default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYuval Shahar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j66]Osnat Mokryn
, Alex Abbey, Yanir Marmor, Yuval Shahar:
Evaluating the dynamic interplay of social distancing policies regarding airborne pathogens through a temporal interaction-driven model that uses real-world and synthetic data. J. Biomed. Informatics 151: 104601 (2024)- [j65]Erez Shalom, Ayelet Goldstein, Rony Weiss, Maya Selivanova, Nogah Melamed Cohen, Yuval Shahar:
Implementation and evaluation of a system for assessment of the quality of long-term management of patients at a geriatric hospital. J. Biomed. Informatics 156: 104686 (2024) - [c74]Shai Jaffe, Yuval Shahar, Ayelet Goldstein, Erez Shalom, Maya Selivanova, Ephraim Rimon, Odeya Cohen:
Using Formal Knowledge to Support Episodic Evidence-Based Nursing Care. MIE 2024: 1053-1057 - [c73]Yuval Shahar, Shai Jaffe, Odeya Cohen, Erez Shalom, Maya Selivanova, Ephraim Rimon, Ayelet Goldstein:
Supporting the Episodic Application of Clinical Guidelines over Significant Time Periods. MIE 2024: 1873-1877 - [i19]Carmel Shabalin, Shenkman Israel, Ilan Shelef, Gal Ben-Arie, Alex Geftler, Yuval Shahar:
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation. CoRR abs/2410.20568 (2024) - 2023
- [j64]Alexander Shknevsky, Yuval Shahar, Robert Moskovitch:
The Semantic Adjacency Criterion in Time Intervals Mining. Big Data Cogn. Comput. 7(4): 173 (2023) - [c72]Michal Weisman Raymond, Yuval Shahar:
Provision of Decision Support Through Continuous Prediction of Recurring Clinical Actions. ICIMTH 2023: 200-203 - [c71]Michael Shapiro, Yuval Shahar:
Treatment Prediction in the ICU Using a Partitioned, Sequential, Deep Time Series Analysis. MedInfo 2023: 710-714 - [c70]Anna Romanov, Yuval Shahar:
Automated Process Mining and Learning of Therapeutic Actions in the Intensive Care Unit. MedInfo 2023: 825-829 - [i18]Ido Zehori, Nevo Itzhak, Yuval Shahar, Mia Dor Schiller:
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model. CoRR abs/2302.03332 (2023) - [i17]Yanir Marmor, Alex Abbey, Yuval Shahar, Osnat Mokryn:
Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model. CoRR abs/2307.05840 (2023) - 2022
- [j63]Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar:
A dual-layer context-based architecture for the detection of anomalous instructions sent to medical devices. Artif. Intell. Medicine 123: 102229 (2022) - [j62]Erez Shalom, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Valerie M. Jones, Boris W. van Schooten, Yuval Shahar:
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation. Artif. Intell. Medicine 129: 102324 (2022) - [j61]Mor Peleg, Yuval Shahar, Silvana Quaglini:
MobiGuide: guiding clinicians and chronic patients anytime, anywhere. Commun. ACM 65(4): 74-79 (2022) - [j60]Tom Mahler, Erez Shalom, Arnon Makori, Yuval Elovici, Yuval Shahar:
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists' Perspective. J. Digit. Imaging 35(3): 666-677 (2022) - [c69]Michael Shapiro, Yuval Shahar:
Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis. ICIMTH 2022: 360-361 - [i16]Hilla Shinitzky, Yuval Shahar, Dan Avraham, Yizhak Vaisman, Yakir Tsizer, Yaniv Leedon:
Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation. CoRR abs/2201.08247 (2022) - [i15]Alex Abbey, Yanir Marmor, Yuval Shahar, Osnat Mokryn:
An interaction-based contagion model over temporal networks demonstrates that reducing temporal network density reduces total infection rate. CoRR abs/2202.11591 (2022) - [i14]Alex Abbey, Yuval Shahar, Osnat Mokryn:
Analysis of the competition among viral strains using a temporal interaction-driven contagion model. CoRR abs/2203.08115 (2022) - [i13]Hilla Shinitzky, Yuval Shahar, Ortal Parpara, Michal Ezrets, Raz Klein:
Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation: Correctly Choosing how to Choose Correctly. CoRR abs/2204.01721 (2022) - [i12]Erez Shalom, Ayelet Goldstein, Roni Wais, Maya Slivanova, Nogah Melamed Cohen, Yuval Shahar:
