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Yossi Matias

Professor

1988 …2023

Research activity per year

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  • 2023

    Caravan - A global community dataset for large-sample hydrology

    Kratzert, F., Nearing, G., Addor, N., Erickson, T., Gauch, M., Gilon, O., Gudmundsson, L., Hassidim, A., Klotz, D., Nevo, S., Shalev, G. & Matias, Y., Dec 2023, In: Scientific data. 10, 1, 61.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • 2022

    Adversarially Robust Streaming Algorithms via Differential Privacy

    Hassidim, A., Kaplan, H., Mansour, Y., Matias, Y. & Stemmer, U., 24 Nov 2022, In: Journal of the ACM. 69, 6, 42.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy

    Golany, T., Aides, A., Freedman, D., Rabani, N., Liu, Y., Rivlin, E., Corrado, G. S., Matias, Y., Khoury, W., Kashtan, H. & Reissman, P., Dec 2022, In: Surgical Endoscopy and Other Interventional Techniques. 36, 12, p. 9215-9223 9 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • DIFFERENTIALLY PRIVATE LEARNING OF GEOMETRIC CONCEPTS

    Kaplan, H., Mansour, Y., Matias, Y. & Stemmer, U., 2022, In: SIAM Journal on Optimization. 32, 3, p. 952-974 23 p.

    Research output: Contribution to journal › Article › peer-review

  • Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons

    David, L., Hassidim, A., Matias, Y., Yung, M. & Ziv, A., 2022, (Accepted/In press) In: IEEE Transactions on Information Forensics and Security. p. 1 1 p.

    Research output: Contribution to journal › Article › peer-review

  • Flood forecasting with machine learning models in an operational framework

    Nevo, S., Morin, E., Gerzi Rosenthal, A., Metzger, A., Barshai, C., Weitzner, D., Voloshin, D., Kratzert, F., Elidan, G., Dror, G., Begelman, G., Nearing, G., Shalev, G., Noga, H., Shavitt, I., Yuklea, L., Royz, M., Giladi, N., Peled Levi, N., Reich, O., & 11 othersGilon, O., Maor, R., Timnat, S., Shechter, T., Anisimov, V., Gigi, Y., Levin, Y., Moshe, Z., Ben-Haim, Z., Hassidim, A. & Matias, Y., 5 Aug 2022, In: Hydrology and Earth System Sciences. 26, 15, p. 4013-4032 20 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic

    David, L., Hassidim, A., Matias, Y. & Yung, M., 2022, Computer Security – ESORICS 2022 - 27th European Symposium on Research in Computer Security, Proceedings. Atluri, V., Di Pietro, R., Jensen, C. D. & Meng, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 237-255 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13554 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Shared computational principles for language processing in humans and deep language models

    Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., Jansen, A., Gazula, H., Choe, G., Rao, A., Kim, C., Casto, C., Fanda, L., Doyle, W., Friedman, D., Dugan, P., & 12 othersMelloni, L., Reichart, R., Devore, S., Flinker, A., Hasenfratz, L., Levy, O., Hassidim, A., Brenner, M., Matias, Y., Norman, K. A., Devinsky, O. & Hasson, U., Mar 2022, In: Nature Neuroscience. 25, 3, p. 369-380 12 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • TRUE: Re-evaluating Factual Consistency Evaluation

    Honovich, O., Aharoni, R., Herzig, J., Taitelbaum, H., Cohen, V., Kukliansky, D., Scialom, T., Szpektor, I., Hassidim, A. & Matias, Y., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3905-3920 16 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2021

    Adversarial Robustness of Streaming Algorithms through Importance Sampling

    Braverman, V., Hassidim, A., Matias, Y., Schain, M., Silwal, S. & Zhou, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3544-3557 14 p. (Advances in Neural Information Processing Systems; vol. 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Detection of elusive polyps using a large-scale artificial intelligence system (with videos)

    Livovsky, D. M., Veikherman, D., Golany, T., Aides, A., Dashinsky, V., Rabani, N., Ben Shimol, D., Blau, Y., Katzir, L., Shimshoni, I., Liu, Y., Segol, O., Goldin, E., Corrado, G., Lachter, J., Matias, Y., Rivlin, E. & Freedman, D., Dec 2021, In: Gastrointestinal Endoscopy. 94, 6, p. 1099-1109.e10

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Learning and Evaluating a Differentially Private Pre-trained Language Model

    Hoory, S., Feder, A., Tendler, A., Cohen, A., Erell, S., Laish, I., Nakhost, H., Stemmer, U., Benjamini, A., Hassidim, A. & Matias, Y., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M-F., Huang, X., Specia, L. & Yih, S. W-T. (eds.). Association for Computational Linguistics (ACL), p. 1178-1189 12 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling

    Giladi, N., Ben-Haim, Z., Nevo, S., Matias, Y. & Soudry, D., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 1378-1389 12 p. (Advances in Neural Information Processing Systems; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2020

