Zobrazeno 1 - 10
of 92
pro vyhledávání: '"MAZURENKO, STANISLAV"'
Autor:
Attafi, Omar Abdelghani, Clementel, Damiano, Kyritsis, Konstantinos, Capriotti, Emidio, Farrell, Gavin, Fragkouli, Styliani-Christina, Castro, Leyla Jael, Hatos, András, Lenaerts, Tom, Mazurenko, Stanislav, Mozaffari, Soroush, Pradelli, Franco, Ruch, Patrick, Savojardo, Castrense, Turina, Paola, Zambelli, Federico, Piovesan, Damiano, Monzon, Alexander Miguel, Psomopoulos, Fotis, Tosatto, Silvio C. E.
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling an
Externí odkaz:
http://arxiv.org/abs/2408.07721
Autor:
Bushuiev, Anton, Bushuiev, Roman, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef
In recent years, there has been remarkable progress in machine learning for protein-protein interactions. However, prior work has predominantly focused on improving learning algorithms, with less attention paid to evaluation strategies and data prepa
Externí odkaz:
http://arxiv.org/abs/2404.10457
Autor:
Bushuiev, Anton, Bushuiev, Roman, Kouba, Petr, Filkin, Anatolii, Gabrielova, Marketa, Gabriel, Michal, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef
Discovering mutations enhancing protein-protein interactions (PPIs) is critical for advancing biomedical research and developing improved therapeutics. While machine learning approaches have substantially advanced the field, they often struggle to ge
Externí odkaz:
http://arxiv.org/abs/2310.18515
Autor:
Harding-Larsen, David, Funk, Jonathan, Madsen, Niklas Gesmar, Gharabli, Hani, Acevedo-Rocha, Carlos G., Mazurenko, Stanislav, Welner, Ditte Hededam
Publikováno v:
In Biotechnology Advances December 2024 77
Autor:
Mican, Jan, Jaradat, Da'san M.M., Liu, Weidong, Weber, Gert, Mazurenko, Stanislav, Bornscheuer, Uwe T., Damborsky, Jiri, Wei, Ren, Bednar, David
Publikováno v:
In Applied Catalysis B: Environment and Energy March 2024 342
Publikováno v:
Electronic Transactions on Numerical Analysis 52, 2020
We develop block structure adapted primal-dual algorithms for non-convex non-smooth optimisation problems whose objectives can be written as compositions $G(x)+F(K(x))$ of non-smooth block-separable convex functions $G$ and $F$ with a non-linear Lips
Externí odkaz:
http://arxiv.org/abs/1911.06284
Akademický článek
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Autor:
Vasina, Michal, Kovar, David, Damborsky, Jiri, Ding, Yun, Yang, Tianjin, deMello, Andrew, Mazurenko, Stanislav, Stavrakis, Stavros, Prokop, Zbynek
Publikováno v:
In Biotechnology Advances September 2023 66
Publikováno v:
Appl Math Optim 84, 1239-1284 (2021)
We demonstrate that difficult non-convex non-smooth optimization problems, such as Nash equilibrium problems and anisotropic as well as isotropic Potts segmentation model, can be written in terms of generalized conjugates of convex functionals. These
Externí odkaz:
http://arxiv.org/abs/1901.02746
Akademický článek
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