Marco Frasca
Orcid: 0000-0002-4170-0922Affiliations:
- University of Milan, Italy
According to our database1,
Marco Frasca
authored at least 46 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations.
J. Big Data, December, 2024
2023
Neurocomputing, 2023
IEEE Access, 2023
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials.
Proceedings of the Engineering Applications of Neural Networks, 2023
2022
Proceedings of the Current Trends in Web Engineering, 2022
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
2021
Compact representations of convolutional neural networks via weight pruning and quantization.
CoRR, 2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
Bioinform., 2021
Proceedings of the Reproducible Research in Pattern Recognition, 2021
2020
Pattern Recognit. Lett., 2020
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
IEEE Access, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.
BMC Bioinform., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples.
Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, 2019
2018
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction.
CoRR, 2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
BMC Bioinform., 2018
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections.
BMC Bioinform., 2018
Correction to: Evaluating the impact of topological protein features on the negative examples selection.
BMC Bioinform., 2018
Evaluating the impact of topological protein features on the negative examples selection.
BMC Bioinform., 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
Neurocomputing, 2017
Artif. Intell. Medicine, 2017
Analysis of Informative Features for Negative Selection in Protein Function Prediction.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
2016
Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Neural Comput. Appl., 2016
<i>RANKS</i>: a flexible tool for node label ranking and classification in biological networks.
Bioinform., 2016
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services, 2016
2015
J. Comput. Biol., 2015
Automated gene function prediction through gene multifunctionality in biological networks.
Neurocomputing, 2015
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
2014
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.
Bioinform., 2014
2013
A neural network algorithm for semi-supervised node label learning from unbalanced data.
Neural Networks, 2013
A neural network based algorithm for gene expression prediction from chromatin structure.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
2010
Proceedings of the Neural Nets WIRN10, 2010