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 | 219 | 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 | 124 | 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 | 38 | 2016 |
A Framework for Evaluating Agricultural Ontologies A Goldstein, L Fink, G Ravid Sustainability 13 (11), 2021 | 30 | 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 | 14 | 2019 |
M-commerce vs. E-commerce: Exploring web session browsing behavior O Raphaeli, L Fink, S Berman, A Goldstein | 12 | 2014 |
Towards Business Process Models at Runtime. T Johanndeiter, A Goldstein, U Frank Models@ run. time, 13-25, 2013 | 11 | 2013 |
The hidden conversion funnel of mobile vs. desktop consumers A Goldstein, C Hajaj Electronic Commerce Research and Applications 53, 101135, 2022 | 9 | 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 | 9 | 2013 |
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 | 7 | 2019 |
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 | 7 | 2018 |
Self-report symptom-based endometriosis prediction using machine learning A Goldstein, S Cohen Scientific Reports 13 (1), 5499, 2023 | 5 | 2023 |
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 | 5 | 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 | 3 | 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 | 3 | 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 | 2 | 2023 |
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 | 2 | 2022 |
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 | 2 | 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 | 2 | 2012 |
A method for Multi-Perspective Modelling of IT Security: Objectives and Analysis of Requirements A Goldstein, U Frank SBP-2012, 2012 | 2 | 2012 |