Alexandra Zytek

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	All	Since 2019
Citations	177	171
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Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Dongyu LiuAssistant Professor, University of California at DavisVerified email at ucdavis.edu
rhema VaithianathanVerified email at aut.ac.nz
Isaac LageHarvardVerified email at g.harvard.edu
Sean McGrathHarvard UniversityVerified email at hsph.harvard.edu
Laure Berti-EquilleResearch Director, IRD (French Institute of Research for Sustainable Development), ESPACE-DEVVerified email at ird.fr
Saswata PaulEngineer, GE AerospaceVerified email at ge.com
Carlos VarelaProfessor of Computer Science, Rensselaer Polytechnic InstituteVerified email at cs.rpi.edu
Furui ChengPostdoc, ETH ZürichVerified email at inf.ethz.ch
Himabindu LakkarajuAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
Wei-En WangMassachusetts Institute of TechnologyVerified email at mit.edu
Sofia KoukouraResearch Associate, University of StrathclydeVerified email at strath.ac.uk

Alexandra Zytek

PhD Student, Massachusetts Institute of Technology

Verified email at mit.edu - Homepage

Machine learning


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Wind-Aware Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies S Paul, F Hole, A Zytek, CA Varela 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-10, 2018	46	2018
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making A Zytek, D Liu, R Vaithianathan, K Veeramachaneni IEEE Transactions on Visualization and Computer Graphics 28 (1), 1161-1171, 2021	34	2021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models F Cheng, D Liu, F Du, Y Lin, A Zytek, H Li, H Qu, K Veeramachaneni IEEE Transactions on Visualization and Computer Graphics 28 (1), 378-388, 2021	33	2021
The Need for Interpretable Features: Motivation and Taxonomy A Zytek, I Arnaldo, D Liu, L Berti-Equille, K Veeramachaneni KDD Explorations, 2022	23	2022
MTV: Visual analytics for detecting, investigating, and annotating anomalies in multivariate time series D Liu, S Alnegheimish, A Zytek, K Veeramachaneni Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-30, 2022	19	2022
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making S McGrath, P Mehta, A Zytek, I Lage, H Lakkaraju arXiv preprint arXiv:2011.06167, 2020	17*	2020
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making A Zytek, D Liu, R Vaithianathan, K Veeramachaneni Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021	5	2021
Pyreal: A Framework for Interpretable ML Explanations A Zytek, WE Wang, D Liu, L Berti-Equille, K Veeramachaneni arXiv preprint arXiv:2312.13084, 2023		2023
Lessons from Usable ML Deployments Applied to Wind Turbine Monitoring A Zytek, WE Wang, S Koukoura, K Veeramachaneni XAI in Action: Past, Present, and Future Applications, 2023		2023
Towards usable machine learning A Zytek Massachusetts Institute of Technology, 2021		2021
Flight trajectory planning for fixed-wing aircraft in loss of thrust emergencies S Paul, F Hole, A Zytek, CA Varela Second International Conference on InfoSymbiotics / DDDAS (Dynamic Data …, 2017		2017

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