1. Zoltán Szabó
  2. ITE

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Publications

  • ...
  • Ievgen Redko, Younés Bennani. Non-negative Embedding for Fully Unsupervised Domain Adaptation. Pattern Recognition Letters, 2016. (PDF)
  • Yan Liu, Jack Y. B. Lee. An Empirical Study of Throughput Prediction in Mobile Data Networks. In IEEE Global Communications Conference (GLOBECOM), pages 1-6, 2015. (PDF)
  • Ruben Gepner, Mirna Mihovilovic Skanata, Natalie M Bernat, Margarita Kaplow, Marc Gershow. Computations underlying Drosophila photo-taxis, odor-taxis, and multi-sensory integration. eLife 2015;4:e06229. (PDF)
  • Mohammad A. Sedaghat, Ralf R. Müller. Multi-dimensional Continuous Phase Modulation in uplink of MIMO Systems. In European Signal Processing Conference (EUSIPCO), pages 2491–2495, Nice, France, 31 August - 4 September 2015. (PDF)
  • Ruitong Huang, András György, Szepesvári Csaba. Deterministic Independent Component Analysis. In International Conference on Machine Learning (ICML), pages 2521-2530, 2015. (PDF)
  • Navaneethakrishna Makaram, Ramakrishnan Swaminathan. A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals. Swarm, Evolutionary, and Memetic Computing, pages 480-489, 2015. (PDF)
  • Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry Wasserman, James M. Robins. Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations. In Neural Information Processing Systems (NIPS), Montréal, Canada, 7-12 December 2015. (PDF, supplement)
  • Shuyang Gao, Greg Ver Steeg, and Aram Galstyan. Efficient Estimation of Mutual Information for Strongly Dependent Variables. In International Conference on Artificial Intelligence and Statistics (AISTATS), pages 277–286, San Diego, California, USA, 9-12 May 2015. (PDF, supplement)
  • Mohammad A. Sedaghat, Ralf R. Müller. A novel modulation scheme for user devices equipped with a single-RF MIMO transmitter. In International ITG Workshop on Smart Antennas (WSA), pages 1-6, Ilmenau, Germany, March 3-5, 2015. (PDF).
  • Zoltán Szabó, Arthur Gretton, Barnabás Póczos, and Bharath K. Sriperumbudur. Two-stage Sampled Learning Theory on Distributions. In International Conference on Artificial Intelligence and Statistics (AISTATS), pages 948-957, San Diego, California, USA, 9-12 May 2015. (PDF, supplement)
  • Matt Barnes, Nick Gisolfi, Madalina Fiterau, and Artur Dubrawski. Leveraging common structure to improve prediction across related datasets. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. AAAI Press.
  • Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, and Bernhard Schölkopf. Distinguishing cause from effect using observational data: methods and benchmarks. Technical report, 2014. (PDF)
  • Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, and Arthur Gretton. Learning Theory for Distribution Regression. Technical report, Gatsby Unit, University College London, 2014. (PDF)
  • Yvonne Höller, Aljoscha Thomschewski, Jürgen Bergmann, Martin Kronbichler, Julia S. Crone, Elisabeth V. Schmid, Kevin Butz, Peter Höller, Raffaele Nardone, and Eugen Trinka. Connectivity biomarkers can differentiate patients with different levels of consciousness. Clinical Neurophysiology, 2013. (PDF)
  • Yvonne Höller, Jürgen Bergmann, Aljoscha Thomschewski, Martin Kronbichler, Peter Höller, Julia S. Crone, Elisabeth V. Schmid, Kevin Butz, Raffaele Nardone, and Eugen Trinka. Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness. PLOS One, 8(11):e80479, 2013. (PDF)
  • Mircea Stoica. Detecting the no-control state in self-paced Brain-Computer Interfaces. Master's thesis, University of Twente, 2012. (PDF)

Sample publication

  • Authors. Title. Journal, X(Y):A–B, C. (PDF)
  • Authors. Title. In Conference, pages A–B, C. (PDF)
  • Authors. Title. Technical report, A, B. (PDF)

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