Stefano Beretta
AuthID: R-006-MRE
1
TITLE:  Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes  Full Text
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves ; Roberto Henriques; Daniele Ramazzotti;
PUBLISHED: 2018, SOURCE: COMPLEXITY, VOLUME: 2018
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves ; Roberto Henriques; Daniele Ramazzotti;
PUBLISHED: 2018, SOURCE: COMPLEXITY, VOLUME: 2018
2
TITLE:  Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves ; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: JOURNAL OF COMPUTATIONAL BIOLOGY, VOLUME: 25, ISSUE: 10
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves ; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: JOURNAL OF COMPUTATIONAL BIOLOGY, VOLUME: 25, ISSUE: 10
3
TITLE:  Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Roberto Henriques; Daniele Ramazzotti;
PUBLISHED: 2018, SOURCE: Complex., VOLUME: 2018
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Roberto Henriques; Daniele Ramazzotti;
PUBLISHED: 2018, SOURCE: Complex., VOLUME: 2018
INDEXED IN:  DBLP
 DBLP
 DBLP
 DBLP4
TITLE:  Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: J. Comput. Biol., VOLUME: 25, ISSUE: 10
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: J. Comput. Biol., VOLUME: 25, ISSUE: 10
INDEXED IN:  DBLP
 DBLP
 DBLP
 DBLP5
TITLE:  Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks  PDF
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Merelli; Daniele Ramazzotti;
PUBLISHED: 2017, SOURCE: CoRR, VOLUME: abs/1703.03041
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Merelli; Daniele Ramazzotti;
PUBLISHED: 2017, SOURCE: CoRR, VOLUME: abs/1703.03041
INDEXED IN:  DBLP
 DBLP  arXiv
 arXiv
 DBLP
 DBLP  arXiv
 arXiv6
TITLE:  A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks  PDF
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Daniele Ramazzotti;
PUBLISHED: 2017, SOURCE: CoRR, VOLUME: abs/1704.08676
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Daniele Ramazzotti;
PUBLISHED: 2017, SOURCE: CoRR, VOLUME: abs/1704.08676
INDEXED IN:  DBLP
 DBLP  arXiv
 arXiv
 DBLP
 DBLP  arXiv
 arXiv7
TITLE:  A Machine Learning Approach for the Integration of miRNA-target Predictions
AUTHORS: Stefano Beretta; Mauro Castelli; Yuliana Martinez; Luis Munoz; Sara Silva ; Leonardo Trujillo; Luciano Milanesi; Ivan Merelli;
PUBLISHED: 2016, SOURCE: 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) in 2016 24TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP)
AUTHORS: Stefano Beretta; Mauro Castelli; Yuliana Martinez; Luis Munoz; Sara Silva ; Leonardo Trujillo; Luciano Milanesi; Ivan Merelli;
PUBLISHED: 2016, SOURCE: 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) in 2016 24TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP)
8
TITLE:  Parameterized tractability of the maximum-duo preservation string mapping problem  Full Text
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 646
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 646
INDEXED IN:  WOS
 WOS
 WOS
 WOS9
TITLE:  Erratum: Corrigendum to “Parameterized tractability of the maximum-duo preservation string mapping problem” (Theoretical Computer Science (2016) 646 (16–25) (S0304397516303255) (10.1016/j.tcs.2016.07.011))
AUTHORS: Beretta, S; Castelli, M; Dondi, R;
PUBLISHED: 2016, SOURCE: Theoretical Computer Science, VOLUME: 653
AUTHORS: Beretta, S; Castelli, M; Dondi, R;
PUBLISHED: 2016, SOURCE: Theoretical Computer Science, VOLUME: 653
INDEXED IN:  Scopus
 Scopus
 Scopus
 Scopus10
TITLE:  Parameterized tractability of the maximum-duo preservation string mapping problem (vol 646, pg 16, 2016)  Full Text
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 653
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 653
INDEXED IN:  WOS
 WOS
 WOS
 WOS 
 