Anat Goldstein
Cited by
Cited by
Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge
A Goldstein, L Fink, A Meitin, S Bohadana, O Lutenberg, G Ravid
Precision agriculture 19, 421-444, 2018
Analyzing online consumer behavior in mobile and PC devices: A novel web usage mining approach
O Raphaeli, A Goldstein, L Fink
Electronic commerce research and applications 26, 1-12, 2017
Components of a multi-perspective modeling method for designing and managing IT security systems
A Goldstein, U Frank
Information Systems and e-Business Management 14, 101-140, 2016
A Framework for Evaluating Agricultural Ontologies
A Goldstein, L Fink, G Ravid
Sustainability 13 (11), 2021
Business process runtime models: towards bridging the gap between design, enactment, and evaluation of business processes
A Goldstein, T Johanndeiter, U Frank
Information Systems and e-Business Management 17, 27-64, 2019
M-commerce vs. E-commerce: Exploring web session browsing behavior
O Raphaeli, L Fink, S Berman, A Goldstein
Towards Business Process Models at Runtime.
T Johanndeiter, A Goldstein, U Frank
Models@ run. time, 13-25, 2013
The hidden conversion funnel of mobile vs. desktop consumers
A Goldstein, C Hajaj
Electronic Commerce Research and Applications 53, 101135, 2022
A language for multi-perspective modelling of IT security: objectives and analysis of requirements
A Goldstein, U Frank
Business Process Management Workshops: BPM 2012 International Workshops …, 2013
Equal opportunity for all? The long tail of crowdfunding: Evidence from kickstarter
O Barzilay, H Geva, A Goldstein, G Oestreicher-Singer
The Long Tail of Crowdfunding: Evidence From Kickstarter (July 17, 2018), 2018
Are We There Yet? Analyzing Progress in the Conversion Funnel Using the Diversity of Searched Products
A Goldstein, G Oestreicher-Singer, O Barzilay, I Yahav
MIS Quarterly, 2022
Addressing the ‘Tower of Babel’of pesticide regulations: an ontology for supporting pest-control decisions
A Goldstein, L Fink, O Raphaeli, A Hetzroni, G Ravid
The Journal of Agricultural Science 157 (6), 493-503, 2019
A Cloud-Based Framework for Agricultural Data Integration: A Top-Down-Bottom-Up Approach
A Goldstein, L Fink, G Ravid
IEEE Access 10, 88527-88537, 2022
Feeding intolerance as a predictor of clinical outcomes in critically ill patients: a machine learning approach
O Raphaeli, C Hajaj, I Bendavid, A Goldstein, E Chen, P Singer
Clinical Nutrition ESPEN 46, S546-S547, 2021
Open to everyone? The long tail of the peer economy: Evidence from Kickstarter
O Barzilay, H Geva, A Goldstein, G Oestreicher-Singer
International Conference on Information Systems (ICIS'18), 2018
Using Machine-Learning to Assess the Prognostic Value of Early Enteral Feeding Intolerance in Critically Ill Patients: A Retrospective Study
O Raphaeli, L Statlender, C Hajaj, I Bendavid, A Goldstein, E Robinson, ...
Nutrients 15 (12), 2705, 2023
Self-report symptom-based endometriosis prediction using machine learning
A Goldstein, S Cohen
Scientific Reports 13 (1), 5499, 2023
Engagement, Search Goals and Conversion-The Different M-Commerce Path to Conversion
A Goldstein, O Raphaeli, S Reichman
International Conference on Information Systems (ICIS), 2016
Augmented Enterprise Models as a Foundation for Generating Security-related Software: Requirements and Prospects
A Goldstein, U Frank
Model-Driven Security Workshop in Conjunction with MoDELS, 2012
A method for Multi-Perspective Modelling of IT Security: Objectives and Analysis of Requirements
A Goldstein, U Frank
SBP-2012, 2012
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