Sotabase

Career

· Assistant Professor, University of Massachusetts Amherst2018–
· Postdoctoral Fellowship, Stanford University2015–2018
· Intern, Microsoft Research2014–2014
· Intern, Google2013–2013
· PhD in Machine Learning, Carnegie Mellon University2009–2015
· Erasmus Exchange Program, University of Amsterdam2009–
· Summer School Project, Dublin City University2008–2008
· Intern, Siemens VDO Automotive2007–2007
· Software Development and Maintenance, Alcatel-Lucent2006–2009
· Bachelors Degree in Computer and Software Engineering, Politehnica University of Timisoara2005–2009
· Assistant Professor, University of Massachusetts

Publications (72)

Deep Neural Decision Forests
IEEE International Conference on Computer Vision · 2015
546
cited
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.
Journal of Biomechanics · 2018
380
cited
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
Nature Communications · 2019
104
cited
Pedestrian Detection in Thermal Images Using Saliency Maps
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2019
93
cited
Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data*
Critical Care Medicine · 2016
68
cited
Trends and Focus of Machine Learning Applications for Health Research
JAMA Network Open · 2019
57
cited
Predicting in-hospital mortality by combining clinical notes with time-series data
Findings · 2021
54
cited
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information
Machine Learning in Health Care · 2017
26
cited
Alzheimer's Disease Brain MRI Classification: Challenges and Insights
arXiv.org · 2019
24
cited
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation
J. Am. Medical Informatics Assoc. · 2025
21
cited
Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences
bioRxiv · 2018
21
cited
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks
arXiv.org · 2019
18
cited
Cardiac Imaging of Aortic Valve Area From 34 287 UK Biobank Participants Reveals Novel Genetic Associations and Shared Genetic Comorbidity With Multiple Disease Phenotypes
Circulation Genomic and Precision Medicine · 2020
18
cited
Personalized Student Stress Prediction with Deep Multitask Network
arXiv.org · 2019
18
cited
Constrained Offline Policy Optimization
International Conference on Machine Learning · 2022
17
cited
Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease
JCI Insight · 2022
13
cited
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
arXiv.org · 2018
13
cited
Projection Retrieval for Classification
Neural Information Processing Systems · 2012
13
cited
A Change of Variables Method For Rectangular Matrix-Vector Products
International Conference on Artificial Intelligence and Statistics · 2021
12
cited
Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst
Digit. Gov. Res. Pract. · 2020
10
cited
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Madalina Fiterau | Researcher Profile | Sotabase | Sotabase