yusuke1997/dblp-id-title huggingface dataset:
Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices
Towards efficient detection of sybil attacks in location-based social networks
Memetic Algorithm for Heterogeneous Project Scheduling Problems
Traffic Aware Many-Objective Dynamic Route Planning
Multi 3D camera mapping for predictive and reflexive robot manipulator trajectory estimation
Relationship between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness
A spectral model for multimodal redshift estimation
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems
Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning
A Multi-objective Risk-averse Workforce Planning under Uncertainty
An Intelligent Autopilot System that learns flight emergency procedures by imitating human pilots
A Simple Yet Effective Approach to Robust Optimization Over Time
A Neural Network for Constrained Fuzzy Convex Optimization Problems
Grey wolf optimizer (GWO) for automated offshore crane design
How chaotic sequences and generator sequencing affect the particle trajectory in PSO
A Fine-grained Privacy-preserving k-means Clustering Algorithm Upon Negative Databases
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
A Comparative Study on the Data-driven Based Prognostic Approaches for RUL of Rolling Bearings
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation
On the Democratization of Machine Learning Pipelines
The Varying Success of Bayesian Model Averaging: An Empirical Study of Flood Prediction
An Improved TLBO Algorithm for Solving UAV Path Planning Problem
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems
Block-based feature extraction model for early fire detection
A reinforcement learning approach for sequential decision-making process of attacks in smart grid
Globally Finite-Time Stabilization of delayed Quaternion-Valued Neural Networks based on a class of Extended L-R Method
A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification
Optimizing Agent Training with Deep Q-Learning on a Self-Driving Reinforcement Learning Environment
Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation
We Are Not Pontius Pilate: Acknowledging Ethics and Policy
Leakage Detection for Pipe Systems with Fuzzy Monitoring Strategy
Three dimensional segmentation for cement microtomography images using self-organizing map and neighborhood features
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks
Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks
Two Objective Matching Pursuit for Seismic Data Decomposition
Evaluating decomposition strategies to enable scalable scheduling for a real-world multi-line steel scheduling problem
A Meta Heuristic Genetic Algorithm for Multi-Depot Routing in Autonomous Bridge Inspection
Considerations for Assuring Software Systems of Autonomous Aircraft
Improved Set-based Particle Swarm optimization for Portfolio optimization
Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection
Predicting traction return current in electric railway systems through physics-informed neural networks
Improved benders decomposition for capacitated hub location problem with incomplete hub networks
Energy-efficient activity recognition via multiple time-scale analysis
Semantic exploitation of implicit patent information
Evaluating Fuzzy Analogy on incomplete software projects data
A Hierarchical Modeling Method for Complex Engineering System with Hybrid Dynamics
Hybrid particle swarm optimization of electricity market participation portfolio
Extended-Self Recognition for Autonomous Agent Based on Controllability and Predictability
Detecting Subject-Weapon Visual Relationships
Detect & Describe: Deep Learning of Bank Stress in the News
The Benefits of Adaptive Behavior and Morphology for Cooperation
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz
Control design of nonlinear networked control systems via Takagi-Sugeno fuzzy model
Research on Reconstruction Strategy of Closed Bus-ties Power Grid Based on Binary Particle Swarm Optimization
Bilateral contract prices estimation using a Q-leaming based approach
Distance metric learning using each category centroid with nuclear norm regularization
Induced aggregation operators in the ordered weighted average sum
When the selfish herd is too crowded to enter
Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning
Unsupervised learning of fundamental emotional states via word embeddings
Learning Transferable Variation Operators in a Continuous Genetic Algorithm
Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
Optimal online learning in bidding for sponsored search auctions
UAV coverage path planning algorithm for bridge detection
An integrated system for robust gender classification with convolutional restricted Boltzmann machine and spiking neural network
Low Latency and Non-Intrusive Accurate Object Detection in Forests
A Novel Learning and Response Generating Agent-based Model for Symbolic - Numeric Knowledge Modeling and Combination
Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing
Predicting bedside falls using current context
Hyperparameter Optimisation for Improving Classification under Class Imbalance
Reinforcement learning based algorithm with Safety Handling and Risk Perception
Coevolutionary multi-agent optimization of distributed supply networks
An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid
Seabed sediment classification of side-scan sonar data using convolutional neural networks
Evolving General Regression Neural Networks for Learning from Noisy Datasets
Using Generative Adversarial Networks for Detecting Stock Price Manipulation: The Stock Exchange of Thailand Case Study
Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics
Distributed Discrete-time Nash Equilibrium Seeking with Markovian Switching Topologies
Empirical evaluation of changing crossover operators to solve function optimization problems
A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections
Intelligent Backoff Management Scheme Applying Adaptive Neuro-Fuzzy Inference System in Vehicular Ad-hoc Networks
Advancement in the head pose estimation via depth-based face spotting
Smart Design of Similarity Relations for Fuzzy Logic Programming Environments
A Boosted Machine Learning Approach For Detection of Depression
Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients
Action Detection Based on 3D Convolution Neural Network with Channel Attention Mechanism
Nondominated sorting based on sum of objectives
Multiple Worlds Model of Evolution for demographic appropriate radio playlists
Unveiling Precision Medicine with Data Mining: Discovering Patient Subgroups and Patterns
Industrial Process Fault Detection Using Singular Spectrum Analysis and Kernel Principal Component Analysis
Hybrid system to analyze user's behaviour
Runtime analysis of different Approaches to select conflicting auxiliary objectives in the generalized OneMax problem
Particle swarm optimizer: The impact of unstable particles on performance
On novelty driven evolution in Poker
Classification Uncertainty of Multiple Imputed Data
A hierarchical view on Evolution-In-Materio computations
Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization
Supervised Noise Reduction for Clustering on Automotive 4D Radar
A Short Survey on Population-Based Incremental Learning Algorithm
Deep-learnt classification of light curves
A Comparative Study on Population-Based Evolutionary Algorithms for Multiple Traveling Salesmen Problem with Visiting Constraints
Differential Evolution with Random Walk Mutation and an External Archive for Multimodal Optimization
Remaining Useful Life Prediction of Machining Tools by 1D-CNN LSTM Network
Combining CCA and CFP for Enhancing the Performance in the Hybrid BCI System
Generation of Artificial FO-contours of Emotional Speech with Generative Adversarial Networks
Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients
Soft subspace clustering using QPSOSC algorithm
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data
Optimized Machine Learning-Based Intrusion Detection System for Internet of Vehicles
Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes
Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Point Cloud Classification for Detecting Roadside Safety Attributes and Distances
Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora
Enhancing Conducting Gesture Analysis: Integrating Laban Movement Analysis with Tree Ensembles and Neural Networks
Kernel-based generative learning in distortion feature space
RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method
Predicting extubation readiness in extreme preterm infants based on patterns of breathing
BSO-ES: A Hybrid Direct Policy Search Algorithm for Reinforcement Learning
Building Actionable Personas Using Machine Learning Techniques
The Evolution of Reinforcement Learning *
Introducing Human Corrective Multi-Team SRR Sports Scheduling via Reinforcement Learning
Co-Simulation Platform for Characterizing Cyber Attacks in Cyber Physical Systems
Swarm Clustering Algorithm: Let the Particles Fly for a while
Machine Learning for Stock Prediction Based on Fundamental Analysis
A Subspace-Based Method for PSO Initialization
A Facility Layout Planner tool based on Genetic Algorithms
Maximum Entropy Reinforcement Learning in Two-Player Perfect Information Games
Self-generation of reward based on sensor value -Improving reward accuracy by associating multiple sensors using Hebb's rule-
Towards a plant bio-machine
A continuous and discrete framework for reconfiguration of control of faulty systems
A Memory Model for Visual Image Classification Based on Residual Neural Network and Bayesian Decision
Convolutional Neural Network for Honeybee Density Estimation
Finding behavioral patterns of UAV operators using Multichannel Hidden Markov Models
Image-Based Screening of Oral Cancer via Deep Ensemble Architecture
Automatic Indexing of Financial Documents via Information Extraction
Temperature Compensation of MEMS Gyroscope Based on Support Vector Machine Optimized by GA
Relation Representation Learning for Special Cargo Ontology
Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model
A Study on Parameter Sensitivity Analysis of the Virus Spread Optimization
Acceptance-Based Software Architecture Deployment for Improvement of Existing Applications
Smart Camera-Based Patient-Specific Seizure Detection
Using CMAC for adaptive nonlinear MPC and optimal setpoint identification of an activated sludge process
