Calculated based on number of publications stored in Pure and citations from Scopus
20142024

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  • 2021

    Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study

    Ben David, D., Resheff, Y. S. & Tron, T., 21 Jul 2021, AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 390-400 11 p. (AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    13 Scopus citations
  • Privacy-Preserving Decision Trees Training and Prediction

    Akavia, A., Leibovich, M., Resheff, Y. S., Ron, R., Shahar, M. & Vald, M., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 145-161 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12457 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2020

    Paired-Consistency: An example-based model-agnostic approach to fairness regularization in machine learning

    Horesh, Y., Haas, N., Mishraky, E., Resheff, Y. S. & Meir Lador, S., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 590-604 15 p. (Communications in Computer and Information Science; vol. 1167 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    7 Scopus citations
  • 2019

    All together now! The Benefits of Adaptively Fusing Pre-trained Deep Representations

    Resheff, Y. S., Lieder, I. & Hope, T., 2019, ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 135-144 10 p. (ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Privacy and fairness in recommender systems via adversarial training of user representations

    Resheff, Y. S., Elazar, Y., Shahar, M. & Shalom, O. S., 2019, ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 476-482 7 p. (ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    8 Scopus citations
  • 2018

    ARIMA-based motor anomaly detection in schizophrenia inpatients

    Tron, T., Resheff, Y. S., Bazhmin, M., Weinshall, D. & Peled, A., 6 Apr 2018, 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018. Institute of Electrical and Electronics Engineers Inc., p. 430-433 4 p. (2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018; vol. 2018-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • A Statistical Approach to Inferring Business Locations Based on Purchase Behavior

    Resheff, Y. S. & Shahar, M., 2 Jul 2018, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Abe, N., Liu, H., Pu, C., Hu, X., Ahmed, N., Qiao, M., Song, Y., Kossmann, D., Liu, B., Lee, K., Tang, J., He, J. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2295-2303 9 p. 8622134. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Optimal linear imputation with a convergence guarantee

    Resheff, Y. S. & Weinshall, D., 2018, Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers. Fred, A., De Marsico, M. & di Baja, G. S. (eds.). Springer Verlag, p. 62-79 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10857 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Real-time schizophrenia monitoring using wearable motion sensitive devices

    Tron, T., Resheff, Y. S., Bazhmin, M., Peled, A. & Weinshall, D., 2018, Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings. Rahmani, A. M., TaheriNejad, N. & Perego, P. (eds.). Springer Verlag, p. 242-249 8 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 247).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • Topic models for automated motor analysis in schizophrenia patients

    Tron, T., Resheff, Y. S., Bazhmin, M., Peled, A., Grinsphoon, A. & Weinshall, D., 2 Apr 2018, 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. Institute of Electrical and Electronics Engineers Inc., p. 140-143 4 p. (2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018; vol. 2018-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Using near-surface observations for optimizing the timing of overhead image acquisition for applied mapping of woody vegetation species

    Weil, G., Lensky, I. M., Resheff, Y. S. & Levin, N., 31 Oct 2018, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5398-5401 4 p. 8517691. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2018-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2017

    Algorithms for telemetry data mining using discrete attributes

    Ofer, R. B., Eldar, A., Shalev, A. & Resheff, Y. S., 2017, ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. De Marsico, M. D., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 309-317 9 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • A wavelet-based approach to monitoring Parkinson's disease symptoms

    Wagner, A., Fixler, N. & Resheff, Y. S., 16 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5980-5984 5 p. 7953304. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    17 Scopus citations
  • Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss.

    Resheff, Y. S., Mandelbom, A. & Weinshall, D., 2017, Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications. PMLR, p. 141-151 11 p. (Proceedings of Machine Learning Research; vol. 74).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Optimized linear imputation

    Resheff, Y. S. & Weinshall, D., 2017, ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. De Marsico, M. D., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 17-25 9 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • 2016

    Online trajectory segmentation and summary with applications to visualization and retrieval

    Resheff, Y. S., 2016, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Ak, R., Karypis, G., Xia, Y., Hu, X. T., Yu, P. S., Joshi, J., Ungar, L., Liu, L., Sato, A.-H., Suzumura, T., Rachuri, S., Govindaraju, R. & Xu, W. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1832-1840 9 p. 7840801. (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    8 Scopus citations
  • 2015

    Matrix factorization approach to behavioral mode analysis from acceleration data

    Resheff, Y. S., Rotics, S., Nathan, R. & Weinshall, D., 2 Dec 2015, Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015. Pasi, G., Kwok, J., Zaiane, O., Gallinari, P., Gaussier, E. & Cao, L. (eds.). Institute of Electrical and Electronics Engineers Inc., 7344781. (Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
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