Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jansen, Giorgio"'
Autor:
Ojha, Varun, Jansen, Giorgio, Patane, Andrea, La Magna, Antonino, Romano, Vittorio, Nicosia, Giuseppe
Publikováno v:
Energy Systems, 2021
We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximization. We evaluated structures of 15 different cell designs simulated by v
Externí odkaz:
http://arxiv.org/abs/2109.07279
Akademický článek
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Autor:
Lutscher, Daniel, Hassouni, Ali el, Stol, Maarten, Hoogendoorn, Mark, Nicosia, Giuseppe, Ojha, Varun, La Malfa, Emanuele, La Malfa, Gabriele, Jansen, Giorgio, Pardalos, Panos M., Giuffrida, Giovanni, Umeton, Renato
Publikováno v:
Lutscher, D, Hassouni, A E, Stol, M & Hoogendoorn, M 2022, Mixing Consistent Deep Clustering . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science : [Proceedings] 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 124-137, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 4/10/21 . https://doi.org/10.1007/978-3-030-95467-3_10
Machine Learning, Optimization, and Data Science: [Proceedings] 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 124-137
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Machine Learning, Optimization, and Data Science: [Proceedings] 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 124-137
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Finding well-defined clusters in data represents a fundamental challenge for many data-driven applications, and largely depends on good data representation. Drawing on literature regarding representation learning, studies suggest that one key charact
Autor:
el Hassouni, Ali, Hoogendoorn, Mark, Ciharova, Marketa, Kleiboer, Annet, Amarti, Khadicha, Muhonen, Vesa, Riper, Heleen, Eiben, A. E., Nicosia, Giuseppe, Ojha, Varun, La Malfa, Emanuele, La Malfa, Gabriele, Jansen, Giorgio, Pardalos, Panos M., Giuffrida, Giovanni, Umeton, Renato
Publikováno v:
Machine Learning, Optimization, and Data Science-7th International Conference, LOD 2021, Revised Selected Papers, 13163 LNCS, 265-280
el Hassouni, A, Hoogendoorn, M, Ciharova, M, Kleiboer, A, Amarti, K, Muhonen, V, Riper, H & Eiben, A E 2022, pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science : 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 265-280, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 4/10/21 . https://doi.org/10.1007/978-3-030-95467-3_20
Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 265-280
el Hassouni, A, Hoogendoorn, M, Ciharova, M, Kleiboer, A, Amarti, K, Muhonen, V, Riper, H & Eiben, A E 2022, pH-RL : A Personalization Architecture to Bring Reinforcement Learning to Health Practice . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science-7th International Conference, LOD 2021, Revised Selected Papers . vol. 13163 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 265-280, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 04/10/2021 . https://doi.org/10.1007/978-3-030-95467-3_20
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
el Hassouni, A, Hoogendoorn, M, Ciharova, M, Kleiboer, A, Amarti, K, Muhonen, V, Riper, H & Eiben, A E 2022, pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science : 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 265-280, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 4/10/21 . https://doi.org/10.1007/978-3-030-95467-3_20
Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 265-280
el Hassouni, A, Hoogendoorn, M, Ciharova, M, Kleiboer, A, Amarti, K, Muhonen, V, Riper, H & Eiben, A E 2022, pH-RL : A Personalization Architecture to Bring Reinforcement Learning to Health Practice . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science-7th International Conference, LOD 2021, Revised Selected Papers . vol. 13163 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 265-280, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 04/10/2021 . https://doi.org/10.1007/978-3-030-95467-3_20
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
While reinforcement learning (RL) has proven to be the approach of choice for tackling many complex problems, it remains challenging to develop and deploy RL agents in real-life scenarios successfully. This paper presents pH-RL (personalization in e-
Autor:
Amaradio, Matteo N, Ojha, Varun, Jansen, Giorgio, Gulisano, Massimo, Costanza, Jole, Nicosia, Giuseppe
Publikováno v:
Biotechnology and bioengineering. 119(7)
Our research aims to help industrial biotechnology develop a sustainable economy using green technology based on microorganisms and synthetic biology through two case studies that improve metabolic capacity in yeast models Yarrowia lipolytica (Y. lip
Autor:
Silvestrin, Luis P., Pantiskas, Leonardos, Hoogendoorn, Mark, Nicosia, Giuseppe, Ojha, Varun, La Malfa, Emanuele, La Malfa, Gabriele, Jansen, Giorgio, Pardalos, Panos M., Giuffrida, Giovanni, Umeton, Renato
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 250-264
Silvestrin, L P, Pantiskas, L & Hoogendoorn, M 2022, A Framework for Imbalanced Time-Series Forecasting . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science : 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 250-264, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 4/10/21 . https://doi.org/10.1007/978-3-030-95467-3_19
Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I, 1, 250-264
Silvestrin, L P, Pantiskas, L & Hoogendoorn, M 2022, A Framework for Imbalanced Time-Series Forecasting . in G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, P M Pardalos, G Giuffrida & R Umeton (eds), Machine Learning, Optimization, and Data Science : 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13163 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 250-264, 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Virtual, Online, 4/10/21 . https://doi.org/10.1007/978-3-030-95467-3_19
Time-series forecasting plays an important role in many domains. Boosted by the advances in Deep Learning algorithms, it has for instance been used to predict wind power for eolic energy production, stock market fluctuations, or motor overheating. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c9d177f627c3db3f120a6cb5c84fcb
https://research.vu.nl/en/publications/f697cf73-db33-45ee-a0e4-2c11dbefdccd
https://research.vu.nl/en/publications/f697cf73-db33-45ee-a0e4-2c11dbefdccd
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Patané, Andrea1, Jansen, Giorgio2,3, Nicosia, Giuseppe2,3,4, Conca, Piero5, Carapezza, Giovanni5, Costanza, Jole5
Publikováno v:
Annals of Operations Research. May2019, Vol. 276 Issue 1/2, p211-227. 17p.
Autor:
Ojha, Varun, Jansen, Giorgio, Patanè, Andrea, La Magna, Antonino, Romano, Vittorio, Nicosia, Giuseppe
Publikováno v:
Energy Systems; May2022, Vol. 13 Issue 2, p355-382, 28p