Pervasive AI: (deep) Learning into the Wild
Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies
Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost
Improving Primate Sounds Classification Using Binary Presorting for Deep Learning
Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes
Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach
A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection
An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven
Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight
Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition
Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch
A Study of Neural Collapse for Text Classification
Research Data Reusability with Content-Based Recommender System
MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos
A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data
Explaining Relation Classification Models with Semantic Extents
Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts
Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions
ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language
Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models
Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels
TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity
Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning
UMLDesigner: An Automatic UML Diagram Design Tool
Graph Neural Networks for Circuit Diagram Pattern Generation
Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets
A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems
GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation
Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes
FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes
CSR & Sentiment Analysis: A New Customized Dictionary.