yusuke1997/dblp-id-title huggingface dataset:
Assessing Aesthetics of Generated Abstract Images Using Correlation Structure
Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions
Mining complex hyperspectral ALMA cubes for structure with neural machine learning
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
A Review on Serious Games in E-learning
On the Use of Associative Memory in Hopfield Networks Designed to Solve Propositional Satisfiability Problems
Probabilistic Analysis of Market Impact of Analysts' Recommendation Revisions
Dimensionality reduction of mass spectrometry imaging data using autoencoders
A Literature Review on Machine Learning Based Medical Information Retrieval Systems
A Computational Approach to Uncertainty in DNA Sequences
Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles
Quantified pareto-optimal front comparisons using attainment surfaces
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes
Hierarchical Open-Set Recognition for Automatic Target Recognition
Fusion of Palmprint and Finger-Knuckle-Print for Human Personal Recognition
Application of data-based prediction methods in newsvendor problems subject to purchase price uncertainty
Optimal video handling in on-line hand gesture recognition using Deep Neural Networks
Scaled bipartite consensus of cooperative-antagonistic multi-agent systems via joint-holonomic hybrid distributed protocol
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields
A Comparative Analysis of Binary Decision Diagram Reordering Algorithms for Reversible Circuit Synthesis
Towards the Development of an Adaptive System for Detecting Anomaly in Human Activities
Multistream Graph Attention Networks for Wind Speed Forecasting
Discrete-time Linear and Nonlinear Observers for an Electromechanical Plant with State Feedback Control
Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods
Optimizing Multiagent Area Coverage Using Dynamic Global Potential Fields
Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model
Detecting real-time events using tweets
Comparative study between deep learning and bag of visual words for wild-animal recognition
Induction Radius-Based Hierarchical Flocking Algorithm for UAVs Clustering
On Generalized Fuzzy Jensen-Exponential Divergence and Its Application to Pattern Recognition
Particle swarm optimization with a modified learning strategy and blending crossover
Traffic Convergence Detection in IoT LLNs: A Multilayer Perceptron based Mechanism
Dynamic Vector-Evaluated PSO with Guaranteed Convergence in the Sub-Swarms
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
Text Summarization as Tree Transduction by Top-Down TreeLSTM
Deeply-Fused Human Motion Recognition Network in Radar for In-Home Monitoring
From Rigid to Hybrid/Soft Robots: Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming
Robotic task affects the resulting morphology and behaviour in evolutionary robotics
From quantum cognition to quantum agents: An agent model integrating the superposition state property
Improved Multiobjective Multifactor Dimensionality Reduction using Fuzzy Theory
Dendrite morphological neurons trained by stochastic gradient descent
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders
Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Blind Topology Identification for Smart Grid Based on Dictionary Learning
Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain
Multi-Document Extractive Summarization Using Window-Based Sentence Representation
The closed-form solution of the Control Related States of Deficient Gen-Left k-th order System (the essential element of non-sharing subnet) of Petri Nets
RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers
Intelligent Stress Assessment for e-Coaching
A Comparison of Low-Cost Monocular Vision Techniques for Pothole Distance Estimation
Examining Political Bias within YouTube Search and Recommendation Algorithms
Reinforcement Learning for Solving Communication Problems in Shepherding
Enabling Maritime Risk Assessment Using Natural Language Processing-based Deep Learning Techniques
A sugeno-based search width decay schedule in the ACOR algorithm
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand
Privacy-Preserving Online Mirror Descent for Federated Learning with Single-Sided Trust
A multi-optimizer cooperative coevolution method for large scale optimization
Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms
Return of Small-Scale Crowd Counting via Fast and Accurate Semi-Supervised Least Squares Model
Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS)
A hybrid CMA-ES approach for distributed grid compliant energy scheduling
Niche Method Complementing the Nearest-better Clustering
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning
Fuzzy Conceptual Graphs: A comparative discussion
A Clustering Algorithm via Kernel Function and Locality Preserving Projections
Swarm of agents for guarding an Art Gallery: A computational study
Distributed Progressive Formation Control with One-Way Communication for Multi-Agent Systems
Who is physically active? Classification and Analysis of Physical Activity using NHANES data
Towards A Generic Computational Intelligence Library: Preventing Insanity
Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs
Step Counting with Attention-based LSTM
Playing Mega Man II with Neuroevolution
Accelerated Random Search for Black-Box Constraint Satisfaction and Optimization
Referential communication as a collective property of a brain-body-environment-body-brain system: A minimal cognitive model
An Open-Source Limit-Order-Book Exchange for Teaching and Research
Inform: A toolkit for information-theoretic analysis of complex systems
Locality Bounds for Nonredundant Binary-Integer Representations
An Investigation on Intrusion Detection System Using Machine Learning
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection
Orthus authentication protocol: Background services
Training and Testing Cascades for Imbalanced Data Classification
Classification of seizure and seizure-free EEG signals using Hjorth parameters
Improving shallow neural network by compressing deep neural network
Prediction based Policy setting by finding significance of Attributes from the Ontological Framework in Agricultural domain
A New Two-Stage Approach to the Multiaspect Text Categorization
A cognitive agent architecture for feedback control scheme design
Grading fruits and vegetables using RGB-D images and convolutional neural network
Exploring Tunneling Behaviours in Malicious Domains With Self-Organizing Maps
Harvesting End-effector Design and Picking Control
Monte Carlo Tree Search player for Mai- Star and Balance Evaluation
An Attack Tree Based Risk Analysis Method for Investigating Attacks and Facilitating Their Mitigations in Self-Sovereign Identity
Beneficial Catastrophes: Leveraging Abiotic Constraints through Environment-Driven Evolutionary Selection
Multiobjective optimisation and decision making for vessel routing - a prototype and case study
Evolutionary design of polymorphic gates using ambipolar transistors
Online Machine Learning Based Predictor for Biological Systems
Adaptive Optimal Control of Continuous-Time Linear Systems via Hybrid Iteration
A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating
Population based Reinforcement Learning
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging
A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data
Constrained Neuro-Identifier for Controlling the Unicycle Mobile Robot
Combining Utility AI and MCTS Towards Creating Intelligent Agents in Video Games, with the Use Case of Tactical Troops: Anthracite Shift
Day-Ahead Price Forecasting in Great Britain's BETTA Electricity Market
A Novel Multi-objective Approach to Fuzzy Clustering
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
Using machine learning to predict hypertension from a clinical dataset
ClaRe-GAN: Generation of Class-Specific Time Series
TRA: Effective Authentication Mechanism for Swarms Of Unmanned Aerial Vehicles
Physics-Based Performance Enhancement in Computational Electromagnetics: A Review
A comparative study of a recurrent neural network and support vector machine for predicting price movements of stocks of different volatilites
Learning Landmark-Oriented Subgoals for Visual Navigation Using Trajectory Memory
A Shape-Based Method for Concept Drift Detection and Signal Denoising
A holistic agent based model for demography
Lower Bounds on Kemeny Rank Aggregation with Non-Strict Rankings
Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm
Simultaneous generation-classification using LSTM
EEG dynamic source localization using constrained particle filtering
Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study
Emergency Communication System Based on Tethered Unmanned Aerial Vehicle
Comparing Behaviour Tree and Hierarchical Task Network Planning Methods for their Impact on Player Experience
Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples?
Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives
Reduction with Application to Pattern Recognition in Large Databases
Optimization of convolutional neural network parameters for image classification
Perspectives of Final Year Students on Modeling and Analysis of Complex Systems and Their Properties
Automating Collective Robotic System Design
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network
Multitasking differential evolution with difference vector sharing mechanism
An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems
Coarse-to-fine foraminifera image segmentation through 3D and deep features
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis
Feature Significance in Wide Neural Networks
Does relaxing strict acceptance condition improve test based pareto coevolution?
