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ORCIDElad Yom-Tov
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- affiliation: Microsoft Research, Herzeliya, Israel
- affiliation: Technion, Haifa, Israel
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2020 – today
- 2024
[j32]Damien Lekkas
, Elad Yom-Tov, Michael V. Heinz, Joseph A. Gyorda, Theresa Nguyen, Paul J. Barr, Nicholas C. Jacobson:
The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens. Comput. Hum. Behav. 157: 108267 (2024)- [j31]Aarzoo Dhiman, Elad Yom-Tov, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas A. House, Thomas Finnie, David Guzman, Vasileios Lampos, Rob Aldridge, Sarah Beale, Thomas Byrne, Jana Kovar, Isobel Braithwaite, Ellen Fragaszy, Wing Lam Erica Fong, Cyril Geismar, Susan Hoskins, Annalan Navaratnam, Vincent Nguyen, Parth Patel, Maddie Shrotri, Alexei Yavlinsky, Pia Hardelid, Linda Wijlaars, Eleni Nastouli, Moira Spyer, Anna Aryee, Rachel A. McKendry, Tao Cheng, Anne Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger, Ingemar J. Cox:
Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digit. Medicine 7(1) (2024) - [j30]Manuela Fritz, Michael Grimm, Ingmar Weber, Elad Yom-Tov, Benedictus Praditya:
Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users. npj Digit. Medicine 7(1) (2024) - [j29]Julie C. Lauffenburger, Elad Yom-Tov, Punam A. Keller, Marie E. McDonnell, Katherine L. Crum, Gauri Bhatkhande, Ellen S. Sears, Kaitlin Hanken, Lily G. Bessette, Constance P. Fontanet, Nancy Haff, Seanna Vine, Niteesh K. Choudhry:
The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. npj Digit. Medicine 7(1) (2024) - 2023
- [j28]Adam Reiter, Elad Yom-Tov, Irit Hochberg:
Do patients read emails from their physician containing tips on improving lifestyle habits? A pilot study. Int. J. Medical Informatics 170: 104967 (2023) - [c50]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - 2022
- [c49]Oded Ovadia, Oren Elisha, Elad Yom-Tov:
Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering. WWW (Companion Volume) 2022: 924-929 - [i23]Sivan Sabato, Eran Treister, Elad Yom-Tov:
Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification. CoRR abs/2206.03234 (2022) - 2021
- [j27]Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon:
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance. Inf. Retr. J. 24(3): 205-239 (2021) - [j26]Masha Krupenkin, Elad Yom-Tov, David Rothschild:
Vaccine advertising: preach to the converted or to the unaware? npj Digit. Medicine 4 (2021) - [j25]Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. npj Digit. Medicine 4 (2021) - [j24]David Carmel, Liane Lewin-Eytan, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich:
WSDM'21: The 14th ACM International Conference on Web Search and Data Mining. SIGWEB Newsl. 2021(Summer): 1:1-1:3 (2021) - [c48]Benjamin T. Kaveladze, George I. Kaveladze, Elad Yom-Tov, Stephen M. Schueller:
Building a Tool that Draws from the Collective Wisdom of the Internet to Help Users Respond Effectively to Anxiety-Related Questions. PervasiveHealth 2021: 15-27 - [e1]Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich:
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021. ACM 2021, ISBN 978-1-4503-8297-7 [contents] - [i22]Mor Peleg, Amnon Reichman, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelman, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, Roy Cohen:
COVID-19 Datathon Based on Deidentified Governmental Data as an Approach for Solving Policy Challenges, Increasing Trust, and Building a Community: Case Study. CoRR abs/2108.13068 (2021) - 2020
- [j23]Elad Yom-Tov:
Screening for Cancer Using a Learning Internet Advertising System. ACM Trans. Comput. Heal. 1(2): 10:1-10:13 (2020) - [j22]Nir Levy, Amir Rubin, Elad Yom-Tov:
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: an analysis of real-world data. Int. J. Data Sci. Anal. 10(4): 349-358 (2020) - [c47]Sivan Sabato, Elad Yom-Tov:
Bounding the fairness and accuracy of classifiers from population statistics. ICML 2020: 8316-8325 - [c46]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. WWW (Companion Volume) 2020: 552-556 - [c45]Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. WWW 2020: 1366-1377 - [i21]Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. CoRR abs/2003.08086 (2020) - [i20]Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein:
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries. CoRR abs/2007.11821 (2020)
2010 – 2019
- 2019
- [j21]Elad Yom-Tov:
Demographic differences in search engine use with implications for cohort selection. Inf. Retr. J. 22(6): 570-580 (2019) - [j20]Jing Dong, Elad Yom-Tov, Galit B. Yom-Tov:
The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times. Manag. Sci. 65(5): 1969-1994 (2019) - [i19]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses. CoRR abs/1906.08562 (2019) - [i18]Elad Yom-Tov, Nir Levy, Amir Rubin:
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: An analysis of real-world data. CoRR abs/1908.09902 (2019) - [i17]Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. CoRR abs/1910.12274 (2019) - 2018
- [j19]Elad Yom-Tov, Jinia Shembekar, Sarah Barclay, Peter Muennig:
The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants. npj Digit. Medicine 1 (2018) - [j18]Elad Yom-Tov, Jinia Shembekar, Sarah Barclay, Peter Muennig:
Author Correction: The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants. npj Digit. Medicine 1 (2018) - [c44]Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov:
Discriminative Learning of Prediction Intervals. AISTATS 2018: 347-355 - [c43]Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir:
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? CIKM 2018: 1539-1542 - [c42]Reut Apel, Elad Yom-Tov, Moshe Tennenholtz:
Characterizing Efficient Referrals in Social Networks. WWW (Companion Volume) 2018: 23-24 - [c41]Brit Youngmann, Elad Yom-Tov:
Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking. WWW 2018: 753-762 - [i16]Elad Yom-Tov:
Clinically verified pre-screening for cancer using web search queries: Initial results. CoRR abs/1802.09352 (2018) - [i15]Royi Ronen, Marian Radu, Corina Feuerstein, Elad Yom-Tov, Mansour Ahmadi:
Microsoft Malware Classification Challenge. CoRR abs/1802.10135 (2018) - [i14]Reut Apel, Elad Yom-Tov, Moshe Tennenholtz:
Characterizing Efficient Referrals in Social Networks. CoRR abs/1805.00252 (2018) - [i13]Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir:
Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient? CoRR abs/1805.01138 (2018) - [i12]Elad Yom-Tov:
Demographic differences in search engine use with implications for cohort selection. CoRR abs/1805.09139 (2018) - 2017
- [c40]Luca Soldaini, Elad Yom-Tov:
Inferring Individual Attributes from Search Engine Queries and Auxiliary Information. WWW 2017: 293-301 - [c39]Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov:
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. WWW (Companion Volume) 2017: 602-609 - [c38]Elad Yom-Tov, Shira H. Fischer:
The Werther Effect Revisited: Measuring the Effect of News Items on User Behavior. WWW (Companion Volume) 2017: 1561-1566 - [i11]Assaf Hallak, Yishay Mansour, Elad Yom-Tov:
Automatic Representation for Lifetime Value Recommender Systems. CoRR abs/1702.07125 (2017) - [i10]Nir Levy, Michael Iv, Elad Yom-Tov:
Modeling influenza-like illnesses through composite compartmental models. CoRR abs/1706.02280 (2017) - [i9]Eitan Giat, Elad Yom-Tov:
Evidence from web-based dietary search patterns to the role of B12 deficiency in chronic pain. CoRR abs/1708.02417 (2017) - [i8]Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov:
Discriminative Learning of Prediction Intervals. CoRR abs/1710.05888 (2017) - 2016
- [j17]Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, Nazli Goharian:
Enhancing web search in the medical domain via query clarification. Inf. Retr. J. 19(1-2): 149-173 (2016) - [c37]Luis Fernández-Luque, Fernando Martín-Sánchez, Ingmar Weber, Elad Yom-Tov, Carolyn Petersen:
Social Media Research in the Health Domain. AMIA 2016 - [c36]Royi Ronen, Elad Yom-Tov, Gal Lavee:
Recommendations meet web browsing: enhancing collaborative filtering using internet browsing logs. ICDE 2016: 1230-1238 - [c35]Ayelet Ben-Sasson, Dan Pelleg, Elad Yom-Tov:
The Quality of Online Answers to Parents Who Suspect That Their Child Has an Autism Spectrum Disorder. ICWSM 2016: 543-546 - [i7]Irit Hochberg, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Elad Yom-Tov:
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients. CoRR abs/1605.04070 (2016) - [i6]Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov:
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. CoRR abs/1610.07667 (2016) - [i5]Luca Soldaini, Elad Yom-Tov:
Inferring individual attributes from search engine queries and auxiliary information. CoRR abs/1610.08442 (2016) - [i4]Elad Yom-Tov:
Predicting drug recalls from Internet search engine queries. CoRR abs/1611.08848 (2016) - 2015
- [j16]Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J. Cox:
Assessing the impact of a health intervention via user-generated Internet content. Data Min. Knowl. Discov. 29(5): 1434-1457 (2015) - [c34]Shiri Dori-Hacohen, Elad Yom-Tov, James Allan:
Navigating Controversy as a Complex Search Task. SCST@ECIR 2015 - [c33]Elad Yom-Tov:
Ebola data from the Internet: An Opportunity for Syndromic Surveillance or a News Event? Digital Health 2015: 115-119 - [c32]Hani Neuvirth, Yehuda Finkelstein, Amit Hilbuch, Shai Nahum, Daniel Alon, Elad Yom-Tov:
Early Detection of Fraud Storms in the Cloud. ECML/PKDD (3) 2015: 53-67 - [c31]Maayan Gal-On Harel, Elad Yom-Tov:
Modularity-Based Query Clustering for Identifying Users Sharing a Common Condition. SIGIR 2015: 819-822 - [c30]Elad Yom-Tov, Ingemar Johansson Cox, Vasileios Lampos:
Learning About Health and Medicine from Internet Data. WSDM 2015: 417-418 - [i3]Dan Pelleg, Elad Yom-Tov, Evgeniy Gabrilovich:
On the Effect of Human-Computer Interfaces on Language Expression. CoRR abs/1505.00092 (2015) - 2014
- [b2]Mounia Lalmas, Heather O'Brien, Elad Yom-Tov:
Measuring User Engagement. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01161-0, pp. 1-132 - [j15]Dorit Baras, Amir Ronen, Elad Yom-Tov:
The effect of social affinity and predictive horizon on churn prediction using diffusion modeling. Soc. Netw. Anal. Min. 4(1): 232 (2014) - [c29]Elad Yom-Tov, Luis Fernández-Luque:
Information is in the eye of the beholder: Seeking information on the MMR vaccine through an Internet search engine. AMIA 2014 - [i2]Kirill Dyagilev, Elad Yom-Tov:
Evidence for echo chamber and disagreement effects in the political activity of Twitter users. CoRR abs/1403.7102 (2014) - 2013
- [j14]Ryen W. White, Elad Yom-Tov, Eric Horvitz, Eugene Agichtein, William R. Hersh:
Report on the SIGIR 2013 workshop on health search and discovery. SIGIR Forum 47(2): 101-108 (2013) - [j13]Kirill Dyagilev, Shie Mannor, Elad Yom-Tov:
On information propagation in mobile call networks. Soc. Netw. Anal. Min. 3(3): 521-541 (2013) - [j12]Elad Yom-Tov, Fernando Diaz:
The Effect of Social and Physical Detachment on Information Need. ACM Trans. Inf. Syst. 31(1): 4:1-4:19 (2013) - [c28]Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez:
Measuring inter-site engagement. IEEE BigData 2013: 228-236 - [c27]Janette Lehmann, Mounia Lalmas, Ricardo Baeza-Yates, Elad Yom-Tov:
Networked user engagement. UEO@CIKM 2013: 7-10 - [c26]Qi Guo, Fernando Diaz, Elad Yom-Tov:
Updating Users about Time Critical Events. ECIR 2013: 483-494 - [c25]Ryen W. White, Elad Yom-Tov, Eric Horvitz, Eugene Agichtein, William R. Hersh:
Workshop on health search and discovery: helping users and advancing medicine. SIGIR 2013: 1138 - 2012
- [j11]David Carmel, Haggai Roitman, Elad Yom-Tov:
On the Relationship between Novelty and Popularity of User-Generated Content. ACM Trans. Intell. Syst. Technol. 3(4): 69:1-69:19 (2012) - [c24]Dan Pelleg, Elad Yom-Tov, Yoelle Maarek:
Can You Believe an Anonymous Contributor? On Truthfulness in Yahoo! Answers. SocialCom/PASSAT 2012: 411-420 - [c23]Janette Lehmann, Mounia Lalmas, Elad Yom-Tov, Georges Dupret:
Models of User Engagement. UMAP 2012: 164-175 - [c22]Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann:
The effect of links on networked user engagement. WWW (Companion Volume) 2012: 641-642 - 2011
- [j10]Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon, Zbigniew Chamski, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Bilha Mendelson, Ayal Zaks, Eric Courtois, François Bodin, Phil Barnard, Elton Ashton, Edwin V. Bonilla, John Thomson, Christopher K. I. Williams, Michael F. P. O'Boyle:
Milepost GCC: Machine Learning Enabled Self-tuning Compiler. Int. J. Parallel Program. 39(3): 296-327 (2011) - [c21]Noam Slonim, Elad Yom-Tov, Koby Crammer:
Active Online Classification via Information Maximization. IJCAI 2011: 1498-1504 - [c20]Elad Yom-Tov, Fernando Diaz:
Out of sight, not out of mind: on the effect of social and physical detachment on information need. SIGIR 2011: 385-394 - [c19]Elad Yom-Tov, Fernando Diaz:
Location and timeliness of information sources during news events. SIGIR 2011: 1105-1106 - 2010
- [b1]David Carmel, Elad Yom-Tov:
Estimating the Query Difficulty for Information Retrieval. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2010, ISBN 978-3-031-01144-3 - [j9]David Carmel, Haggai Roitman, Elad Yom-Tov:
Social bookmark weighting for search and recommendation. VLDB J. 19(6): 761-775 (2010) - [c18]David Carmel, Haggai Roitman, Elad Yom-Tov:
On the relationship between novelty and popularity of user-generated content. CIKM 2010: 1509-1512 - [c17]Kirill Dyagilev, Shie Mannor, Elad Yom-Tov:
Generative models for rapid information propagation. SOMA@KDD 2010: 35-43 - [c16]Yossi Richter, Elad Yom-Tov, Noam Slonim:
Predicting Customer Churn in Mobile Networks through Analysis of Social Groups. SDM 2010: 732-741 - [c15]David Carmel, Elad Yom-Tov:
Estimating the query difficulty for information retrieval. SIGIR 2010: 911
2000 – 2009
- 2009
- [c14]David Carmel, Haggai Roitman, Elad Yom-Tov:
Who tags the tags?: a framework for bookmark weighting. CIKM 2009: 1577-1580 - [c13]Elad Yom-Tov, Noam Slonim:
Parallel Pairwise Clustering. SDM 2009: 745-755 - 2008
- [j8]Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov:
Better multiclass classification via a margin-optimized single binary problem. Pattern Recognit. Lett. 29(14): 1954-1959 (2008) - [j7]Haggai Roitman, David Carmel, Elad Yom-Tov:
Maintaining dynamic channel profiles on the web. Proc. VLDB Endow. 1(1): 151-162 (2008) - [j6]Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv:
A probabilistic alternative to regression suites. Theor. Comput. Sci. 404(3): 219-234 (2008) - [c12]David Carmel, Elad Yom-Tov, Haggai Roitman:
Enhancing digital libraries using missing content analysis. JCDL 2008: 1-10 - [c11]Elad Yom-Tov, Rachel Tzoref, Shmuel Ur, Shlomo Hoory:
Automatic Debugging of Concurrent Programs through Active Sampling of Low Dimensional Random Projections. ASE 2008: 307-316 - [i1]Danny Bickson, Elad Yom-Tov, Danny Dolev:
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines. CoRR abs/0810.1648 (2008) - 2007
- [c10]Rachel Tzoref, Shmuel Ur, Elad Yom-Tov:
Instrumenting where it hurts: an automatic concurrent debugging technique. ISSTA 2007: 27-38 - [c9]Elad Yom-Tov, Yariv Aridor:
A Self-optimized Job Scheduler for Heterogeneous Server Clusters. JSSPP 2007: 169-187 - [c8]Einat Amitay, Sivan Yogev, Elad Yom-Tov:
Serial Sharers: Detecting Split Identities of Web Authors. PAN 2007 - 2006
- [c7]Elad Yom-Tov, Yariv Aridor:
Improving Resource Matching Through Estimation of Actual Job Requirements. HPDC 2006: 367-368 - [c6]Shmuel Ur, Elad Yom-Tov, Paul Wernick:
An Open Source Simulation Model of Software Development and Testing. Haifa Verification Conference 2006: 124-137 - [c5]David Carmel, Elad Yom-Tov, Adam Darlow, Dan Pelleg:
What makes a query difficult? SIGIR 2006: 390-397 - 2005
- [j5]I. Makienko, Elad Yom-Tov, Gideon F. Inbar:
On the effects of adaptation to changing loads on movement-related EEG potentials. Biol. Cybern. 93(3): 171-177 (2005) - [j4]David Carmel, Elad Yom-Tov, Ian Soboroff:
SIGIR workshop report: predicting query difficulty - methods and applications. SIGIR Forum 39(2): 25-28 (2005) - [c4]Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow:
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval. SIGIR 2005: 512-519 - [c3]Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine:
Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks. TREC 2005 - 2004
- [c2]Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay:
Juru at TREC 2004: Experiments with Prediction of Query Difficulty. TREC 2004 - 2003
- [c1]Elad Yom-Tov:
An Introduction to Pattern Classification. Advanced Lectures on Machine Learning 2003: 1-20 - 2001
- [j3]Elad Yom-Tov, A. Grossman, Gideon F. Inbar:
Movement-related potentials during the performance of a motor task II: Cerebral areas activated during learning of the task. Biol. Cybern. 85(5): 387-394 (2001) - [j2]Elad Yom-Tov, A. Grossman, Gideon F. Inbar:
Movement-related potentials during the performance of a motor task I: The effect of learning and force. Biol. Cybern. 85(5): 395-399 (2001)
1990 – 1999
- 1999
- [j1]Elad Yom-Tov, S. Yom-Tov, Hanoch Ur:
A model of induced coupled movements in the human body: a case study. Biol. Cybern. 80(6): 411-416 (1999)
Coauthor Index
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