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Agnieszka Pocha

Showing results (1-10 of 4) with videos related to

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Molecules (Basel, Switzerland)|May 24, 2018
Substructural Connectivity Fingerprint and Extreme Entropy Machines-A New Method of Compound Representation and AnalysisKrzysztof Rataj, Wojciech Czarnecki, Sabina Podlewska, et al.
Journal of Cheminformatics|January 12, 2021
Mol-CycleGAN: a generative model for molecular optimizationŁukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, et al.
Computers in Biology and Medicine|November 8, 2020
The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purposeKrzysztof Misztal, Agnieszka Pocha, Martyna Durak-Kozica, et al.
Journal of Chemical Information and Modeling|September 1, 2020
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual ScreeningStanisław Jastrzębski, Maciej Szymczak, Agnieszka Pocha, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Molecules (Basel, Switzerland)|May 24, 2018
Substructural Connectivity Fingerprint and Extreme Entropy Machines-A New Method of Compound Representation and AnalysisKrzysztof Rataj, Wojciech Czarnecki, Sabina Podlewska, et al.
Journal of Cheminformatics|January 12, 2021
Mol-CycleGAN: a generative model for molecular optimizationŁukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, et al.
Computers in Biology and Medicine|November 8, 2020
The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purposeKrzysztof Misztal, Agnieszka Pocha, Martyna Durak-Kozica, et al.
Journal of Chemical Information and Modeling|September 1, 2020
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual ScreeningStanisław Jastrzębski, Maciej Szymczak, Agnieszka Pocha, et al.
Pageof 1