Federica Bisio

According to our database1, Federica Bisio authored at least 28 papers between 2012 and 2023.

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Bibliography

2023
Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques.
J. Cybersecur. Priv., November, 2023

PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

2021
Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach.
CoRR, 2020

2018
Fast Flux Detection via Data Mining on Passive DNS Traffic.
CoRR, 2018

Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic.
Proceedings of the Information Security - 21st International Conference, 2018

2017
Learning with similarity functions: A novel design for the extreme learning machine.
Neurocomputing, 2017

SLT-Based ELM for Big Social Data Analysis.
Cogn. Comput., 2017

Semi-supervised Learning for Affective Common-Sense Reasoning.
Cogn. Comput., 2017

Real-time behavioral DGA detection through machine learning.
Proceedings of the International Carnahan Conference on Security Technology, 2017

2016
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural Networks, 2016

Inductive bias for semi-supervised extreme learning machine.
Neurocomputing, 2016

Statistical Learning Theory and ELM for Big Social Data Analysis.
IEEE Comput. Intell. Mag., 2016

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
An ELM-based model for affective analogical reasoning.
Neurocomputing, 2015

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns.
IEEE Comput. Intell. Mag., 2015

A learning scheme based on similarity functions for affective common-sense reasoning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Muscle synergies for reliable classification of arm motions using myoelectric interface.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

Real-time monitoring of Twitter traffic by using semantic networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semi-supervised machine learning approach for unknown malicious software detection.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

A machine learning approach for Twitter spammers detection.
Proceedings of the International Carnahan Conference on Security Technology, 2014

Machine Learning-Based System for Detecting Unseen Malicious Software.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2014

2013
An analyst-adaptive approach to focused crawlers.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Data intensive review mining for sentiment classification across heterogeneous domains.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
A Virtual Museum for Flemish artworks. A digital reconstruction of Genoese collections.
Proceedings of the 18th International Conference on Virtual Systems and Multimedia, 2012


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