Search Results - "Kadioglu, Berkan"

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  1. 1

    Sample complexity of rank regression using pairwise comparisons by Kadıoğlu, Berkan, Tian, Peng, Dy, Jennifer, Erdoğmuş, Deniz, Ioannidis, Stratis

    Published in Pattern recognition (01-10-2022)
    “…•We propose an estimator for the parameters of a generalized linear parametric model, which encompasses classical preference models such as Bradley-Terry [13]…”
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    Journal Article
  2. 2

    An Empirical Study of Conv-Tasnet by Kadioglu, Berkan, Horgan, Michael, Liu, Xiaoyu, Pons, Jordi, Darcy, Dan, Kumar, Vivek

    “…Conv-TasNet is a recently proposed waveform-based deep neural network that achieves state-of-the-art performance in speech source separation. Its architecture…”
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    Conference Proceeding
  3. 3

    M-Estimation-Based Subspace Learning for Brain Computer Interfaces by Kadioglu, Berkan, Yildiz, Ilkay, Closas, Pau, Erdogmus, Deniz

    “…Many problems in signal processing, statistical learning, and data science can be posed as the problem of learning lower dimensional representation of the…”
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    Journal Article
  4. 4

    Robust Fusion of c-VEP and Gaze by Kadioglu, Berkan, Yildiz, Ilkay, Closas, Pau, Fried-Oken, Melanie B., Erdogmus, Deniz

    Published in IEEE sensors letters (01-01-2019)
    “…Brain-computer interfaces (BCIs) are one of the developing technologies, serving as a communication interface for people with neuromuscular disorders…”
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    Journal Article
  5. 5

    An Analysis of Algorithms with Discrete Choice Models by Kadioğlu, Berkan

    Published 01-01-2021
    “…In the first half of our work, we consider a rank regression setting, in which a dataset of N samples with features in Rd is ranked by an oracle via M pairwise…”
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    Dissertation
  6. 6

    On the Sample Complexity of Rank Regression from Pairwise Comparisons by Kadioglu, Berkan, Tian, Peng, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis

    Published 04-05-2021
    “…We consider a rank regression setting, in which a dataset of $N$ samples with features in $\mathbb{R}^d$ is ranked by an oracle via $M$ pairwise comparisons…”
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    Journal Article
  7. 7

    An empirical study of Conv-TasNet by Kadioglu, Berkan, Horgan, Michael, Liu, Xiaoyu, Pons, Jordi, Darcy, Dan, Kumar, Vivek

    Published 20-02-2020
    “…Conv-TasNet is a recently proposed waveform-based deep neural network that achieves state-of-the-art performance in speech source separation. Its architecture…”
    Get full text
    Journal Article