Implementation and Evaluation of a System for Assessment of The Quality of Long-Term Management of Patients at a Geriatric Hospital. CoRR abs/2211.12904 (2022) - 2021
- [j59]Matan Lion, Yuval Shahar:
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records. J. Biomed. Informatics 123: 103919 (2021) - [i11]Alexander Shknevsky, Yuval Shahar, Robert Moskovitch:
The Semantic Adjacency Criterion in Time Intervals Mining. CoRR abs/2101.03842 (2021) - [i10]Yuval Shahar:
The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient. CoRR abs/2102.01811 (2021) - [i9]Erez Shalom, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Valerie M. Jones, Boris W. van Schooten, Yuval Shahar:
Distributed Application of Guideline-Based Decision Support through Mobile Devices: Implementation and Evaluation. CoRR abs/2102.11314 (2021) - [i8]Avner Hatsek, Yuval Shahar:
A Methodology for Bi-Directional Knowledge-Based Assessment of Compliance to Continuous Application of Clinical Guidelines. CoRR abs/2103.07789 (2021) - [i7]Avner Hatsek, Irit Hochberg, Deeb Daoud Naccache, Aya Biderman, Yuval Shahar:
Evaluation of a Bi-Directional Methodology for Automated Assessment of Compliance to Continuous Application of Clinical Guidelines, in the Type 2 Diabetes-Management Domain. CoRR abs/2103.09031 (2021) - [i6]Yuval Shahar, Matan Lion:
Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records. CoRR abs/2105.08450 (2021) - 2020
- [j58]Matan Kintzlinger, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz:
CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices. IEEE Access 8: 48123-48140 (2020) - [c68]Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar:
A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions. AIME 2020: 273-286 - [i5]Tom Mahler, Yuval Elovici, Yuval Shahar:
A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation. CoRR abs/2002.06938 (2020)
2010 – 2019
- 2019
- [j57]Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak:
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019) - [c67]Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar:
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. KDD 2019: 2961-2969 - 2018
- [j56]Robert A. Greenes, David W. Bates, Kensaku Kawamoto, Blackford Middleton, Jerome A. Osheroff, Yuval Shahar:
Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures. J. Biomed. Informatics 78: 134-143 (2018) - [i4]Tom Mahler, Nir Nissim, Erez Shalom, Israel Goldenberg, Guy Hasman, Arnon Makori, Itzik Kochav, Yuval Elovici, Yuval Shahar:
Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices. CoRR abs/1801.05583 (2018) - 2017
- [j55]Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch:
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine 81: 12-32 (2017) - [j54]Ayelet Goldstein, Yuval Shahar, Efrat Orenbuch, Matan J. Cohen:
Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain. Artif. Intell. Medicine 82: 20-33 (2017) - [j53]Mor Peleg, Yuval Shahar, Silvana Quaglini, Tom H. F. Broens, Roxana Ioana Budasu, Nick Lik San Fung, Adi Fux, Gema García-Sáez, Ayelet Goldstein, Arturo González-Ferrer, Hermie Hermens, M. Elena Hernando, Val Jones, Guy Klebanov, Denis Klimov, Daniel Knoppel, Nekane Larburu, Carlos Marcos Lagunar, Iñaki Martínez-Sarriegui, Carlo Napolitano, Angels Pallàs, Angel Palomares, Enea Parimbelli, Belén Pons, Mercedes Rigla, Lucia Sacchi, Erez Shalom, Pnina Soffer, Boris W. van Schooten:
Assessment of a personalized and distributed patient guidance system. Int. J. Medical Informatics 101: 108-130 (2017) - [j52]Alexander Shknevsky, Yuval Shahar, Robert Moskovitch:
Consistent discovery of frequent interval-based temporal patterns in chronic patients' data. J. Biomed. Informatics 75: 83-95 (2017) - [j51]Mor Peleg, Yuval Shahar, Silvana Quaglini, Adi Fux, Gema García-Sáez, Ayelet Goldstein, M. Elena Hernando, Denis Klimov, Iñaki Martínez-Sarriegui, Carlo Napolitano, Enea Parimbelli, Mercedes Rigla, Lucia Sacchi, Erez Shalom, Pnina Soffer:
MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains. User Model. User Adapt. Interact. 27(2): 159-213 (2017) - [i3]Eitam Sheetrit, Nir Nissim, Denis Klimov, Lior Fuchs, Yuval Elovici, Yuval Shahar:
Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients. CoRR abs/1709.01720 (2017) - 2016
- [j50]Erez Shalom, Yuval Shahar, Eitan Lunenfeld:
An architecture for a continuous, user-driven, and data-driven application of clinical guidelines and its evaluation. J. Biomed. Informatics 59: 130-148 (2016) - [j49]Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch:
Improving condition severity classification with an efficient active learning based framework. J. Biomed. Informatics 61: 44-54 (2016) - [j48]Ayelet Goldstein, Yuval Shahar:
An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data. J. Biomed. Informatics 61: 159-175 (2016) - [j47]Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak:
Temporal data analytics. J. Biomed. Informatics 62: 276-277 (2016) - [c66]Mor Peleg, Yuval Shahar, Silvana Quaglini:
The MobiGuide Distributed & Personalized Patient Guidance System. AMIA 2016 - 2015
- [j46]Robert Moskovitch, Yuval Shahar:
Classification-driven temporal discretization of multivariate time series. Data Min. Knowl. Discov. 29(4): 871-913 (2015) - [j45]Erez Shalom, Yuval Shahar, Yisrael Parmet, Eitan Lunenfeld:
A multiple-scenario assessment of the effect of a continuous-care, guideline-based decision support system on clinicians' compliance to clinical guidelines. Int. J. Medical Informatics 84(4): 248-262 (2015) - [j44]Denis Klimov, Alexander Shknevsky, Yuval Shahar:
Exploration of patterns predicting renal damage in patients with diabetes type II using a visual temporal analysis laboratory. J. Am. Medical Informatics Assoc. 22(2): 275-289 (2015) - [j43]Robert Moskovitch, Yuval Shahar:
Fast time intervals mining using the transitivity of temporal relations. Knowl. Inf. Syst. 42(1): 21-48 (2015) - [j42]Robert Moskovitch, Yuval Shahar:
Classification of multivariate time series via temporal abstraction and time intervals mining. Knowl. Inf. Syst. 45(1): 35-74 (2015) - [c65]Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak:
An Active Learning Framework for Efficient Condition Severity Classification. AIME 2015: 13-24 - [c64]Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Nick Lik San Fung, Val Jones, Boris W. van Schooten:
Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework. KR4HC/ProHealth 2015: 111-125 - [c63]Ayelet Goldstein, Yuval Shahar:
Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records. MedInfo 2015: 594-598 - 2014
- [c62]Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Silvana Quaglini, Lucia Sacchi, Nick Lik San Fung, Valerie M. Jones, Tom H. F. Broens, Gema García-Sáez, M. Elena Hernando:
Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application. Business Process Management Workshops 2014: 53-58 - [c61]Carol V. Brown, Tina Blegind Jensen, Margunn Aanestad, Wendy Currie, Federico Pigni, Yuval Shahar:
Leveraging Digital Innovation in Healthcare: harnessing Big Data, Cloud and Mobile Computing for Better Health. ECIS 2014 - 2013
- [c60]Ayelet Goldstein, Yuval Shahar:
Implementation of a System for Intelligent Summarization of Longitudinal Clinical Records. KR4HC/ProHealth 2013: 68-82 - [c59]Denis Klimov, Yuval Shahar:
iALARM: An Intelligent Alert Language for Activation, Response, and Monitoring of Medical Alerts. KR4HC/ProHealth 2013: 128-142 - [c58]Silvana Quaglini, Yuval Shahar, Mor Peleg, Silvia Miksch, Carlo Napolitano, Mercedes Rigla, Angels Pallàs, Enea Parimbelli, Lucia Sacchi:
Supporting Shared Decision Making within the MobiGuide Project. AMIA 2013 - [c57]Ofra Amir, Yuval Shahar, Ya'akov Gal, Litan Ilani:
On the Verification Complexity of Group Decision-Making Tasks. HCOMP 2013: 2-8 - [i2]Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar:
Utility Elicitation as a Classification Problem. CoRR abs/1301.7367 (2013) - 2012
- [j41]Asaf Shabtai, Yuval Shahar, Yuval Elovici:
A distributed architecture for efficient parallelization and computation of knowledge-based temporal abstractions. J. Intell. Inf. Syst. 39(1): 249-286 (2012) - [j40]Gil Tahan, Lior Rokach, Yuval Shahar:
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features. J. Mach. Learn. Res. 13: 949-979 (2012) - [c56]Adam Perer, David Gotz, Ben Shneiderman, Yuval Shahar, Jeffrey Heer:
Visual Analytics in Healthcare. AMIA 2012 - [c55]Yuval Shahar:
The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge. ProHealth/KR4HC 2012: 1-29 - [c54]Erez Shalom, Iliya Fridman, Yuval Shahar, Avner Hatsek, Eitan Lunenfeld:
Towards a Realistic Clinical-Guidelines Application Framework: Desiderata, Applications, and Lessons Learned. ProHealth/KR4HC 2012: 56-70 - [i1]Michael Ramati, Yuval Shahar:
Irregular-Time Bayesian Networks. CoRR abs/1203.3510 (2012) - 2011
- [j39]Yuval Shahar, Carlo Combi:
Artificial Intelligence in Medicine AIME 2009. Artif. Intell. Medicine 52(2): 57-58 (2011) - [c53]Yuval Shahar:
The "Human Cli-Knowme" Project: Building a Universal, Formal, Procedural and Declarative Clinical Knowledge Base, for the Automation of Therapy and Research. KR4HC 2011: 1-22 - 2010
- [j38]Denis Klimov, Yuval Shahar, Meirav Taieb-Maimon:
Intelligent visualization and exploration of time-oriented data of multiple patients. Artif. Intell. Medicine 49(1): 11-31 (2010) - [j37]Denis Klimov, Yuval Shahar, Meirav Taieb-Maimon:
Intelligent selection and retrieval of multiple time-oriented records. J. Intell. Inf. Syst. 35(2): 261-300 (2010) - [j36]Asaf Shabtai, Yuval Fledel, Yuval Elovici, Yuval Shahar:
Using the KBTA method for inferring computer and network security alerts from time-stamped, raw system metrics. J. Comput. Virol. 6(3): 239-259 (2010) - [c52]Michael Ramati, Yuval Shahar:
Irregular-Time Bayesian Networks. UAI 2010: 484-491
2000 – 2009
- 2009
- [j35]Robert Moskovitch, Yuval Shahar:
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine. J. Biomed. Informatics 42(1): 11-21 (2009) - [j34]Efrat German, Akiva Leibowitz, Yuval Shahar:
An architecture for linking medical decision-support applications to clinical databases and its evaluation. J. Biomed. Informatics 42(2): 203-218 (2009) - [j33]Itay Segal, Yuval Shahar:
A distributed system for support and explanation of shared decision-making in the prenatal testing domain. J. Biomed. Informatics 42(2): 272-286 (2009) - [j32]Dima Stopel, Robert Moskovitch, Zvi Boger, Yuval Shahar, Yuval Elovici:
Using artificial neural networks to detect unknown computer worms. Neural Comput. Appl. 18(7): 663-674 (2009) - [c51]Robert Moskovitch, Yuval Shahar:
Medical Temporal-Knowledge Discovery via Temporal Abstraction. AMIA 2009 - [e2]Carlo Combi, Yuval Shahar, Ameen Abu-Hanna:
Artificial Intelligence in Medicine, 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings. Lecture Notes in Computer Science 5651, 2009, ISBN 978-3-642-02975-2 [contents] - 2008
- [j31]Susana B. Martins, Yuval Shahar, Dina Goren-Bar, Maya Galperin, Herbert Kaizer, Lawrence V. Basso, Deborah McNaughton, Mary K. Goldstein:
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data. Artif. Intell. Medicine 43(1): 17-34 (2008) - [j30]Erez Shalom, Yuval Shahar, Meirav Taieb-Maimon, Guy Bar, Avi Yarkoni, Ohad Young, Susana B. Martins, Laszlo T. Vaszar, Mary K. Goldstein, Yair Liel, Akiva Leibowitz, Tal Marom, Eitan Lunenfeld:
A quantitative assessment of a methodology for collaborative specification and evaluation of clinical guidelines. J. Biomed. Informatics 41(6): 889-903 (2008) - [j29]Alex Spokoiny, Yuval Shahar:
Incremental application of knowledge to continuously arriving time-oriented data. J. Intell. Inf. Syst. 31(1): 1-33 (2008) - [c50]Erez Shalom, Yuval Shahar, Meirav Taieb-Maimon, Guy Bar, Susana B. Martins, Ohad Young, Laszlo T. Vaszar, Yair Liel, Avi Yarkoni, Mary K. Goldstein, Akiva Leibowitz, Tal Marom, Eitan Lunenfeld:
Can Physicians Structure Clinical Guidelines? Experiments with a Mark-Up-Process Methodology. K4HelP 2008: 67-80 - [c49]Avner Hatsek, Yuval Shahar, Meirav Taieb-Maimon, Erez Shalom, Adit Dubi-Sobol, Guy Bar, Arie Koyfman, Eitan Lunenfeld:
A Methodological Specification of a Guideline for Diagnosis and Management of PreEclampsia. K4HelP 2008: 123-133 - [p3]Paolo Terenziani, Efrat German, Yuval Shahar:
The Temporal Aspects of Clinical Guidelines. Computer-based Medical Guidelines and Protocols 2008: 81-100 - [p2]Avner Hatsek, Ohad Young, Erez Shalom, Yuval Shahar:
DeGeL: A Clinical-Guidelines Library and Automated Guideline-Support Tools. Computer-based Medical Guidelines and Protocols 2008: 203-212 - 2007
- [j28]Robert Moskovitch, Susana B. Martins, Eytan Behiri, Aviram Weiss, Yuval Shahar:
Application of Information Technology: A Comparative Evaluation of Full-text, Concept-based, and Context-sensitive Search. J. Am. Medical Informatics Assoc. 14(2): 164-174 (2007) - [j27]Ohad Young, Yuval Shahar, Yair Liel, Eitan Lunenfeld, Guy Bar, Erez Shalom, Susana B. Martins, Laszlo T. Vaszar, Tal Marom, Mary K. Goldstein:
Runtime application of Hybrid-Asbru clinical guidelines. J. Biomed. Informatics 40(5): 507-526 (2007) - [j26]Alex Spokoiny, Yuval Shahar:
An active database architecture for knowledge-based incremental abstraction of complex concepts from continuously arriving time-oriented raw data. J. Intell. Inf. Syst. 28(3): 199-231 (2007) - [c48]Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Clint Feher, Chanan Glezer, Yuval Shahar, Yuval Elovici:
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining. CIDM 2007: 202-209 - [c47]Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Chanan Glezer, Yuval Shahar, Yuval Elovici:
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining. CISDA 2007: 169-177 - [c46]Robert Moskovitch, Shay Pluderman, Ido Gus, Dima Stopel, Clint Feher, Yisrael Parmet, Yuval Shahar, Yuval Elovici:
Host Based Intrusion Detection using Machine Learning. ISI 2007: 107-114 - [c45]Asaf Shabtai, Maor Atlas, Yuval Shahar, Yuval Elovici:
Evaluation of a temporal-abstraction knowledge acquisition tool in the network security domain. K-CAP 2007: 7-14 - [c44]Robert Moskovitch, Roee Sa'adon, Eytan Behiri, Susana B. Martins, Aviram Weiss, Yuval Shahar:
Experiments with Hierarchical Concept-Based Search. MedInfo 2007: 422-426 - [c43]Denis Klimov, Yuval Shahar:
Intelligent Querying and Exploration of Multiple Time-Oriented Medical Records. MedInfo 2007: 1314-1318 - 2006
- [j25]Robert Moskovitch, Shiva Cohen-Kashi, Uzi Dror, Iftah Levy, Amit Maimon, Yuval Shahar:
Multiple hierarchical classification of free-text clinical guidelines. Artif. Intell. Medicine 37(3): 177-190 (2006) - [j24]Yuval Shahar, Dina Goren-Bar, David Boaz, Gil Tahan:
Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions. Artif. Intell. Medicine 38(2): 115-135 (2006) - [c42]Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici:
Application of Artificial Neural Networks Techniques to Computer Worm Detection. IJCNN 2006: 2362-2369 - [c41]Asaf Shabtai, Denis Klimov, Yuval Shahar, Yuval Elovici:
An intelligent, interactive tool for exploration and visualization of time-oriented security data. VizSEC 2006: 15-22 - 2005
- [j23]David Boaz, Yuval Shahar:
A framework for distributed mediation of temporal-abstraction queries to clinical databases. Artif. Intell. Medicine 34(1): 3-24 (2005) - [c40]Michael Ramati, Yuval Shahar:
Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records. AIME 2005: 43-47 - [c39]Ohad Young, Yuval Shahar:
The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines. AIME 2005: 166-170 - [c38]Denis Klimov, Yuval Shahar:
A Framework for Intelligent Visualization of Multiple Time-Oriented Medical Records. AMIA 2005 - [c37]Erez Shalom, Yuval Shahar:
A Graphical Framework for Specification of Clinical Guidelines at Multiple Representation Levels. AMIA 2005 - [c36]Ohad Young, Yuval Shahar:
Applying Hybrid-Asbru Clinical Guidelines Using the Spock System. AMIA 2005 - [c35]Michael Ramati, Yuval Shahar:
Probabilistic Abstraction of Uncertain Temporal Data for Multiple Subjects. SARA 2005: 305-312 - [r1]Elpida Keravnou, Yuval Shahar:
Temporal Reasoning in Medicine. Handbook of Temporal Reasoning in Artificial Intelligence 2005: 587-653 - 2004
- [j22]Yuval Shahar, Ohad Young, Erez Shalom, Maya Galperin, Alon Mayaffit, Robert Moskovitch, Alon Hessing:
A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools. J. Biomed. Informatics 37(5): 325-344 (2004) - [c34]