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Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, +1 more
0citations -
The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation2021 IEEE Transactions on Geoscience and Remote Sensing article Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey K. Dunne, +6 more
223citations -
Sharing Distributed and Heterogeneous Resources toward End-to-End 5G Networks: A Comprehensive Survey and a Taxonomy2020 IEEE Communications Surveys & Tutorials article Computer Science Software-Defined Networks and 5G Open access cited by 3 patents
Nina Slamnik–Kriještorac, Haris Kremo, Marco Ruffini, Johann M. Márquez-Barja
66citations -
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules2025 Journal of the American Medical Informatics Association article Computer Science Machine Learning in Healthcare Open access
Lincen Yang, Siri Lise van der Meijden, M. Sesmu Arbous, Matthijs van Leeuwen
1citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +19 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations