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1TrueSkill™ Ranking System: Details - Microsoft Research
http://research.microsoft.com/en-us/projects/trueskill/details.aspx
13 years ago by @becker
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1AAAI-12 Special Track on Artificial Intelligence and the Web
AAAI2012, Track: AI and the Web
13 years ago by @becker
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1Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries
C. Espinosa, W. Khan, R. Khanam, S. Das, J. Khalid, J. Pervin, M. Kasaro, K. Contrepois, A. Chang, T. Phongpreecha and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)
a year ago by @becker
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1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4
S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky and 1 other author(s). The American Journal of Clinical Nutrition, (2023)
a year ago by @becker
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2Machine learning techniques for accountability
B. Kim, and F. Doshi-Velez. AI Magazine, 42 (1): 47--52 (2021)
a year ago by @becker
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1Explainability in graph neural networks: A taxonomic survey
H. Yuan, H. Yu, S. Gui, and S. Ji. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2022)
a year ago by @becker
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1Data-driven longitudinal characterization of neonatal health and morbidity
D. Francesco, J. Reiss, J. Roger, A. Tang, A. Chang, M. Becker, T. Phongpreecha, C. Espinosa, S. Morin, E. Berson and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)
2 years ago by @becker
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1Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning
M. Becker, J. Dai, A. Chang, D. Feyaerts, I. Stelzer, M. Zhang, E. Berson, G. Saarunya, D. De Francesco, C. Espinosa and 1 other author(s). Frontiers in Pediatrics, (2022)
2 years ago by @becker
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1Machine Learning Techniques
J. Choi, N. Aghaeepour, and M. Becker. page 147--164. Springer International Publishing, Cham, (2022)
2 years ago by @becker
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1Early prediction and longitudinal modeling of preeclampsia from multiomics
I. Marić, K. Contrepois, M. Moufarrej, I. Stelzer, D. Feyaerts, X. Han, A. Tang, N. Stanley, R. Wong, G. Traber and 1 other author(s). Patterns, 3 (12): 100655 (2022)
2 years ago by @becker
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1In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network
R. Fallahzadeh, N. Bidoki, I. Stelzer, M. Becker, I. Marić, A. Chang, A. Culos, T. Phongpreecha, M. Xenochristou, D. De Francesco and 1 other author(s). Cytometry Part A, (2022)
2 years ago by @becker
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1Shorter maternal leukocyte telomere length following cesarean birth: Implications for future research
D. Panelli, J. Mayo, R. Wong, M. Becker, I. Maric, E. Wu, I. Gotlib, N. Aghaeepour, M. Druzin, D. Stevenson and 1 other author(s). American Journal of Obstetrics & Gynecology, 228 (1): S456--S457 (2023)
2 years ago by @becker
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3Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P. Villalobos, J. Sevilla, L. Heim, T. Besiroglu, M. Hobbhahn, and A. Ho. arXiv preprint arXiv:2211.04325, (2022)
2 years ago by @becker
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2Image segmentation using deep learning: A survey
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, and D. Terzopoulos. IEEE transactions on pattern analysis and machine intelligence, (2021)
2 years ago by @becker
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3Subgroup generalization and fairness of graph neural networks
J. Ma, J. Deng, and Q. Mei. Advances in Neural Information Processing Systems, (2021)
2 years ago by @becker
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2The Deskilling of Domain Expertise in AI Development
N. Sambasivan, and R. Veeraraghavan. CHI Conference on Human Factors in Computing Systems, page 1--14. (2022)
2 years ago by @becker
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1CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images
M. Lee, J. Bedia, S. Bhate, G. Barlow, D. Phillips, W. Fantl, G. Nolan, and C. Schürch. BMC bioinformatics, 23 (1): 1--17 (2022)
2 years ago by @becker
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2Why do tree-based models still outperform deep learning on typical tabular data?
L. Grinsztajn, E. Oyallon, and G. Varoquaux. Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, (2022)
2 years ago by @becker
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1Interpretable machine learning prediction of all-cause mortality
W. Qiu, H. Chen, A. Dincer, S. Lundberg, M. Kaeberlein, and S. Lee. medRxiv, (2022)
2 years ago by @becker
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2A gesture system for graph visualization in virtual reality environments
Y. Huang, T. Fujiwara, Y. Lin, W. Lin, and K. Ma. 2017 ieee pacific visualization symposium (pacificvis), page 41--45. IEEE, (2017)
2 years ago by @becker
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1Predicting cell populations in single cell mass cytometry data
T. Abdelaal, V. van Unen, T. Höllt, F. Koning, M. Reinders, and A. Mahfouz. Cytometry Part A, 95 (7): 769--781 (2019)
2 years ago by @becker
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1Graph representation learning in biomedicine and healthcare
M. Li, K. Huang, and M. Zitnik. Nature Biomedical Engineering, (2022)
2 years ago by @becker
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1TrueSkill™ Ranking System: Details - Microsoft Research

1AAAI-12 Special Track on Artificial Intelligence and the Web

publications (hide)2303
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1Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries

1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4

2Machine learning techniques for accountability

1Explainability in graph neural networks: A taxonomic survey

1Data-driven longitudinal characterization of neonatal health and morbidity

1Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

1Machine Learning Techniques

1Early prediction and longitudinal modeling of preeclampsia from multiomics

1In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network

1Shorter maternal leukocyte telomere length following cesarean birth: Implications for future research

3Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

2Image segmentation using deep learning: A survey

3Subgroup generalization and fairness of graph neural networks

2The Deskilling of Domain Expertise in AI Development

1CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

2Why do tree-based models still outperform deep learning on typical tabular data?

1Interpretable machine learning prediction of all-cause mortality

2A gesture system for graph visualization in virtual reality environments

1Predicting cell populations in single cell mass cytometry data

1Graph representation learning in biomedicine and healthcare

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