Federica Bisio

29 papers A* 1B 5C 2Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. OL2A (1) Giovanni Graziano, Daniele Ucci, Federica Bisio, Luca Oneto
2023	J	`jnl`	Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques. J. Cybersecur. Priv. Filippo Sobrero, Beatrice Clavarezza, Daniele Ucci, Federica Bisio
2023	J	`jnl`	Towards a Near-real-time Protocol Tunneling Detector based on Machine Learning Techniques. CoRR Filippo Sobrero, Beatrice Clavarezza, Daniele Ucci, Federica Bisio
2021	—	`conf`	Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. SSCI Daniele Ucci, Filippo Sobrero, Federica Bisio, Matteo Zorzino
2020	J	`jnl`	DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach. CoRR Salvatore Saeli, Federica Bisio, Pierangelo Lombardo, Danilo Massa
2018	J	`jnl`	Fast Flux Detection via Data Mining on Passive DNS Traffic. CoRR Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa
2018	C	`conf`	Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic. ISC Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa
2017	J	`jnl`	Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino
2017	—	`conf`	Real-time behavioral DGA detection through machine learning. ICCST Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa
2017	J	`jnl`	SLT-Based ELM for Big Social Data Analysis. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2017	J	`jnl`	Semi-supervised Learning for Affective Common-Sense Reasoning. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2016	J	`jnl`	Inductive bias for semi-supervised extreme learning machine. Neurocomputing Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
2016	J	`jnl`	SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino
2016	B	`conf`	Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. IJCNN Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio
2016	—	`ch.`	Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework. Sentiment Analysis and Ontology Engineering Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2016	J	`jnl`	Statistical Learning Theory and ELM for Big Social Data Analysis. IEEE Comput. Intell. Mag. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2015	B	`conf`	A learning scheme based on similarity functions for affective common-sense reasoning. IJCNN Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2015	A*	`conf`	AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. AAAI Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria
2015	J	`jnl`	An ELM-based model for affective analogical reasoning. Neurocomputing Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino
2015	—	`conf`	Muscle synergies for reliable classification of arm motions using myoelectric interface. EMBC Chris Wilson Antuvan, Federica Bisio, Erik Cambria, Lorenzo Masia
2015	B	`conf`	Real-time monitoring of Twitter traffic by using semantic networks. ASONAM Federica Bisio, Claudia Meda, Rodolfo Zunino, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano
2015	J	`jnl`	Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. IEEE Comput. Intell. Mag. Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Federica Bisio, Amir Hussain
2015	—	`conf`	The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. CICLing (2) Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi
2014	—	`conf`	A machine learning approach for Twitter spammers detection. ICCST Claudia Meda, Federica Bisio, Paolo Gastaldo, Rodolfo Zunino
2014	—	`conf`	Machine Learning-Based System for Detecting Unseen Malicious Software. ApplePies Federica Bisio, Paolo Gastaldo, Claudia Meda, Stefano Nasta, Rodolfo Zunino
2014	C	`conf`	Semi-supervised machine learning approach for unknown malicious software detection. INISTA Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi
2013	B	`conf`	An analyst-adaptive approach to focused crawlers. ASONAM Rodolfo Zunino, Federica Bisio, Chiara Peretti, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano, Fabio Sangiacomo
2013	B	`conf`	Data intensive review mining for sentiment classification across heterogeneous domains. ASONAM Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria
2012	—	`conf`	A Virtual Museum for Flemish artworks. A digital reconstruction of Genoese collections. VSMM Ilaria Angeloni, Federica Bisio, Alessandro De Gloria, Daniele Mori, Carlotta Capurro, Lauro Magnani