Conjugate Surrogate for Expensive Multiobjective Optimization
The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT
InstruPro: Instrumenting Programmable Logic Controller (PLC) based on Model Checking
Winning in Retail Market Games: Relative Profit and Logit Demand
ADP-based adaptive optimal tracking of strict-feedback nonlinear systems
A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities
Robust and explorative behavior in model-based Bayesian reinforcement learning
The Reconstruction of Financial Signals Using Fast ICA for Systemic Risk
Computer Vision for Detecting and Measuring Multicellular Tumor Shperoids of Prostate Cancer
Intelligent tagging of online texts using fuzzy logic
A new multi-actor multi-attribute decision-making method to select the distribution centers' location
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders
Ensemble of Semi-Parametric Models for IoT Fog Modeling
Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator
CNN-based Super-resolution Reconstruction for Traffic Sign Detection
A Change Detector for Prior Probabilities of Classes
Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images
Event-triggering Control for Time-varying Formation Tracking of Multi-agent Systems Subjected to Input Saturation
Bayesian Credible Intervals for Online and Active Learning of Classification Trees
Novel Radar based In-Vehicle Occupant Detection Using Convolutional Neural Networks
LMI Based Guaranteed Cost Synchronization for Nonlinear Complex Dynamical Networks with Similar Nodes and Coupling Time-varying Delay
A cellular automata model for forest fire spreading simulation
Discrete Flower Pollination Algorithm for Solving the Symmetric Travelling Salesman Problem
Learning to regulate rolling ball motion
Local ensemble weighting in the context of time series forecasting using XCSF
Stochastic Analysis of The Viability of a Protocell
Balancing Matching of Two-Sided Agents with Adaptive and Fair Instability
Heart Rate Measurement Using Air Pressure Sensor for Elderly Caring System
A Survey on Graph-based Systems in Manufacturing Processes
Adversarial and Adaptive Tone Mapping Operator for High Dynamic Range Images
Long-range auto-correlations in limit order book markets: Inter-and cross-event analysis
Network measures and evaluation of traveling salesman instance hardness
Adaptive Backstepping Neural Tracking Control of an Uncertain Robot Manipulator with Dynamic Disturbances
Cellular Network Based Real-Time Urban Road Traffic State Estimation Framework Using Neural Network Model Estimation
Autoencoder latent space: an empirical study
Computational Intelligence: Are you crazy? Since when has intelligence become computational?
Kidney segmentation for quantitative analysis applying MaskRCNN architecture
Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures
The Impact of Obstruction on a Model of Competitive Exclusion in Plants
Ensemble of Pareto-based Selections for Many-objective optimization
Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning
Attribute Selection Via Multi-Objective Evolutionary Computation Applied to Multi-Skill Contact Center Data Classification
Security analysis on InfiniBand protocol implementations
Hybridising Ant Colony Optimisation with a upper confidence bound algorithm for routing and wavelength assignment in an optical burst switching network
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas
Active Portfolio Rebalancing using Multi-objective Metaheuristics
Mortality rate modeling of joint lives and survivor insurance contracts tested by a novel unilateral dependence measure
Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem
Automated classification for pathological prostate images using AdaBoost-based Ensemble Learning
Crowd counting method on sparse scene
Multi-Objective Genetic Programming for Dataset Similarity Induction
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential
Assessment of evolutionary processes
Online Prediction of Dopamine Concentration Using EEG-Induced Type-2 Fuzzy Abduction
Quantitative Model Checking for a Resilient Control System
Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems
A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning
Automated design of feature extraction for unsupervised image clustering using grammatical evolution
Estimation of Drivers' Cognitive Load Through Foot Placement Analysis in a Car-Sharing Service
Evolutionary algorithms under noise and uncertainty: A location-allocation case study
Multimodal medical image registration using Particle Swarm Optimization: A review
Facial Shape-Based Eyeglass Recommendation Using Convolutional Neural Networks
Movement support system of Telepresence Robot based on operating skill
Improving Traffic Signal Control With Joint-Action Reinforcement Learning
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems
PyramidEnsemble: Joining Large and Small Models
Development of werewolf match system with analysis of human gaze motion
Adapting the Particle Filter Algorithm for the Street Navigation of the Visually Impaired
Intraday value-at-risk estimation for directional change events and investment strategies
An evolution-driven analog circuit topology synthesis
Hybrid Approach for TSP Based on Neural Networks and Ant Colony Optimization
The Method of Quantitative Assessment of the Armed Forces Line of Sight Fire Capability
Effects of discrete design-variable precision on real-coded Genetic Algorithm
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms
Adaptive Grouping and Pseudonym Changing Policy for Protection of Vehicles Location Information in VANETs
Detecting cyber-attacks using a CRPS-based monitoring approach
Development of industrial process characterisation through data analysis
Wind Speed Forecasting Using Improved Random Vector Functional Link Network
Interpreting Restricted Boltzmann Machines from Optics Theory Perspectives
Investigating Genetic Network Programming for Multiple Nest Foraging
Using Particle Swarm Optimization to Learn a Lane Change Model for Autonomous Vehicle Merging
Interpretability for Neural Networks from the Perspective of Probability Density
An enhanced real coded approach for the optimization of the Unit Commitment Problem
EMO-GAT: An Evolutionary Multi-Objective Method for Adversarial Training
Swarm Intelligence Numerical Optimization Algorithm Representing Individuals as Dynamic Graphs in the Euclidean Search Space
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems
Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task
Simulation evolution and optimization for PV solar farm configuration under weather and soiling uncertainty
Traffic sign recognition with transfer learning
Emergent creativity in declarative memories
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms
Exploration of the evolution-based footprint on the Generative Adversarial Networks
Scalable embedding of multiple perspectives for indefinite life-science data analysis
Eye movements as information markers in EEG data
XCSF with Experience Replay for Automatic Test Case Prioritization
Chunking mechanisms for a self improving associative memory model
OSVAE-GAN: Orthogonal Self-Attention Variational Autoencoder Generative Adversarial Networks for Time Series Anomaly Detection
GA-Aided Power Flow Management in a Multi-Vector Energy System
Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation
Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms
Real Time Identification of Heart Sounds Using Selectional Regional Correlation of the Time Frequency Domain
A Fitness Landscape Analysis of the LeNet-5 Loss Function
Frequency stabilization design for interconnected microgrid based on T-S fuzzy model with multiple time delays
Variable length encoded genetic algorithm for optimal electrical distribution network routing
Spherical optical flow based cornering motion representation for vehicle control
Optimizing different parameters of a discrete firefly algorithm for solving the permutation flow shop problem
Q-learning Energy Management Strategy for TEG-powered Environmental Monitoring IoT Devices: A Pilot Study
Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments
Monte Carlo Skill Estimation for Darts
Intermediate quantifiers in presence of partial fuzzy sets
Security Analysis of Smart Grid Cyber Physical Infrastructures Using Game Theoretic Simulation
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem
An embodied model for handwritten digits recognition in a cognitive robot
A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System
On the Performance of Particle Swarm Optimization Algorithms in Solving Cheap Problems
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study
Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis
Surrogate-assisted Parameter Re-initialization for Differential Evolution
Development of Presentation Robot System for Classroom Based on State of Participants
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors
A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing
Investigation of a Human's Opinion Affected by Social Influence of a Group Norm in a Human-Robot Group After a Human-Robot Scenario
A Two-phase Heuristic Method for Agri-fresh Inventory Optimisation
Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex
Towards a semantic model for IoT-based seismic event detection and classification
A hybrid approach to improving program security
A fuzzy logic approach for dynamic adaptation of parameters in galactic swarm optimization
A Video Salient Object Detection Model Guided by Spatio-Temporal Prior
A Three-Step Vehicle Detection Framework for Range Estimation Using a Single Camera
Clustering optimization of distributed energy resources in support of an aggregator
Rallying Adversarial Techniques against Deep Learning for Network Security
A Comparative Study for Efficient Synchronization of Parallel ACO on Multi-core Processors in Solving QAPs
An approximate dynamic programming approach to tackling mass evacuation operations
MIMO hammerstein system identification using LS-SVM and steady state time response
Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making
On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification
Neuro-evolution of spiking neural networks on SpiNNaker neuromorphic hardware
Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot
Robust Estimator based Adaptive Multi-Task Learning
Automated supernova Ia classification using adaptive learning techniques
Theory of Evolutionary Systems Engineering
Towards Explainable Person Re- Identification
Self-Configuring Ensemble of Neural Network Classifiers for Emotion Recognition in the Intelligent Human-Machine Interaction
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization
Explainability of Cybersecurity Threats Data Using SHAP
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies
Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task
Computing by nowhere increasing complexity
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift