Artificial Intelligence Applications and Innovations

.- A Novel Signature for Distinguishing Non-Lesional from Lesional Skin of Atopic Dermatitis Based on a Machine Learning Approach.
.- Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare.
.- Advancing scRNA-seq Data Integration via a Novel Gene Selection Method.
.- Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition.
.- Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction.
.- Evaluation of Language Models for Multilabel Classification of Biomedical Texts.
.- Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Major Depressive Disorder.
.- Human-In-The-Loop based Success Rate Prediction for Medical Crowdfunding.
.- Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis.
.- Image-Based Human Action Recognition with Transfer Learning using Grad-CAM for Visualization.
.- IRFold: An RNA Secondary Structure Prediction Approach.
.- Machine Learning Models for Predicting Celiac Disease Based on Non-invasive Clinical Symptoms.
.- Modeling Distributed and Flexible PHM System based on the Belief Function Theory.
.- MTA-Net: a Multi-task Assisted Network for Whole-body Lymphoma Segmentation.
.- Optimization of healthcare process management using machine learning.
.- Revisiting the problem of missing values in high-dimensional data and feature selection effect.
.- Semantic Modelling for Representation and Integration of Health Data from Wearable Devices.
.- The Role of Epigenetics in OCD: a Multi-Order Adaptive Network Model for DNA-Methylation Pathways and the Development of OCD.
.- Towards an Unbiased Classification of Chest X-ray Images using a RL Powered ACGAN Framework.
.- Vision transformer based tokenization for enhanced breast cancer histopathological images classification.
.- WristSense: A Wrist-wear Dataset for Identifying Aggressive Tendencies.
.- A Network-based Intrusion Detection System based on widely used Cybersecurity Datasets and State of the Art ML techniques.
.- Effective Machine Learning Techniques and API Realizations for Visualizing Fraud Detection in Customer Transactions.
.- Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework.
.- Exploration of Ensemble Methods for Cyber Attack Detection in Cyber-Physical Systems.
.- Local Community-Based Anomaly Detection in Graph Streams.
.- Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection.