General Information
NameProf. Yuval Shahar
DepartmentDepartment of Software and Information Systems Engineering
Emailyshahar@bgu.ac.il
Personal Web SitePersonal Web Site
Academic RankProfessor


Books

 
[1] Combi Carlo, Kervanou Elpida, Shahar Y., Temporal Information Systems in Medicine, Springer Publishing Company, Incorporated, (2010).

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Book in Series

 
[1] Ramati M., Shahar Y., Probabilistic abstraction of uncertain temporal data for multiple subjects, Springer-Verlag Berlin, BERLIN, 305-312, (2005).
[2] Ramati M., Shahar Y., Probabilistic abstraction of multiple longitudinal electronic medical records, Springer-Verlag Berlin, BERLIN, 43-47, (2005).
[3] Young O., Shahar Y., The spock systems: Developing a runtime application engine for hybrid-asbru guidelines, Springer-Verlag Berlin, BERLIN, 166-170, (2005).
[4] Boaz D., Shahar Y., Idan: A distributed temporal-abstraction mediator for medical databases, Springer-Verlag Berlin, BERLIN, 21-30, (2003).
[5] Shahar Y., Young O., Shalom E., Mayaffit A., Moskovitch R., Hessing A., Galperin M., DEGEL: A hybrid, multiple-ontology framework for specification and retrieval of clinical guidelines, Springer-Verlag Berlin, BERLIN, 122-131, (2003).
[6] Shahar Y., Timing is everything: Temporal reasoning and temporal data maintenance in medicine, Springer, 30-46, (1999).
[7] Shahar Y., Miksch S., Johnson P., A task-specific ontology for the application and critiquing of time-oriented clinical guidelines, Springer-Verlag Berlin, BERLIN 33, 51-61, (1997).
[8] Musen M.A., Tu S.W., Das A.K., Shahar Y., A component-based architecture for automation of protocol-directed therapy, Springer-Verlag Berlin, BERLIN 33, 3-13, (1995).

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Journal Articles

 
[1] Shahar Y., Fast time intervals mining using the transitivity of temporal relations, Knowl. Inf. Syst. (UK), 42, 1, 21 - 48, (2015).
[2] Shahar Y., Classification-driven temporal discretization of multivariate time series, Data Min. Knowl. Discov. (USA), 29, 4, 871 - 913, (2015).
[3] Shahar Y., An active learning framework for efficient condition severity classification, 15th Conference on Artificial Intelligence in Medicine, AIME 2015 Proceedings: LNCS 9105, 9105, 13 - 24, (2015).
[4] Shahar Y., Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework, Knowledge Representation for Health Care. AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015. Revised Selected Papers: LNCS 9485, 111 - 25, (2015).
[5] Shahar Y., Towards a realistic clinical-guidelines application framework: desiderata, applications, and lessons learned, Process Support and Knowledge Representation in Health Care. BPM 2012 Joint Workshop. ProHealth 2012/KR4HC 2012. Revised Selected Papers, 56 - 70, (2013).
[6] Shahar Y., Implementation of a system for intelligent summarization of longitudinal clinical records, Process Support and Knowledge Representation in Health Care. AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013. Revised Selected Papers: LNCS 8268, 68 - 82, (2013).
[7] Shahar Y., The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge, Process Support and Knowledge Representation in Health Care. BPM 2012 Joint Workshop. ProHealth 2012/KR4HC 2012. Revised Selected Papers, 1 - 29, (2013).
[8] Shahar Y., iALARM: an Intelligent Alert Language for Activation, Response, and Monitoring of Medical Alerts, Process Support and Knowledge Representation in Health Care. AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013. Revised Selected Papers: LNCS 8268, 128 - 42, (2013).
[9] Zmiri, Shahar Y., Dror, Classification of patients by severity grades during triage in the emergency department using data mining methods, , 18, 378--388, (2012).
[10] Shahar Y., A distributed architecture for efficient parallelization and computation of knowledge-based temporal abstractions, , 39, 249--286, (2012).
[11] Ramati, Shahar Y., Michael, Irregular-time Bayesian networks, , 25, 229-256, (2012).
[12] Tahan, Gil, Shahar Y., Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features, , 98888, 949--979, (2012).
[13] Shahar Y., Combi, Carlo, Artificial Intelligence in Medicine AIME 2009. , 52, 57, (2011).
[14] Shahar Y., Intelligent visualization and exploration of time-oriented data of multiple patients, Artificial Intelligence in Medicine, 49, 1, 11-31, (2010).
[15] Shahar Y., Intelligent Visualization and Exploration of the Time-Oriented Data of Multiple Patients, Artificial Intelligence in Medicine, 49, 1, 11-31, (2010).
[16] Hatsek, Shahar Y., Avner, Shalom, Erez, Klimov, Denis, Lunenfeld, Eitan, A Scalable Architecture for Incremental Specification and Maintenance of Procedural and Declarative Clinical Decision-Support Knowledge, , 4, 255, (2010).
[17] Fledel, Yuval, Shahar Y., Using the KBTA method for inferring computer and network security alerts from time-stamped, raw system metrics, , 6, 239--259, (2010).
[18] Segal I., Shahar Y., A distributed system for support and explanation of shared decision-making in the prenatal testing domain. Journal of biomedical informatics, 42, 2, 272-286, (2009).
[19] German E., Shahar Y., An architecture for linking medical decision-support applications to clinical databases and its evaluation. The Journal of BioMedical Informatics , 42, 2, 203-218, (2009).
[20] Shahar Y., Intelligent visualization of temporal associations for multiple time-oriented patient records, Methods of Information in Medicine , 48, 3, 254-262, (2009).
[21] Stopel Dima, Shahar Y., Using artificial neural networks to detect unknown computer worms, Neural Computing and Applications, 18, 7, 663-674, (2009).
[22] Shahar Y., Vaidurya: A multiple-ontology, concept-based, context-sensitive, clinical-guideline search engine, The Journal of BioMedical Informatics, 42, 1, 11-21, (2009).
[23] Klimov, Shahar Y., D, Intelligent interactive visual exploration of temporal associations among multiple time-oriented patient records, , 48, 254--62, (2009).
[24] Shalom, Shahar Y., Erez, Martins, B ., Vaszar, T ., Goldstein, K ., Gutnik, Lily, Lunenfeld, Eitan, Ability of expert physicians to structure clinical guidelines: reality versus perception, , 15, 1043--1053, (2009).
[25] Combi, Shahar Y., Carlo, Abu-Hanna, Ameen, Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine, , (2009).
[26] Moskovitch, Shahar Y., Robert, Medical temporal-knowledge discovery via temporal abstraction, , 2009, 452, (2009).
[27] Spokoiny Alex, Shahar Y., Incremental application of knowledge to continuously arriving time-oriented raw data. Journal of Intelligent Information Systems, (2008).
[28] Martins S., Shahar Y., Goren-Bar D., Galperin M., Kaizer H., Basso L., McNaughton D., Goldstein M., Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data, Artificial Intelligence in Medicine, 43, 1, 17 - 34, (2008).
[29] Terenziani P., German ., Shahar Y., The temporal aspects of clinical guidelines. Studies in health technology and informatics, 139, 100, (2008).
[30] Shalom E., Shahar Y., Shahar ., Taieb-Maimon ., A quality assessment tool for markup-based clinical guidelines. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1127, (2008).
[31] Hatsek A., Young ., Shalom ., Shahar Y., DeGeL: a clinical-guidelines library and automated guideline-support tools. Studies in health technology and informatics, 139, 12, (2008).
[32] Lunenfeld Eitan, Shahar Y., A quantitative evaluation of a methodology for collaborative specification of clinical guidelines at multiple representation levels. The Journal of BioMedical Informatics , 41, 6, 889-903, (2008).
[33] Shalom, Shahar Y., E, Lunenfeld, E, A methodology for evaluation of a markup-based specification of clinical guidelines. , 1126, (2008).
[34] Shalom, Shahar Y., Erez, Bar, Guy, Yarkoni, Avi, Young, Ohad, Martins, B ., Vaszar, Laszlo, Goldstein, K ., Liel, Yair, others, A quantitative assessment of a methodology for collaborative specification and evaluation of clinical guidelines, , 41, 889--903, (2008).
[35] Klimov D., Shahar Y., Intelligent querying and exploration of multiple time-oriented medical records. Medinfo. MEDINFO, 12, Pt 2, 8, (2007).
[36] Moskovitch R., Martins ., Behiri ., Weiss ., Shahar Y., A comparative evaluation of full-text, concept-based, and context-sensitive search. Journal of the American Medical Informatics Association : JAMIA, 14, 2, 74, (2007).
[37] Spokoiny A., Shahar Y., An active database architecture for knowledge-based incremental abstraction of complex concepts from continuously arriving time-oriented raw data, Journal of Intelligent Information Systems, 28, 3, 199 - 231, (2007).
[38] Young Ohad, Shahar Y., Lunenfeld Eitan, Runtime application of hybrid-Asbru clinical guidelines, The Journal of BioMedical Informatics , 40, 507–526, (2007).
[39] Shalom, Shahar Y., E, Lunenfeld, E, others, A quality assessment tool for markup-based clinical guidelines. , 14, 1127--1127, (2007).
[40] Moskovitch, Robert, Stopel, Dima, Verduijn, Shahar Y., Marion, Peek, Niels, Jonge D., Evert, Analysis of ICU Patients Using the Time Series Knowledge Mining Method, , (2007).
[41] Sa'adon, Roee, Shahar Y., Moskovitch, Robert, Hierarchical expansion for concept-based search, , 1678, (2007).
[42] Shahar Y., Multiple hierarchical classification of free-text clinical guidelines, Artificial Intelligence in Medicine, 37, 3, 177-190, (2006).
[43] Shahar Y., Goren-Bar D., Boaz ., Tahan ., Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions. Artificial intelligence in medicine, 38, 2, 35, (2006).
[44] Shahar Y., Hybrid specification, storage, retrieval and runtime application of clinical guidelines. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 27 Suppl 3, 3, (2006).
[45] Shalom, Shahar Y., Erez, Lunenfeld, Eitan, Young, Ohad, Goren-Bar, D, Martins, S, Vaszar, L, Liel, Y, Yarkoni, A, others, The importance of creating an ontology-specific consensus before a markup-based specification of clinical guidelines, , 30, 15-22, (2006).
[46] Shahar Y., Using the knowledge-based temporal-abstraction (KBTA) method for detection of electronic threats, , (2006).
[47] Stopel, Dima, Boger, Shahar Y., Zvi, Moskovitch, Robert, Improving worm detection with artificial neural networks through feature selection and temporal analysis techniques, , 15, 202--208, (2006).
[48] Hatsek, Avner, Young, Shahar Y., Ohad, Shalom, Erez, Demonstration of DeGeL: A Clinical-Guidelines Library and Automated Guideline-Support Tools, , 22, (2006).
[49] Boaz D., Shahar Y., A framework for distributed mediation of temporal-abstraction queries to clinical databases, Artificial Intelligence in Medicine, 34, 1, 3-24, (2005).
[50] Young O., Shahar Y., Applying Hybrid-Asbru clinical guidelines using the Spock system. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 8, (2005).
[51] Shalom E., Shahar Y., A graphical framework for specification of clinical guidelines at multiple representation levels. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 83, (2005).
[52] Moskovitch, Shahar Y., Robert, Temporal data mining based on temporal abstractions, , (2005).
[53] Shahar Y., Young O., Shalom E., Galperin M., Mayaffit A., Moskovitch R., Hessing A., A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools, journal of biomedical informatics, 37, 5, 325-344, (2004).
[54] Shahar Y., Young O., Shalom ., Mayaffit ., Moskovitch ., Hessing ., Galperin ., The Digital electronic Guideline Library (DeGeL): a hybrid framework for representation and use of clinical guidelines. Studies in health technology and informatics, 101, 51, (2004).
[55] Moskovitch R., Shahar Y., A multiple-ontology customizable search interface for retrieval of clinical guidelines. Studies in health technology and informatics, 101, 31, (2004).
[56] Advani A., Jones ., Shahar Y., Goldstein ., Musen ., An intelligent case-adjustment algorithm for the automated design of population-based quality auditing protocols. Medinfo. MEDINFO, 11, Pt 2, 7, (2004).
[57] Martins S., Shahar Y., Galperin ., Kaizer ., Goren-Bar ., McNaughton ., Basso ., Goldstein ., Evaluation of KNAVE-II: a tool for intelligent query and exploration of patient data. Medinfo. MEDINFO, 11, Pt 1, 52, (2004).
[58] Spokoiny A., Shahar Y., A knowledge-based time-oriented active database approach for intelligent abstraction, querying and continuous monitoring of clinical data. Medinfo. MEDINFO, 11, Pt 1, 8, (2004).
[59] Moskovitch, Robert, Shahar Y., Hessing, Alon, Vaidurya--a concept-based, context-sensitive search engine for clinical guidelines, , 11, 140--4, (2004).
[60] Shahar Y., Galperin-Aizenberg, Maya, Goren-Bar, Dina, Boaz, David, Tahan, Gil, Interactive Intelligent Exploration of Time-oriented Biomedical Data, , 187-201, (2004).
[61] Young, Shahar Y., Ohad, Spock: a hybrid model for runtime application of Asbru Clinical Guidelines, , (2004).
[62] Shahar Y., Boaz D., Tahan ., Galperin ., Goren-Bar ., Kaizer ., Basso ., Martins ., Goldstein ., A Web-Based system for interactive visualization and exploration of time-oriented clinical data and their abstractions. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1073, (2003).
[63] Shahar Y., Boaz D., Tahan ., Galperin ., Goren-Bar ., Kaizer ., Basso ., Martins ., Goldstein ., Interactive visualization and exploration of time-oriented clinical data using a distributed temporal-abstraction architecture. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1004, (2003).
[64] Advani A., Goldstein ., Shahar Y., Musen ., Developing quality indicators and auditing protocols from formal guideline models: knowledge representation and transformations. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 5, (2003).
[65] Balaban, Mira, Shahar Y., Boaz, David, Analysis of Temporal Abstraction in Medical Databases, , 113-123, (2003).
[66] Balaban, Mira, Shahar Y., Boaz, David, Applying temporal abstraction in medical information systems, , 56--64, (2003).
[67] Boaz, David, Shahar Y., Balaban, Mira, A temporal-abstraction rule language for medical databases, , (2003).
[68] Shahar Y., Shalom, Erez, Mayaffit, Alon, Young, Ohad, Galperin, Maya, Martins, Susana, Goldstein, Mary, A distributed, collaborative, structuring model for a clinical-guideline digital-library, , 2003, 589, (2003).
[69] Shahar Y., Goren-Bar, Dina, Galperin, Maya, Boaz, David, Tahan, Gil, KNAVE-II: A distributed architecture for interactive visualization and intelligent exploration of time-oriented clinical data, , 103--110, (2003).
[70] Advani A., Shahar Y., Musen M., Medical quality assessment by scoring adherence to guideline intentions, Journal of the American Medical Informatics Association, 9, 6, S92-S97, (2002).
[71] Shahar Y., Medical informatics: Between science and engineering, between academia and industry, Methods of Information in Medicine, 41, 1, 8-11, (2002).
[72] Shahar Y., Chakravarty S., "A constraint-based specification of periodic patterns in time-oriented data," Annals of Mathematics and Artificial Intelligence, , 30, (1-4), (2001).
[73] Shahar Y., Chakravarty S., "Specification and detection of periodicity in clinical data", Methods of Information in Medicine, 40, 5, 410-420, (2001).
[74] Shahar Y., Dimension of Time in Illness: An Objective View. Annals of Internal Medicine, 132, (1), 45-53, (2000).
[75] Shahar Y., Cheng C.., Model-Based Visualization of Temporal Abstractions. Computational Intelligence, 16, (2), 279-306, (2000).
[76] Shahar Y., Oliver D.E., "Change management of shared and local versions of health-care terminologies," Methods of Information in Medicine, , 39, (4-5), 278-290, (2000).
[77] Advani A., Shahar Y., Musen M., Quality assessment of guideline-oriented medical care using recognition of clinician intentions, Journal of the American Medical Informatics Association, 942-942, (2000).
[78] Oliver D.E., Shahar Y., Change management of shared and local versions of health-care terminologies, Methods of Information in Medicine, 39, 4-5, 278-290, (2000).
[79] Shahar Y., Combi C.., Editor's Forward: Intelligent Temporal Information Systems in Medicine. Journal of Intelligent Information Systems, 13, (1/2), 5-8, (1999).
[80] Shahar Y., Cheng C.., Intelligent Visualization and Exploration of Time-Oriented Clinical Data. Topics in Health Information Management, 20, (2), 15-31, (1999).
[81] Chen H.., Shahar Y., Stites DP.., Basso LV.., Kaizer H.., Wilson DM.., Musen MA.., Semi-automated entry of clinical temporal-abstraction knowledge, Journal of the American Medical Informatics Association, 6, 6, 494-511, (1999).
[82] Combi C.., Shahar Y., Editors' foreword: Intelligent temporal information systems in medicine, JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 13, 1-2, 5-8, (1999).
[83] Shahar Y., Knowledge-based temporal interpolation, Journal of Experimental & Theoretical Artificial Intelligence, 11, 1, 123-144, (1999).
[84] Oliver D.E., Shahar Y., Shortliffe E.H., Musen M.A., Representation of change in controlled medical terminologies, Artificial Intelligence in Medicine, 15, 1, 53-76, (1999).
