A Virtual Museum for Flemish artworks. A digital reconstruction of Genoese collections. - Ilaria Angeloni; Federica Bisio; Alessandro De Gloria; Daniele Mori; Carlotta Capurro; Lauro Magnani (VSMM, 2012)

Data intensive review mining for sentiment classification across heterogeneous domains. - Federica Bisio; Paolo Gastaldo; Chiara Peretti; Rodolfo Zunino; Erik Cambria (ASONAM, 2013)

An analyst-adaptive approach to focused crawlers. - Rodolfo Zunino; Federica Bisio; Chiara Peretti; Roberto Surlinelli; Eugenio Scillia; Augusto Ottaviano; Fabio Sangiacomo (ASONAM, 2013)

Machine Learning-Based System for Detecting Unseen Malicious Software. - Federica Bisio; Paolo Gastaldo; Claudia Meda; Stefano Nasta; Rodolfo Zunino (ApplePies, 2014)

A machine learning approach for Twitter spammers detection. - Claudia Meda; Federica Bisio; Paolo Gastaldo; Rodolfo Zunino (ICCST, 2014)

Semi-supervised machine learning approach for unknown malicious software detection. - Federica Bisio; Paolo Gastaldo; Rodolfo Zunino; Sergio Decherchi (INISTA, 2014)

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. - Erik Cambria; Jie Fu 001; Federica Bisio; Soujanya Poria (AAAI, 2015)

Real-time monitoring of Twitter traffic by using semantic networks. - Federica Bisio; Claudia Meda; Rodolfo Zunino; Roberto Surlinelli; Eugenio Scillia; Augusto Ottaviano (ASONAM, 2015)

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. - Erik Cambria; Soujanya Poria; Federica Bisio; Rajiv Bajpai; Iti Chaturvedi (CICLing (2), 2015)

Muscle synergies for reliable classification of arm motions using myoelectric interface. - Chris Wilson Antuvan; Federica Bisio; Erik Cambria; Lorenzo Masia (EMBC, 2015)

A learning scheme based on similarity functions for affective common-sense reasoning. - Federica Bisio; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (IJCNN, 2015)

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. - Soujanya Poria; Erik Cambria; Alexander F. Gelbukh; Federica Bisio; Amir Hussain 001 (IEEE Comput. Intell. Mag., 2015)

An ELM-based model for affective analogical reasoning. - Erik Cambria; Paolo Gastaldo; Federica Bisio; Rodolfo Zunino (Neurocomputing, 2015)

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. - Soujanya Poria; Iti Chaturvedi; Erik Cambria; Federica Bisio (IJCNN, 2016)

Statistical Learning Theory and ELM for Big Social Data Analysis. - Luca Oneto; Federica Bisio; Erik Cambria; Davide Anguita (IEEE Comput. Intell. Mag., 2016)

Inductive bias for semi-supervised extreme learning machine. - Federica Bisio; Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino (Neurocomputing, 2016)

SIM-ELM: Connecting the ELM model with similarity-function learning. - Paolo Gastaldo; Federica Bisio; Sergio Decherchi; Rodolfo Zunino (Neural Networks, 2016)

Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework. - Federica Bisio; Claudia Meda; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (Sentiment Analysis and Ontology Engineering, 2016)

Real-time behavioral DGA detection through machine learning. - Federica Bisio; Salvatore Saeli; Pierangelo Lombardo; Davide Bernardi; Alan Perotti; Danilo Massa (ICCST, 2017)

Semi-supervised Learning for Affective Common-Sense Reasoning. - Luca Oneto; Federica Bisio; Erik Cambria; Davide Anguita (Cogn. Comput., 2017)

SLT-Based ELM for Big Social Data Analysis. - Luca Oneto; Federica Bisio; Erik Cambria; Davide Anguita (Cogn. Comput., 2017)

Learning with similarity functions: A novel design for the extreme learning machine. - Paolo Gastaldo; Federica Bisio; Christian Gianoglio; Edoardo Ragusa; Rodolfo Zunino (Neurocomputing, 2017)

Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic. - Pierangelo Lombardo; Salvatore Saeli; Federica Bisio; Davide Bernardi; Danilo Massa (ISC, 2018)

Fast Flux Detection via Data Mining on Passive DNS Traffic. - Pierangelo Lombardo; Salvatore Saeli; Federica Bisio; Davide Bernardi; Danilo Massa (CoRR, 2018)

DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach. - Salvatore Saeli; Federica Bisio; Pierangelo Lombardo; Danilo Massa (CoRR, 2020)

Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. - Daniele Ucci; Filippo Sobrero; Federica Bisio; Matteo Zorzino (SSCI, 2021)

PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. - Giovanni Graziano; Daniele Ucci; Federica Bisio; Luca Oneto (OL2A (1), 2023)

Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques. - Filippo Sobrero; Beatrice Clavarezza; Daniele Ucci; Federica Bisio (J. Cybersecur. Priv., 2023)