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1TrueSkill™ Ranking System: Details - Microsoft Research
http://research.microsoft.com/en-us/projects/trueskill/details.aspx
12 years ago by @becker
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1AAAI-12 Special Track on Artificial Intelligence and the Web
AAAI2012, Track: AI and the Web
12 years ago by @becker
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aaai2012review_relevant
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1Multiple physics pretraining for physical surrogate models
M. McCabe, B. Blancard, L. Parker, R. Ohana, M. Cranmer, A. Bietti, M. Eickenberg, S. Golkar, G. Krawezik, F. Lanusse and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)
27 days ago by @becker
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citedby:scholar:count:10
surrogate
citedby:scholar:timestamp:2024-4-26
physics
simulation
model
informed
citedby:scholar:count:10surrogatecitedby:scholar:timestamp:2024-4-26physicssimulationmodelinformed
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1Computational Approaches for Connecting Maternal Stress to Preterm Birth
A. Mirzaei, B. Hiller, I. Stelzer, K. Thiele, Y. Tan, and M. Becker. Clinics in Perinatology, (2024)
2 months ago by @becker
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myown
stress
pregnancy
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myownstresspregnancymachinelearningcomputational
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3The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
T. Saito, and M. Rehmsmeier. PloS one, 10 (3): e0118432 (2015)
3 months ago by @becker
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class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curve
citedby:scholar:count:3373
citedby:scholar:timestamp:2024-2-20
class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curvecitedby:scholar:count:3373citedby:scholar:timestamp:2024-2-20
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
3 months ago by @becker
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ien
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, and T. Beissbarth. Studies in health technology and informatics, (September 2019)
3 months ago by @becker
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neural
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informed
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1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment
M. Becker, K. Fehr, S. Goguen, K. Miliku, C. Field, B. Robertson, C. Yonemitsu, L. Bode, E. Simons, J. Marshall and 8 other author(s). Scientific Reports, 14 (1): 2977 (Feb 5, 2024)
4 months ago by @becker
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mother
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environment
circumference
multiomics
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head
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5CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
5 months ago by @becker
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hyptrails
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1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations
D. Degen, D. Caviedes Voullième, S. Buiter, H. Hendricks Franssen, H. Vereecken, A. González-Nicolás, and F. Wellmann. Geoscientific Model Development, 16 (24): 7375--7409 (2023)
5 months ago by @becker
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1Time series extrinsic regression: Predicting numeric values from time series data
C. Tan, C. Bergmeir, F. Petitjean, and G. Webb. Data Mining and Knowledge Discovery, (2021)
7 months ago by @becker
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citedby:scholar:timestamp:2023-11-4
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extrinsic
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1Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity
N. Ravindra, C. Espinosa, E. Berson, T. Phongpreecha, P. Zhao, M. Becker, A. Chang, S. Shome, I. Marić, D. De Francesco and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)
8 months ago by @becker
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sleep
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1Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection
C. Urbschat, K. Thiele, I. Stelzer, T. Zhang, Y. Zhao, T. Kehribar, M. Pagenkemper, G. Hansen, B. Gaudillière, A. Diemert and 1 other author(s). Journal of Reproductive Immunology, (2023)
8 months ago by @becker
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1Cross-species comparative analysis of single presynapses
E. Berson, C. Gajera, T. Phongpreecha, A. Perna, S. Bukhari, M. Becker, A. Chang, D. De Francesco, C. Espinosa, N. Ravindra and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)
8 months ago by @becker
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1Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
E. Berson, A. Sreenivas, T. Phongpreecha, A. Perna, F. Grandi, L. Xue, N. Ravindra, N. Payrovnaziri, S. Mataraso, Y. Kim and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)
8 months ago by @becker
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deconvolution
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1Prediction of multiple neuropathologic changes from features available during life
T. Phongpreecha, D. De Francesco, A. Chang, M. Thuraiappah, M. Becker, N. Ravindra, E. Berson, C. Espinosa, S. Mataraso, D. Godrich and 1 other author(s). Alzheimer's & Dementia, (2023)
10 months ago by @becker
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1Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
L. Oakden-Rayner, J. Dunnmon, G. Carneiro, and C. Ré. Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)
12 months ago by @becker
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citedby:scholar:count:243
citedby:scholar:timestamp:2023-5-31
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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)
12 months 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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myowncitedby:scholar:timestamp:2023-5-14citedby:scholar:count:4milkhumannutritioninfant
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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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artificial
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ai
citedby:scholar:count:15
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intelligence
ml
citedby:scholar:timestamp:2023-4-10
accountability
artificialresponsiblemachineaicitedby:scholar:count:15learningintelligencemlcitedby:scholar:timestamp:2023-4-10accountability
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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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citedby:scholar:count:203
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artificialneuralcitedby:scholar:timestamp:2023-4-9gnnaiexplainablecitedby:scholar:count:203networksgraphxaiintelligence
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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)
a year ago by @becker
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project:2023-tracking
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paper:fastcor
longitudinal
myownproject:2023-trackingdatahealthneonatalpaper:fastcorlongitudinal
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1TrueSkill™ Ranking System: Details - Microsoft Research

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

publications (hide)2298
display
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1Multiple physics pretraining for physical surrogate models

1Computational Approaches for Connecting Maternal Stress to Preterm Birth

3The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

1Feature-weighted elastic net: using "features of features" for better prediction

2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer

1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment

5CompTrails: comparing hypotheses across behavioral networks

1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations

1Time series extrinsic regression: Predicting numeric values from time series data

1Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

1Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection

1Cross-species comparative analysis of single presynapses

1Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature

1Prediction of multiple neuropathologic changes from features available during life

1Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

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

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