yusuke1997/dblp-id-title huggingface dataset:
Study of Huffman Coding Performance in Linux and Windows 10 IoT for Different Frameworks
Caravels: A Decentralized Container-Based Infrastructure for Sustainable Human-Centric Intelligent Energy Communities
PAELLA as a Booster in Weighted Regression
Reliability-Based Design Optimization of Structures Combining Genetic Algorithms and Finite Element Reliability Analysis
The Role of Artificial Neural Network Models in Ensuring the Stability of Systems
Modular Petri Net Models of Communicating Agents - A GPenSIM Approach
Prelude of an Educational Innovation Project: Discussing a Redesign of the Continuous Assessment in Mathematics for Chemistry and Geology Bachelor Degree Students
Supervised Learning Approaches with Majority Voting for DNS Tunneling Detection
Security Analysis of a New Bit-Level Permutation Image Encryption Algorithm
User Modeling Optimization for the Conversational Human-Machine Interfaces
A Natural Language Processing Approach to Represent Maps from Their Description in Natural Language
Comparing Google Cloud and Microsoft Azure Platforms for Undergraduate Laboratory Use
Text Classification for Automatic Distribution of Review Notes in Movie Production
A First Approach to Path Planning Coverage with Multi-UAVs
Real-Time Bayesian Inference: A Soft Computing Approach to Environmental Learning for On-Line Robust Automatic Speech Recognition
Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization
Prediction of Sequences Generated by LFSR Using Back Propagation MLP
A Hybrid Heuristic Algorithm for Multi-manned Assembly Line Balancing Problem with Location Constraints
Implementation of a Statistical Dialogue Manager for Commercial Conversational Systems
Minecraft as a Tool in the Teaching-Learning Process of the Fundamental Elements of Circulation in Architecture
Experiments for the Selection of Sub-Word Units in the Basque Context
Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods
A SCIRS Model for Malware Propagation in Wireless Networks
Intrusion Detection with Neural Networks Based on Knowledge Extraction by Decision Tree
The Improvement of Machining Process Scheduling with the Use of Heuristic Algorithms
A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset
Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System
Enhancing Short-Term Velocity Forecasting Models by Using ML Models and Traffic Patterns Information
Bioclimatic House Heat Exchanger Behavior Prediction with Time Series Modeling
Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises
Cryptanalytic Results on Knapsack Cryptosystem Using Binary Particle Swarm Optimization
Visualization and Efficiency in Teaching Mathematics
Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware
Master Slave LMPM Position Control Using Genetic Algorithms
Fuzzy FMEA Application to Risk Assessment of Quality Control Process
A Climatologycal Analysis by Means of Soft Computing Models
Comments on a Cryptosystem Proposed by Wang and Hu
Disclosure of Sensitive Information in the Virtual Learning Environment Moodle
Packet Header Anomaly Detection Using Statistical Analysis
iGenda: An Event Scheduler for Common Users and Centralised Systems
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets
A First Approach in the Class Noise Filtering Approaches for Fuzzy Subgroup Discovery
Revisiting the Simulated Annealing Algorithm from a Teaching Perspective
A Data-Driven ROM Based on HODMD
Gas Consumption Prediction Based on Artificial Neural Networks for Residential Sectors
Intuitionistic Fuzzy Sets in J-CO-QL + ?
Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map
Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery
Modelling Room Temperature Dynamics for Efficient HVAC System Energy Consumption
Loop Strategies and Application of Rough Set Theory in Robot Soccer Game
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods
Detection of Stress Level and Phases by Advanced Physiological Signal Processing Based on Fuzzy Logic
Network Traffic Prediction and Anomaly Detection Based on ARFIMA Model
Identifying Places Using Multimodal Social Network Data
Takagi-Sugeno Fuzzy Incremental State Model for Optimal Control of a Ball and Beam Nonlinear Model
Deep Learning and Metaheuristic for Multivariate Time-Series Forecasting
Soft Computing Testing in Real Industrial Platforms for Process Intelligent Control
Solving the Routing and Wavelength Assignment Problem in WDM Networks by Using a Multiobjective Variable Neighborhood Search Algorithm
Time Series Analysis of Iraq's Energy Sector: Production, Consumption, and Trends
Small-Wind Turbine Power Generation Prediction from Atmospheric Variables Based on Intelligent Techniques
A Survey of Academics' Views of the Use of Web2.0 Technologies in Higher Education
Affordable Wind Power Forecasting: Implementing LSTM Networks on Low-Cost Hardware Platforms for Enhanced Energy Management
Experiments on Trust Prediction Based on Reputation Features
Advanced Oversampling for Improved Detection of Software Anomalies in a Robot
Toward Reusing the Numerical Association Rule Mining Models
Applications of Artificial Neural Networks in Control of DC Drive
Real-Time Polymorphic Aho-Corasick Automata for Heterogeneous Malicious Code Detection
Supervised Machine Learning for the Detection of Troll Profiles in Twitter Social Network: Application to a Real Case of Cyberbullying
A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing
Data Is Flowing in the Wind: A Review of Data-Flow Integrity Methods to Overcome Non-Control-Data Attacks
Medical Catheters Grasping Point Detection with Quality Control
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering
An Artificial Neural Network Model for the Prediction of Bruxism by Means of Occlusal Variables
Anomaly Detection Using String Analysis for Android Malware Detection
Blocks of Jobs for Solving Two-Machine Flow Shop Problem with Normal Distributed Processing Times
Image Classification Applied to the Problem of Conformity Check in Industry
A Simulated Annealing Based Method for Sequencing Problem in Mixed Model Assembly Lines
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform
The Boundary Element Method Applied to the Resolution of Problems in Strength of Materials and Elasticity Courses
Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques
Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM)
Intelligent Agents Design and Traffic Simulations
International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León, Spain, September 6-8, 2017, Proceedings
Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems
Improving Landslides Prediction: Meteorological Data Preprocessing Using Random Forest-Based Feature Selection
Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition
Dealing with Capacitated Aisles in Facility Layout: A Simulation Optimization Approach
Human Acoustic Events Detection as Anomalies in Industrial Environments Using Shallow Unsupervised Techniques
Python-Based Ecosystem for Agent Communities Simulation
Active Learning for Road Lane Landmark Inventory with Random Forest in Highly Uncontrolled LiDAR Intensity Based Image
A Virtual Learning Environment to Support Project Management Teaching
Classical Hybrid Approaches on a Transportation Problem with Gas Emissions Constraints
Web Spam Detection Using MapReduce Approach to Collective Classification
Neural Networks and Linear Predictive Coding Coefficients Used for European Starling Detection in Vineyards
Neuroevolutionary Transfer Learning for Time Series Forecasting
Genetic Algorithm Adoption to Transport Task Optimization
DR Participants' Actual Response Prediction Using Artificial Neural Networks
Encrypted Cloud: A Software Solution for the Secure Use of Free-Access Cloud Storage Services
A Multi-agent Framework for the Analysis of Users Behavior over Time in On-Line Social Networks
A Genetic Algorithm to Solve the Static Transmission System Expansion Planning
Improving the Efficiency of Production Processes by Reducing Human Errors Using Intelligent Methods
Securing Patients Medical Images and Authentication System Based on Public Key Infrastructure
Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection
Dimensional Reduction on an Intelligent Model for Efficiency Improvement of Switching Modes Detection
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction
Highly Space Efficient Blacklisting
RGB Images Driven Recognition of Grapevine Varieties
Smart PPE and CPE Platform for Electric Industry Workforce
A Comparison of Clustering Techniques for Meteorological Analysis
Optimization of Parallel Manipulators Using Evolutionary Algorithms
How Political Illusions Harm National Stability: Fiscal Illusion as a Source of Taxation
About Nash Equilibrium, Modularity Optimization, and Network Community Structure Detection
Tree Generation Methods Comparison in GAP Problems with Low Quality Data
Solving Repetitive Production Planning Problems. An Approach Based on Activity-oriented Petri Nets
Investigation on Operating Systems Identification by Means of Fractal Geometry and OS Pseudorandom Number Generators
Software Implementation of Linear Feedback Shift Registers over Extended Fields
Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments
Inception and Specification of What-If Scenarios Using OLAP Usage Preferences
RBF Neural Network for Identification and Control Using PAC
Combination of the Finite Element Method and Data Mining Techniques to Design and Optimize Bearings
Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach
Multiple Fault Diagnosis in Manufacturing Processes and Machines Using Probabilistic Boolean Networks
Adult Content Filtering through Compression-Based Text Classification
Classification via Nearest Prototype Classifier Utilizing Artificial Bee Colony on CUDA
Recognition of Damaged Letters Based on Mathematical Fuzzy Logic Analysis
Application of the Hybrid - Multi Objective Immune Algorithm for Obtaining the Robustness of Schedules
Short-Term Wind Energy Forecasting Using Support Vector Regression
Artificial Intelligence Methodology for Run-to-Target Manufacturing
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
How Blockchain Could Improve Fraud Detection in Power Distribution Grid
A Comparative Study of Different Genetic Algorithms Approaches to Capacitated Vehicle Routing Problem for Collection of Agricultural Products
The Combination of Bisection Method and Artificial Bee Colony Algorithm for Solving Hard Fix Point Problems
Aspect-Based Sentiment Analysis in Drug Reviews Based on Hybrid Feature Learning
Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia
Analysis of Selected Aspects of "IBM I" Security
On the Potential of Fuzzy Rule-Based Ensemble Forecasting
A Decision Support System for Logistics Operations
A New Iterative Approach for Finding Nearest Neighbors Using Space-Filling Curves for Fast Graphs Visualization
EEG-Based User Authentication Using Artifacts
Data Selection to Improve Anomaly Detection in a Component-Based Robot
Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds
Segmentation Optimization in Trajectory-Based Ship Classification
Job Shop Scheduling with Transport by Automated Guided Vehicles
Intra and Intergroup Cooperative Learning in Industrial Informatics Area
Enhancements for a Robust Fuzzy Detection of Stress
Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption
Computation of Berge-Zhukovskii Equilibrium in Discrete Time Dynamic Games
Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure
Assessment of the Recent Postgraduates in Cybersecurity on Barriers and Required Skills for Their Early Career
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines
Evolutionary Cost-Sensitive Ensemble for Malware Detection
Modeling and Analysis of Agent-Based Labor Market
Multiobjective Pareto Ordinal Classification for Predictive Microbiology
On Intelligent Systems for Storytelling
Discrete-Time Markov Chains in Reliability Analysis-Case Study
Studying Road Transportation Demand in the Spanish Industrial Sector Through k-Means Clustering
Competitive Differential Evolution Algorithm in Comparison with Other Adaptive Variants
Estimation of Lamb Weight Using Transfer Learning and Regression
Functional Networks for Image Segmentation of Cutaneous Lesions with Rational Curves
Analyzing Accelerometer Data for Epilepsy Episode Recognition
Implementation of Fuzzy Speed Controller in Control Structure of A.C. Drive with Induction Motor
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting
Usability of Software Intrusion-Detection System in Web Applications
Dynamic Tabu Search for Non Stationary Social Network Identification Based on Graph Coloring
Information Exchange Mechanism between Federated Domains: P2P Approach
Prosodic Features and Formant Contribution for Speech Recognition System over Mobile Network
Metaheuristically Optimized Multicriteria Clustering for Medium-Scale Networks
Local Iterative DLT for Interval-Valued Stereo Calibration and Triangulation Uncertainty Bounding in 3D Biological Form Reconstruction
Growth Models of Female Dairy Cattle
Modeling a Synaesthete System to Generate a Tonal Melody from a Color Distribution
10th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2015, Burgos, Spain, June 2015
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining
A New Information Infrastructure Approach for End-To-End Supply Chain Management
Online Identification of Odometer Parameters of a Mobile Robot
Coupling the PAELLA Algorithm to Predictive Models
Optimization of Solar Integration in Combined Cycle Gas Turbines (ISCC)
Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment
Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification
Stable Performance Under Sensor Failure of Local Positioning Systems
An Application of Variational Mode Decomposition in Simulated Flight Test Data
A Behavioural Study of the Crossover Operator in Diploid Genetic Algorithms
An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System
A Proposal to Integrate Conversational Interfaces in Mobile Learning Applications
Reinforcement Learning in Single Robot Hose Transport Task: A Physical Proof of Concept
An Instance Generator for the Multi-Objective 3D Packing Problem
Credit Scoring Data for Information Asset Analysis
Feel Me Flow: A Review of Control-Flow Integrity Methods for User and Kernel Space
Image Reconstruction with Usage of the F-Transform
Soft Computing Techniques Applied to a Case Study of Air Quality in Industrial Areas in the Czech Republic
Creation of Synthetic Data with Conditional Generative Adversarial Networks
Query Based Object Retrieval Using Neural Codes
Solving Linear Systems of Equations from BEM Codes
An Approach to Forecasting and Filtering Noise in Dynamic Systems Using LSTM Architectures
Gaussian Process-Based Inferential Control System
FEA Structural Optimization Based on Metagraphs
Feature Clustering to Improve Fall Detection: A Preliminary Study
Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel
Control of MIMO Systems with iMO-NMPC Strategy
Interaction Estimation in Egocentric Videos via Simultaneous Hand-Object Recognition
Learning Classifier Systems for Adaptive Learning of Intrusion Detection System
Sensor Networks Security Based on Sensitive Robots Agents: A Conceptual Model
Attribute Subset Selection for Image Recognition. Random Forest Under Assessment
Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms
Deep Learning Based Baynat Foam Classification for Headliners Manufacturing
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning
Time Analysis of Air Pollution in a Spanish Region Through k-means
An Agent-Based Platform for Traffic Simulation
Prosodic Features and Formant Contribution for Arabic Speech Recognition in Noisy Environments
Decision Making and Quality-of-Information
Data Quality Assessment Methodology
A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices
Secure Android Application in SOA-Based Mobile Government and Mobile Banking Systems
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques
Virtualization Laboratory for Computer Networks at Undergraduate Level
Analysing the Effect of Recent Anti-pollution Policies in Madrid City Through Soft-Computing
Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching
Plant Identification: Two Dimensional-Based Vs. One Dimensional-Based Feature Extraction Methods
Genetic Simulation Tool for the Robustness Optimization of Controllers
An Industrial Application of Soft Computing for the Design of Personalized Call Centers
Design and Implementation of a Vision System on an Innovative Single Point Micro-machining Device for Tool Tip Localization
Application of RBF Neural Network in Sensorless Control of A.C. Drive with Induction Motor
Real-Time Estimation of Induction Motor Parameters Based on the Genetic Algorithm
DTW as Alignment Function in the Context of Time Series Balancing
Methodological Security Verification of a Registration Protocol
Fuzzy Candlesticks Forecasting Using Pattern Recognition for Stock Markets
Towards Fog-Based HiTLCPS for Human Robot Interactions in Smart Lab: Use Cases and Architecture Overview
Machine Learning in the Last-Mile Delivery: Modified Q-Learning for the TSP
Content-Based Image Authentication Using Local Features and SOM Trajectories
Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection
Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Hyperspectral Image Analysis Based on Quad Tree Decomposition
Eco-Efficiency Measurement by Implementing DEA Models with Weight Restrictions
Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation
Monitoring Human Performance Through Deep Learning and Computer Vision in Industry 4.0
Cluster Forests Based Fuzzy C-Means for Data Clustering
Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study
Hybrid Orbit Propagator Based on Neural Networks. Multivariate Time Series Forecasting Approach
A Multi-level Filling Heuristic for the Multi-objective Container Loading Problem
Low Cost Methods for Computing Instabilities in Boundary Layer Flows
VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity
Estimating Context Aware Human-Object Interaction Using Deep Learning-Based Object Recognition Architectures
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting
KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data
An Image Mosaicing-Based Method for Bird Identification on Edge Computing Devices
On the Improvements of Computational Individualism of an IBM
Greenhouse Heat Load Prediction Using a Support Vector Regression Model
Interpretation of Diabetic Foot Ulcer Image Classification Using Layer Attribution Algorithms
An Ordinal Regression Approach for the Unequal Area Facility Layout Problem
An Interactive Mathematica Book
Collaborative System for Learning Based on Questionnaires and Tasks
An Effective Application of Soft Computing Methods for Hydraulic Process Control
An Approach to Location Extraction from Russian Online Social Networks: Road Accidents Use Case
Movement Detection Algorithm for Patients with Hip Surgery
Adaptive Database Intrusion Detection Using Evolutionary Reinforcement Learning
Vehicle Warning System Based on Road Curvature Effect Using CNN and LSTM Neural Networks
Iterative Learning Control for a Hydraulic Cushion
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO 2 RBFN
From Moodle Log File to the Students Network
Learning Styles in Adaptive Games-Based Learning
Hybrid Dynamic Planning Mechanism for Virtual Organizations
Adaptive Neural Control-Oriented Models of Unmanned Aerial Vehicles
Simulation Analysis of Static and Dynamic Intermediate Nodes and Performance Comparison of MANETS Routing Protocols
Combining Stream Mining and Neural Networks for Short Term Delay Prediction
Soft Computing Models in Industrial and Environmental Applications, 7th International Conference, SOCO'12, Ostrava, Czech Republic, September 5th-7th, 2012
Optimal Node Distribution in Wireless Sensor Networks Considering Sensor Selection
A K-means Based Genetic Algorithm for Data Clustering
Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles
A Genetic Algorithm for Solving RSA Problem in Elastic Optical Networks with Dedicated Path Protection
Methodology Supporting the Planning of Machining Allowances in the Wood Industry
Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers
Categorization of CoAP DoS Attack Based on One-Class Boundary Methods
Data Balancing to Improve Prediction of Project Success in the Telecom Sector
A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features
A Comparison of Registration Methods for SLAM with the M8 Quanergy LiDAR
Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety
An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs
Copper Price Time Series Forecasting by Means of Generalized Regression Neural Networks with Optimized Predictor Variables
Shape-Output Gene Clustering for Time Series Microarrays
A Preliminary Study on Multivariate Time Series Clustering
Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets
Cross-Lingual Approaches: The Basque Case
Smart Song Equalization Based on the Classification of Musical Genres
Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach
IoT and AI Based Security System - Design and Implementation
Deep Learning-Based Dementia Prediction Using Multimodal Data
Visualization Tool and Its Integration in a Gateway for Astronomy and Astrophysics
Practical Automation for Management Planes of Service Provider Infrastructure
Making Community Networks economically sustainable, the guifi.net experience
Formal specification-based conformance testing
Addressing strategic behavior in a deployed microeconomic resource allocator
HAP: A New Model for Packet Arrivals
Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series
Tier automation representation of communication protocols
Answering what-if deployment and configuration questions with wise
TafLoc: Time-adaptive and Fine-grained Device-free Localization with Little Cost