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Publication search results
found 18 matches
- 2023
- Cuong Q. Nguyen, Dante Pertusi, Kim M. Branson:
Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation. CoRR abs/2305.09790 (2023) - Jacob Deasy, Ron Schwessinger, Ferran Gonzalez, Stephen Young, Kim M. Branson:
Generalising sequence models for epigenome predictions with tissue and assay embeddings. CoRR abs/2308.11671 (2023) - B. A. Schreiber, J. Denholm, F. Jaeckle, M. J. Arends, Kim M. Branson, Carola-Bibiane Schönlieb, E. J. Soilleux:
Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies. CoRR abs/2308.13304 (2023) - 2022
- Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CVPR 2022: 4825-4836 - Alexis Bellot, Kim Branson, Mihaela van der Schaar:
Neural graphical modelling in continuous-time: consistency guarantees and algorithms. ICLR 2022 - Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CoRR abs/2203.03079 (2022) - Emma Slade, Kim M. Branson:
Deep reinforced active learning for multi-class image classification. CoRR abs/2206.13391 (2022) - 2021
- Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW 2021: 664-673 - Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) 2021: 437-450 - Alexis Bellot, Kim Branson, Mihaela van der Schaar:
Consistency of mechanistic causal discovery in continuous-time using Neural ODEs. CoRR abs/2105.02522 (2021) - Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR abs/2108.10446 (2021) - Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. CoRR abs/2111.08243 (2021) - Meredith V. Trotter, Cuong Q. Nguyen, Stephen Young, Rob T. Woodruff, Kim M. Branson:
Epigenomic language models powered by Cerebras. CoRR abs/2112.07571 (2021) - 2020
- Cuong Q. Nguyen, Constantine Kreatsoulas, Kim M. Branson:
Meta-Learning Initializations for Low-Resource Drug Discovery. CoRR abs/2003.05996 (2020) - 2019
- Joshua Shinavier, Kim Branson, Wei Zhang, Shima Dastgheib, Yuqing Gao, Bogdan G. Arsintescu, Fatma Özcan, Edgar Meij:
Panel: Knowledge Graph Industry Applications. WWW (Companion Volume) 2019: 676 - 2014
- David L. Mobley, Shuai Liu, Nathan M. Lim, Karisa L. Wymer, Alexander L. Perryman, Stefano Forli, Nan-Jie Deng, Justin Su, Kim Branson, Arthur J. Olson:
Blind prediction of HIV integrase binding from the SAMPL4 challenge. J. Comput. Aided Mol. Des. 28(4): 327-345 (2014) - 2003
- Shoaib Burq, Stephen J. Melnikoff, Kim Branson, Rajkumar Buyya:
Visual Parameteric Modeler for Rapid Composition of Parameter-Sweep Applications for Processing on Global Grids. International Conference on Computational Science 2003: 739-749 - Shoaib Burq, Stephen J. Melnikoff, Kim Branson, Rajkumar Buyya:
Visual Environment for Rapid Composition of Parameter-Sweep Applications for Distributed Processing on Global Grids. CoRR cs.DC/0302008 (2003)
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