    Active deep learning to detect demographic traits in free-form clinical notes

    Feder, A., Vainstein, D., Rosenfeld, R., Hartman, T., Hassidim, A. & Matias, Y., Jul 2020, In: Journal of Biomedical Informatics. 107, 6 p., 103436.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Adversarially robust streaming algorithms via differential privacy

    Hassidim, A., Kaplan, H., Mansour, Y., Matias, Y. & Stemmer, U., 2020, In: Advances in Neural Information Processing Systems. 2020-December

    Research output: Contribution to journal › Conference article › peer-review

  • Customization scenarios for de-identification of clinical notes

    Hartman, T., Howell, M. D., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O., Vainstein, D., Corrado, G., Chou, K., Po, M. J., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I. & Matias, Y., 30 Jan 2020, In: BMC Medical Informatics and Decision Making. 20, 1, 14.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Detecting Deficient Coverage in Colonoscopies

    Freedman, D., Blau, Y., Katzir, L., Aides, A., Shimshoni, I., Veikherman, D., Golany, T., Gordon, A., Corrado, G., Matias, Y. & Rivlin, E., 1 Nov 2020, In: IEEE Transactions on Medical Imaging. 39, 11, p. 3451-3462 12 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Dynamic Composition for Conversational Domain Exploration

    Szpektor, I., Cohen, D., Elidan, G., Fink, M., Hassidim, A., Keller, O., Kulkarni, S., Ofek, E., Pudinsky, S., Revach, A., Salant, S. & Matias, Y., 20 Apr 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 872-883 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Spectral algorithm for shared low-rank matrix regressions

    Gigi, Y., Nevo, S., Elidan, G., Hassidim, A., Matias, Y. & Wiesel, A., Jun 2020, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020. IEEE Computer Society, 9104279. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; vol. 2020-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2019

    Audio de-identification: A new entity recognition task

    Cohn, I., Laish, I., Beryozkin, G., Li, G., Shafran, I., Szpektor, I., Hartman, T., Hassidim, A. & Matias, Y., 2019, Industry Papers. Association for Computational Linguistics (ACL), p. 197-204 8 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Personalizing ASR for dysarthric and accented speech with limited data

    Shor, J., Emanuel, D., Lang, O., Tuval, O., Brenner, M., Cattiau, J., Vieira, F., McNally, M., Charbonneau, T., Nollstadt, M., Hassidim, A. & Matias, Y., 2019, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2019-September, p. 784-788 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Self-similar epochs: Value in arrangement

    Buchnik, E., Cohen, E., Hassidim, A. & Matias, Y., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 1361-1373 13 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2015

    How to make personalized web browsing simple, secure, and anonymous

    Gabber, E., Gibbons, P. B., Matias, Y. & Mayer, A., 2015, Financial Cryptography - 1st International Conference, FC 1997, Proceedings. Hirschfeld, R. (ed.). Springer Verlag, p. 17-31 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1318).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2012

    Contextual OTP: Mitigating emerging man-in-the-middle attacks with wireless hardware tokens

    Ben-David, A., Berkman, O., Matias, Y., Patel, S., Paya, C. & Yung, M., 2012, Applied Cryptography and Network Security - 10th International Conference, ACNS 2012, Proceedings. p. 30-47 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7341 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Norovirus disease surveillance using google internet query share data

    Desai, R., Hall, A. J., Lopman, B. A., Shimshoni, Y., Rennick, M., Efron, N., Matias, Y., Patel, M. M. & Parashar, U. D., 15 Oct 2012, In: Clinical Infectious Diseases. 55, 8, p. e75-e78

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • 2011

    Mind the (Gender) gap: Can a two-hour visit to a hi-tech company change perceptions about computer science?

    Eidelman, L., Hazzan, O., Lapidot, T., Matias, Y., Raijman, D. & Segalov, M., Aug 2011, ACM Inroads, 2, 3, p. 64-70 7 p.

    Research output: Contribution to specialist publication › Article

  • Suggesting (more) friends using the implicit social graph

    Roth, M., Barenholz, T., Ben-David, A., Deutscher, D., Flysher, G., Hassidim, A., Horn, I., Leichtberg, A., Leiser, N., Matias, Y. & Merom, R., 2011, Proceedings of the 28th International Conference on Machine Learning, ICML 2011. p. lxvii-lxxiv (Proceedings of the 28th International Conference on Machine Learning, ICML 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2010

    Suggesting friends using the implicit social graph

    Roth, M., Ben-David, A., Deutscher, D., Flysher, G., Horn, I., Leichtberg, A., Leiser, N., Matias, Y. & Merom, R., 2010, KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. p. 233-241 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2009

    Google's auction for TV ads

    Nisan, N., Bayer, J., Chandra, D., Franji, T., Gardner, R., Matias, Y., Rhodes, N., Seltzer, M., Tom, D., Varian, H. & Zigmond, D., 2009, Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings. PART 2 ed. p. 309-327 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5556 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2007