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning
Emotion and Sentiment Recognition using Natural Language Processing and Machine Learning Techniques during Disaster Situation
A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model
Scalable Semi-supervised kernel spectral learning using random Fourier features
Distribution Based Feature Mapping for Classifying Count Data
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings
Analysis of Emotions in Speech Acts for Chatbots: An Overview and a Model Proposal
Federated Self-Supervised Learning for Intrusion Detection
A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images
A deep neuro-fuzzy method for multi-label malware classification and fuzzy rules extraction
Adapting sentiment analysis system from English to Slovak
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality
Classification of the estrous cycle through texture and shape features
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization
Detecting Contradictions in German Text: A Comparative Study
A new approach to session identification by applying fuzzy c-means clustering on web logs
A preliminary study on designing a benchmark problem for analysis of sparsely-synchronized heterogeneous coevolution
Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming
Parameterized analysis of bio-inspired computing
Interactive evolutionary computation with adaptive mutation for increasing the effectiveness of advertisement texts
Transformer-Based Bidirectional Encoder Representations for Emotion Detection from Text
Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR
AI-Powered Ransomware Detection Framework
Upper limb motor coordination based early diagnosis in high risk subjects for Autism
Optimal sampling and regulation of uncertain interconnected linear continuous time systems
Object Detection Using Deep Convolutional Generative Adversarial Networks Embedded Single Shot Detector with Hyper-parameter Optimization
A SVM integrated Case Based Learning Data GA for Solar Flare Prediction
Region-of-interest extraction of fMRI data using genetic algorithms
AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm for Global Optimisation
LSTM based Algorithmic Trading model for Bitcoin
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives
MacPherson suspension system modeling and control with MDP
Insights in evolutionary exploration of robot morphology spaces
Detection and Identification Method of Dangerous Goods under X-ray Based on Improved YOLOv3
Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles
Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification
Optimized Electric Machine Design Solutions with Efficient Handling of Constraints
Validity index-based vigilance test in adaptive resonance theory neural networks
An Object Oriented Approach to Fuzzy Actor-Critic Learning for Multi-Agent Differential Games
GNOSTRON: a framework for human-like machine understanding
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
HIDMS-PSO Algorithm with an Adaptive Topological Structure
Consumer Behavior Analysis using EEG Signals for Neuromarketing Application
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Preserving Coupled Nodes in Population-Based CNP Solvers by Clustering-Elitism Search
High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping
User-Specific Music recommendation Applied to Information and Computation Resource Constrained System
Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules
Uncertainty quantification methods for neural networks pattern recognition
Taxonomy and Survey of Interpretable Machine Learning Method
Supervised Learning with Small Training Set for Gesture Recognition by Spiking Neural Networks
The Efficacy of Financial Ratios for Fraud Detection Using Self Organising Maps
Measuring cloud security risk by Mean Failure Cost
Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines
Model-free Q-learning optimal resource allocation in uncertain communication networks
Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning
A Definition and a Test for Human-Level Artificial Intelligence
Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body
Towards Contradiction Detection in German: a Translation-Driven Approach
Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems
A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance
Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification
Knowledge Extraction About Beer Classification Using Evolving Fuzzy Neural Networks
Growing Neural Gas with Correntropy Induced Metric
Multi-Objective Optimization Modeling and Solution of Multi-Satellite TT&lC Scheduling Problem
An immune based dynamic risk control system
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals
On the Potential of Rocket League for Driving Team AI Development
Symmetric Fine-Tuning for Improving Few-Shot Object Detection
Sampled-data Synchronization of Recurrent Neural Networks with Multi-GPUs
Exploiting gradient for kriging-based multi-objective aerodynamic optimization
Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition
Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval
An Ensemble of S-energy Based Mating Restrictions for Multi-Objective Evolutionary Algorithms
A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks
Toward scalable benchmark problems for multi-objective multidisciplinary optimization
High-Frequency Equity Index Futures Trading Using Recurrent Reinforcement Learning with Candlesticks
Consensus of Subjective Preferences of Multiple Occupants for Building Energy Management
Optimal tariff system for integration of distributed resources based on a comparison of Brazil's and Germany's system
A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems
RBF based adaptive neuro-fuzzy inference system to torque estimation from EMG signal
Cigarette Detection Algorithm Based on Improved Faster R-CNN
Presentation Robot System with Interaction for Class
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection
Power system distributed dynamic state prediction
Design of Industrial Field Intelligent Temperature Acquisition System Based on Timestamped Anti-Interference Algorithm
Least Squares Twin Support Vector Machine Based on Manifold-based Within-class Scatter
Classification of Physiological Data in Affective Exergames
Fusion Mappings for Multimodal Affect Recognition
CI-based Analytics for Photovoltaic Power Predictions and Tie-line Bias Control in Smart Grid
Introduction of a Mutual Feature between Electrodes into Support Vector Machine Based Person Verification Using Evoked Electroencephalogram by Ultrasound
Hospital Readmission Prediction using Discriminative patterns
Design of Work Ticket System and Scheduling Algorithm based on Blockchain
An Efficient Ant Colony System for Multi-Robot Task Allocation with Large-scale Cooperative Tasks and Precedence Constraints
Cooperative reinforcement learning for multiple units combat in starCraft
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork
Learning Correlations and Causalities Through an Inductive Bootstrapping Process
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming
Practical train crew scheduling using improved tabu search
Evolutionary dynamic optimisation of airport security lane schedules
Undetectable sensor and actuator attacks for observer based controlled Cyber-Physical Systems
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning
On fuzzy relations, adjunctions, and functional fuzzy relations
An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network
Fuzzy maximal covering location models for fighting dengue
Symptoms detection in eye retina image
DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV
Surrogate-Assisted Optimization of Metamaterial Devices for Advanced Antenna Systems
Possibilistic fuzzy local information C-Means for sonar image segmentation
UUnet: An effective cascade Unet for automatic segmentation of renal parenchyma
Cloud Task Scheduling Algorithm Based on Squid Operator and Nonlinear Inertia Weight
Interval Type-2 Recursive Fuzzy C-Means Clustering Algorithm in the TS Fuzzy Model Identification
Ant Colony Optimization applied to the regularization process of a High Order neural Network
A CPG-Inspired Assist-As-Needed Controller for an Upper-Limb Rehabilitation Robot
Information Warfare: Fighting Back Through the Matrix
Transparent Modelling of Risk Assessment factors for Assisted Living
Using Stock Prices as Ground Truth in Sentiment Analysis to Generate Profitable Trading Signals
Model-Free Optimal Control Based on Reinforcement Learning for Rotary Inverted Pendulum
Modularities maximization in multiplex network analysis using Many-Objective Optimization
Data from past patients used to streamline adjustment of levels for cochlear implant for new patients
An Adaptive Approach Towards the Selection of Multi-Factor Authentication
An energy-efficient accelerator for hybrid bit-width DNNs
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators
Population mechanics and cultural algorithms in the development of a cultural engine
Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application
Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems
Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model
Unsupervised geometrical feature learning from hyperspectral data
Component Analysis Based Approach to Support the Design of Meta-Heuristics for MLCLSP Providing Guidelines
Multi-label Classification Based on Adaptive Resonance Theory
An object tracking method using extreme learning machine with online learning
Securing IoT devices using Ensemble Machine Learning in Smart Home Management System
Detecting changes in sequences of attributed graphs
Consensus Learning with Complete Graph Regularization for Incomplete Multi-view Clustering
Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement
Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence
EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images
The Modeling and Prediction of Strapdown Inertial Measurement Unit based on Support Vector Regression and Particle Swarm Optimization
Triple Refined Indeterminate Neutrosophic Sets for personality classification
Artificial Intelligence and Features Investigating to Detect Neuropsychiatric Symptoms in Patients with Dementia: A Pilot Study
A fusion of time-domain descriptors for improved myoelectric hand control