[85] Nguyen J., Shahar Y., Tu S., Das A., Musen M., Integration of temporal reasoning and temporal-data maintenance into a reusable database mediator to answer abstract, time-oriented queries: the Tzolkin system, Journal of Intelligent Information Systems, 13, 1-2, 121 - 145, (1999).
[86] Shahar Y., Molina M., Knowledge-based spatiotemporal linear abstraction, Pattern Analysis and Applications, 1, 2, 91-104, (1998).
[87] Shahar Y., Dynamic temporal interpretation contexts for temporal abstraction, annals of mathematics and artificial intelligence, 22, 1-2, 159-192, (1998).
[88] Shahar Y., Combi C., Timing is everything - Time-oriented clinical information systems, Western Journal of Medicine, 168, 2, 105-113, (1998).
[89] Shahar Y., Cheng C., Knowledge-based visualization of time-oriented clinical data, Journal of the American Medical Informatics Association, 155-159, (1998).
[90] Shahar Y., Miksch S., Johnson P., Asgaard project: A task-specific framework for the application and critiquing of time-oriented clinical guidelines, Artificial Intelligence in Medicine, 14, 1-2, 29 - 51, (1998).
[91] Shahar Y., Utility elicitation as a classification problem, Uncertainty in Artificial Intelligence. Proceedings of the Fourteenth Conference (1998), 79 - 88, (1998).
[92] Nguyen J.H., Shahar Y., Tu S.W., Das A.K., Musen M.A., A temporal database mediator for protocol-based decision support, Journal of the American Medical Informatics Association, 298-302, (1997).
[93] Oliver D.E., Shahar Y., Development of a change model for a controlled medical vocabulary, Journal of the American Medical Informatics Association, 605-609, (1997).
[94] Musen M., Tu S., Advani A., Das A., Hasan Z., Nguyen J., Shahar Y., EON: CORBA-based middleware for automation of protocol-directed therapy, Journal of the American Medical Informatics Association, 1025-1025, (1997).
[95] Combi C., Shahar Y., Temporal reasoning and temporal data maintenance in medicine: Issues and challenges, Computers in Biology and Medicine, 27, 5, 353-368, (1997).
[96] Combi C., Shahar Y., Guest editors introduction to the special issue on time-oriented systems in medicine, Computers in Biology and Medicine, 27, 5, 349 -, (1997).
[97] Shahar Y., Framework for knowledge-based temporal abstraction, Artificial Intelligence, 90, 1-2, 79 - 133, (1997).
[98] Musen M., Tu S., Das A., Shahar Y., EON: A component-based approach to automation of protocol-directed therapy, Journal of the American Medical Informatics Association, 3, 6, 367-388, (1996).
[99] Shahar Y., Musen M., Knowledge-based temporal abstraction in clinical domains, Artificial Intelligence in Medicine, 8, 3, 267-298, (1996).
[100] Shahar Y., Miksch S., An intention-based language for representing clinical guidelines. Proceedings : a conference of the American Medical Informatics Association / . AMIA Annual Fall Symposium. AMIA Fall Symposium, 6, (1996).
[101] Eriksson H., Shahar Y., Tu S.W., Puerta A.R., Musen M.A., Task modeling with reusable problem-solving methods, Artificial Intelligence, 79, 2, 293-326, (1995).
[102] Tu S., Eriksson H., Gennari J., Shahar Y., Musen M., Ontology-based Configuration of Problem-solving Methods and Generation of Knowledge-acquisition Tools - Application of Protege-ii To Protocol-based Decision-support, Artificial Intelligence in Medicine, 7, 3, 257-289, (1995).
[103] Shahar Y., Das A., Tu ., Kraemer ., Basso ., Knowledge-based temporal abstraction in diabetes therapy. Medinfo. MEDINFO, 8 Pt 1, 6, (1995).
[104] Das A., Shahar Y., Tu S., Musen M., A temporal-abstraction mediator for protocol-based decision-support systems, Journal of the American Medical Informatics Association, 320-324, (1994).
[105] Shahar Y., Das A., Tu S., Kraemer F., Musen M., Knowledge-based temporal abstraction for diabetic monitoring, Journal of the American Medical Informatics Association, 697-701, (1994).
[106] MUSEN MA.., Shahar Y., Resume - A Temporal-abstraction System for Patient Monitoring, Computers and Biomedical Research, 26, 3, 255-273, (1993).
[107] Tu S.W., Shahar Y., Dawes J., Winkles J., Puerta A.R., Musen M.A., A problem-solving model for episodic skeletal-plan refinement, Knowl. Acquis. (UK), 4, 2, 197 - 216, (1992).
[108] Shahar Y., Tu S.W., Musen M.A., Knowledge acquisition for temporal-abstraction mechanisms, Knowl. Acquis. (UK), 4, 2, 217 - 36, (1992).
[109] Shahar Y., Carel R., Changes in Smoking Patterns in Young Military Recruits in Relationship To Psychosocial Characteristics, Military Medicine, 156, 9, 455-461, (1991).
[110] Shahar Y., Tu S., Temporal-abstraction mechanisms in management of clinical protocols. Proceedings / the . Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care, 33, (1991).
[111] Moskovitch, Shahar Y., Robert, A Multiple-Ontology Search Interface for Retrieval of Clinical Guidelines, , (0).
[112] Moskovitch, Shahar Y., Robert, Temporal Patterns Discovery from Multivariate Time Series via Temporal Abstraction and Time-Interval Mining, , (0).
[113] Ramati, Shahar Y., Michael, A Probabilistic Method for Multiple-Patient Temporal Abstraction, , (0).

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Conference Proceedings

 
[1] Peek Niels, Shahar Y., Classificaton of ICU patients via temporal abstractions and temporal pattern mining, IDAMAP-2009, (2009).
[2] Shahar Y., Can physicians structure clinical guidelines? experiments with a mark-up-process methodology, ECAI 2008, Springer, (2008).
[3] Shahar Y., methodological specification of a guideline for diagnosis and management of preeclampsia, ECAI 2008, (2008).
[4] Shahar Y., Experiments with hierarchical concept-based search. MEDINFO-2007, IOS Press; 1999, (2007).
[5] Shahar Y., Intelligent Visualization of Temporal Associations for Multiple Time-Oriented Patients Records, IDAMAP-2007, (2007).
[6] Shabtai Asaf, Atlas Maor, Shahar Y., Evaluation of a Temporal Abstraction Knowledge Acquisition Tool in the Network Security Domain, 4th international conference on knowledge capture (K-CAP2007), Oct 28-31, 2007, Canada, (2007).
[7] Gus Ido, Pluderman Shay, Stopel Dima, Parmet Y., Shahar Y., Detection of Unknown Computer Worms Activity Based on Computer Behaviour Using Data Mining, ", IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, Honolulu, Hawaii, USA, 1-5 April 2007, (2007).
[8] Gus Ido, Pluderman Shay, Stopel Dima, Feher Clint, Shahar Y., Host Based Intrusion Detection using Machine Learning, IEEE Information and Security Informatics Rutgers University, New Jersey, US, May 2007, (2007).
[9] Moskovitch, Robert, Gus, Ido, Pluderman, Shahar Y., Shay, Stopel, Dima, Detection of unknown computer worms activity based on computer behavior using data mining, IEEE, 169--177, (2007).
[10] Moskovitch, Robert, Pluderman, S, Gus, I, Shahar Y., Stopel, Dima, Feher, C, Host based intrusion detection using machine learning, IEEE, 107--114, (2007).
[11] Shahar Y., An Intelligent, Interactive Tool for Exploration and Visualization of Time-Oriented Security Data, ACM Workshop on Visualization for Computer Security (VizSEC2006), Virginia, USA, November 3 2006,Proceedings of the 3rd International Workshop on Visualization for Computer Security, VizSEC'06. Co-located with the 13th ACM Conference on Computer and Communications Security, CCS'06, 15 - 22, (2006).
[12] Shabtai Asaf, Shahar Y., Monitoring for Malware Using a Temporal-Abstraction Knowledge Base, 8th International Symposium on Systems and Information Security (SSI 2006), Sao Jose dos Campos, Sao Paulo, Brazil, November 8-10, 2006, (2006).
[13] Stoppel Dima, Boger Zvi, Moskovitch Robert, Shahar Y., Improving Worm Detection with Artificial Neural Networks through Feature Selection and Temporal Analysis Techniques, International Conference on Neural Networks ICNN 2006, (2006).
[14] Shahar Y., Application of Artificial Neural Networks Techniques to Computer Worm Detection, IEEE World Congress on Computational Intelligence (IEEE WCCI 2006), Vancouver, BC, Canada, July 16-21, 2006,IEEE International Conference on Neural Networks - Conference Proceedings, 2362 - 2369, (2006).
[15] Shabtai Asaf, Shahar Y., Using the Knowledge-Based Temporal Abstraction (KBTA) Method for Detection of Electronic Threats, 5th European Conference on Information Warfare and Security, National Defence College, Helsinki, Finland, June1-2, 2006, (2006).
[16] Stopel, Dima, Boger, Shahar Y., Zvi, Moskovitch, Robert, Application of artificial neural networks techniques to computer worm detection, IEEE, 2362--2369, (2006).
[17] Young O., Shahar Y., The spock system: Developing a runtime application engine for hybrid-asbru Guidelines, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science),Artificial Intelligence in Medicine. 10th Conference on Artificial Intelligence in Medicine, AIME 2005. Proceedings (Lecture Notes in Artificial Intelligence Vol.3581), Springer, 166 - 170, (2005).
[18] Klimov D., Shahar Y., A framework for intelligent visualization of multiple time-oriented medical records. AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium,AMIA . Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, American Medical Informatics Association, 9, (2005).
[19] Shahar Y., Vaidurya – A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines, Medinfo 2004, 5, (2004).
[20] Shahar Y., A Multi Ontology Customized Search Query Interface for Searching Clinical Guidelines, CGP-2004, 12, (2004).
[21] Shahar Y., Spock: A Hybrid Model for Runtime Application of Asbru Clinical Guidelines, Medinfo,Poster, (2004).
[22] Goren-Bar, Shahar Y., Dina, Galperin-Aizenberg, Maya, Boaz, David, Tahan, Gil, KNAVE II: the definition and implementation of an intelligent tool for visualization and exploration of time-oriented clinical data, 171--174, (2004).
[23] Shahar Y., DEGEL: A Hybrid, Multiple-Ontology Framework forSpecification and Retrieval of Clinical Guidelines, AIME 03, 10, (2003).
[24] Mayaffit A., Shahar Y., Martins S., Goldstein M., A Distributed, Collaborative, Structuring Modelfor a Clinical-Guideline Digital-Library, AMIA, 5, (2003).
[25] Shahar Y., Advani A.., Musen M. A.., Medical Quality Assessment by Scoring Adherence to Guideline Intentions.Student Paper Competition Finalist Paper. (2001).
[26] Shahar Y., Oliver D. E.., Change Management of Shared and Local Health-Care Terminologies. IMIA Working Group 6 Meeting on Health Concept Representation and Natural Language Processing, (1999).
[27] Shahar Y., Chakravarty S., Specification and Detection of Periodic Patterns in Clinical Data. Fourth Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-99), 20-31, (1999).
[28] Shahar Y., Eriksson H.., Fergerson R. W., Musen M. ., Automatic Generation of Ontology Editors. Twelfth Banff Knowledge Acquisition for Knowledge-based systems Workshop, (1999).
[29] Shahar Y., Musen, Evaluation of a Temporal-Abstraction Knowledge-Acquisition Tool, Twelfth Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, 6-4-1 -- 6-4-20, (1999).
[30] Shahar Y., Timing is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine. Seventh Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM'99), Springer, 30-46, (1999).
[31] Shahar Y., Cheng C., Intelligent visualization and exploration of time-oriented clinical data, Proceedings of the Hawaii International Conference on System Sciences,Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers, IEEE Comput. Soc, 149 -, (1999).
[32] Chakravarty S., Shahar Y., A constraint-based specification of periodic patterns in time-oriented data, Proceedings. Sixth International Workshop on Temporal Representation and Reasoning. TIME-99,Proceedings. Sixth International Workshop on Temporal Representation and Reasoning. TIME-99, IEEE Comput. Soc, 29 - 40, (1999).
[33] Advani A., Lo K., Shahar Y., Intention-based critiquing of guideline-oriented medical care, AMIA 1998,Journal of the American Medical Informatics Association, Hanley & Belfus Inc, 483-487, (1998).
[34] Shahar Y., Miksch S., Johnson P., The Asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines, Artif. Intell. Med. (Netherlands),Artif. Intell. Med. (Netherlands), Elsevier, 29 - 51, (1998).
[35] Miksch S., Kosara R., Shahar Y., Johnson P., AsbruView: visualization of time-oriented, skeletal plans, Proceedings Fourth International Conference on Artificial Intelligence Planning Systems,Proceedings Fourth International Conference on Artificial Intelligence Planning Systems, AAAI Press, 11 - 18, (1998).
[36] Shahar Y., Cheng C., Model-based visualization of temporal abstractions, Proceedings. Fifth International Workshop on Temporal Representation and Reasoning (Cat. No.98EX157),Proceedings. Fifth International Workshop on Temporal Representation and Reasoning (Cat. No.98EX157), Blackwell Publishers, 11 - 20, (1998).
[37] Shahar Y., Context-sensitive temporal abstraction of clinical data, Intelligent Data Analysis in Medicine and Pharmacology,Intelligent Data Analysis in Medicine and Pharmacology, Springer, 37 - 59, (1997).
[38] Shahar Y., Knowledge-based temporal interpolation, Proceedings of the International Workshop on Temporal Representation and Reasoning,Proceedings. Fourth International Workshop on Temporal Representation and Reasoning (Cat. No.97TB100135), Taylor & Francis, 102 - 111, (1997).
[39] Miksch S., Shahar Y., Horn W., Popow C., Paky F., Johnson P., Time-oriented skeletal plans: support to design and execution, Recent Advances in AI Planning. 4th European Conference on Planning, ECP'97 Proceedings,Recent Advances in AI Planning. 4th European Conference on Planning, ECP'97 Proceedings, Springer, 299 - 311, (1997).
[40] Shahar Y., Dynamic temporal interpretation contexts for temporal abstraction, Proceedings Third International Workshop on Temporal Representation and Reasoning (TIME'96),Proceedings Third International Workshop on Temporal Representation and Reasoning (TIME'96), Baltzer, 64 - 71, (1996).
[41] Shahar Y., Musen M.A., A temporal-abstraction system for patient monitoring, Sixteenth Annual Symposium on Computer Applications in Medical Care,Sixteenth Annual Symposium on Computer Applications in Medical Care, American Medical Informatics Association, 121 - 7, (1993).
[42] Musen M.A., Tu S.W., Shahar Y., A problem-solving model for protocol-based care: from a e-ONCOCIN to EON, MEDINFO 92. Proceedings of the Seventh World Congress on Medical Informatics,MEDINFO 92. Proceedings of the Seventh World Congress on Medical Informatics, North-Holland, 519 - 25, (1992).

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Technical Report

 
[1] Shknevsky Alexander, Shahar Y., (24410/2017), The Semantic Adjacency Criterion in Time IntervalsMining, bgu (2017).
[2] Shahar Y., (24254/2015), Evaluation of an Automated Knowledge-Based Textual Summarization System for Longitudinal, Multivariate Clinical Data, (2015).
[3] Shahar Y., (21843/2008), KarmaLego – An Algorithm for Fast Time Intervals Mining, (2008).
[4] Shahar Y., (297/2004), A Framework for a Distributed, Hybrid, Multiple-Ontology Clinical-Guideline Library and Automated Guideline-Support Tools, Ben Gurion University of the Negev (2004).
[5] Shahar Y., (307/2004), Effective Concept-Search in Hierarchical Organized Library, Medical Informatics Center, Ben Gurion University (2004).
[6] Shahar Y., (201/2003), Idan: A Distributed Temporal-Abstraction Mediatorfor Medical Databases. (2003).
[7] Shahar Y., (214/2003), Momentum – an Active Time-Oriented Database for Intelligent Abstraction, Exploration and Analysis of Clinical Data, Department of Information Systems Engineering, Ben Gurion University, Beer Sheva 84105, Israel (2003).
[8] Shahar Y., (248/2003), Spock: A Hybrid Model for Runtime Application of Asbru Clinical Guidelines, Ben-Gurion University (2003).
[9] Shahar Y., (184/2002), A Hybrid Framework for Representation and Use of Clinical Guidelines, Department of Information Systems, Ben Gurion University, Beer Sheva (2002).
[10] Shahar Y., Musen M. A.., O'Connor M. J., Buckeridge D. L., Graham ., Noy N. F., Henry K. ., (75/2001), A Knowledge-Based Approach To Temporal Abstraction Of Clinical Data For Disease Surveillance. (2001).
[11] Shahar Y., (99/2001), "Medical informatics: Between science and engineering, between academia and industry," Methods of Information in Medicine (in press), (2001).
[12] Shahar Y., Chakravarty S.., (77/2000), Acquisition and Analysis of Periodic Patterns in Time-Oriented Clinical Data. (2000).

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misc

 
[1] Shahar Y., Klimov, Denis, METHOD AND SYSTEM FOR SELECTING, RETRIEVING, VISUALIZING AND EXPLORING TIME-ORIENTED DATA IN MULTIPLE SUBJECT RECORDS, (2012).
[2] Shahar Y., Tahan, Gil, Architecture for identifying electronic threat patterns, (2011).

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Poster

 
[1] Shalom E., Shahar Y., Shahar ., Taieb-Maimon ., A methodology for evaluation of a markup-based specification of clinical guidelines. (2008).

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misc

 
[1] Moskovitch, Robert, Stopel, Shahar Y., Dima, Boger, Zvi, METHOD AND SYSTEM FOR DETECTING MALICIOUS BEHAVIORAL PATTERNS IN A COMPUTER, USING MACHINE LEARNING, (2008).
[2] Moskovitch, Robert, Stopel, Shahar Y., Dima, Boger, Zvi, Improved method and system for detecting malicious behavioral patterns in a computer, using machine learning, (2007).
[3] Moskovitch, Robert, Stopel, Shahar Y., Dima, Boger, Zvi, Method and system for detecting malicious behavioral patterns in a computer, using machine learning, (2007).

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incollection

 
[1] Combi, Carlo, Shahar Y., Keravnou-Papailiou, Elpida, Abstraction of Time-Oriented Clinical Data, Springer, (2010).
[2] Combi, Carlo, Shahar Y., Keravnou-Papailiou, Elpida, Automated Support to Clinical Guidelines and Care Plans, Springer, (2010).
[3] Combi, Carlo, Shahar Y., Keravnou-Papailiou, Elpida, Displaying Time-Oriented Clinical Data and Knowledge, Springer, (2010).
[4] Combi, Carlo, Shahar Y., Keravnou-Papailiou, Elpida, The role of Time in Medicine, Springer, (2010).
[5] Combi, Carlo, Shahar Y., Keravnou-Papailiou, Elpida, Time in Clinical Diagnosis, Springer, (2010).
[6] Hatsek, Shahar Y., Avner, Shalom, Erez, Dubi-Sobol, Adit, Bar, Guy, Koyfman, Arie, Lunenfeld, Eitan, A Methodological Specification of a Guideline for Diagnosis and Management of PreEclampsia, Springer, (2009).

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