A pipeline and comparative study of 12 machine learning models for text classification A Occhipinti, L Rogers, C Angione Expert systems with applications 201, 117193, 2022 | 39 | 2022 |
In silico engineering of Pseudomonas metabolism reveals new biomarkers for increased biosurfactant production A Occhipinti, F Eyassu, TJ Rahman, PKSM Rahman, C Angione PeerJ 6, e6046, 2018 | 27 | 2018 |
Modelling circulating tumour cells for personalised survival prediction in metastatic breast cancer G Ascolani, A Occhipinti, P Liò PLoS computational biology 11 (5), e1004199, 2015 | 19 | 2015 |
Loss of full-length dystrophin expression results in major cell-autonomous abnormalities in proliferating myoblasts MRF Gosselin, V Mournetas, M Borczyk, S Verma, A Occhipinti, J Róg, ... Elife 11, e75521, 2022 | 16 | 2022 |
Combining pathway identification and breast cancer survival prediction via screening-network methods A Iuliano, A Occhipinti, C Angelini, I De Feis, P Liò Frontiers in genetics 9, 371112, 2018 | 15 | 2018 |
Cancer markers selection using network-based cox regression: a methodological and computational practice A Iuliano, A Occhipinti, C Angelini, I De Feis, P Lió Frontiers in physiology 7, 198667, 2016 | 14 | 2016 |
Discovering essential multiple gene effects through large scale optimization: an application to human cancer metabolism A Occhipinti, Y Hamadi, H Kugler, CM Wintersteiger, B Yordanov, ... IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 13 | 2020 |
Cosmonet: An r package for survival analysis using screening-network methods A Iuliano, A Occhipinti, C Angelini, I De Feis, P Liò Mathematics 9 (24), 3262, 2021 | 5 | 2021 |
Mechanism-aware and multimodal AI: beyond model-agnostic interpretation A Occhipinti, S Verma, C Angione Trends in Cell Biology, 2023 | 4 | 2023 |
Machine learning methods for survival analysis with clinical and transcriptomics data of breast cancer LMT Doan, C Angione, A Occhipinti Computational biology and machine learning for metabolic engineering and …, 2022 | 4 | 2022 |
CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design A Mancini, F Eyassu, M Conway, A Occhipinti, P Liò, C Angione, ... BMC bioinformatics 19, 123-130, 2018 | 3 | 2018 |
Bose–Einstein condensation in satisfiability problems C Angione, A Occhipinti, G Stracquadanio, G Nicosia European Journal of Operational Research 227 (1), 44-54, 2013 | 3 | 2013 |
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling S Vijayakumar, G Magazzù, P Moon, A Occhipinti, C Angione Computational Systems Biology in Medicine and Biotechnology: Methods and …, 2022 | 2 | 2022 |
Applications of network-based survival analysis methods for pathways detection in cancer A Iuliano, A Occhipinti, C Angelini, I De Feis, P Lió Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2015 | 2 | 2015 |
A Computational Model of Cancer Metabolism for Personalised Medicine A Occhipinti, C Angione Building Bridges in Medical Science 2021, 2021 | 1 | 2021 |
Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions C Angione, A Occhipinti, G Nicosia Journal of Experimental Algorithmics (JEA) 19, 1.4, 2014 | 1 | 2014 |
Meta databases of steel frame buildings for surrogate modelling and machine learning-based feature importance analysis D Samadian, IB Muhit, A Occhipinti, N Dawood Resilient Cities and Structures 3 (1), 20-43, 2024 | | 2024 |
Chapter Retrofitting of Buildings to Improve Energy Efficiency: A Comprehensive Systematic Literature Review and Future Research Directions E Imani, H Dawood, N Dawood, A Occhipinti Firenze University Press, 2023 | | 2023 |
Environmental measurements and genetic effects for cancer survival integration data A Iuliano, A Occhipinti 2022 IEEE International Workshop on Metrology for Living Environment …, 2022 | | 2022 |
Network-based survival analysis methods for pathway detection in cancer A Iuliano, A Occhipinti, X Haoming, C Angelini, I De Feis, P Liò Computational Intelligence Methods for Bioinformatics and Biostatistics-11th …, 2014 | | 2014 |