Dorit S. Hochbaum

Dorit S. Hochbaum is a professor of industrial engineering and operations research at the University of California, Berkeley. She is known for her work on approximation algorithms, particularly for facility location, covering and packing problems, and scheduling, and on flow and cut algorithms, Markov random fields, image segmentation and clustering. Provided by Wikipedia
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  1. 1
    Evaluating performance of image segmentation criteria and techniques

    Evaluating performance of image segmentation criteria and techniques by DoritS. Hochbaum, Cheng Lyu, Erik Bertelli

    Published 2013-05-01
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  2. 2
    Efficient algorithms to discover alterations with complementary functional association in cancer.

    Efficient algorithms to discover alterations with complementary functional association in cancer. by Rebecca Sarto Basso, Dorit S Hochbaum, Fabio Vandin

    Published 2019-05-01
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  3. 3
    Identifying Drug Sensitivity Subnetworks with NETPHIX

    Identifying Drug Sensitivity Subnetworks with NETPHIX by Yoo-Ah Kim, Rebecca Sarto Basso, Damian Wojtowicz, Amanda S. Liu, Dorit S. Hochbaum, Fabio Vandin, Teresa M. Przytycka

    Published 2020-10-01
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  4. 4
    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer by Yoo-Ah Kim, Damian Wojtowicz, Rebecca Sarto Basso, Itay Sason, Welles Robinson, Dorit S. Hochbaum, Mark D. M. Leiserson, Roded Sharan, Fabio Vadin, Teresa M. Przytycka

    Published 2020-05-01
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