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2020 – today
- 2024
[j7]Niccolò Marini
, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. 97: 103303 (2024)- [j6]Jieyi Li, Anwar Osseyran, Ruben Hekster, Stevan Rudinac, Valeriu Codreanu, Damian Podareanu:
Improving the speed and quality of cancer segmentation using lower resolution pathology images. Multim. Tools Appl. 83(4): 11999-12015 (2024) - [i8]Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller:
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR abs/2406.14351 (2024) - [i7]Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup:
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. CoRR abs/2409.08949 (2024) - 2023
- [j5]Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup:
Less is not more: We need rich datasets to explore. Future Gener. Comput. Syst. 142: 117-130 (2023) - 2022
- [j4]Elena Ranguelova, Christiaan Meijer, Leon C. Oostrum, Yang Liu, Patrick Bos, Giulia Crocioni, Matthieu Laneuville, Bryan Cardenas Guevara, Rena Bakhshi, Damian Podareanu:
DIANNA: Deep Insight And Neural Network Analysis. J. Open Source Softw. 7(80): 4493 (2022) - [j3]Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - 2021
- [j2]Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori:
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3: 684521 (2021) - [d2]Kristian Laursen, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu:
SURF Machine Metric Dataset [2019-12-29, 2020-08-07]. Zenodo, 2021
- [i6]Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup:
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report. CoRR abs/2107.11832 (2021) - [i5]Maxwell X. Cai, Simon Portegies Zwart, Damian Podareanu:
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem. CoRR abs/2111.15631 (2021) - 2020
- [j1]Alexandru Uta, Kristian Laursen, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu:
Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter. login Usenix Mag. 45(3) (2020) - [c3]Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore, Valeriu Codreanu, Damian Podareanu, Adel Chaibi, Penny X. Qian:
DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks. DLS@SC 2020: 56-62 - [d1]Kristian Laursen, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu:
Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter. Zenodo, 2020 - [i4]Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu, Maxwell X. Cai, Axel Berg, Simon Portegies Zwart, Robin Stoffer, Menno Veerman, Chiel van Heerwaarden, Sydney Otten, Sascha Caron, Cunliang Geng, Francesco Ambrosetti, Alexandre M. J. J. Bonvin:
Deep-learning enhancement of large scale numerical simulations. CoRR abs/2004.03454 (2020) - [i3]Menno A. Veerman, Robert Pincus, Robin Stoffer, Caspar van Leeuwen, Damian Podareanu, Chiel C. van Heerwaarden:
Predicting atmospheric optical properties for radiative transfer computations using neural networks. CoRR abs/2005.02265 (2020)
2010 – 2019
- 2019
- [c2]Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC 2019: 23-39 - [i2]Derya Çavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR abs/1905.04035 (2019) - 2018
- [c1]Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst:
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. ISC Workshops 2018: 487-503 - 2017
- [i1]Valeriu Codreanu, Damian Podareanu, Vikram A. Saletore:
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train. CoRR abs/1711.04291 (2017)
Coauthor Index
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last updated on 2024-10-15 00:23 CEST by the dblp team
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