yusuke1997/dblp-id-title huggingface dataset:
A Levenberg-Marquardt Algorithm Based Incremental Scheme for Complex-Valued Neural Networks
Dynamic prediction of drivers' personal routes through machine learning
Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques
Dual Vigilance Hypersphere Adaptive Resonance Theory
Steady-State Brain Storm Optimization Using Double Roulette Selection
Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization
An Ensemble Deep Learning Approach for Enhanced Classification of Pituitary Tumors
Towards an agent-driven scenario awareness in remote sensing environments
Self-learning Wavelet Compression Method for Data Transmission from Environmental Monitoring Stations with a Low Bandwidth IoT Interface
Review of Deep Web Data Extraction
Explainable Landscape-Aware Optimization Performance Prediction
Development of crime in England and Wales 1898-2001: Data mining using self-organising map
Random Fuzzy Variable based Uncertainty Modelling for the Prediction of Human Development Index using CO2 Emission Data
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
Performance Comparison of Dynamic Time Warping (DTW) and a Maximum Likelihood (ML) Classifier in Measuring Driver Behavior with Smartphones
Accelerating Vegetation Evolution with Mutation Strategy and Gbased Growth Strategy
Solving Large-scale Relay Satellite Scheduling Problem with A Dynamic Population Firework Algorithm: A Case Study
An Ensemble Learning to Detect Decision-Based Adversarial Attacks in Industrial Control Systems
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization
Procedural maze level generation with evolutionary cellular automata
Firm risk identification through topic analysis of textual financial disclosures
Keystroke dynamics based biometric authentication: A hybrid classifier approach
Comparing Effects of Price Limit and Circuit Breaker in Stock Exchanges by an Agent-Based Model
Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling
Unsupervised Unlearning of Concept Drift with Autoencoders
Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition
IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021
Ambiguity aversion and a decision-theoretic framework using belief functions
Efficient CNN with uncorrelated Bag of Features pooling
RDS3: Ransomware defense strategy by using stealthily spare space
A differential evolution algorithm for dynamic multi-objective optimization
Level-wise Dynamic Label Assignment for Oriented Object Detection
Incremental Neural Synthesis for Spiking Neural Networks
Graph Embedding Exploiting Subclasses
On the Selection of Features for the Prediction Model of Cultivation of Sweet Potatoes at Early Growth Stage
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance
How Accurate Are Expert Estimations of Correlation?
Applicability Study of Model-Free Reinforcement Learning Towards an Automated Design Space Exploration Framework
An Improved NSGAII Algorithm Based on Site-Directed Mutagenesis Method for Multi-Objective Optimization
On Accelerated Gradient Approximation for Least Square Regression with L1-Regularization
Framework of Systems for Creating Intelligent Behaviors of Imaginary Creatures for Humans
Constructing Organism Networks from Collaborative Self-Replicators
Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm
Governing the swarm: Controlling a bio-hybrid society of bees & robots with computational feedback loops
Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem
A Quantum-inspired Particle Swarm Optimization K-means++ Clustering Algorithm
Data-Driven Based State Transition Algorithm for Dynamic Optimization
Context-driven dynamic Risk Management for maritime domain awareness
Applicability issues of Evasion-Based Adversarial Attacks and Mitigation Techniques
A problem-independent search heuristic for single machine scheduling with release dates and deadlines
Multi-objective parameter configuration of machine learning algorithms using model-based optimization
Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs
Recent advances in clonal selection algorithms and applications
Imprecise Survival Signature Approximation Using Interval Predictor Models
Air quality forecasting using neural networks
Relation Between Weight Vectors and Solutions in MOEA/D
Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques
Design of a Linear Quantum Projection Filter
Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles
Further Exploration of Necrotic Control of Evolved Art
A column generation-based heuristic for a green vehicle routing problem with an unlimited heterogeneous fleet
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
Simulated Annealing for Single and Mixed Model Assembly Line Balancing with Setups
Analysis of Grain Condition in Improved Granary Based on Grey Prediction Algorithm
Training Spiking Neural Networks Using Combined Learning Approaches
Exclusion and Inclusion: A Model Agnostic Approach to Feature Importance in DNNs
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization
Research on Node Location Technology Based on Improved Particle Swarm Optimization
Predicting metabolic syndrome using risk quantification and ensemble methods
Real-time and Robust Driver Yawning Detection with Deep Neural Networks
Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection
Omega-Algebras
A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling
Energy Consumption Forecasting Based on Long Short-term Memory Neural Network with Realistic Smart Meter Data
Hierarchical Reinforcement Learning for Non-Stationary Environments
Testing properties of fuzzy connectives and truth degrees with the latticemaker tool
Anomaly Behavior Analysis for Sensors Fault Detection
Object Detection and Pose Estimation Using CNN in Embedded Hardware for Assistive Technology
Software constraints for caves' virtual environments modeling
Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model
A Virtual Reality System for Accurate Cardiac Modeling and Multiple Virtual Operations
A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection
Simultaneous Localisation and Optimisation for Swarm Robotics
A Distributed Multi-User Access Control Middleware for Critical Applications
Overlay Community detection using Community Networks
Genetic algorithm for solving minimal exposure path in mobile sensor networks
Large-Scale Discrete Constrained Black-Box Optimization Using Radial Basis Functions
Protecting Vulnerable Road Users: Semantic Video Analysis for Accident Prediction
Exploiting a multi-device knowledge meshing to agent-based activity tracking
ADP with MCTS algorithm for Gomoku
Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images
Instantaneous Mental Workload Classification Using Semi-Supervised Learning *
Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work
An Actor-Critic Architecture for Community Detection Ablation Study
Evolution, Sympatric Speciation, and Risk Aversion
A Population Adaptation Mechanism for Differential Evolution Algorithm
Value Based Analysis of a Counter UAS Problem
Improving Deep Learning with Generic Data Augmentation
Interpretable Machine Learning Tools: A Survey
Classification of objects in geosynchronous earth orbit via light curve analysis
Sequential Information Bottleneck Network for RUL Prediction
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers
Social Distancing in Robot Swarms: Modulating Exploitation and Exploration Without Signal Exchange
The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation
CLC: Noisy Label Correction via Curriculum Learning
Can an AI perform market manipulation at its own discretion? - A genetic algorithm learns in an artificial market simulation -
Models of adaptive navigation, inspired by ant transport strategy in the presence of obstacles
PSO Trajectory Planner Using Kinematic Controllers that Ensure Smooth Differential Robot Velocities
Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems
Parallel Reactive Tabu Search for Aircraft Maintenance Routing
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems
Exploring Unsupervised Learning Methods for Automated Protocol Analysis
Analysis Eye Movements During Reading by Machine Learning Algorithms: A Review Paper
Road-network aware Dynamic Workload Balancing Technique for Real-time Route Generation in On-Demand Public Transit
Evolving Robust Solutions to Uncertain Capacitated Arc Routing Problem with Time Window
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering
Activity Recognition System for Dementia in Smart Homes based on Wearable Sensor Data
Coding and Decoding Speech using a Biologically Inspired Coding System
The Impact of Subcultures in Cultural Algorithm Problem Solving
Decision tree-based feature function design in conditional random field applied to error detection of ocean observation data
The Analysis of a Real Life Declarative Process
An intelligent Interactive Learning and Adaptation framework for robot-based vocational training
Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization
A sentiment polarity prediction model using transfer learning and its application to SNS flaming event detection
Multi-objective energy management for we-energy in Energy Internet using reinforcement learning
Reinforcement Learning-assisted Threshold Optimization for Dynamic Honeypot Adaptation to Enhance IoBT Networks Security
Multi-objective optimization of single machine scheduling with energy consumption constraints
Collaborative System Identification via Consensus-Based novel PI-like Parameter Estimator
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem
A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM)
Comparative Analyzes of Human and Machine Randomness: Insights into Decision-Making Models
On Model-guided Neural Networks for System Identification
Predicting cryptocurrency price bubbles using social media data and epidemic modelling
Diagnosis of Large for Gestational Age Fetus with an Expert-Driven Feature Selection Scheme
An Intelligent Faulted Line Diagnosis Method in Multi-terminal Power Networks via IEDs
A Data-Driven Forecasting and Solution Approach for the Dial-A-Ride Problem with Time Windows
Morphological-Novelty in Modular Robot Evolution
Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability
Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning
A Novel Assist-As-Needed Controller Based on Fuzzy-Logic Inference and Human Impedance Identification for Upper-Limb Rehabilitation
Misleading Pareto optimal front diversity metrics: Spacing and distribution
A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne
Stable sparse encoding for predictive processing
A Bayesian Discrete Optimization Algorithm for Permutation Based Combinatorial Problems
Enabling Field Force Operational Sustainability: A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Goal-Driven Simulation
Accurate Replication of Simulations of Governing Equations of Processes in Industry 4.0 Environments with ANNs for Enhanced Monitoring and Control
Evaluating factored evolutionary algorithm performance on binary deceptive functions
Deep Learning Based Plant Disease Classification With Explainable AI and Mitigation Recommendation
