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2020 – today
- 2023
[j9]Filippo Sobrero, Beatrice Clavarezza, Daniele Ucci
, Federica Bisio:
Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques. J. Cybersecur. Priv. 3(4): 794-807 (2023)- [c16]Giovanni Graziano, Daniele Ucci, Federica Bisio, Luca Oneto:
PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. OL2A (1) 2023: 123-134 - [i3]Filippo Sobrero, Beatrice Clavarezza, Daniele Ucci, Federica Bisio:
Towards a Near-real-time Protocol Tunneling Detector based on Machine Learning Techniques. CoRR abs/2309.12720 (2023) - 2021
- [c15]Daniele Ucci, Filippo Sobrero, Federica Bisio, Matteo Zorzino:
Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. SSCI 2021: 1-8 - 2020
- [i2]Salvatore Saeli, Federica Bisio, Pierangelo Lombardo, Danilo Massa:
DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach. CoRR abs/2010.01582 (2020)
2010 – 2019
- 2018
- [c14]Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa:
Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic. ISC 2018: 463-480 - [i1]Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa:
Fast Flux Detection via Data Mining on Passive DNS Traffic. CoRR abs/1804.06316 (2018) - 2017
- [j8]Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita:
Semi-supervised Learning for Affective Common-Sense Reasoning. Cogn. Comput. 9(1): 18-42 (2017) - [j7]Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita:
SLT-Based ELM for Big Social Data Analysis. Cogn. Comput. 9(2): 259-274 (2017) - [j6]Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino:
Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing 261: 37-49 (2017) - [c13]Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa:
Real-time behavioral DGA detection through machine learning. ICCST 2017: 1-6 - 2016
- [j5]Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita:
Statistical Learning Theory and ELM for Big Social Data Analysis. IEEE Comput. Intell. Mag. 11(3): 45-55 (2016) - [j4]Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Inductive bias for semi-supervised extreme learning machine. Neurocomputing 174: 154-167 (2016) - [j3]Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino:
SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks 74: 22-34 (2016) - [c12]Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio:
Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. IJCNN 2016: 4465-4473 - [p1]Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework. Sentiment Analysis and Ontology Engineering 2016: 175-197 - 2015
- [j2]Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Federica Bisio, Amir Hussain:
Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. IEEE Comput. Intell. Mag. 10(4): 26-36 (2015) - [j1]Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino:
An ELM-based model for affective analogical reasoning. Neurocomputing 149: 443-455 (2015) - [c11]Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria:
AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. AAAI 2015: 508-514 - [c10]Federica Bisio, Claudia Meda, Rodolfo Zunino, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano:
Real-time monitoring of Twitter traffic by using semantic networks. ASONAM 2015: 966-969 - [c9]Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi:
The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. CICLing (2) 2015: 3-22 - [c8]Chris Wilson Antuvan, Federica Bisio, Erik Cambria, Lorenzo Masia:
Muscle synergies for reliable classification of arm motions using myoelectric interface. EMBC 2015: 1136-1139 - [c7]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
A learning scheme based on similarity functions for affective common-sense reasoning. IJCNN 2015: 1-6 - 2014
- [c6]Federica Bisio, Paolo Gastaldo, Claudia Meda, Stefano Nasta, Rodolfo Zunino:
Machine Learning-Based System for Detecting Unseen Malicious Software. ApplePies 2014: 9-15 - [c5]Claudia Meda, Federica Bisio, Paolo Gastaldo, Rodolfo Zunino:
A machine learning approach for Twitter spammers detection. ICCST 2014: 1-6 - [c4]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi:
Semi-supervised machine learning approach for unknown malicious software detection. INISTA 2014: 52-59 - 2013
- [c3]Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria:
Data intensive review mining for sentiment classification across heterogeneous domains. ASONAM 2013: 1061-1067 - [c2]Rodolfo Zunino, Federica Bisio, Chiara Peretti, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano, Fabio Sangiacomo:
An analyst-adaptive approach to focused crawlers. ASONAM 2013: 1073-1077 - 2012
- [c1]Ilaria Angeloni, Federica Bisio, Alessandro De Gloria, Daniele Mori, Carlotta Capurro, Lauro Magnani:
A Virtual Museum for Flemish artworks. A digital reconstruction of Genoese collections. VSMM 2012: 607-610
Coauthor Index
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