yusuke1997/dblp-id-title huggingface dataset:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece, June 5-7, 2020
A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph
Mining the Conceptual Model of Open Source CMS Using a Reverse Engineering Approach
A Robust Deep Ensemble Classifier for Figurative Language Detection
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions
Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation
Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods
Engineering Applications of Neural Networks - 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings
MPEG-4 Internet Traffic Estimation Using Recurrent CGPANN
Enhanced Weighted Restricted Neighborhood Search Clustering: A Novel Algorithm for Detecting Human Protein Complexes from Weighted Protein-Protein Interaction Graphs
Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition
A Method for the Detection of the Most Suitable Fuzzy Implication for Data Applications
Assessing Mobility Policies by Traffic Simulation and Change Detection
Balancing High-Dimensional Datasets with Complex Layers
Fuzzy Logic and Artificial Neural Networks for Advanced Authentication Using Soft Biometric Data
Application of Directional Vectors for Independent Subspaces in the Bio-Inspired Networks
Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum
House of Ads: a Multiplayer Action Game for Annotating Ad Video Content
Fish Classification in Context of Noisy Images
Engineering Applications of Neural Networks - 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings
Supporting and Consulting Infrastructure for Educators during Distance Learning Process: The Case of Russian Verbs of Motion
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis
Application of Artificial Neural Networks for Analyses of EEG Record with Semi-Automated Etalons Extraction: A Pilot Study
Analysis of Electricity Bill Data using Interactive Dimensionality Reduction
Evolutionary Ranking on Multiple Word Correction Algorithms Using Neural Network Approach
Learning User Models in Multi-criteria Recommender Systems
Supporting Patient Nutrition in Critical Care Units
A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation
A Multi-commodity Network Flow Model for Cloud Service Environments
HEDL-IDS 2 : An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection
Probabilistic Models Based Intrusion Detection Using Sequence Characteristics in Control System Communication
Bioinspired Early Prediction of Earthquakes Inferred by an Evolving Fuzzy Neural Network Paradigm
Anomaly Detection by Robust Feature Reconstruction
Use of Data Mining Techniques for Improved Detection of Breast Cancer with Biofield Diagnostic System
Modeling and Forecasting CAT and HDD Indices for Weather Derivative Pricing
AI-Based Water Quality Monitoring Module for the Segura Hydrographic Confederation Platform
Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry
Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders
Representation of Possessive Pronouns in Universal Networking Language
Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities
Using Echo State Networks to Classify Unscripted, Real-World Punctual Activity
Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks
Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words
Endotracheal Tube Position Confirmation System Using Neural Networks
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis
Fuzzy-Logic Decision Fusion for Nonintrusive Early Detection of Driver Fatigue or Drowsiness
Towards Improved User Experience for Artificial Intelligence Systems
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels
Deep Transfer Learning Application for Intelligent Marine Debris Detection
Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features
Improving the RACAI Neural Network MSD Tagger
Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos
No-Prop-fast - A High-Speed Multilayer Neural Network Learning Algorithm: MNIST Benchmark and Eye-Tracking Data Classification
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers
Graph-Based Fault Localization in Python Projects with Class-Imbalanced Learning
MRI-Based Brain Tumor Classification Using Ensemble CNN, VGG16, and ResNet50 Model
Driving Mental Fatigue Classification Based on Brain Functional Connectivity
Load-Shedding Management in a Smart Grid Architecture Through Smart Metering
A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance
Visual Movement Prediction for Stable Grasp Point Detection
Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network
Multidataset Incremental Training for Optic Disc Segmentation
Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques
Face Detection for Crowd Analysis Using Deep Convolutional Neural Networks
Automatic Detection of Different Harvesting Stages in Lettuce Plants by Using Chlorophyll Fluorescence Kinetics and Supervised Self Organizing Maps (SOMs)
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks
A New User Similarity Computation Method for Collaborative Filtering Using Artificial Neural Network
Security and Protection of Critical Infrastructures: A Conceptual and Regulatory Overview for Network and Information Security in the European Framework, also focusing upon the Cloud Perspective
Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network
Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids
Reducing Urban Concentration Using a Neural Network Model
Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters
Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors
Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization
Indirect Adaptive Control Using Hopfield-Based Dynamic Neural Network for SISO Nonlinear Systems
A Neural Network Computational Model of Visual Selective Attention
Elastic Net Application: Case Study to Find Solutions for the TSP in a Beowulf Cluster Architecture
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes
A Novel Artificial Neural Network Based Space Vector Modulated DTC and Its Comparison with Other Artificial Intelligence (AI) Control Techniques
A Novel Hierarchical Approach to Ranking-Based Collaborative Filtering
Evolving Fuzzy-Neural Method for Multimodal Speech Recognition
Application of Elastic Nets Using Phase Transition for Detection of Gene Expression Patterns with Different Carbon Sources
A Comparative Study on Bayesian Optimization
Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches
Identification of All Exact and Approximate Inverted Repeats in Regular and Weighted Sequences
