yusuke1997/dblp-id-title huggingface dataset:
A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response
Modular representation of autoencoder networks
Current Quantum Cryptography Algorithm Is Optimal: A Proof
An Investigation of Underlying Physical Properties Exploited by Evolution in Nanotubes Materials
Seeking Multiple Solutions of Combinatorial optimization Problems: A Proof of Principle Study
Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers
PSO-assisted Lyapunov control design for quantum systems
Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems
On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers?
Leveraging Emergent Specialization in a Heterogeneous Multi-Role Swarm Control Architecture for Positional-based UAS Missions
Image Captioning using Deep Learning: Text Augmentation by Paraphrasing via Backtranslation
Maximal Algorithmic Caliber and Algorithmic Causal Network Inference: General Principles of Real-World General Intelligenceƒ
An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities
Motion generation of multi-legged robot by using knowledge transfer in rough terrain
NDBIris with Better Unlinkability
An Immune Metaheuristics for Large Instances of the Weighted Feedback Vertex Set Problem
Improving SVM Training Sample Selection Using Multi-Objective Evolutionary Algorithm and LSH
Finite horizon optimal control and communication co-design for uncertain networked control system with transmit power constraint
Bacterial Foraging Optimization Based on Multi-colony Cooperation Strategy
An adaptive fitness evolutionary algorithm for sparse large-scale multi-objective optimization problems
Online Bagging for Anytime Transfer Learning
Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA
Development of Esteem Support based on Psychodrama and Design Thinking approach
Real time gesture recognition system with gesture spotting function
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction
Optimal Defense and Control for Cyber-Physical Systems
Ensemble R2-based Hypervolume Contribution Approximation
Neural-Network-based Finite-Set Model Predictive Control of an Autonomous Surface Vehicle Powered by an Electrical Motor
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings
Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling
Frequency Prediction of Synchronous Generators in a Multi-Machine Power System with a Photovoltaic Plant Using a Cellular Computational Network
1D CNN Architectures for Music Genre Classification
An analysis of tor pluggable transports under adversarial conditions
Surrogate Approximation on Bilevel Multi Follower Optimization Problems
Evolving Structures in Complex Systems
A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification
A hybrid Prophet-LSTM Model for Prediction of Air Quality Index
Development of an Unsupervised Learning Methods for Classification of Accident Reports without Code Information
An age layered population structure genetic algorithm for the multi-depot vehicle problem
Probability density estimation of photometric redshifts based on machine learning
A comparative study of CNN, BoVW and LBP for classification of histopathological images
Analysis and prediction of the queue length for non-recurring road incidents
Maximum Entropy Production Principle for Stock Returns
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation
Optimal event-triggered control of uncertain linear networked control systems: A co-design approach
Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions
Feature selection via kernel sparse representation
Joint Optimization of Offloading and Communication Resources in Mobile Edge Computing
System identification acceleration and improvement with genetic programming usage
Stacked Generalization with Wrapper-Based Feature Selection for Human Activity Recognition
A Parallel Implementation of Multiobjective Particle Swarm Optimization Algorithm Based on Decomposition
Automatic Distance-Based Interpolating Unit Detection and Pruning in Self-Organizing Maps
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0: Exploring the Ethical and Philosophical Implications
Enhanced dynamic data-driven fault detection approach: Application to a two-tank heater system
Deep Learning for Screening COVID-19 using Chest X-Ray Images
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations
Weakly supervised learning with convolutional neural networks for power line localization
Large-scale data clustering algorithm based on quantum immune regulation network
Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining
Extraction of sentences concerning business performance forecast and economic forecast from summaries of financial statements by deep learning
A Hormone-Inspired Arbitration System For Self Identifying Abilities Amongst A Heterogeneous Robot Swarm
Multi-Objective Evolutionary Algorithm Fully Based on Unbounded Archive for Problems Requiring Very Expensive Solution Evaluations
Normalized L1 regularization for axis-oblique tree construction algorithms
A Swarm-Based Approach to Learning Phase-Type Distributions for Continuous Time Bayesian Networks
Generalizing piecewise affine system identification to local model networks
Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation
Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence
Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Privacy-Preserving Fuzzy Multi-Keyword Search for Multiple Data Owners in Cloud Computing
Decomposition based dominance relationship for evolutionary many-objective algorithm
Node placement optimization under K-Coverage and K-Connectivity constraints in wireless sensor networks
An approximate ripple-spreading algorithm with terminal h strategy
Application of Wearable Devices in Crime Scene Investigation and Virtual Reality
A Pinball loss based Extreme Learning Machine for pattern classification
Segment Based Highway Traffic Flow Prediction in VANET Using Big Data Analysis
Robust-Based Market Bidding Strategy and Profit Allocation Method for the Alliance of Wind Power Generators Considering Shared Energy Storage
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem
Evolutionary Search from the Interior of Feasible Space
Time-limited search and optimization of the spatial positioning of agents in virtual environments
Controlled-Accuracy Approximation of Nonlinear Functions for Soft Computing Applications: A High Performance Co-proccessor for Intelligent Embedded Systems
Machine Education: Designing semantically ordered and ontologically guided modular neural networks
Cyber civil infrastructure and IoT for cities
Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs
Defects Detection of Catenary Suspension Device Based on Image Processing and CNN
Hybrid Human/Robot Team Establishment using E-CARGO and Role-Based Collaboration
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning
General contraction method for uncapacitated single allocation p-hub median problems
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics
Automated Reconfiguration of Modular Robots Using Robot Manipulators
Separate Sound into STFT Frames to Eliminate Sound Noise Frames in Sound Classification
Finding all Pareto Optimal Paths for Dynamical Multi-Objective Path optimization Problems
(Energy) Policies Can Be Complicated: So Be Careful With Your Simulators!
Incremental Human Gait Prediction without Catastrophic Forgetting
Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring
Stochastic optimal allocation of PMUs for improving the accuracy of state estimation
Heuristic Based Learning of Parameters for Dictionaries in Sparse Representations
Sensitivity analysis of prior beliefs in advanced Bayesian networks
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs
Biasing restricted Boltzmann machines using Gaussian filters to learn invariant visual features
Axial-LOB: High-Frequency Trading with Axial Attention
Vision Based Driver Assistance for Near Range Obstacle Sensing under Unstructured Traffic Environment
A differential evolution based feature selection approach using an improved filter criterion
Improved nondominated sorting genetic algorithm-II for bi-objective flexible job-shop scheduling problem
Conversion of Decision Tree Into Deterministic Finite Automaton for High Accuracy Online SYN Flood Detection
Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric
A Preliminary Study on Identifying Fabrication Material From Fake Fingerprint Images
Nation-wide synthetic reconstruction method
Deck Building in Collectible Card Games using Genetic Algorithms: A Case Study of Legends of Code and Magic
Behavior Pattern Extraction Based on Growing Neural Networks for Informationally Structured Space
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods
The context-aware learning model: Reward-based and experience-based logistic regression backpropagation
Overlapping Community Detection in Social Network Using Disjoint Community Detection
Feedback-circulating Optimum Design for Perceiving Constellation Principle of Regional Observation Satellites
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to Bayesian inference
Using Neural Networks to Automate Monitoring of Fish Stocks
DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming
Multi-aspect path planning for enhanced ground combat simulation
Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation
Explainable Model-specific Algorithm Selection for Multi-Label Classification
Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics
Empirical study on combining complementary and contradictory information in a fuzzy-based system
Forward Noise Adjustment Scheme for Data Augmentation
E-DBSCAN: An evidential version of the DBSCAN method
Adversarial UFP/UFN Attack Evolution
Diffusion Model in Causal Inference with Unmeasured Confounders
A Particle Swarm Optimization K-Means Algorithm for Mongolian Elements Clustering
Dynamic Particle Swarm Optimization for Financial Markets
Database Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection
Supplementary-architecture weight-optimization neural networks for advanced weight optimizers
Centroid-Based Particle Swarm Optimization Variant for Data Classification
Automated Selection of Evolutionary Multi-objective Optimization Algorithms
A Modified Chaotic Firefly Algorithm for Solving Discrete Logarithm Problem and Analysis
Modeling of MEMS gyroscope Random Error Based on Kalman Filter
Cooperative Optimization Strategy for Distributed Energy Resource System using Multi-Agent Reinforcement Learning
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks
Computational Intelligence Driven Motor Function Assessment in Post-Stroke Patients
A Multi-Armed Bandit Strategy for Countermeasure Selection
An Evaluation Study of Recognizing Conducting Gesture Using Computational Intelligence Techniques
A Novel Bilevel Formulation for Pollution Routing Problem
Real-Time Deep Learning-Based Object Detection Framework
An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm
Distributed incremental wLPSVM learning
FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data
Algorithmic Frameworks for the Detection of High-Density Anomalies
BEFLAB: Bandwidth efficient fuzzy logic-assisted broadcast for VANET
Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage Identification
A Bibliometric Overview of the Research Impact of Lotfi A. Zadeh
Adaptive Data Replication Optimization Based on Reinforcement Learning
Combining Self-critical dynamics and Hebbian learning to explain utility of bursty dynamics in neural networks
A Decision Tree-Based Approach for Cardiovascular Dysautonomias Diagnosis: A Case Study
Q-learning with experience replay in a dynamic environment
Improving pairwise learning to rank algorithms for document retrieval
Test Problem in Which Bits Used for Fitness Calculation Depend on Bit Pattern
Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences
Adding Security to Networks-on-Chip using Neural Networks
Optimal scheduling of energy storage systems considering the two-layer interaction of distribution networks
AiCE: automating horizon scanning for the detection of emerging technologies
A Batched Expensive Multiobjective Optimization Based on Constrained Decomposition with Grids
Discrete-time generalized policy iteration ADP algorithm with approximation errors
Towards automated cyber decision support: A case study on network segmentation for security
Crowding and Mutation Improvements in an EA for Flight Control Correction in a Flapping-Wing Vehicle
On Neural Consolidation for Transfer in Reinforcement Learning
Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization
A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility
Evolving component library for approximate high level synthesis
Partial opposition-based learning using current best candidate solution
On the Impact of ECG Data Quality for Arrhythmia Detection Using Convolutional Neural Networks and Wearable Devices
Decentralized sequencing of jobs on a single machine
Deep Recurrent Neural Networks for Nonlinear System Identification
GBMPSO: Hybrid Gradient Boosting Machines with Particle Swarm Optimization in Cell Segmentation Data
Edge Computing Based Smart Aquaponics Monitoring System Using Deep Learning in IoT Environment
Very short-term probabilistic forecasting of wind power based on OKDE
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure
Regression versus Classification for Predicting Feasibility in Offline Data- Driven Evolutionary Constrained Optimization
To Measure or not to Measure? Adaptive Repetition Management in Parameter Tuning
Stereo surveillance system for fall detection
Multi-Objective Self Regulating Particle Swarm Optimization algorithm for BMOBench platform
A multi-criteria value iteration algorithm for POMDP problems
A Comparative Study on Genetic Algorithm and Ant Colony Optimization in Resource Location Optimization
An Active Hopf-based Digital Hardware Cochlea Implementation
A new metaheuristic based on the self-defense techniques of the plants in nature
An Approach to Representation Learning in Morphological Robot Evolution
Detect Malicious IP Addresses using Cross-Protocol Analysis
Model-based fault detection and isolation for chemical processes: Application to the prevention of thermal runaway
Classifying DNS Tunneling Tools For Malicious DoH Traffic
Identifying Species for Particle Swarm Optimization under Dynamic Environments
RECEN: Resilient MANET Based Centralized Multi Robot System Using Mobile Agent System
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations
A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows
Backlash Agent: A trading strategy based on Directional Change
IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015
Multi-UAV Task Allocation: A Team-Based Approach
Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
Policy iteration-based indirect adaptive optimal control for completely unknown continuous-time LTI systems
Evolving Workflow Graphs Using Typed Genetic Programming
An Improved Ant Colony optimization Algorithm: Minion Ant(MAnt) and its Application on TSP
Identification of irregular motion in automotive navigation systems using novelty detection
Designing Polymorphic Circuits with Periodical Weight Adjustment
Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning
On Modifications Towards Improvement of the Exploitation Phase for SOMA Algorithm with Clustering-aided Migration and Adaptive Perturbation Vector Control
Prediction of Protein Complexes Using an Evolutionary Approach
A New Initialisation Method for Examination Timetabling Heuristics
Robotized Counselor Evaluation using Linguistic Detection of Feeling Polarity Change
Revisiting Echo State Networks for Continuous Gesture Recognition
Extending the feature set of a data-driven artificial neural network model of pricing financial options
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces
Dynamic Multi-Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization
Deep reinforcement learning with experience replay based on SARSA
