Marco Barsacchi
University of Pisa(IT)University of Cambridge(GB)University of Florence(IT)
Publications by Year
Research Areas
Fuzzy Logic and Control Systems, Machine Learning and Data Classification, Historical and Environmental Studies, Face and Expression Recognition, Neural Networks and Applications
Most-Cited Works
- → Comparing ensemble strategies for deep learning: An application to facial expression recognition(2019)59 cited
- → Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach(2019)18 cited
- → An analysis of boosted ensembles of binary fuzzy decision trees(2020)17 cited
- → SwiSpot: modeling riboswitches by spotting out switching sequences(2016)12 cited
- → GEESE: Metabolically driven latent space learning for gene expression data(2018)10 cited
- → Interpretable CNV-based tumour classification using fuzzy rule based classifiers(2018)5 cited
- → Extensive assessment of metrics on RNA secondary structures and relative ensembles(2016)4 cited
- → Multi-class boosting with fuzzy decision trees(2017)4 cited
- → Implicitly distributed fuzzy random forests(2021)1 cited
- → Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs(2019)1 cited