Exploring Various Sequential Learning Methods for Deformation History Modeling
Engineering Applications of Neural Networks - 20th International Conference, EANN 2019, Hersonissos, Crete, Greece, May 24-26, 2019, Proceedings
Deep Learning Modeling of Groundwater Pollution Sources
Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning
Engineering Applications of Neural Networks - 15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings
Neural SDE-Based Epistemic Uncertainty Quantification in Deep Neural Networks
Face Spoof Detection: An Experimental Framework
A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device
A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations
Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity
Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User's Emotion Classification
Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines
Assistive X for Amyotrophic Lateral Sclerosis (ALS)
On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks
Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design
Time Series Forecasting in Cyberbullying Data
Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network
An Improved Algorithm for SVMs Classification of Imbalanced Data Sets
Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods
Complex Layers of Formal Neurons
Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G
Riverflow Prediction with Artificial Neural Networks
A New Lyapunov Analysis of Robust Stability of Neural Networks with Discrete Time Delays
Brain Inspired Learning for Neural Networks
Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition
Decision Making on Container Based Logistics Using Fuzzy Cognitive Maps
Understanding Users' Confidence in Spoken Queries for Conversational Search Systems
Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning
Urdu Speech Corpus and Preliminary Results on Speech Recognition
Fuzzy Logic Application to Searchable Cryptography
A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT
Adaptive Model for Industrial Systems Using Echo State Networks
Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs
A Hybrid Approach to Feature Ranking for Microarray Data Classification
Wind Power Forecasting to Minimize the Effects of Overproduction
Discovery of Weather Forecast Web Resources Based on Ontology and Content-Driven Hierarchical Classification
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark
On Forecasting Project Activity Durations with Neural Networks
An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images
Azimuthal Sound Localisation with Electronic Lateral Superior Olive
Optimal Traffic Flow Distributions on Dynamic Networks
Global Minimum Depth in Edwards-Anderson Model
Implications of Multi-tenancy upon RRM/Self-x Functions Supporting Mobility Control
A Robust, Quantization-Aware Training Method for Photonic Neural Networks
Development of a Clinical Decision Support System Using AI, Medical Data Mining and Web Applications
Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance
Reconstruction of Cross-Sectional Missing Data Using Neural Networks
Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment
An Operational Riverflow Prediction System in Helmand River, Afghanistan Using Artificial Neural Networks
Application of Asymmetric Networks to Movement Detection and Generating Independent Subspaces
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers
A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data
An Integrated Framework for Semantic Modelling and Decision Support in 3D Urban Virtual Environments
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification
A New Approach in Stability Analysis of Hopfield-Type Neural Networks: Almost Stability
Retrospective Clustering of COVID-19 Mortality Time Series Using Dynamic Time Warping
Neural Adaptive Control in Application Service Management Environment
Crossroad Detection Using Artificial Neural Networks
Application of Algorithmic Fuzzy Implications on Climatic Data
YOLOv5 and Residual Network for Intelligent Text Recognition on Degraded Serial Number Plates
Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations
Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks
Remarks on Tea Leaves Aroma Recognition Using Deep Neural Network
Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16
Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU
A Novel Neural Network-Based Recommender System for Drug Recommendation
Forecasting Functional Time Series Using Federated Learning
Evaluating Acceleration Techniques for Genetic Neural Architecture Search
Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice
Data Mining and Modelling for Wave Power Applications Using Hybrid SOM-NG Algorithm
Assessment of Parkinson's Disease Based on Deep Neural Networks
Instance Weighted Clustering: Local Outlier Factor and K-Means
Practical Considerations in Training Extreme Learning Machines
Neural Network Based Damage Detection of Dynamically Loaded Structures
Assessing the Impact of Preprocessing Pipelines on fMRI Based Autism Spectrum Disorder Classification: ABIDE II Results
Clustering of Entropy Topography in Epileptic Electroencephalography
Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networks
Application of Particle Swarm Optimization Algorithm to Neural Network Training Process in the Localization of the Mobile Terminal
Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia
Scalable Digital CMOS Architecture for Spike Based Supervised Learning
Optimization of Fuzzy Inference System Field Classifiers Using Genetic Algorithms and Simulated Annealing
A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities
Tracking of the Plasma States in a Nuclear Fusion Device Using SOMs
The Creative Ring Conceptual Architecture
Reconstructing Environmental Variables with Missing Field Data via End-to-End Machine Learning
Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1
SCH-EGA: An Efficient Hybrid Algorithm for the Frequency Assignment Problem
Regularized ICI Cancellation in V2V Communications
Inclusion of "Self-x" Properties in the SESAME-Based Wireless Backhaul for Support of Higher Performance
Smoothing Regularized Extreme Learning Machine
Fault Classification System for Computer Networks Using Fuzzy Probabilistic Neural Network Classifier (FPNNC)
A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth
Engineering Applications of Neural Networks - 11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings
A Multi-modal Audience Analysis System for Predicting Popularity of Online Videos
Comparing Neural Networks for Predicting Stock Markets
Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks
On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning
A Density Based k-Means Initialization Scheme
Prediction of Soil Nitrogen from Spectral Features Using Supervised Self Organising Maps
Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation
TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks
Combined Classification of Risk Factors for Appendicitis Prediction in Childhood
Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning
Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns
Inverse Kinematics via a Network Ensemble and Learning Method
Comparison of Network Intrusion Detection Performance Using Feature Representation
Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging
Local Binary Patterns and Neural Networks for No-Reference Image and Video Quality Assessment
Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems
Applying Snap-Drift Neural Network to Trajectory Data to Identify Road Types: Assessing the Effect of Trajectory Variability
Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks
Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes
Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data Environment
Detection of Damage in Composite Materials Using Classification and Novelty Detection Methods
A Neural Network Model for the Critical Frequency of the F2 Ionospheric Layer over Cyprus
Deriving Business Recommendations for Franchises Using Competitive Learning Driven MLP-Based Clustering
Prediction of Foreign Currency Exchange Rates Using CGPANN
Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks
Accelerated Optimal Topology Search for Two-Hidden-Layer Feedforward Neural Networks
Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN
Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields
A Norm-Chatbot: Local LLM Vision with Vision-Based RAG for Complex Production Documents and Task-Specific Responses
Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market
Probabilistic Prediction for the Detection of Vesicoureteral Reflux
Neural Networks for the Analysis of Mine-Induced Vibrations Transmission from Ground to Building Foundation
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines
Relational Reinforcement Learning Applied to Appearance-Based Object Recognition
Seasonality of Human Behavior in Smart Buildings
Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method
Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models
Discrete-Time Replicator Equations on Parallel Neural Networks
Dipolar Designing Layers of Formal Neurons
An Implementation of Disease Spreading over Biological Networks
Image Restoration Method by Total Variation Minimization Using Multilayer Neural Networks Approach
Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers
Semi-automated System for Pothole Detection and Location
Comparison of three classifiers for breast cancer outcome prediction
Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context
Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks
Study of Influence of Parameter Grouping on the Error of Neural Network Solution of the Inverse Problem of Electrical Prospecting
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery
Exploring Knowledge Distillation for Model Compression in Edge Environments
Imaging Time-Series for NILM
Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings
Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis
Predicting Permeability Based on Core Analysis
Addressing Computer Vision Challenges Using an Active Learning Framework
A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification
Learning Image Captioning as a Structured Transduction Task
Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks
Engineering Applications of Neural Networks - 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I
Horizon of Neural Network Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth
Synopsis of Video Files Using Neural Networks
Self-Train LogitBoost for Semi-supervised Learning
Information Theoretic Self-organised Adaptation in Reservoirs for Temporal Memory Tasks
Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants
Liver Cancer Trait Detection and Classification Through Machine Learning on Smart Mobile Devices
On Mining Opinions from Social Media
Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems - The Case of Pardubice Microregion
Extracting Knowledge from Web Search Engine Using Wikipedia
Text Analysis of COVID-19 Tweets
Bloom Filters for Efficient Coupling Between Tables of a Database
Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination
Backpropagation Neural Network Applications for a Welding Process Control Problem
Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms
Easy, Fast and Reliable Modulo and Linear Congruential Generator Approximation with Artificial Neural Networks
Enhancing the Levenberg-Marquardt Method in Neural Network training using the direct computation of the Error Cost Function Hessian
A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks
Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch
Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm
Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market
Relating Halftone Dot Quality to Paper Surface Topography
Deep Convolutional Neural Networks for Fire Detection in Images
An Intelligent GIS Database Framework Featuring Building Query Functionality Using n-grams Encoding and k-means Classification
Sparsity of Shallow Networks Representing Finite Mappings
AI-Based Automatic Counting and Classification of aedes Mosquito Eggs In Field Traps
Predicting Student Performance in Distance Higher Education Using Active Learning
Object-Oriented Neurofuzzy Modeling and Control of a Binary Distillation Column by Using MODELICA
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings
Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete
Ellipse Support Vector Data Description
Exploring the Limits of Vanilla CNN Architectures for Fine-Grained Vision-Based Vehicle Classification
Improvement of Routing in Opportunistic Communication Networks of Vehicles by Unsupervised Machine Learning
Online Route Scheduling for a Team of Service Robots with MOEAs and mTSP Model
Neural Networks for Digital Media Analysis and Description
An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators
Evaluation of Four Approaches for "Sentiment Analysis on Movie Reviews": The Kaggle Competition
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network
Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis