E-raamat: Artificial Intelligence Applications and Innovations: 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part I

.- 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.