yusuke1997/dblp-id-title huggingface dataset:
Evaluating the Impact of Categorical Data Encoding and Scaling on Neural Network Classification Performance: The Case of Repeat Consumption of Identical Cultural Goods
Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making
Exploring Weights of Hierarchical and Equivalency Relationship in General Persian Texts
Audio Data Fuzzy Fusion for Source Localization
A Genetic Algorithm for Pancreatic Cancer Diagnosis
Algorithmic Problem Solving Using Interactive Virtual Environment: A Case Study
Comparison of Methods for Automated Feature Selection Using a Self-organising Map
Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens
Human Activity Recognition Under Partial Occlusion
ESN with Delayed Inputs to Model Industrial Processes
Face Detection with YOLO on Edge
Severe Asthma Exacerbations Prediction Using Neural Networks
Engineering Applications of Neural Networks - 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024, Proceedings
Machine Learning Modeling to Provide Assistance to Basketball Coaches
AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinical Cases Using Machine Learning Tools
Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder
An ASP-Based Approach for Phase Balancing in Power Electrical Systems
A Neural Circuit for Acoustic Navigation Combining Heterosynaptic and Non-synaptic Plasticity That Learns Stable Trajectories
A Deep Dense Neural Network for Bankruptcy Prediction
A Particle Swarm Optimization (PSO) Model for Scheduling Nonlinear Multimedia Services in Multicommodity Fat-Tree Cloud Networks
Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings
Emotion Prediction of Sound Events Based on Transfer Learning
Evaluating the Extraction of Toxicological Properties with Extractive Question Answering
Deep Active Learning for Autonomous Navigation
Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021
IMMI: Interactive Segmentation Toolkit
Impact of Sampling on Neural Network Classification Performance in the Context of Repeat Movie Viewing
Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network
An Immune-Inspired Approach for Breast Cancer Classification
Contextualized Segmentation of Milling Processes Using Discrete Rule-Based Pattern Recognition
Detecting Pattern Efficiently with Don't Cares
An Application of the Occam Factor to Model Order Determination
Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE)
Neural Networks for Air Data Estimation: Test of Neural Network Simulating Real Flight Instruments
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning
The Greek Music Dataset
A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications
Detecting Port Scans against Mobile Devices with Neural Networks and Decision Trees
Machine Learning with the Pong Game: A Case Study
Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece
Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part II
An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well
Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks
A Simulator for Privacy Preserving Record Linkage
On the Intelligent Machine Learning in Three Dimensional Space and Applications
A Genetic Programming Method for Scale-Invariant Texture Classification
Needle-in-the-Haystack Testing LLMs with a Complex Reasoning Task
Object Detection for Functional Assessment Applications
Estimation of River Ebro Streamflow Using Fuzzy Inference Systems and FCM
Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning Methods
A Benchmark Framework to Evaluate Energy Disaggregation Solutions
A Machine Learning Approach for Seismic Vulnerability Ranking
Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach
Data Visualisation and Exploration with Prior Knowledge
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam
CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept
Distributed balancer of mobile nodes' bandwidth and battery resources in P2P VoD systems
Recognizing Human Actions Using 3D Skeletal Information and CNNs
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of the Ionic Composition of Multi-component Water Solutions
Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28, 2015, Proceedings
Drilling Operations Classification Utilizing Data Fusion and Machine Learning Techniques
Wind Energy Prediction Guided by Multiple-Location Weather Forecasts
BotDroid: Permission-Based Android Botnet Detection Using Neural Networks
Discrimination of Attention Deficit Hyperactivity Disorder Using Capsule Networks and LSTM Networks on fMRI Data
Analyzing the Mobile Learning System Behavior: The Case of the Russian Verbs of Motion
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders
Machine Learning Analysis of Dissolved Oxygen at the "G. Giannouli" Hydrological Station Greece
Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network
Automatic Detection of Microaneurysms for Diabetic Retinopathy Screening Using Fuzzy Image Processing
Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning
Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystem
Fixed-Resolution Growing Neural Gas for Clustering the Mobile Networks Data
Automatic Accent and Gender Recognition of Regional UK Speakers
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction
A Neural-Fuzzy Network Based on Hermite Polynomials to Predict the Coastal Erosion
Deep Learning and Change Detection for Fall Recognition
Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization
Study of Alpha Peak Fitting by Techniques Based on Neural Networks
Analysis of Heating Systems in Buildings Using Self-Organizing Maps
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods
A Deep Network System for Simulated Autonomous Driving Using Behavioral Cloning
Deep Imitation Learning with Memory for Robocup Soccer Simulation
Smart home context awareness based on Smart and Innovative Cities
Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks
Pareto-Based Multi-output Metamodeling with Active Learning
Categorization and Construction of Rule Based Systems
Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques
Brain Tumour Segmentation on 3D MRI Using Attention V-Net
Convolutional Neural Network for Detection of Building Contours Using Multisource Spatial Data
An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests
Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms
Managing Congestion in Vehicular Networks Using Tabu Search
Maximum Interstory Drift Ratio (MIDR) Equations for R/C Buildings Using Machine Learning Procedures
Multithreaded Local Learning Regularization Neural Networks for Regression Tasks
Regenerative Braking Control Strategy for Hybrid and Electric Vehicles Using Artificial Neural Networks
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character
Trend and Seasonality Elimination from Relational Data
Evaluating the Transferability of Personalised Exercise Recognition Models
Tampering Detection in Low-Power Smart Cameras
3D Vision-Based Autonomous Navigation System Using ANN and Kinect Sensor
Direct Zero-Norm Minimization for Neural Network Pruning and Training
Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0
Do Weibo Platform Experts Perform Better at Predicting Stock Market?
Quench Detection and Localization via Interpretable Machine Learning
Eye Movement Data Analysis
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN
Reliable Probabilistic Prediction of High-Risk Asymptomatic Carotid Plaques
Network Intrusion Detection on Apache Spark with Machine Learning Algorithms
Lower Bounds on Complexity of Shallow Perceptron Networks
EEG-Based Condition Clustering using Self-Organising Neural Network Map
Optimization of Freight Transportation Brokerage Using Agents and Constraints
Modelling and Trading the DJIA Financial Index Using Neural Networks Optimized with Adaptive Evolutionary Algorithms
Learning of Spatio-temporal Dynamics in Thermal Engineering
Energy-aware Management of Virtual Machines in Cloud Data Centers
Detecting Anomalous Self-citations Using Citation Network Analysis and LLMs
Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease
Feature Comparison and Feature Fusion for Traditional Dances Recognition
Detecting Irony on Greek Political Tweets: A Text Mining Approach
Exploiting LMM-Based Knowledge for Image Classification Tasks
Early Prediction of COVID-19 Onset by Fuzzy-Neuro Inference
A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations
Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach
Predicting Customer Churn Using Artificial Neural Network
Boosted Residual Networks
Combining LSTM and Feed Forward Neural Networks for Conditional Rhythm Composition
On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network
Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction
Electronic Equivalent of Consciousness with Elementary Mental Process Model
Improving Binary Semantic Scene Segmentation for Robotics Applications
Network Intrusion Detection System Using Data Mining
Mutual Information with Parameter Determination Approach for Feature Selection in Multivariate Time Series Prediction
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks
Prediction of Surface Texture Characteristics in Turning of FRPs Using ANN
Reservoir Computing Approaches Applied to Energy Management in Industry
DSS-PSP - A Decision Support Software for Evaluating Students' Performance
Mimicking Real Users' Interactions on Web Videos through a Controlled Experiment
Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda
Active Learning with Aggregated Uncertainties from Image Augmentations
Combining GRN Modeling and Demonstration-Based Programming for Robot Control
A Human-Centric Decision Support System for Zero-Defect Manufacturing Enabled by Human-in-the-Loop Learning
Tiling of Satellite Images to Capture an Island Object
Hierarchical Object Recognition Model of Increased Invariance
A Fuzzy Approach to Identity Resolution
Reliability Analysis of Post-Tensioned Bridge Using Artificial Neural Network-Based Surrogate Model
Pattern Recognition in Thermal Images of Plants Pine Using Artificial Neural Networks
Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part I
Intuitionistic Fuzzy Neural Network: The Case of Credit Scoring Using Text Information
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons
Mining HTML5 code: a view to how humans use emerging web standards
Optimizing voting classification using cluster analysis on medical diagnosis data
Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study
The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem
Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing
Feature Selection with L 1 Regularization in Formal Neurons
Evolutionary Optimization on Artificial Neural Networks for Predicting the User's Future Semantic Location
Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings
DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks
A New Metaheuristic Method for Optimization: Sonar Inspired Optimization
Isolating Stock Prices Variation with Neural Networks
A Convolutional Approach to Multiword Expression Detection Based on Unsupervised Distributed Word Representations and Task-Driven Embedding of Lexical Features
Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings
On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks
Boosting Simplified Fuzzy Neural Networks
A Custom State LSTM Cell for Text Classification Tasks
Automated Screening of Patients for Dietician Referral
Comparison of Asymmetric and Symmetric Neural Networks with Gabor Filters
A Hybrid Neural Emotion Recogniser for Human-Robotic Agent Interaction
Evolving an Indoor Robotic Localization System Based on Wireless Networks
Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives
Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and Constrained-Reinforcement Learning
Visual Analysis of a Cold Rolling Process Using Data-Based Modeling
Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves
A Meta-multicriteria Approach to Estimate Drought Vulnerability Based on Fuzzy Pattern Recognition
Analysis of DNA Barcode Sequences Using Neural Gas and Spectral Representation
A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture
Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems
ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs
Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing
Motion-Specialized Deep Convolutional Descriptor for Plant Water Stress Estimation
Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
Incentivizing Participation to Distributed Neural Network Training
Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms
Comparative Analysis of Machine Learning Techniques for Chronic Kidney Disease Prediction Efficiency
Fuzzy-Logic Inference for Early Detection of Sleep Onset in Car Driver
Living Labs in Smart Cities as Critical Enablers for Making Real the Modern Future Internet
Medical Decision Making via Artificial Neural Networks: A Smart Phone-Embedded Application Addressing Pulmonary Diseases' Diagnosis
Exploiting Fuzzy Expert Systems in Cardiology
Mining Student Learning Behavior and Self-assessment for Adaptive Learning Management System
Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros
An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Data-Driven Methods for Wi-Fi Anomaly Detection
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
Choice of Best Samples for Building Ensembles in Dynamic Environments
A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment
Automatic Landmark Location for Analysis of Cardiac MRI Images
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals
RR-FCN: Rotational Region-Based Fully Convolutional Networks for Object Detection
An Empirical Review of Uncertainty Estimation for Quality Control in CAD Model Segmentation
Elimination of a Catastrophic Destruction of a Memory in the Hopfield Model
Estimation of the Electric Field across Medium Voltage Surge Arresters Using Artificial Neural Networks
Two Hidden Layers are Usually Better than One
Kernel Networks for Function Approximation
On Learning Parameters of Incremental Learning in Chaotic Neural Network
A Package Recommendation Framework Based on Collaborative Filtering and Preference Score Maximization
Predicting Stock Price Movement Using Financial News Sentiment
An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications
Mixed Phenomenological and Neural Approach to Induction Motor Speed Estimation
Pruning Extreme Wavelets Learning Machine by Automatic Relevance Determination
Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing
Search Problems in Contemporary Power Girds
A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection
Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing
Direct Multi-label Linear Discriminant Analysis
Predicting and classifying short non-coding RNAs using a multiclass evolutionary methodology
Enhanced KNNC Using Train Sample Clustering
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms
Machine Learning Approach for Drone Perception and Control
A New Generalized Neuron Model Applied to DNA Microarray Classification
Multi-view Semi-supervised Learning Using Privileged Information
An Artificial Intelligence System for Endotracheal Intubation Confirmation
Image Pre-processing and Segmentation for Real-Time Subsea Corrosion Inspection
The Strength of Negative Opinions
Classification of Event Related Potentials of Error-Related Observations Using Support Vector Machines
Recognizing Emotion Presence in Natural Language Sentences
Application of a Neural Network to Improve the Automatic Measurement of Blood Pressure
A Grid-Enabled Modular Framework for Efficient Sequence Analysis Workflows
Echo State Networks in Data Marketplaces for Digital Content Creation
Hybrid Computational Model for Producing English Past Tense Verbs
Closed Loop Identification of Nuclear Steam Generator Water Level Using ESN Network Tuned by Genetic Algorithm
fNIRS-Based BCI Using Deep Neural Network with an Application to Deduce the Driving Mode Based on the Driver's Mental State
Recommender Systems Algorithm Selection Using Machine Learning
Towards a Reliable Face Recognition System
A Metalearning Study for Robust Nonlinear Regression
LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices
Predictive Model for Detecting MQ2 Gases Using Fuzzy Logic on IoT Devices
EEG-Based Hybrid Emotion Recognition Model with Statistical-Wavelet Features and Modality-Agnostic Loss
SNNs Model Analyzing and Visualizing Experimentation Using RAVSim
Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms
Characterization of DEM particles by means of artificial neural networks and macroscopic experiments
Autoregressive Deep Learning Models for Bridge Strain Prediction
An EANN-Based Recommender System for Drug Recommendation
Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs
Visual Based Contour Detection by Using the Improved Short Path Finding
Automatic Screening and Classification of Diabetic Retinopathy Fundus Images
Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics
Redesigning EHRs and Clinical Decision Support Systems for the Precision Medicine Era
Efficient Computational Prediction and Scoring of Human Protein-Protein Interactions Using a Novel Gene Expression Programming Methodology
Using Active Learning Methods for Predicting Fraudulent Financial Statements
Economies Clustering Using SOM-Based Dissimilarity
Implementing Hybrid Tsetlin Machine and Q-Learning for Solving the Job Shop Scheduling
Novel Neural Architecture for Air Data Angle Estimation
MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study
Emotion Recognition Using Facial Expression Images for a Robotic Companion
Automatic Facial Expression Neutralisation Using Generative Adversarial Network
Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece
Towards a Dynamic Waste Collection Management System using Real-time and Forecasted Data
DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics
Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets
Real-Time Psychophysiological Emotional State Estimation in Digital Gameplay Scenarios
Neural Trade-Offs among Specialist and Generalist Neurons in Pattern Recognition
A Genetic Algorithm for Discovering Linguistic Communities in Spatiosocial Tensors with an Application to Trilingual Luxemburg
Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos
Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning
Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation
Multi-track Transfer Reinforcement Learning for Power Consumption Management of Building Multi-type Air-Conditioners
Are Small Cells and Network Intelligence at the Edge the Drivers for 5G Market Adoption? The SESAME Case
Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin
An Exploration of Semi-supervised Text Classification
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning
Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19
Decoding Hand Trajectory from Primary Motor Cortex ECoG Using Time Delay Neural Network
Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods
VIMSEN: A Distributed Architecture for future Energy Market Frameworks
The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems
Engineering Applications of Neural Networks - 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part II
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems
Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles
Intelligent Chair Sensor - Classification of Sitting Posture
Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection
Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach
Students' Performance Prediction Model Using Meta-classifier Approach
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting