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Roy Gelbard
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- affiliation: Bar-Ilan University, Ramat Gan, Israel
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2020 – today
- 2023
- [c7]Itzik David, Roy Gelbard:
Using sentiment analysis to assess PMBOK knowledge areas' compatibility with agile methodology. CENTERIS/ProjMAN/HCist 2023: 381-395 - 2021
- [j33]Mor Brokman Meltzer, Dikla Perez, Roy Gelbard:
Keep IT Together: Behavioral Aspects of Teams' Location in Enhancing Motivation to Adopt Complex Work Plans. Int. J. Inf. Technol. Proj. Manag. 12(1): 93-105 (2021) - [j32]Anna Khalemsky, Roy Gelbard:
ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time. ACM J. Data Inf. Qual. 13(2): 11:1-11:27 (2021) - 2020
- [j31]Anna Khalemsky, Roy Gelbard:
A dynamic classification unit for online segmentation of big data via small data buffers. Decis. Support Syst. 128 (2020) - [j30]Sagi Akron, Roy Gelbard:
Software code flexibility profitability in light of technology life cycle. Oper. Res. 20(2): 723-746 (2020)
2010 – 2019
- 2019
- [j29]Ran Etgar, Roy Gelbard, Yuval Cohen:
Presenting the several-release-problem and its cluster-based solution accelartion. Int. J. Prod. Res. 57(14): 4413-4434 (2019) - [j28]Noam Koriat, Roy Gelbard:
Knowledge Sharing Analytics: The Case of IT Workers. J. Comput. Inf. Syst. 59(4): 308-318 (2019) - 2018
- [j27]Ran Etgar, Roy Gelbard, Yuval Cohen:
Feature assignment in multi-release work plan: Accelerating optimization using gene clustering. Comput. Ind. Eng. 118: 123-137 (2018) - [j26]Roy Gelbard, Roni Ramon-Gonen, Abraham Carmeli, Ran M. Bittmann, Roman Talyansky:
Sentiment analysis in organizational work: Towards an ontology of people analytics. Expert Syst. J. Knowl. Eng. 35(5) (2018) - [j25]Noam Koriat, Roy Gelbard:
Knowledge Sharing Motivation Among External and Internal IT Workers. J. Inf. Knowl. Manag. 17(3): 1850026:1-1850026:24 (2018) - [c6]Mor Brokman, Dikla Perez, Roy Gelbard:
An Optimal Point is not Enough: The Motivation to Cope with Complex Software Project Planning. CENTERIS/ProjMAN/HCist 2018: 705-713 - [c5]Roy Gelbard, Anna Khalemsky:
Dynamic Classifier and Sensor Using Small Memory Buffers. ICDM 2018: 173-182 - 2017
- [j24]Ran Etgar, Roy Gelbard, Yuval Cohen:
Optimizing version release dates of research and development long-term processes. Eur. J. Oper. Res. 259(2): 642-653 (2017) - [j23]Roni Ramon-Gonen, Roy Gelbard:
Cluster evolution analysis: Identification and detection of similar clusters and migration patterns. Expert Syst. Appl. 83: 363-378 (2017) - [j22]Moshe Dayani, Roy Gelbard:
Software Project Planning Through Simulation of Entire Project's Problem-Space. Int. J. Inf. Technol. Proj. Manag. 8(3): 22-39 (2017) - 2016
- [j21]Aviad Barak, Roy Gelbard:
Classification by clustering using an extended saliency measure. Expert Syst. J. Knowl. Eng. 33(1): 46-59 (2016) - 2015
- [c4]Moshe Dayani, Roy Gelbard:
Automatic Conversion of Software Specification into a Gantt-chart subject to Organization's Constraints. CENTERIS/ProjMAN/HCist 2015: 73-78 - 2014
- [j20]Noam Koriat, Roy Gelbard:
Knowledge sharing motivation among IT personnel: Integrated model and implications of employment contracts. Int. J. Inf. Manag. 34(5): 577-591 (2014) - 2013
- [j19]Aviad Barak, Roy Gelbard:
Corrigendum to "A decision support method, based on bounded rationality concepts, to reveal feature saliency in clustering problems" [Decision Support Systems (54) (1) (2012) 292-303]. Decis. Support Syst. 54(2): 1205 (2013) - [j18]Roy Gelbard:
"Padding" bitmaps to support similarity and mining. Inf. Syst. Frontiers 15(1): 99-110 (2013) - 2012
- [j17]Aviad Barak, Roy Gelbard:
A decision support method, based on bounded rationality concepts, to reveal feature saliency in clustering problems. Decis. Support Syst. 54(1): 292-303 (2012) - [j16]Liran Edelist, Roy Gelbard, Jeffrey Kantor:
Software Project Costing: Coupling CMMI and PMBOK into a Generic Costing Framework. Int. J. Inf. Technol. Proj. Manag. 3(4): 72-86 (2012) - [j15]Avichai Meged, Roy Gelbard:
A Unified Fuzzy Data Model: Representation and Processing. J. Database Manag. 23(1): 78-102 (2012) - 2011
- [j14]Abraham Carmeli, Roy Gelbard, Riki Goldriech:
Linking perceived external prestige and collective identification to collaborative behaviors in R&D teams. Expert Syst. Appl. 38(7): 8199-8207 (2011) - [j13]Aviad Barak, Roy Gelbard:
Classification by clustering decision tree-like classifier based on adjusted clusters. Expert Syst. Appl. 38(7): 8220-8228 (2011) - [j12]Avichai Meged, Roy Gelbard:
Adjusting Fuzzy Similarity Functions for use with standard data mining tools. J. Syst. Softw. 84(12): 2374-2383 (2011) - 2010
- [j11]Roy Gelbard, Dov Te'eni, Matti Sade:
Object-Oriented Analysis: Is It Just Theory?. IEEE Softw. 27(1): 64-71 (2010) - [c3]Levi Shaul, Doron Tauber, Roy Gelbard:
Acceptance of Enterprise Resource Planning (ERP) Systems. MCIS 2010: 80
2000 – 2009
- 2009
- [j10]Ran M. Bittmann, Roy Gelbard:
Visualization of multi-algorithm clustering for better economic decisions - The case of car pricing. Decis. Support Syst. 47(1): 42-50 (2009) - [j9]Roy Gelbard, Abraham Carmeli, Ran M. Bittmann, Simcha (Simi) Ronen:
Cluster analysis using multi-algorithm voting in cross-cultural studies. Expert Syst. Appl. 36(7): 10438-10446 (2009) - [p2]Roy Gelbard, Avichai Meged:
Handling Fuzzy Similarity for Data Classification. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2157-2165 - [r1]Roy Gelbard, Avichai Meged:
Handling Fuzzy Similarity for Data Classification. Encyclopedia of Artificial Intelligence 2009: 796-802 - 2007
- [j8]Roy Gelbard, Orit Goldman, Israel Spiegler:
Investigating diversity of clustering methods: An empirical comparison. Data Knowl. Eng. 63(1): 155-166 (2007) - [j7]Ran M. Bittmann, Roy Gelbard:
Decision-making method using a visual approach for cluster analysis problems; indicative classification algorithms and grouping scope. Expert Syst. J. Knowl. Eng. 24(3): 171-187 (2007) - 2006
- [c2]Dov Te'eni, Roy Gelbard, Matti Sade:
Increasing the benefit of analysis: The case of systems that support communication. AIM Conference 2006: 13-27 - 2005
- [j6]Roy Gelbard, Israel Spiegler:
Living with Database Conflicts: A Temporal Branching Technique. Distributed Parallel Databases 17(3): 251-265 (2005) - 2004
- [p1]Roy Gelbard, Israel Spiegler:
Modeling Motion: Building Blocks of a Motion Database. Advanced Topics in Database Research, Vol. 3 2004: 327-345 - 2003
- [j5]Zippy Erlich, Roy Gelbard, Israel Spiegler:
Evaluating A Positive Attribute Clustering Model for Data Mining. J. Comput. Inf. Syst. 43(3): 100-108 (2003) - 2002
- [j4]Mordechai Ben-Menachem, Roy Gelbard:
Integrated IT management tool kit. Commun. ACM 45(4): 96-102 (2002) - [j3]Zippy Erlich, Roy Gelbard, Israel Spiegler:
Data Mining by Means of Binary Representation: A Model for Similarity and Clustering. Inf. Syst. Frontiers 4(2): 187-197 (2002) - [j2]Roy Gelbard, Israel Spiegler:
Representation and Storage of Motion Data. J. Database Manag. 13(3): 46-63 (2002) - 2000
- [j1]Roy Gelbard, Israel Spiegler:
Hempel's Raven paradox: a positive approach to cluster analysis. Comput. Oper. Res. 27(4): 305-320 (2000) - [c1]Roy Gelbard, Asher Gilmour:
Temporal Branching as a Conflict Management Technique. FMLDO 2000: 100-114
Coauthor Index
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