Marco Barsacchi

According to our database, Marco Barsacchi authored at least 9 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Implicitly distributed fuzzy random forests.

Marco Barsacchi, Alessio Bechini, Francesco Marcelloni

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

An analysis of boosted ensembles of binary fuzzy decision trees.

Marco Barsacchi, Alessio Bechini, Francesco Marcelloni

Expert Syst. Appl., 2020

2019

Comparing ensemble strategies for deep learning: An application to facial expression recognition.

Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni

Expert Syst. Appl., 2019

Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach.

Marco Barsacchi, Alessio Bechini, Pietro Ducange, Francesco Marcelloni

Cogn. Comput., 2019

2018

Interpretable CNV-based tumour classification using fuzzy rule based classifiers.

Mattia Ricatto, Marco Barsacchi, Alessio Bechini

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs.

Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017

Multi-class boosting with fuzzy decision trees.

Marco Barsacchi, Alessio Bechini, Francesco Marcelloni

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

SwiSpot: modeling riboswitches by spotting out switching sequences.

Marco Barsacchi, Eva Maria Novoa, Manolis Kellis, Alessio Bechini

Bioinform., 2016

Extensive assessment of metrics on RNA secondary structures and relative ensembles.

Marco Barsacchi, Andrea Baù, Alessio Bechini

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016