Event-triggered integral reinforcement learning for nonlinear continuous-time systems
Performance Study of Double-Niched Evolutionary Algorithm on Multi-objective Knapsack Problems
An Optimization Method of Logistics Distribution Route based on Autoencoder Network
Design of the Controlling System of a Six-DoF Manipulator
A heuristic filter based on Firefly Algorithm for nonlinear state estimation
Neuromorphic Hardware Accelerated Adaptive Authentication System
Satellite-derived Photovoltaic Power Forecasting Based on Various Attention Inputs for Higher Self-explainability
DE vs. PSO: A Performance Assessment for Expensive Problems
Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic
Image Encryption Algorithm based on Particle Swarm Optimization and Chaos Logistic Map
Simple generate-evaluate strategy for tight-budget parameter tuning problems
Vehicle agile maneuvering: From rally drivers to a finite state machine approach
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions
Adaptive Consensus Tracking Control for Nonlinear Multi-Agent Systems with Input Saturation and Dead-Zone
A predictive performance comparison of machine learning models for judicial cases
Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction
Harmony Unleashed: Exploring the Ethical and Philosophical Aspects of Machine Learning in Human-Robot Collaboration for Industry 5.0
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation
A Multi-Population Genetic Algorithm for Multiobjective Recommendation System
Evolving the structure of Evolution Strategies
A machine-learning framework for a novel 3-step approach for real-time taxi dispatching
Data squashing as preprocessing in association rule mining
Padding the dimensions for knowledge transfer in the dynamic vector evaluated particle swarm optimisation algorithm
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization
Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning
High-speed Train Timetabling Based on Reinforcement Learning
Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification
Introducing simulated stem cells into a bio-inspired cell-cell communication mechanism for structure regeneration
Comparison of Two Folding Functions for RNA Secondary Structure Design
Combining the real-time wavelet denoising and long-short-term-memory neural network for predicting stock indexes
Weight-Identification Model of Cattle Using Machine-Learning Techniques for Anomaly Detection
A proportion-based selection scheme for multi-objective optimization
Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction
Using ?-Dominance for Hidden and Degenerated Pareto-Fronts
Cartesian genetic programming applied to pitch estimation of piano notes
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis
Data Driven Domain Appraisal: Extracting Information from Short Dense Texts
A Survey of HMM-based Algorithms in Machinery Fault Prediction
Strictly join irreducible elements in the lattice of varieties of BL-algebras
A study of chaotic maps in differential evolution applied to gray-level image thresholding
EEG-Based Driver Drowsiness Estimation Using Self-Paced Learning with Label Diversity
Interval type-2 fuzzy logic gravitational search algorithm for the optimization of modular neural networks in echocardiogram recognition
An Improved Nondominated Sorting Genetic Algorithm-II for Multi-objective Flexible Job-shop Scheduling Problem
Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks
The Influence of the Picking Times of the Components in Time and Space Assembly Line Balancing Problems: An Approach with Evolutionary Algorithms
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem
Obstacle detection in outdoor scenes based on multi-valued stereo disparity maps
Evaluation of Cyber Security Threats in Banking Systems
Implementation and analysis of dynamic stability for bipedal robotic motion
Intelligent Succulent Plant Management System Based on Wireless Network
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning
The Design of Intelligent Information Release System
A comparative study of image classification algorithms for Foraminifera identification
MOGAMR: A Multi-Objective Genetic Algorithm for real-time Mission Replanning
Learning low-frequency temporal patterns for quantitative trading
A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning
Quality estimation for Japanese Haiku poems using Neural Network
Radiation heat transfer optimization by the use of modified ant lion optimizer
Using recurrent neural networks to predict colorectal cancer among patients
Many-objective optimization algorithm applied to history matching
Coordination and optimization of dynamic pricing and production decisions
Intelligent Strategies to Combine Move Heuristics in Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation
A New Self-Organizing Map with Continuous Learning Capability
Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition
Evaluating the Potential and Realized Impact of Data Augmentations
Approximative Pareto Front Identification
An ensemble of single multiplicative neuron models for probabilistic prediction
Efficient Extended Ant Colony Optimization for Capacitated Electric Vehicle Routing
Soft sensor development and applications based on LSTM in deep neural networks
Experimenting with Supervised Drift Detectors in Semi-supervised Learning