yusuke1997/dblp-id-title huggingface dataset:
Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network
Lung segmentation on x-ray images with neural validation
Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model
Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies
Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models
Security of Cloud Intelligent Robot Based on RSA Algorithm and Digital Signature
Multi-objective Metaheuristics for Managing Futures Portfolio Risk
Comparison of Edge Computing Methods for Environmental Monitoring IoT Sensors Using Neural Networks and Wavelet Transforms
Railway platform reallocation after dynamic perturbations using ant colony optimisation
Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution
Massively-parallel best subset selection for ordinary least-squares regression
Computational Intelligence-Based Fault Detection in Refrigeration Systems: A Study on Enhancing System Reliability
Game theory applied in system of renewable power generation with HVDC out-sending facilitated by hundred megawatts Battery Energy Storage Station
Analyzing Privacy of Time Series Data Using Substitute Auto-encoder Neural Network
Microgrid Online Estimation for the Power Flow Solution in Distribution Systems
Very small spiking neural networks evolved to recognize a pattern in a continuous input stream
An Automated Gradient Enhanced Bat Algorithm
Wavelet-based denoising for EEG-based pattern recognition systems
Exploring the Insecurity of Google Account Registration Protocol via Model Checking
Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning
A heterogeneous ensemble of trees
Optimisation of Air-Ground Swarm Teaming for Target Search Using Differential Evolution
Pattern recognition for electric energy consumption prediction in a laboratory environment
Internet of Things based Context Aware Remote Health Care Services
Structured Iterative Hard Thresholding for Categorical and Mixed Data Types
Analysis of Mission Planning Problem for Video Satellite Imaging with Variable Imaging Duration
Monocular Vision based Topological Map Generation in Real-time
Geometric deep reinforcement learning for dynamic DAG scheduling
Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem
A Novel Algorithm to Detect Brain Tumor using Staged-Type-II Fuzzy Classifier
Improving performance of CDCL SAT solvers by automated design of variable selection heuristics
Offline and online time in Sequential Decision-Making Problems
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem
Classifying streaming data using grammar-based immune programming
Data Mining in MEDLINE for Disease-Disease Associations Via Second Order Co-Occurrence
Simulation-based approach to Vehicle Routing Problem with traffic jams
GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures
Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask
A Modified honey bees mating optimization algorithm for assembly line balancing problem
Responsive Multi-population Models for the Dynamic Travelling Thief Problem
Application of DDD Theory in Analysis and Design of Equipment Maintenance System
A novel approach to American sign language recognition using MAdaline neural network
An Intrusion Response Approach for Elastic Applications Based on Reinforcement Learning
Dynamic Multi-swarm Particle Swarm Optimization Based on Elite Learning
A Matching Pursuit Approach for Image Classification with Spiking Neural Networks
Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers
Composing Algorithm Portfolio with Problem Set of Unknown Distribution
Computational Intelligence for Efficient Numerical Design of Structures with Uncertain Parameters
SCALP: Self-configurable 3-D Cellular Adaptive Platform
Weak Fault Diagnosis Method Based on SEGAN and KL Divergence for Industrial Equipment
Cascading classifier application for topology prediction of TMB proteins
Studying the Effect of Robustness Measures in Offline Parameter Tuning for Estimating the Performance of MOEA/D
Efficient k-Anonymization through Constrained Collaborative Clustering
Adversarial Authorship, Sentiment Analysis, and the AuthorWeb Zoo
Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention
Balanced K-means using Quantum annealing
Cross Domain Collaborative Filtering Recommender System for Academic Venue Personalization based on References
A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization
Automated Machine Learning for Short-term Electric Load Forecasting
The Impact of an Adversary in a Language Model
Evolutionary optimization with adaptive surrogates and its application in crude oil distillation
Reference Point Based NSGA-III for Preferred Solutions
Tranalyzer: Versatile high performance network traffic analyser
Minimizing Total Clinical Deterioration in Operating Theatres
Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness
Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks
Bitcoin Market Return and Volatility Forecasting Using Transaction Network Flow Properties
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization
Privacy-Aware Human Activity Classification using a Transformer-based Model
Distributed genetic algorithm to big data clustering
Human Interactive EEG-Based Evolutionary Image Animation
Fault diagnosis in robot swarms: An adaptive online behaviour characterisation approach
Genetic Bayesian ARAM for Simultaneous Localization and Hybrid Map Building