    Calibration and profile based synopses error estimation and synopses reconciliation

    Matia, Y. & Matias, Y., 2007, 23rd International Conference on Data Engineering, ICDE 2007. IEEE Computer Society, p. 446-455 10 p. 4221693. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Efficient pebbling for list traversal synopses with application to program rollback

    Matias, Y. & Porat, E., 15 Jun 2007, In: Theoretical Computer Science. 379, 3, p. 418-436 19 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Optimal workload-based weighted wavelet synopses

    Matias, Y. & Urieli, D., 1 Mar 2007, In: Theoretical Computer Science. 371, 3, p. 227-246 20 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • 2006

    Efficient bundle sorting

    Matias, Y., Segal, E. & Vitter, J. S., 2006, In: SIAM Journal on Computing. 36, 2, p. 394-410 17 p.

    Research output: Contribution to journal › Article › peer-review

  • Inner-product based wavelet synopses for range-sum queries

    Matias, Y. & Urieli, D., 2006, Algorithms, ESA 2006 - 14th Annual European Symposium, Proceedings. Springer Verlag, p. 504-515 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4168 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • LTS: The list-traversal synopses system

    Furman, M., Matias, Y. & Porat, E., 2006, Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. Springer Verlag, p. 353-354 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4032 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Synopses reconciliation via calibration in the τ-synopses system

    Matia, Y., Matias, Y. & Portman, L., 2006, Advances in Database Technology - EDBT 2006 - 10th International Conference on Extending Database Technology, Proceedings. p. 1139-1142 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3896 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • The design and architecture of the τ-synopses system

    Matias, Y., Portman, L. & Drukh, N., 2006, Advances in Database Technology - EDBT 2006 - 10th International Conference on Extending Database Technology, Proceedings. p. 1088-1091 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3896 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Trends in high performance analytics

    Matias, Y., 2006, SIGMOD 2006 - Proceedings of the ACM SIGMOD International Conference on Management of Data. p. 720 1 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • τ-xSynopses - A system for run-time management of XML synopses

    Drukh, N., Matia, Y., Matias, Y. & Portman, L., 2006, Next Generation Information Technologies and Systems - 6th International Conference, NGITS 2006, Proceedings. Springer Verlag, p. 351-352 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4032 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2005

    Data streams and data synopses for massive data sets

    Matias, Y., 2005, Machine Learning - ECML 2005: 16th European Conference on Machine Learning, Proceedings. Springer Verlag, p. 8-9 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3720 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Delayed-dictionary compression for packet networks

    Matias, Y. & Refua, R., 2005, Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Makki, K. & Knightly, E. (eds.). p. 1443-1454 12 p. (Proceedings - IEEE INFOCOM; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Optimal workload-based weighted wavelet synopses

    Matias, Y. & Urieli, D., 2005, Database Theory - ICDT 2005 - 10th International Conference, Proceedings. p. 368-382 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3363 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2004

    Adaptive Probing and Communication in Sensor Networks

    Ragoler, I., Matias, Y. & Aviram, N., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Nikolaidis, I., Barbeau, M. & Kranakis, E. (eds.). Springer Verlag, p. 280-293 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3158).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Fractional XSKETCH synopses for XML databases

    Drukh, N., Polyzotis, N., Garofalakis, M. & Matias, Y., 2004, In: Lecture Notes in Computer Science. 3186, p. 189-203 15 p.

    Research output: Contribution to journal › Article › peer-review

  • τ - Synopses: A system for run-time management of remote synopses

    Matias, Y. & Portman, L., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bertino, E., Christodoulakis, S., Koubarakis, M., Plexousakis, D., Christophides, V., Bohm, K. & Ferrari, E. (eds.). Springer Verlag, p. 865-867 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2992).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • τ-Synopses: A system for run-time management of remote synopses

    Matias, Y. & Portman, L., 2004, p. 864. 1 p.

    Research output: Contribution to conference › Paper › peer-review

  • 2003

    Dynamic generation of discrete random variates

    Matias, Y., Vitter, J. S. & Ni, W. C., 2003, In: Theory of Computing Systems. 36, 4, p. 329-358 30 p.

    Research output: Contribution to journal › Article › peer-review

  • Efficient pebbling for list traversal synopses

    Matias, Y. & Porat, E., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Baeten, J. C. M., Lenstra, J. K., Parrow, J. & Woeginger, G. J. (eds.). Springer Verlag, p. 918-928 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2719).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Spectral Bloom Filters

    Cohen, S. & Matias, Y., 2003, In: Proceedings of the ACM SIGMOD International Conference on Management of Data. p. 241-252 12 p.

    Research output: Contribution to journal › Conference article › peer-review

  • 2002

    Fast incremental maintenance of approximate histograms

    Gibbons, P. B., Matias, Y. & Poosala, V., Sep 2002, In: ACM Transactions on Database Systems. 27, 3, p. 261-298 38 p.

    Research output: Contribution to journal › Article › peer-review