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ORCID17th CIBB 2021: Virtual Event
- Davide Chicco
, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13483, Springer 2022, ISBN 978-3-031-20836-2 - Pasquale Stano:
Chemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI. 1-12 - Morghan Hartmann, Norman E. Fenton, Ruth Dobson:
Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis. 13-24 - Romane Scherrer, Rodrigue Govan, Thomas Quiniou, Thierry Jauffrais, Hugues Lemonnier, Sophie Bonnet, Nazha Selmaoui-Folcher:
Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram. 25-39 - Matteo Italia, Andrea Danani, Fabio Dercole, Raffaele Ferri, Mauro Manconi:
The First in-silico Model of Leg Movement Activity During Sleep. 40-52 - Nitsa J. Herzog, George D. Magoulas:
Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia. 53-66 - Mohammad Sorkhian, Megha Nagari, Moustafa Elsisy, Lourdes Peña Castillo:
Improving Bacterial sRNA Identification By Combining Genomic Context and Sequence-Derived Features. 67-78 - Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel:
High-Dimensional Multi-trait GWAS By Reverse Prediction of Genotypes Using Machine Learning Methods. 79-93 - Carolina Testa, Sara Pidò, Pietro Pinoli:
A Non-Negative Matrix Tri-Factorization Based Method for Predicting Antitumor Drug Sensitivity. 94-104 - Joshua Thompson, Haoyu Dong, Kai Liu, Fei He, Mihail Popescu, Dong Xu:
A Rule-Based Approach for Generating Synthetic Biological Pathways. 105-116 - Lilia Lazli:
Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data. 117-131 - Yijie Ren, Fei He, Jing Qu, Yifan Li, Joshua Thompson, Mark Hannink, Mihail Popescu, Dong Xu:
Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations. 132-142 - Dante Sepúlveda, Joel Rodríguez-Herrera, Alfredo Varela-Vega, Axel Zagal Norman, Carlos-Francisco Méndez-Cruz:
Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria. 143-157 - Antonella Mensi, Simona Schiavi, Maria Petracca, Nicole Graziano, Alessandro Daducci, Matilde Inglese, Manuele Bicego:
RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification. 158-169 - Hao Chi Kiang, Krzysztof Bartoszek, Sebastian Sakowski, Stefano Maria Iacus, Michele Vespe:
Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models. 170-184 - Aicha Boutorh, Hala Rahim, Yassmine Bendoumia:
Explainable AI Models for COVID-19 Diagnosis Using CT-Scan Images and Clinical Data. 185-199 - Beatriz Garcia Santa Cruz, Carlos Vega, Frank Hertel:
The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions. 200-216 - Lisa C. Crossman:
Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences. 217-226 - Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. 227-241 - Francesco Bardozzo, Mattia delli Priscoli, Andrea G. Russo, Davide Crescenzi, Ugo Di Benedetto, Fabrizio Esposito, Roberto Tagliaferri:
Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers. 242-252
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