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pro vyhledávání: '"Srikishan, Bharat"'
Deep learning architectures have achieved state-of-the-art (SOTA) performance on computer vision tasks such as object detection and image segmentation. This may be attributed to the use of over-parameterized, monolithic deep learning architectures ex
Externí odkaz:
http://arxiv.org/abs/2402.11760
Autor:
Srikishan, Bharat, Kleinberg, Samantha
Using observational data to learn causal relationships is essential when randomized experiments are not possible, such as in healthcare. Discovering causal relationships in time-series health data is even more challenging when relationships change ov
Externí odkaz:
http://arxiv.org/abs/2305.03662
Autor:
Mirtchouk M; Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA., Srikishan B; Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA., Kleinberg S; Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA.
Publikováno v:
Proceedings of machine learning research [Proc Mach Learn Res] 2021 Aug; Vol. 149, pp. 440-460.
Autor:
Feller DJ; Columbia University, New York, NY, USA., Zucker J; Columbia University, New York, NY, USA., Don't Walk OB 4th; Columbia University, New York, NY, USA., Srikishan B; Columbia University, New York, NY, USA., Martinez R; Columbia University, New York, NY, USA., Evans H; Columbia University, New York, NY, USA., Yin MT; Columbia University, New York, NY, USA., Gordon P; Columbia University, New York, NY, USA., Elhadad N; Columbia University, New York, NY, USA.
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2018 Dec 05; Vol. 2018, pp. 422-429. Date of Electronic Publication: 2018 Dec 05 (Print Publication: 2018).