IRUS-ANZ has moved. From January 2022, new monthly statistics will only be added to the IRUS R5 service. This site is archived. All statistics up to December 2021 will remain available on this site.
| Author | Identifier | Number of Items | Total Downloads |
|---|---|---|---|
| La Rosa, M |  https://orcid.org/0000-0001-9568-4035 |
11 | 2109 |
| Title | Author(s) | IrusType | Repository | Item URL | Total Downloads |
|---|---|---|---|---|---|
| Detecting sudden and gradual drifts in business processes from execution traces | orcid:0000-0001-9568-4035; Maaradji, A; Dumas, M; Rosa, ML; Ostovar, A | Article | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/198394 | 198 |
| Fundamentals of Business Process Management | orcid:0000-0001-9568-4035; Dumas, M; La Rosa, M; Mendling, J; Reijers, HA | Book | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/198383 | 40 |
| Indexing and Efficient Instance-Based Retrieval of Process Models Using Untanglings | orcid:0000-0002-7672-1643; orcid:0000-0001-9568-4035; Polyvyanyy, A; La Rosa, M; ter Hofstede, AHM | Conference Proceedings | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/209077 | 48 |
| Predicting process performance: A white-box approach | orcid:0000-0002-8782-2407; orcid:0000-0001-9568-4035; Verenich, I; Dumas, M; La Rosa, M; Nguyen, H; ter Hofstede, A | Report | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/217139 | 92 |
| Predictive Business Process Monitoring with LSTM Neural Networks | orcid:0000-0002-8782-2407; orcid:0000-0001-9568-4035; Tax, N; Verenich, I; La Rosa, M; Dumas, M | Conference Proceedings | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/217119 | 53 |
| Predictive Process Monitoring in Apromore | orcid:0000-0002-8782-2407; orcid:0000-0001-9568-4035; Verenich, I; Mõškovski, S; Raboczi, S; Dumas, M; La Rosa, M; Maggi, FM | Conference Proceedings | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/210450 | 307 |
| Split miner: automated discovery of accurate and simple business process models from event logs | orcid:0000-0001-7970-5246; orcid:0000-0002-4980-3192; orcid:0000-0001-9568-4035; orcid:0000-0002-7672-1643; Augusto, A; Conforti, R; Dumas, M; La Rosa, M; Polyvyanyy, A | Article | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/212326 | 215 |
| Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs | orcid:0000-0001-7970-5246; orcid:0000-0002-4980-3192; orcid:0000-0001-9568-4035; Augusto, A; Conforti, R; Dumas, M; La Rosa, M; Polyvyanyy, A | Conference Proceedings | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/212325 | 249 |
| Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring | orcid:0000-0002-8782-2407; orcid:0000-0001-9568-4035; Verenich, I; Dumas, M; La Rosa, M; Maggi, F; Teinemaa, I | Report | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/217124 | 251 |
| The 4C spectrum of fundamental behavioral relations for concurrent systems | orcid:0000-0002-7672-1643; orcid:0000-0002-4980-3192; orcid:0000-0001-9568-4035; Polyvyanyy, A; Weidlich, M; Conforti, R; La Rosa, M; Ter Hofstede, AHM | Conference Proceedings | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/209078 | 88 |
| Timestamp Repair for Business Process Event Logs | orcid:0000-0002-4980-3192; orcid:0000-0001-9568-4035; Conforti, R; La Rosa, M; ter Hofstede, A | Report | University of Melbourne [Minerva Access] | http://hdl.handle.net/11343/209011 | 568 |
