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ORCID18th CIBB 2023: Padua, Italy
- Martina Vettoretti
, Erica Tavazzi, Enrico Longato, Giacomo Baruzzo, Massimo Bellato:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 18th International Meeting, CIBB 2023, Padua, Italy, September 6-8, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14513, Springer 2025, ISBN 978-3-031-90713-5 - Davide Torre, Giuseppe F. Italiano, Blerina Sinaimeri:
A Network Approach to Aquatic Food Web Dynamics. 1-15 - Tiziana Currieri, Giovanni Cicceri, Sergio Cannata, Giansalvo Cirrincione, Marta Lovino, Carmelo Militello, Francesco Prinzi, Eros Pasero, Salvatore Vitabile:
Leveraging Diffuser Data Augmentation to Enhance ViT-Based Performance on Dermatoscopic Melanoma Images Classification. 16-27 - Grégoire D'Andrea, Cyprien Gille, Thierry Pourcher, Michel Barlaud:
Thyroid Nodule Diagnosis Using a New Supervised Autoencoder Neural Network with ℓ 1,∞ Projection. 28-42 - Giuseppe Marano, Giacomo Biganzoli, Ester Luconi, Elia M. Biganzoli, Patrizia Boracchi:
Can Smoothing Methods Recognize the Patterns of the Hazard Function in Complex Clinical Scenarios? - A Simulation Study Using Discrete-Time Survival Models. 43-57 - Maolin Yang, Zeran Lu, Yucong Lin, Hong Song, Jian Yang:
Nested Named Entity Recognition in Chinese Electronic Medical Records. 58-69 - Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Giuseppe Marino, Filippo Vella, Riccardo Rizzo:
Transformers for Interpretable Classification of Histopathological Images. 70-88 - Francesco Prinzi, Carmelo Militello, Tommaso Vincenzo Bartolotta, Salvatore Vitabile:
Breast Cancer Malignancy Prediction through Explainable Models based on a Multimodal Signature of Features. 89-100 - Anuththara Lokubandara, Vasanth Mandla, Chiquito J. Crasto:
Exploring the Conformational Odorant Space in the Olfactory Receptor Binding Region. 101-116 - Riccardo Aucello, Nicola Licheri, Elena Rosso, Giulio Ferrero, Sandro Gepiro Contaldo, Simone Pernice, Pietro Lió, Francesca Cordero, Marco Beccuti:
Synergy Between Mechanistic Modelling and Ensemble Feature Selection Approaches to Explore Multiscale Biological Heterogeneity. 117-130 - Nicola Apollonio, Paolo Giulio Franciosa, Daniele Santoni:
Homophily of Large Weighted Networks in a Data Streaming Setting. 131-142 - Daniele Baccega, Simone Pernice, Paolo Castagno, Matteo Sereno, Marco Beccuti:
Living Along COVID-19: Assessing Contention Policies Through Agent-Based Models. 143-161 - Marco Beccuti, Giuliana Franceschinis, Marzio Pennisi, Simone Pernice, Irene Terrone:
Stochastic Modeling and Dosage Optimization of a Cancer Vaccine Exploiting the EpiMod Framework. 162-176 - Irene Terrone, Daniela Volpatto, Simone Pernice, Elvio G. Amparore, Roberta Sirovich, Francesca Cordero, Marco Beccuti:
Extension of the GreatMod Modeling Framework to Simulate Non-Markovian Processes with General-Distributed Events. 177-191 - Giovanni Marteletto, Bruno G. Galuzzi, Chiara Damiani:
Identifying Damage-Related Features in scRNA-seq Data. 192-201 - Francesca Miccolis, Marta Lovino, Elisa Ficarra:
A Benchmark Study of Gene Fusion Prioritization Tools. 202-211 - Bastian Pfeifer, Michael G. Schimek:
Improving the Reliability of Tree-Based Feature Importance via Consensus Signals. 212-225 - Riccardo Benedetti, Muhammad Suffian Nizami, Alessandro Bogliolo, Barbara Canonico, Stefano Papa, Claudio Ortolani, Sara Montagna:
Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry. 226-236 - Sara Joubbi, Giuseppe Maccari, Dario Cardamone, Giorgio Ciano, Alessio Micheli, Paolo Milazzo, Duccio Medini:
Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy. 237-254 - Camila Riccio-Rengifo, Silvia Cascianelli, Gaia Ceddia, Marco Masseroli:
Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative Matrix Tri-Factorization. 255-272 - Mauro Nascimben, Lia Rimondini:
Screening the Bioactivity of the P450 Enzyme by Spiking Neural Networks. 273-292 - Sofia Mongardi, Silvia Cascianelli, Marco Masseroli:
Enhancing Functional Interpretability in Gene Expression Analysis Through Biologically-Guided Feature Selection. 293-307 - Sandra Eugenia Barajas Montiel, Carlos A. Reyes García:
Extraction of Attributes from Electrodermal Activity Signals Applying Time Series Fuzzy Granulation for Classification of Academic Stress Perception in Different Scenarios. 308-320 - Antonio Agliata, Francesco Bardozzo, Salvatore Bottiglieri, Giovanni Marco Di Vincenzo, Sorrentino Mariacarmen, Roberto Tagliaferri:
Transfer Learning and AutoML as a Support for the Pneumonia Diagnosis Using Chest X-ray Scan. 321-329
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