| Prescriptive process monitoring: Quo vadis? K Kubrak, F Milani, A Nolte, M Dumas PeerJ Computer Science 8, e1097, 2022 | 62 | 2022 |
| A visual approach to support process analysts in working with process improvement opportunities K Kubrak, F Milani, A Nolte Business Process Management Journal 29 (8), 101-132, 2023 | 19 | 2023 |
| Process mining for process improvement-an evaluation of analysis practices K Kubrak, F Milani, A Nolte International Conference on Research Challenges in Information Science, 214-230, 2022 | 14 | 2022 |
| Digital Technology-Driven Business Process Redesign: A Classification Framework K Kubrak, F Milani, J Nava Research Challenges in Information Science: 17th International Conference …, 2023 | 9 | 2023 |
| Design and evaluation of a user interface concept for prescriptive process monitoring K Kubrak, F Milani, A Nolte, M Dumas International Conference on Advanced Information Systems Engineering, 347-363, 2023 | 7 | 2023 |
| Persuasive Visual Presentation of Prescriptive Business Processes JL Leemets, K Kubrak, F Milani, A Nolte Research Challenges in Information Science: 17th International Conference …, 2023 | 5 | 2023 |
| Strategic redesign of business processes in the digital age: a framework F Milani, K Kubrak, J Nava Data & Knowledge Engineering 154, 102367, 2024 | 1 | 2024 |
| Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring K Kubrak, L Botchorishvili, F Milani, A Nolte, M Dumas International Conference on Business Process Management, 403-420, 2024 | | 2024 |
| Kairos: A Tool for Prescriptive Monitoring of Business Processes K Kubrak, L Botchorishvili, F Milani, M Dumas, A Nolte, M Shoush, Z Qu International Conference on Process Mining (ICPM), 2023 | | 2023 |
| Visualization Techniques for Prescriptive Process Monitoring K Kubrak BPM 2022 (Doctoral Consortium), 2022 | | 2022 |
Fredrik MilaniUniversity of TartuVerified email at ut.ee