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ORCIDDenise Maria Vecino Sato
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Journal Articles
- 2022
[j3]Denise Maria Vecino Sato
, Sheila Cristiana De Freitas, Jean Paul Barddal, Edson Emílio Scalabrin:
A Survey on Concept Drift in Process Mining. ACM Comput. Surv. 54(9): 189:1-189:38 (2022)- 2020
- [j2]Denise Maria Vecino Sato, Letícia K. Mantovani, Juliana Safanelli, Vanessa Guesser, Vivian Nagel, Carla H. C. Moro, Norberto L. Cabral, Edson Emílio Scalabrin, Claudia Maria Cabral Moro, Eduardo Alves Portela Santos:
Ischemic stroke: Process perspective, clinical and profile characteristics, and external factors. J. Biomed. Informatics 111: 103582 (2020) - 2019
- [j1]Cleiton dos Santos Garcia, Alex Meincheim, Elio Ribeiro Faria Junior, Marcelo Rosano Dallagassa, Denise Maria Vecino Sato, Deborah Ribeiro Carvalho, Eduardo Alves Portela Santos, Edson Emílio Scalabrin:
Process mining techniques and applications - A systematic mapping study. Expert Syst. Appl. 133: 260-295 (2019)
Conference and Workshop Papers
- 2022
- [c11]Caio Raduy, Denise Maria Vecino Sato, Eduardo A. Franciscon, Edson Emílio Scalabrin:
A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis. ICAISC (2) 2022: 141-151 - 2021
- [c10]Denise Maria Vecino Sato, Jean Paul Barddal, Edson Emílio Scalabrin:
Interactive Process Drift Detection Framework. ICAISC (2) 2021: 192-204 - 2020
- [c9]Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Marcelo Rosano Dallagassa, Edson Emílio Scalabrin, Eduardo A. P. Portela, Deborah Ribeiro Carvalho:
Conformance checking with different levels of granularity : A case study on bariatric surgery. CISP-BMEI 2020: 820-826 - 2018
- [c8]Viviane Dal Molin de Souza, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Lucas Fabre, Edson Emílio Scalabrin, Bráulio Coelho Ávila, André Pinz Borges:
A Case Study Approach to Automatic Driving Train Using CBR with Differential Evolution. SMC 2018: 3631-3636 - 2016
- [c7]Viviane Dal Molin de Souza, André Pinz Borges, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
Automatic knowledge learning using Case-Based Reasoning: A case study approach to automatic train conduction. IJCNN 2016: 4579-4585 - 2015
- [c6]Denise Maria Vecino Sato, André Pinz Borges, Peter Márton, Edson Emílio Scalabrin:
I-DCOP: Train Classification Based on an Iterative Process Using Distributed Constraint Optimization. ICCS 2015: 2297-2306 - [c5]André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Fabrício Enembreck, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
Efficient approach for reusing and sharing train driving plans using case-based reasoning. SAC 2015: 505-508 - 2014
- [c4]André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin, Richardson Ribeiro:
A multi-layer architecture proposal for conducting trains employing CBR. CSCWD 2014: 23-28 - 2013
- [c3]Osmar Betazzi Dordal, André Pinz Borges, Denise Maria Vecino Sato, Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila:
An Intelligent System for train overtaking using distributed coordination. IECON 2013: 3329-3334 - 2012
- [c2]Marcos R. da Silva, André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
An architecture of BDI agent for autonomous locomotives controller. CSCWD 2012: 22-29 - [c1]André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
An intelligent system for driving trains using Case-Based Reasoning. SMC 2012: 1694-1699
Informal and Other Publications
- 2021
- [i1]Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jean Paul Barddal, Edson Emílio Scalabrin:
A Survey on Concept Drift in Process Mining. CoRR abs/2112.02000 (2021)
Coauthor Index
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