Business process variability modeling: A survey ML Rosa, WMPVD Aalst, M Dumas, FP Milani ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017 | 285 | 2017 |
Predictive process monitoring methods: Which one suits me best? C Di Francescomarino, C Ghidini, FM Maggi, F Milani International conference on business process management, 462-479, 2018 | 220 | 2018 |
Adaptations of data mining methodologies: a systematic literature review V Plotnikova, M Dumas, F Milani PeerJ Computer Science 6 (e267), 2020 | 121 | 2020 |
Blockchain Oracles: A Framework for Blockchain-Based Applications K Mammadzada, M Iqbal, F Milani, L García-Bañuelos, R Matulevičius. International Conference on Business Process Management, 2020 | 80 | 2020 |
Blockchain and business process improvement F Milani, L García-Bañuelos, M Dumas BPTrends newsletter (October 2016), 2016 | 77 | 2016 |
Modelling families of business process variants: a decomposition driven method F Milani, M Dumas, N Ahmed, R Matulevičius Information Systems 56, 55-72, 2016 | 60 | 2016 |
Prescriptive process monitoring: Quo vadis? K Kubrak, F Milani, A Nolte, M Dumas PeerJ Computer Science 8, e1097, 2022 | 58 | 2022 |
Digital Business Analysis F Milani | 53 | 2019 |
Applying the CRISP-DM data mining process in the financial services industry: Elicitation of adaptation requirements FM Plotnikova, Veronika, Marlon Dumas Data & Knowledge Engineering, 2022 | 41 | 2022 |
Process mining: a guide for practitioners F Milani, K Lashkevich, FM Maggi, C Di Francescomarino International conference on research challenges in information science, 265-282, 2022 | 29 | 2022 |
Agile software process improvement by learning from financial and fintech companies: LHV bank case study E Kilu, F Milani, E Scott, D Pfahl Software Quality: The Complexity and Challenges of Software Engineering and …, 2019 | 29 | 2019 |
Criteria and heuristics for business process model decomposition: review and comparative evaluation F Milani, M Dumas, R Matulevičius, N Ahmed, S Kasela Business & Information Systems Engineering 58, 7-17, 2016 | 25 | 2016 |
Modeling Blockchain-based Business Processes: A Comparative Analysis of BPMN vs CMMN F Milani, L Garcia-Banuelos, S Filipova, M Markovska Business Process Management Journal, 2021 | 24 | 2021 |
Decomposition driven consolidation of process models F Milani, M Dumas, R Matulevičius Advanced Information Systems Engineering: 25th International Conference …, 2013 | 22 | 2013 |
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 |
Enhancing agile software development in the banking sector—A comprehensive case study at LHV E Scott, F Milani, E Kilu, D Pfahl Journal of Software: Evolution and Process, 2021 | 19 | 2021 |
Why am i waiting? Data-driven analysis of waiting times in business processes K Lashkevich, F Milani, D Chapela-Campa, I Suvorau, M Dumas International Conference on Advanced Information Systems Engineering, 174-190, 2023 | 17 | 2023 |
Data-driven analysis of batch processing inefficiencies in business processes K Lashkevich, F Milani, D Chapela-Campa, M Dumas International Conference on Research Challenges in Information Science, 231-247, 2022 | 15 | 2022 |
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 |
Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain. V Plotnikova, M Dumas, F Milani Research Challenges in Information Science, 55-72, 2021 | 14 | 2021 |