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Computer Vision, Image and Speech Analysis
A novel ConvMixer transformer based architecture for violent behavior detection
Speech Emotion Recognition: Recent Advances and Current Trends
A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired
Hybrid Learning Model for Satellite Forest Image Segmentation
Adaptive Pruning for Multi-Head Self-Attention
Fast Visual Imperfection Detection When Real Negative Examples are Unavailable
Vision-Based Mobile Robots Control Along a Given Trajectory
Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP
Application of object detection models for the detection of kitchen furniture - A comparison
Support Learning Vovinam Exercises based on Computer Vision
Semantic Segmentation Neural Network in Automatic Weapon Detection
Various Problems of Artificial Intelligence
An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences
Monte Carlo Tree Search with metaheuristics
Phishing Attack Detection: An Improved Performance through Ensemble Learning
Removing Ambiguity in Natural Language for Generating Self Join Queries
Predicting Churn Rate in Companies
Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder
From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot
Bioinformatics, Biometrics and Medical Applications
3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields
Exploring target identification with K-nearest neighbors' algorithm
Computational models for COVID-19 dynamics prediction
Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow
A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors
Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification
A new rebinning reconstruction method for the low dose CT scanners with flying focal spot
Data Mining and Pateern Classification
Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems
An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem
Mining Correlated High-Utility Itemsets using the Cosine Measure
Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture model
Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools
On the Bayesian interpretation of penalized statistical estimators
Synthetic Data for Feature Selection
ML Support For Conformity Checks in CMDB-Like Databases
An Improvement of Graph Neural Network for Multi-behavior Recommendation
Binary Matrix Factorization Discretization
Combining linear classifiers using score function based on distance to decision boundar.
A novel ConvMixer transformer based architecture for violent behavior detection
Speech Emotion Recognition: Recent Advances and Current Trends
A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired
Hybrid Learning Model for Satellite Forest Image Segmentation
Adaptive Pruning for Multi-Head Self-Attention
Fast Visual Imperfection Detection When Real Negative Examples are Unavailable
Vision-Based Mobile Robots Control Along a Given Trajectory
Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP
Application of object detection models for the detection of kitchen furniture - A comparison
Support Learning Vovinam Exercises based on Computer Vision
Semantic Segmentation Neural Network in Automatic Weapon Detection
Various Problems of Artificial Intelligence
An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences
Monte Carlo Tree Search with metaheuristics
Phishing Attack Detection: An Improved Performance through Ensemble Learning
Removing Ambiguity in Natural Language for Generating Self Join Queries
Predicting Churn Rate in Companies
Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder
From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot
Bioinformatics, Biometrics and Medical Applications
3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields
Exploring target identification with K-nearest neighbors' algorithm
Computational models for COVID-19 dynamics prediction
Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow
A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors
Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification
A new rebinning reconstruction method for the low dose CT scanners with flying focal spot
Data Mining and Pateern Classification
Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems
An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem
Mining Correlated High-Utility Itemsets using the Cosine Measure
Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture model
Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools
On the Bayesian interpretation of penalized statistical estimators
Synthetic Data for Feature Selection
ML Support For Conformity Checks in CMDB-Like Databases
An Improvement of Graph Neural Network for Multi-behavior Recommendation
Binary Matrix Factorization Discretization
Combining linear classifiers using score function based on distance to decision boundar.