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Renato Umeton
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2020 – today
- 2024
- [e11]Giuseppe Nicosia
, Varun Ojha
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - [e10]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - 2023
- [j5]Alexandros Karargyris
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [e9]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 [contents] - [e8]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - 2022
- [e7]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 [contents] - [e6]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 [contents] - [i2]David Brundage, Jacob Rosenthal, Ryan Carelli, Sophie Rand, Renato Umeton, Massimo Loda, Luigi Marchionni:
Whole Slide Image to DICOM Conversion as Event-Driven Cloud Infrastructure. CoRR abs/2203.13888 (2022) - 2021
- [j4]Alexander Chowdhury, Jacob Rosenthal
Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations. Informatics 8(3): 59 (2021) - [c5]Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris:
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. BrainLes@MICCAI (1) 2021: 3-24 - [i1]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - 2020
- [j3]Jonathan Waring, Charlotta Lindvall, Renato Umeton
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare. Artif. Intell. Medicine 104: 101822 (2020) - [c4]John Methot, Renato Umeton, Gregory Antell:
Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute. AMIA 2020 - [e5]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12565, Springer 2020, ISBN 978-3-030-64582-3 [contents] - [e4]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12566, Springer 2020, ISBN 978-3-030-64579-3 [contents]
2010 – 2019
- 2019
- [e3]Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca:
Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11331, Springer 2019, ISBN 978-3-030-13708-3 [contents] - [e2]Giuseppe Nicosia, Panos M. Pardalos
Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11943, Springer 2019, ISBN 978-3-030-37598-0 [contents] - 2018
- [e1]Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10710, Springer 2018, ISBN 978-3-319-72925-1 [contents] - 2012
- [j2]Renato Umeton
OREMPdb: a semantic dictionary of computational pathway models. BMC Bioinform. 13(S-4): S6 (2012) - 2011
- [j1]David Nordsletten
Multiscale Mathematical Modeling to Support Drug Development. IEEE Trans. Biomed. Eng. 58(12): 3508-3512 (2011) - [c3]Renato Umeton
Design of robust metabolic pathways. DAC 2011: 747-752 - [c2]Giovanni Stracquadanio
Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response. ICARIS 2011: 15-29 - 2010
- [c1]Giovanni Stracquadanio
Analysis and Optimization of C3 Photosynthetic Carbon Metabolism. BIBE 2010: 44-51
Coauthor Index
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