Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. - Antonella Mensi; Manuele Bicego; Pietro Lovato; Marco Loog; David M. J. Tax (S+SSPR, 2018)

A Novel Anomaly Score for Isolation Forests. - Antonella Mensi; Manuele Bicego (ICIAP (1), 2019)

A dissimilarity-based multiple instance learning approach for protein remote homology detection. - Antonella Mensi; Manuele Bicego; Pietro Lovato; Marco Loog; David M. J. Tax (Pattern Recognit. Lett., 2019)

Proximity Isolation Forests. - Antonella Mensi; Manuele Bicego; David M. J. Tax (ICPR, 2020)

An Alternative Exploitation of Isolation Forests for Outlier Detection. - Antonella Mensi; Alessio Franzoni; David M. J. Tax; Manuele Bicego (S+SSPR, 2020)

RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification. - Antonella Mensi; Simona Schiavi; Maria Petracca; Nicole Graziano; Alessandro Daducci; Matilde Inglese; Manuele Bicego (CIBB, 2021)

Enhanced anomaly scores for isolation forests. - Antonella Mensi; Manuele Bicego (Pattern Recognit., 2021)

Using Random Forest Distances for Outlier Detection. - Antonella Mensi; Ferdinando Cicalese; Manuele Bicego (ICIAP (3), 2022)

Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem. - Manuele Bicego; Antonella Mensi (CoRR, 2023)

RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model. - Manuele Bicego; Ferdinando Cicalese; Antonella Mensi (IEEE Trans. Knowl. Data Eng., 2023)

Detecting outliers from pairwise proximities: Proximity isolation forests. - Antonella Mensi; David M. J. Tax; Manuele Bicego (Pattern Recognit., 2023)