Predicting Merger and Acquisition Deal Completion and Stock Movement with Stance Detection
A Deep Reinforcement Learning Approach for Inventory Control under Stochastic Lead Time and Demand
EEG Channel Selection using Fractal Dimension and Artificial Bee Colony Algorithm
A Study of the Impact of Evolutionary-Based Feature Selection for Fake News Detection
Efficiently Coevolving Deep Neural Networks and Data Augmentations
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks
Action selection of robot by human intention estimated with dynamic evaluation criterion
A Hybrid Cross-Entropy Guided Genetic Algorithm for Scheduling Multi-Energy Systems
Output Tracking Control Based on Piecewise Multilinear Models for a Class of MIMO Discrete-Time Nonlinear Systems
Physics Informed Data Driven Techniques for Power Flow Analysis
Revealing properties of structural materials by combining regression-based algorithms and nano indentation measurements
Chaotic predator-prey brain storm optimization for continuous optimization problems
Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses
Assessing the effect of self-assembly ports in evolutionary swarm robotics
Relevant Experiences in Replay Buffer
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions
BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems
Parallel multi-strategy evolutionary algorithm using massage passing interface for many-objective optimization
Managing Objective Archives for Solution Set Reduction in Many-Objective Optimization
Mother Tree Optimization for Conditional Constraints and Qualitative Preferences
Computation Offloading and Resource Allocation for Mobile Edge Computing
The passivity of neural networks with time-varying delay
The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms
A fusion system for tree species recognition through leaves and barks
Sensor-based change detection schemes for dynamic multi-objective optimization problems
Community detection based on Graph Coloring
The merits of velocity clamping particle swarm optimisation in high dimensional spaces
Why do active funds that trade infrequently make a market more efficient? - Investigation using agent-based model
Crisis Modeler: A Tool for Exploring Crisis Predictions
Combining top-down and bottom-up approaches for automated discovery of typed programs
Dimensionality Reduction for Sentiment Classification using Machine Learning Classifiers
Optimization of heart sound feature combination for HCM analysis based on BPSO
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks
HERMES: A high-level policy language for high-granularity enterprise-wide secure browser configuration management
Functional Connectivity Analysis of Default Mode Network for Healthy and Unhealthy Brains
Flexibility through autonomous decision-making in robot swarms
Classification of high dimensional data using LASSO ensembles
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance
Pedestrian detection aided by scale-discriminative network
Predicting the outcome of judicial cases using semantic analysis
Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions
Hyper-parameter search in support vector machines using PSO with cellular fitness approximation
Adaptive development of hash functions in FPGA-based network routers
Gene Expression Prediction Using a Deep 1D Convolution Neural Network
A direct memetic approach to the solution of Multi-Objective Optimal Control Problems
Emergence of order in leader-follower Boids-inspired systems
On applying the Restricted Boltzmann Machine to active concept drift detection
Optimizing Time-series Prediction on China's Green Trade Economy
A Meta-cognitive Recurrent Fuzzy Inference System with Memory Neurons (McRFIS-MN) and its Fast Learning Algorithm for Time Series Forecasting
Component behavior discovery from software execution data
Vehicle position and context detection using V2V communication with application to pre-crash detection and warning
An evolutionary approach to discovering execution mode boundaries for adaptive controllers
Solving Assembly Line Balancing Problems with Fish School Search algorithm
Emotion recognition with facial expressions and physiological signals
An Adaptive Multiform Evolutionary Algorithm for Global Continuous Optimization
Improved universum twin support vector machine
Risk aware portfolio construction using deep deterministic policy gradients
Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market
2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020
UCT-ADP Progressive Bias Algorithm for Solving Gomoku
Optimization of Antenna Arrays for SLL Reduction Towards Pareto Objectivity Using GA Variants
Computational Intelligence in Human Feature Analysis and Pose Selection
AeroDesign Aircraft Wing Optimization Using Genetic Algorithm
Bank Contagion Risk through Fire-Sales: A Heterogeneous Agent Model
Exploring Heterogeneous Open Multi-Agent Systems on Cloud Using a Docker-Based Architecture
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction
Applying Context State Machines to Smart Elevators: Design, Implementation and Evaluation
A data driven hybrid heuristic for the dial-a-ride problem with time windows
Classification Using Deep Transfer Learning on Structured Healthcare Data
A Smart Scheme for Variable Selection in Partial Opposition-based Differential Evolution
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency
Chronic disease risk monitoring based on an innovative predictive modelling framework
A Spiking Neural Network Based Auto-encoder for Anomaly Detection in Streaming Data
On the suitability of incremental learning for regression tasks in exoskeleton control
Speeding up joint mutual information feature selection with an optimization heuristic
Modelling Urban transition using Cellular Automata based Sleuth modelling
An improved penalty-factor based attractive and repulsive particle swarm optimization for nonconvex economic dispatch problems
A robot model in limited scenarios to create a suitable decision-making criterion by interacting with people in a group
Insensitive Zone based Pinball Loss Twin Support Vector Machine for Pattern Classification
Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game
Environment Sound Classification (ESC) with Choquet Integral Fusion
NEAT Algorithm for Testsuite generation in Automated Software Testing
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016
Passivity of Reaction-Diffusion Neural Networks Via Sampled-Data Control
Evolutionary approaches with adaptive operators for the bi-objective TTP
Forecasting Day-ahead Electricity Prices with A SARIMAX Model
On Multiobjective Knapsack Problems with Multiple Decision Makers
Analysis of Business Processes in Supply Chain: An Interpretive Structural Modeling Approach
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization
Use of context-aware Social Computing to improve energy efficiency in public buildings
Memory efficient mining of periodic-frequent patterns in transactional databases
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences
Causal Models Applied to the Patterns of Human Migration due to Climate Change
Combinations in predictive analytics by using machine learning
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization
Classification of unilateral motor tasks using spectral features of EEG
Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures
Measuring Saturation in Neural Networks
Data Analytics of climatic factor influence on the impact of malaria incidence
Multi-View Unsupervised Feature Selection with Dynamic Sample Space Structure
Leveraging Ensemble Structures to Elucidate the Impact of Factors That Influence the Quality of Ultra-High Performance Concrete
Self-Adaptive Parameter Control in Genetic Algorithms Based on Entropy and Rules of Nature for Combinatorial Optimization Problems
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem
Decoding of EEG Signals Using Deep Long Short-Term Memory Network in Face Recognition Task
Monitoring land-cover changes by combining a detection step with a classification step
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation
Bruxism: Teeth Grinding Time-Series Episode Detection Through Wearable Sensors
Energy-efficient Hot-rolling Scheduling of High-quality Steel Products
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection
A Logistics Network Distribution Algorithm Based on Deep Learning
Improving effort estimation of Fuzzy Analogy using feature subset selection
Data analytics for modeling and visualizing attack behaviors: A case study on SSH brute force attacks
Visual Counseling Agent and its Evaluation
Implementation of gesture driven virtual reality for car racing game using back propagation neural network
Evolution Properties of Complex-Valued Memristive Differential-Algebraic Neural Networks
A multi operator genetic algorithm for solving the capacitated vehicle routing problem with cross-docking problem
A parallel firefly meta-heuristics algorithm for financial option pricing
Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data
Big Data and Machine Learning for Applied Weather Forecasts: Forecasting Solar Power for Utility Operations
Constructing a Human-like agent for the Werewolf Game using a psychological model based multiple perspectives
Development of the patent values evaluation method considering growth of technical community
A Hybrid Approach Optimizing both Terminal Resource Configuration and External Truck Waiting Time under Truck Appointment System
Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm
Data-Driven Digital Twins for Power Estimations of a Solar Photovoltaic Plant
CGLER: Laban Effort Framework Analysis with Conducting Gestures Using Neural Networks
Enhancing State-of-the-Art Multi-Objective Optimization Algorithms by Applying Domain Specific Operators
Authorship Attribution vs. Adversarial Authorship from a LIWC and Sentiment Analysis Perspective
An extended mutation-based priority-rule integration concept for multi-objective machine scheduling
Obstacle avoidance of hexapod robots using fuzzy Q-learning
Airport Ground Movement Optimization Revisited: Coupling Airport Runway Spacing to Multi-Objective Routing and Scheduling Through Genetic Algorithms
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods
Towards better requirement definition for multimedia travel guiding applications
Task-Sensitive Concept Drift Detector with Constraint Embedding
Semi-supervised Learning Using Generative Adversarial Networks
IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018
Latent Factor Models Fusing User & Item Attributes
Quantum hobbit routing: Annealer implementation of generalized Travelling Salesperson Problem
Noise Boosted Neural Receptive Fields
Letter position encoding in a neural framework
A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach
Anomaly Detection on the Rail Lines Using Semantic Segmentation and Self-supervised Learning
A reinforcement learning approach to tackle illegal, unreported and unregulated fishing
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop
Skin lesion segmentation: U-Nets versus clustering
A review of deterministic error scores and normalization techniques for power forecasting algorithms
Biased Eavesdropping Particles: A Novel Bio-inspired Heterogeneous Particle Swarm Optimisation Algorithm
Achieving Human Expert Level Time Performance for Atari Games - A Causal Learning Approach
Distance based parameter adaptation for differential evolution
Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment
Relative output feedback based distributed tracking for leader-following MASs
Weighted Two-dimensional Otsu Threshold Approached for Image Segmentation
A Survey on Bias Mitigation in Federated Learning
A Pipeline Consisting of Pattern Recognition and Finite Automata for Recognizing VCV Productions in the Study of Vocal Hyperfunction
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion
Towards An Autonomous Warehouse Inventory Scheme
A rapidly updating stratified mix-adjusted median property price index model
Designing Large-Scale Intelligent Collaborative Platform for Freight Forwarders
Achieving long-term progress in competitive co-evolution
Nearly Optimal Consensus Control of Discrete Time Multiagent Systems with Time Delays
Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach
Neural Network for Musical Data Mining for Phrase Boundary Detection
Initial Population Generation Method and its Effects on MOEA/D
Application on Vehicle Detector using Laser Ranging Image Sensor
A bio-inspired spiking neural network encoding color-biased images
Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning
Fuzzy Spiking Neural Network for Abnormality Detection in Cognitive Robot Life Supporting System
Phishing Detection Using URL-based XAI Techniques
Hybrid Chaotic Radial Basis Function Neural Oscillatory Network (HCRBFNON) for Financial Forecast and Trading System
Multi-Population Ant Colony System for Multiple Path Planning of Food Delivery Applications
Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment
A parallel genetic algorithm with region division strategy to solve taxi-passenger matching problem
Segmentation of Complex Object Based on A Standardization Coding Method
Single image dehazing based on pixel minimum channel
Diversity-guided generalized extremal optimization for transformer design problem
Error-related Potential Variability: Exploring the Effects on Classification and Transferability
Gene Permutation: A new Probabilistic Genetic Operator for Improving Multi Expression Programming
Particle Swarm optimization Describes Ant Nest Move at Low Participation Rate
Privacy Preserving Modified Projection Subgradient Algorithm for Multi-Agent Online Optimization
Flying vehicle longitudinal controller design via prey-predator pigeon-inspired optimization
Investigation of Maximization Bias in Sarsa Variants
MEWA: A Benchmark For Meta-Learning in Collaborative Working Agents
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts
Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle
Iterative Q-learning-based nonlinear optimal tracking control
A Proposal of a Multi-Objective Compact Particle Swarm Optimizer
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games
Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks
Automated detection, extraction and counting of acne lesions for automatic evaluation and tracking of acne severity
Staged-adaptive data clustering in fuzzy min-max neural network
Mutual information maximization for improving and interpreting multi-layered neural networks
Striving with online addiction with a self-control chrome extension
Classification of Indoor Environments Based on Mixed Graph Similarity using UWB Signals
Neural-Based Cross-Modal Search and Retrieval of Artwork
Graph Convolutional Network Based Ant Colony Optimization for Robot Task Allocation
Principled Evolutionary Algorithm search operator design and the kernel trick
Super-resolution for sequence series data using long-short term memory network
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates
Principal Component Analysis on Graph-Hessian
Upper Limb Motor Skills Evaluation in Patients with Early Multiple Sclerosis Using the IDEA System
Finding informative collaborators for cooperative co-evolutionary algorithms using a dynamic multi-population framework
Multi-Strategy Multimodal Genetic Algorithm for Designing Fuzzy Rule Based Classifiers
Affordance generation enables behavioral plasticity and cognitive offloading in evolving robots
EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction
Combined Selection and Parameter Control of Meta-heuristics
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals
On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models
Small data driven evolutionary multi-objective optimization of fused magnesium furnaces
Modelling Epigenetic Mechanisms to Capture Dynamical Topological Morphology: Applications in Edge Detection
Smart Case Mining Based on Membrane Clustering
Automatically evolving a general controller for robot swarms
Simulated and Real-World Evolution of Predator Robots
An Artificial Immune System for Adaptive Test Selection
Improved search paths for camera-equipped UAVS in wilderness search and rescue