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ORCID24th ICCS 2024: Malaga, Spain - Part IV
- Leonardo Franco
, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14835, Springer 2024, ISBN 978-3-031-63771-1
Biomedical and Bioinformatics Challenges for Computer Science
- Adrián Segura-Ortiz, José García-Nieto, José Francisco Aldana Montes:
Exploiting Medical-Expert Knowledge Via a Novel Memetic Algorithm for the Inference of Gene Regulatory Networks. 3-17 - Adam Switonski, Henryk Josinski:
Human Sex Recognition Based on Dimensionality and Uncertainty of Gait Motion Capture Data. 18-30 - Karim Salta, Tomojit Ghosh, Michael Kirby:
A Multi-domain Multi-task Approach for Feature Selection from Bulk RNA Datasets. 31-45 - Hina Shaheen, Roderick Melnik:
Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic Data. 46-60 - Szymon Mazurek, Monika Pytlarz, Sylwia Malec, Alessandro Crimi:
Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation. 61-74 - Maria Chiara Martinis, Chiara Zucco, Mario Cannataro:
Negation Detection in Medical Texts. 75-87 - Aneta Polewko-Klim, Pawel Grablis, Witold R. Rudnicki:
EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data. 88-96 - Pietro Cinaglia, Marianna Milano:
A Method for Inferring Candidate Disease-Disease Associations. 97-104 - Konrad Furmanczyk, Wojciech Niemiro, Mariola Chrzanowska, Marta Zalewska:
Network Model with Application to Allergy Diseases. 105-112 - Joel Cedeño-Muñoz, Cristian Zambrano-Vega, Antonio J. Nebro:
TM-MSAligner: A Tool for Multiple Sequence Alignment of Transmembrane Proteins. 113-121 - Anastasia Vodeneeva, Iosif B. Meyerov, Yury Rodimkov, Mikhail Ivanchenko, Vladimir Sotskov, Mikhail Krivonosov, Konstantin Anokhin:
Determining Mouse Behavior Based on Brain Neuron Activity Data. 122-129 - Ahmed Abdeen Hamed, Alessandro Crimi, Byung Suk Lee, Magdalena M. Misiak:
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification. 130-137 - Mateusz Rzycki, Karolina Wasyluk, Dominik Drabik:
Identification of Domain Phases in Selected Lipid Membrane Compositions. 138-146 - Lucas Marins Ramalho de Lima, Rafael Rocha Ribeiro, Lucas Arantes Berg, Bernardo Martins Rocha, Rafael Sachetto Oliveira, Rodrigo Weber dos Santos, Joventino Oliveira Campos:
MonoWeb: Cardiac Electrophysiology Web Simulator. 147-154 - Shoffan Saifullah, Rafal Drezewski:
Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification. 155-162 - Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. 163-170
Computational Health
- Karolina Tlalka, Harry Saxton, Ian Halliday, Xu Xu, Daniel J. Taylor, Andrew J. Narracott, Maciej Malawski:
Local Sensitivity Analysis of a Closed-Loop in Silico Model of the Human Baroregulation. 173-187 - Jaroslaw Watróbski, Aleksandra Baczkiewicz, Iga Rudawska:
Healthcare Resilience Evaluation Using Novel Multi-criteria Method. 188-195 - Tika van Bennekum, Marie Colin, Valeria V. Krzhizhanovskaya, Daniel Bonn:
Plasma-Assisted Air Cleaning Decreases COVID-19 Infections in a Primary School: Modelling and Experimental Data. 196-209 - Ashish T. S. Ireddy, Sergey V. Kovalchuk:
Modelling Information Perceiving Within Clinical Decision Support Using Inverse Reinforcement Learning. 210-223 - Chao Li, Olga Petruchik, Elizaveta Grishanina, Sergey V. Kovalchuk:
Modelling of Practice Sharing in Complex Distributed Healthcare System. 224-238 - Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier:
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. 239-246 - Yulia Abramova, Vasiliy N. Leonenko:
The Past Helps the Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks. 247-254 - Hadrien Salem, Sarah Ben Othman, Marc Broucqsault, Slim Hammadi:
Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease. 255-269 - Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa:
Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques. 270-278 - Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann:
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs. 279-293 - Maciej Mozolewski, Szymon Bobek, Grzegorz J. Nalepa:
Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models. 294-309 - Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa:
Understanding Survival Models Through Counterfactual Explanations. 310-324 - Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel:
Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation. 325-339 - Shoffan Saifullah, Rafal Drezewski:
Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach. 340-354 - Abir Boulif, Bouchra Ananou, Mustapha Ouladsine, Stéphane Delliaux:
Focal-Based Deep Learning Model for Automatic Arrhythmia Diagnosis. 355-370 - Sofiia Vdovkina, Ilya V. Derevitskii, Levon Abramyan, Aleksandra Vatian:
Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks. 371-378 - Malgorzata Kretowska, Marek Kretowski:
Global Induction of Oblique Survival Trees. 379-386 - Sergei Leontev, Maria Simakova, Vitaly Lukinov, Konstantin Pishchulov, Ilya V. Derevitskii, Levon Abramyan, Alexandra Vatian:
Development of a VTE Prediction Model Based on Automatically Selected Features in Glioma Patients. 387-395
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