CMOS-NEMS LIF neuron circuit in 28 nm CMOS process
Convolutional Ensemble Network for Image Classification
Pareto Dominance-based MOEA with Multiple Ranking methods for Many-objective Optimization
Robustness of the Scale-free Spiking Neural Network with Small-world Property
Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images
Robust data processing in the presence of uncertainty and outliers: Case of localization problems
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset
Stock Price Movement Prediction based on Optimized Traditional Machine Learning Models
Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection
Investigation of Replicating Tiles in Cellular Automata Designed by Evolution Using Conditionally Matching Rules
Comparative text analytics via topic modeling in banking
Investigation of particles behaviors of piecewise-linear particle swarm optimizer
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
Investigating the Democracy Behavior of Swarm Robots in the Case of a Best-of-n Selection
Kernel Matrix-based Spd Representation For Graph Learning
Achieving robust adaptive CMAC control by overlayering basis functions
Intention Detection of Gait Adaptation in Natural Settings
Interoperability of security and quality of Service Policies Over Tactical SOA
Bio-acoustic emotion recognition using continuous conditional recurrent neural fields
Agent-Based Modelling of the spread of COVID-19 in Corsica
Improved Moth-Flame Optimization Based on Opposition-Based Learning for Feature Selection
While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible
A Novel Approach of Neural Topic Modelling for Document Clustering
A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs
Generating random fuzzy (capacity) measures for data fusion simulations
Classification Using Probabilistic Random Forest
Performance Indicator in Multilinear Compressive Learning
On Filter Size in Graph Convolutional Networks
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling
Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks
Capsule Network for Finger-Vein-based Biometric Identification
Performance comparison of differential evolution driving analytic programming for regression
Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition
Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection
Perception Net: A Multimodal Deep Neural Network for Machine Perception
Subject and Activity-wise Performance for Activity Independent Person Recognition
Lumped mini-column associative knowledge graphs
Coordinated warehouse order picking and production scheduling: A NSGA-II approach
Incorporating Dynamic Exploration Strategy for RNA Design
What Drives Evolution of Self-Driving Automata?
Evolutionary NAS with Gene Expression Programming of Cellular Encoding
Feature Reduction for Dimensional Emotion Recognition in Human-Robot Interaction
Face Recognition Based on Global and Local Feature Fusion
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings
Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials
Adversarially Robust Deepfake Video Detection
Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization
Finding the k Shortest Paths for Co-Evolutionary Path Optimization
Data-driven robust regulation of nonlinear systems with mismatched disturbances
Machine Learning-Based Models for Assessing Physical and Social Impacts Before, During and After Hurricane Michael
Performance comparison of feature reduction techniques in-terms of compactness, computation time and accuracy
Early Prediction of Hemoglobin Alc: A novel Framework for better Diabetes Management
FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway
Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack
Evolving Optimal Convolutional Neural Networks
Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME)
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace
Industrial Device Monitoring and Control System based on oneM2M for Edge Computing
Data Augmentation for Cardiovascular Time Series Data Using WaveNet
Dempster-Shafer logical model for fuzzy Description Logics
Evaluation of Graph Convolutions for Spatio-Temporal Predictions of EV-Charge Availability
Solar Irradiance Forecast using Long Short-Term Memory: A Comparative Analysis of Different Activation Functions
A Framework for Analyzing Ransomware using Machine Learning
Hybrid GA-PCA Feature Selection Approach for Inertial Human Activity Recognition
Where is safe: Analyzing the relationship between the area and emotion using Twitter data
A Double-Layer Subsumption Mechanism for Enforcing Sequential Behaviors in a Cognitive Architecture
Wind speed prediction using multidimensional convolutional neural networks
Self-Adaptive Sampling in Noisy Multi-objective Optimization
Scheduling of stochastic distributed assembly flowshop under complex constraints
Synthesis of Neural Networks using Entangled Neurons
Potentials of Using One-Class SVM for Detecting Protocol-Specific Anomalies in Industrial Networks
Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs
Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity
Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms
Comparing exploration strategies for Q-learning in random stochastic mazes
Selection-based Per-Instance Heuristic Generation for Protein Structure Prediction of 2D HP Model
Interpreting and analyzing a location-based social network by fuzzy formal contexts
A Braess's Paradox Inspired Method for Enhancing the Robustness of Air Traffic Networks
Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks
P2V: Effective Website Fingerprinting Using Vector Space Representations
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data
Video-Based Skeleton Data Analysis for ADHD Detection
A novel stability criterion for fuzzy hyperbolic time-delay system based on dynamic delay partitioning approach
Fuzzy Hashing Aided Enhanced YARA Rules for Malware Triaging
Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race
Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population
A recommendation system by collaborative filtering including information and characteristics on users and items
The GM AI Foundry: A Model for Upskilling SME's in Responsible AI
An effective EA for short term evolution with small population for traffic signal optimization
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization
Survey on Copyright Laws about Music Generated by Artificial Intelligence
Assessment of Atmospheric Impact of Environmental Governance Policies in Central China
A New Approach to Generate Solutions Combining Crossover and Estimation of Distribution Operators for EMO Algorithm
Scaling Multi-Objective Optimization for Clustering Malware
A Statistical Evaluation of Vector-space Models for Text Categorisation
Analyzing Machine Performance Using Data Mining
Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence
A Cognitive Ensemble Classifier based on Risk Sensitive Hinge Loss Function for Alzheimer's Disease diagnosis in early stages
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks
Integration of Structural Equation Models and Bayesian Networks for Cognitive Load Modeling
Structure Optimization of Neural Networks with L1 Regularization on Gates
A Closed-Loop AR-based BCI for Real-World System Control
On the Choice of Unique Identifiers for Predicting Pareto-Optimal Solutions Using Machine Learning
Agent-based model using adjacent possible space for generating waves of novelty
An Incremental Learning Ensemble Method for Imbalanced Credit Scoring
RBFN Networks-based Models for Estimating Software Development Effort: A Cross-validation Study
Short term load forecasting using multiple linear regression for big data
Immunization of networks using genetic algorithms and multiobjective metaheuristics
A genetic planner for mission planning of cooperative agents in an underwater environment
Model-based Empowerment Computation for Dynamical Agents
Configurational optimizer of Combined Cycle Propulsion using Genetic Programming
Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks
Autonomous navigation and landing of large jets using Artificial Neural Networks and learning by imitation
Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants
Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities
Balancing Utility and Fairness against Privacy in Medical Data
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
Design of Intelligent Unmanned Vehicle Handling Simulation System
Automatic detection of acute kidney injury episodes from primary care data
On the existence of feature bundles and their effect on symbolic regression algorithms
Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification
DIDD: Identifying and Learning New Conceptual Data with Lower Diversity
Prediction model of response to standardized painful stimulation during general anesthesia: Applying machine learning to the EEG signal
Optimal N-ary ECOC Matrices for Ensemble Classification
Training a simulated bat: Modeling sonar-based obstacle avoidance using deep-reinforcement learning
A Novel Approach Toward X-RAY Images Classifier
Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
Neural Network Design: Learning from Neural Architecture Search
Photometric redshift estimation: An active learning approach
Multiple feature construction in classification on high-dimensional data using GP
Regression learning on patches
Estimation of angle based on EMG using ANFIS
Efficient Decision Making under Uncertainty in a Power System Investment Problem
Measuring agreement on linguistic expressions in medical treatment scenarios
Particle Swarm Optimization with Minimum Spanning Tree Topology for Multimodal Optimization
Coevolutionary Deep Reinforcement Learning
Autopilot Design for Unmanned Combat Aerial Vehicles (UCAVs) via Learning-based Approach
Kansei clothing retrieval system using features extracted by autoencoder
Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization
Detecting malicious URLs using machine learning techniques
Scalable Partial-ACO Applied to Fleet Optimisation: Sampling and Multi-Colony Approaches
Data-based robust near-optimal decentralized stabilization of unknown large-scale systems
Adaptive weight vector assignment method for MOEA/D
Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot
Associative Data Model in Search for Nearest Neighbors and Similar Patterns
From news to company networks: Co-occurrence, sentiment, and information centrality
Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition
Slopewise Aggregate Approximation SAX: keeping the trend of a time series
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
One run to attack them all: finding simultaneously multiple targeted adversarial perturbations
Multi-objective optimization of plug-in electric vehicle charging prices
A symbolic framework for recognizing activities in full motion surveillance videos
Model-based fault detection algorithm for photovoltaic system monitoring
Decision Support Component for the Localized Epidemiological Modelling of COVID-19
Multi-Objective Structure and Parameter Evolution of Neuro-Fuzzy Systems
Pair Trading with an Ontology of SEC Financial Reports