Fixed Set Search Applied to the Maximum Set K-Covering Problem
Adversarial authorship, interactive evolutionary hill-climbing, and author CAAT-III
Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine
Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants
Financial time-series analysis of Brazilian stock market using machine learning
Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms
Fundamentalism in a social learning perspective: A memetic agent model of vegetarianism, social interaction networks and food markets
Color Constancy Convolutional Autoencoder
Data-Driven Self-Learning Controller Design Approach for Power-Aware IoT Devices based on Double Q-Learning Strategy
Ant Colony optimization with Heuristic Repair for the Dynamic Vehicle Routing Problem
Chest radiographs segmentation by the use of nature-inspired algorithm for lung disease detection
Extending unified differential evolution with a new ensemble of constraint handling techniques
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion
An Investigation on Multi-Objective Fish Breeding Program Design
How long should offspring lifespan be in order to obtain a proper exploration?
On the Performance Significance of Boundary Strategies for Firefly Algorithm
Application of Dijkstra algorithm for solving interval valued neutrosophic shortest path problem
Deep learning for wind vector determination
A Bi-Population Based Multi-Objective Evolutionary Algorithm Using Hybrid Identification Method for Finding Knee Points
LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques
An asset pricing model with loss aversion and its stylized facts
An adaptive particle swarm optimization algorithm based on optimal parameter regions
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction
A Comparative Study of Supervised and Unsupervised Neural Networks for Oral Lesion Detection
Self-adaptive differential evolution based power system stabilizers
Interactive adaptation of Hand-over Motion by a Robot Partner for Comfort of receiving
Exploring the shortest path in PSO communication network
Spatio-Temporal Reasoning within a Neural Network framework for Intelligent Physical Systems
A Virtual Synchrophasor Network for Power System Resiliency Under Concurrent DoS Attacks
Towards the evolution of indirect communication for social robots
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making
Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals
Adversarial Poisoning of Importance Weighting in Domain Adaptation
Large Language and Text-to-3D Models for Engineering Design Optimization
Estimating the cognitive load in physical spatial navigation
A Study of the Naïve Objective Space Normalization Method in MOEA/D
Evolutionary functional approximation of circuits implemented into FPGAs
Naive Importance Weighting for Data Stream with Intermediate Latency
Kernel-based Slice-timing Correction for fMRI data Analysis
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification
Anomaly detection in smart grids with imbalanced data methods
Customer shopping pattern prediction: A recurrent neural network approach
An Event-based Hierarchy Model for Object Recognition
An Objective Reduction Algorithm based on Non-dominated Solution Pairs
Toward Human-like Billiard AI Bot Based on Backward Induction and Machine Learning
Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution
Improving Artificial-Immune-System-based computing by exploiting intrinsic features of computer architectures
An improved mini-batching technique: Sample-and-Learn
Improving RL power for on-line evolution of gaits in modular robots
Inferring Human Brain Structural Connectivity Based on Neural Networks
Accurate vehicle position estimation using a Kalman filter and neural network-based approach
An Experimental Study of Class Imbalance in Federated Learning
On Large-Scale Airline Crew Pairing Generation
An agent-based model for designing a financial market that works well
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning *
Effect of grouping in vector recognition system based on SOM
Towards Automated Tuberculosis detection using Deep Learning
A Transfer Learning Approach to Cross-Domain Author Profiling
A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems
A novel Traffic Sign Dataset with Condition Annotations
Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls
GA optimization technique for portfolio optimization of electricity market participation
Influence of control parameters adaptation on spread of positive genomes within populations of selected differential evolution algorithms
Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms
Fault Identification of Discrete-time unknown Nonlinear Systems: A Two-dimensional Convolutional Neural Network Approach
Rank level fusion for kinect gait and face biometrie identification
Playing Carcassonne with Monte Carlo Tree Search
Insole Design and Optimization Processes for Gait Analysis
Energy resource aggregator managing active consumer demand programs
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search
Automatic energy management controller design for hybrid electric vehicles
Frequency Distribution of Candidate Solutions in Angle Modulated Particle Swarms
Blockchain: A Tale of Peer to Peer Security
Emerging EEG and kinect face fusion for biometrie identification
Learning an Optimal Control Policy for a Markov Decision Process Under Linear Temporal Logic Specifications
Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach
A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter
How to select a winner in evolutionary optimization?
Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives
Automated Behavior-based Malice Scoring of Ransomware Using Genetic Programming
Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems
Identification of Brain Activation Regions in Inductive Learning Based Scientific Creativity Test
Point Cloud Semantic Segmentation Algorithm Based on Multi-information Markov Random Field
Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III
Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers
The MOBOT rollator human-robot interaction model and user evaluation process
A memetic algorithm for community detection by maximising the connected cohesion
Distortion Analysis on Binary Representation of Minutiae Based Fingerprint Matching for Match-on-Card
Influence of dynamic environments on agent strategies
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies
Evolution of multiple gaits for modular robots
Evolving neuromodulator architectures on non-associative learning tasks
Self-Tuning Robust Stability Fuzzy Digital Controller
A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition
Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution
A P300 brain computer interface based intelligent home control system using a random forest classifier
Extreme Environments Perpetuate Cooperation
Why is that a Good or Not a Good Frying Pan? - Knowledge Representation for Functions of Objects and Tools for Design Understanding, Improvement, and Generation
Neighborhood field optimization algorithm with dendritical structure
Hateful Memes Classification using Machine Learning
A Deep Architecture using Multiple TabNets for Environmental Prediction and Control in Smart Home
Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model
A dual-grid dual-phase strategy for constrained multi-objective optimization
A dual-DSP controlled SiC MOSFET based 96%-efficiency 20kW EV on-board battery charger using LLC resonance technology
Prediction of Bearing Degradation Trend based on LSTM
Smartphone-Based Tele-Rehabilitation System for Frozen Shoulder Using a Machine Learning Approach
A ResNet-9 Model for Insect Wingbeat Sound Classification
Dynamic Portfolio Optimization Using a Hybrid MLP-HAR Approach
An Adaptive Version of Differential Evolution for Solving CEC2014, CEC 2017 and CEC 2022 Test Suites
The open online repository of karate motion capture data: A tool for scientists and sport educators
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition
Self-Organizing Transformations for Automatic Feature Engineering
Investigation of starting conditions in generative processes for the design of engineering structures
Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures
Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering
Neuro-energetic aspects of cognition - The role of pulse-wave-pulse conversion in the interpretation of brain imaging data
Towards a human-like movements generator based on environmental features
VANET scalable fuzzy logic based adaptive beaconing
Trust in motivated learning agents
Quality and Diversity in Evolutionary Modular Robotics
Investigating Neural Network Architectures, Techniques, and Datasets for Autonomous Navigation in Simulation
Maximum Margin Minimum Variance Twin Support Vector Machine
Improved runtime analysis of RLS and (1+1) EA for the dynamic vertex cover problem
Evolving Multi-level Graph Partitioning Algorithms
Learning from small data: A pairwise approach for ordinal regression
Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition
Evolving Efficient Deep Neural Networks for Real-time Object Recognition
Stability Analysis of Fuzzy Sampled Data System
Fast Non-Parametric Conditional Density Estimation using Moment Trees
Evolving Non-Linear Stacking Ensembles for Prediction of Go Player Attributes
Heuristic approaches for generating Local Process Models through log projections
Neuromorphic Architecture for Small-Scale Neocortical Network Emulation
Research on Association Rules of Breast Cancer and TCM : Syndrome Based on Data Mining
Particle swarm optimization based co-operative task assignment and path planning for multi-agent system
Improved PQ Control Mothod for PV System
Adaptive Critic Design for Extreme Learning Machines applied to noisy and drifting industrial processes
Risk-Aware Project Scheduling for Projects with Varied Risk Levels
Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization
Sensitivity of Adversarial Perturbation in Fast Gradient Sign Method
Pareto-Dominance Based MOGP for Evolving Soccer Agents
Investigation of a flexible rotor system with squeeze film dampers by a combined numerical procedure