Raphael Espanha
AuthID: R-00J-GBM
1
TITLE: Fraud Detection using Heavy Hitters: a Case Study. a case study
AUTHORS: Veloso, B ; Martins, C; Espanha, R; Azevedo, R; Gama, J ;
PUBLISHED: 2020, SOURCE: 35th Annual ACM Symposium on Applied Computing (SAC) in PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)
AUTHORS: Veloso, B ; Martins, C; Espanha, R; Azevedo, R; Gama, J ;
PUBLISHED: 2020, SOURCE: 35th Annual ACM Symposium on Applied Computing (SAC) in PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)
2
TITLE: A case study on using heavy-hitters in interconnect bypass fraud Full Text
AUTHORS: Bruno Veloso ; João Gama; Carlos Martins; Raphael Espanha; Raul Azevedo;
PUBLISHED: 2020, SOURCE: ACM SIGAPP Applied Computing Review, VOLUME: 20, ISSUE: 3
AUTHORS: Bruno Veloso ; João Gama; Carlos Martins; Raphael Espanha; Raul Azevedo;
PUBLISHED: 2020, SOURCE: ACM SIGAPP Applied Computing Review, VOLUME: 20, ISSUE: 3
INDEXED IN: 
CrossRef
CrossRef3
TITLE: Combining Image and Non-image Clinical Data: An Infrastructure that Allows Machine Learning Studies in a Hospital Environment
AUTHORS: Raphael Espanha; Frank Thiele; Georgy Shakirin; Jens Roggenfelder; Sascha Zeiter; Pantelis Stavrinou; Victor Alves; Michael Perkuhn;
PUBLISHED: 2019, SOURCE: 15th International Conference on Distributed Computing and Artificial Intelligence (DCAI) in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 800
AUTHORS: Raphael Espanha; Frank Thiele; Georgy Shakirin; Jens Roggenfelder; Sascha Zeiter; Pantelis Stavrinou; Victor Alves; Michael Perkuhn;
PUBLISHED: 2019, SOURCE: 15th International Conference on Distributed Computing and Artificial Intelligence (DCAI) in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 800
INDEXED IN: 
Scopus 
WOS
Scopus WOS4
TITLE: Detecting Bursts of Activity in Telecommunications PDF
AUTHORS: Bruno Veloso ; Carlos Martins; Raphael Espanha; Raul Azevedo; João Gama ;
PUBLISHED: 2019, SOURCE: 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2019 in Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019., VOLUME: 2579
AUTHORS: Bruno Veloso ; Carlos Martins; Raphael Espanha; Raul Azevedo; João Gama ;
PUBLISHED: 2019, SOURCE: 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2019 in Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019., VOLUME: 2579
INDEXED IN: Scopus 
DBLP
Scopus DBLP