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Michael Moor
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2020 – today
- 2024
- [i15]Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver O. Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger:
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR abs/2405.07896 (2024) - [i14]Samuel Schmidgall, Rojin Ziaei, Carl Harris, Eduardo Pontes Reis, Jeffrey Jopling, Michael Moor:
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments. CoRR abs/2405.07960 (2024) - [i13]Jialiang Xu, Michael Moor, Jure Leskovec:
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. CoRR abs/2405.18740 (2024) - 2023
- [c9]Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor:
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. EMNLP (Findings) 2023: 14676-14688 - [c8]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar:
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS 2023: 353-367 - [c7]Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. NeurIPS 2023 - [i12]Hamed Nilforoshan, Michael Moor
, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. CoRR abs/2301.12292 (2023) - [i11]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec:
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR abs/2307.15189 (2023) - [i10]Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor:
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. CoRR abs/2310.17811 (2023) - 2022
- [b1]Michael Moor:
Machine Learning on Clinical Time Series: Classification and Representation Learning. ETH Zurich, Zürich, Switzerland, 2022 - [c6]Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck
Topological Graph Neural Networks. ICLR 2022 - 2021
- [j2]Felix Hensel, Michael Moor
A Survey of Topological Machine Learning Methods. Frontiers Artif. Intell. 4: 681108 (2021) - [p1]Christian Bock, Michael Moor
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning. Artificial Neural Networks, 3rd Edition 2021: 33-71 - [i9]Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt:
Topological Graph Neural Networks. CoRR abs/2102.07835 (2021) - [i8]Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt:
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. CoRR abs/2107.05230 (2021) - 2020
- [c5]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020: 1-11 - [c4]Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt:
Set Functions for Time Series. ICML 2020: 4353-4363 - [c3]Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt:
Topological Autoencoders. ICML 2020: 7045-7054 - [i7]Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck
Path Imputation Strategies for Signature Models. CoRR abs/2005.12359 (2020) - [i6]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR abs/2007.01083 (2020)
2010 – 2019
- 2019
- [c2]Bastian Rieck
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) 2019 - [c1]Michael Moor, Max Horn
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC 2019: 2-26 - [i5]Michael Moor, Max Horn, Bastian Rieck
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. CoRR abs/1902.01659 (2019) - [i4]Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR abs/1904.07990 (2019) - [i3]Michael Moor, Max Horn, Bastian Rieck
Topological Autoencoders. CoRR abs/1906.00722 (2019) - [i2]Max Horn, Michael Moor, Christian Bock, Bastian Rieck
Set Functions for Time Series. CoRR abs/1909.12064 (2019) - 2018
- [j1]Christian Bock
Association mapping in biomedical time series via statistically significant shapelet mining. Bioinform. 34(13): i438-i446 (2018) - [i1]Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR abs/1812.09764 (2018)
Coauthor Index
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