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ORCID20th AIAI 2024: Corfu, Greece
- Ilias Maglogiannis
, Lazaros S. Iliadis, John MacIntyre, Markos Avlonitis, Antonios Papaleonidas:
Artificial Intelligence Applications and Innovations - 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part I. IFIP Advances in Information and Communication Technology 711, Springer 2024, ISBN 978-3-031-63210-5
Biomedical/Classification
- Ana Duarte, Orlando Belo:
A Novel Signature for Distinguishing Non-lesional from Lesional Skin of Atopic Dermatitis Based on a Machine Learning Approach. 3-16 - Dimitrios Simopoulos, Dimitrios Kosmidis, Sotiria Koutsouki, Nicolas Bonnotte, George C. Anastassopoulos:
Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare. 17-30 - Konstantinos Lazaros, Themis P. Exarchos, Ilias Maglogiannis, Panagiotis Vlamos, Aristidis G. Vrahatis:
Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method. 31-41 - Julian Strohmayer, Martin Kampel:
Data Augmentation Techniques for Cross-Domain WiFi CSI-Based Human Activity Recognition. 42-56 - Dea Louisa B. Magsino, Russel Lenard O. Mercado, Francesca Nicole F. Rivera, Ma. Sheila A. Magboo, Vincent Peter C. Magboo:
Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction. 57-67 - Panagiotis G. Syriopoulos, Andreas D. Andriopoulos, Dimitrios A. Koutsomitropoulos:
Evaluation of Language Models for Multilabel Classification of Biomedical Texts. 68-78 - Taylor Magielse, Diana Pena Lage, Isabel Van Lieshout, Jan Treur:
Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Major Depressive Disorder. 79-90 - Yingying Zhou, Yongqiang Ma, Xin Tang, Jianji Wang, Nanning Zheng:
Human-In-The-Loop Based Success Rate Prediction for Medical Crowdfunding. 91-104 - Emanuel Slany, Stephan Scheele, Ute Schmid:
Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis. 105-116 - Md Tasnim Alam, Yaa Takyiwaa Acquaah, Kaushik Roy:
Image-Based Human Action Recognition with Transfer Learning Using Grad-CAM for Visualization. 117-130 - David Hurst, Costas S. Iliopoulos, Zara Lim, Ionut Moraru:
IRfold: An RNA Secondary Structure Prediction Approach. 131-144 - Alina Delia Calin:
Machine Learning Models for Predicting Celiac Disease Based on Non-invasive Clinical Symptoms. 145-159 - Safa Ben Ayed, Malika Ben Khalifa, Samir Ouchani:
Modeling Distributed and Flexible PHM Framework Based on the Belief Function Theory. 160-173 - Zhaohai Liang, Jiayi Wu, Siyi Chai, Yingkai Wang, Chengdong Li, Cong Shen, Jingmin Xin:
MTA-Net: A Multi-task Assisted Network for Whole-Body Lymphoma Segmentation. 174-186 - Andreas Avgoustis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
Optimization of Healthcare Process Management Using Machine Learning. 187-200 - Marina G. Elia, Wenting Duan:
Revisiting the Problem of Missing Values in High-Dimensional Data and Feature Selection Effect. 201-213 - Theodora Tasia, Christoniki Maga-Nteve, Nikos Tsolakis, Georgios Meditskos, Thanassis Mavropoulos, Stefanos Vrochidis:
Semantic Modelling for Representation and Integration of Health Data from Wearable Devices. 214-225 - Lotte Huisman, Catherine Ong, Marco van de Werken, Jan Treur:
The Role of Epigenetics in OCD: A Multi-order Adaptive Network Model for DNA-Methylation Pathways and the Development of OCD. 226-240 - Melissa El Beaini, Mariette Awad:
Towards an Unbiased Classification of Chest X-ray Images Using a RL Powered ACGAN Framework. 241-254 - Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Oussama Aiadi, Monji Kherallah:
Vision Transformer Based Tokenization for Enhanced Breast Cancer Histopathological Images Classification. 255-267 - Norah Ahmed Almubairik, Fakhri Alam Khan, Rami Mustafa A. Mohammad:
WristSense: A Wrist-Wear Dataset for Identifying Aggressive Tendencies. 268-284
Cyber Security/Anomaly Detection
- Efthymios Chondrogiannis, Efstathios Karanastasis, Vassiliki Andronikou, Theodora A. Varvarigou:
A Network-Based Intrusion Detection System Based on Widely Used Cybersecurity Datasets and State of the Art ML Techniques. 287-300 - Rina Ajay Yadav, Doina Logofatu, Sheikh Sharfuddin Mim, Jiban Kumar Ray:
Effective Machine Learning Techniques and API Realizations for Visualizing Fraud Detection in Customer Transactions. 301-315 - Nihala Basheer, Bernardi Pranggono, Shareeful Islam, Spyridon Papastergiou, Haralambos Mouratidis:
Enhancing Malware Detection Through Machine Learning Using XAI with SHAP Framework. 316-329 - Yaa Takyiwaa Acquaah, Kaushik Roy:
Exploration of Ensemble Methods for Cyber Attack Detection in Cyber-Physical Systems. 330-347 - Konstantinos Christopoulos, Konstantinos Tsichlas:
Local Community-Based Anomaly Detection in Graph Streams. 348-361 - Ahmed Abdullah Khaled, Md Mahmudul Hasan, Shareeful Islam, Spyridon Papastergiou, Haralambos Mouratidis:
Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection. 362-374
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