Federica Bisio

1.1k total citations
22 papers, 673 citations indexed

About

Federica Bisio is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Federica Bisio has authored 22 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Federica Bisio's work include Machine Learning and ELM (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Network Security and Intrusion Detection (6 papers). Federica Bisio is often cited by papers focused on Machine Learning and ELM (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Network Security and Intrusion Detection (6 papers). Federica Bisio collaborates with scholars based in Italy, Singapore and Mexico. Federica Bisio's co-authors include Erik Cambria, Soujanya Poria, Rodolfo Zunino, Paolo Gastaldo, Jie Fu, Davide Anguita, Luca Oneto, Iti Chaturvedi, Alexander Gelbukh and Amir Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.

In The Last Decade

Federica Bisio

22 papers receiving 653 citations

Peers

Countries citing papers authored by Federica Bisio

Since Specialization

Citations

This map shows the geographic impact of Federica Bisio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Federica Bisio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Bisio more than expected).

Fields of papers citing papers by Federica Bisio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Bisio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Federica Bisio. The network helps show where Federica Bisio may publish in the future.

Co-authorship network of co-authors of Federica Bisio

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Bisio. A scholar is included among the top collaborators of Federica Bisio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federica Bisio. Federica Bisio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Daniele Ucci, Federica Bisio	1
2	Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques 2021 ·2021 IEEE Symposium Series on Computational Intelligence (SSCI) ·Daniele Ucci, (unknown), Federica Bisio, (unknown)	3
3	Real-time behavioral DGA detection through machine learning 2017 ·Federica Bisio, (unknown), (unknown), (unknown), Alan Perotti, (unknown)	21
4	Learning with similarity functions: A novel design for the extreme learning machine 2017 ·Neurocomputing ·Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino	14
5	Role of Muscle Synergies in Real-Time Classification of Upper Limb Motions using Extreme Learning Machines 2016 ·Journal of NeuroEngineering and Rehabilitation ·Chris Wilson Antuvan, Federica Bisio, Francesca Marini, Shih‐Cheng Yen, Erik Cambria, Lorenzo Masia	43
6	Semi-supervised Learning for Affective Common-Sense Reasoning 2016 ·Cognitive Computation ·Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita	17
7	Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis 2016 ·Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio	111
8	Statistical Learning Theory and ELM for Big Social Data Analysis 2016 ·IEEE Computational Intelligence Magazine ·Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita	88
9	Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns 2015 ·IEEE Computational Intelligence Magazine ·Soujanya Poria, Erik Cambria, Alexander Gelbukh, Federica Bisio, Amir Hussain	94
10	Real-time monitoring of Twitter traffic by using semantic networks 2015 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·Federica Bisio, (unknown), Rodolfo Zunino, (unknown), (unknown), (unknown)	4
11	A learning scheme based on similarity functions for affective common-sense reasoning 2015 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria	5
12	SIM-ELM: Connecting the ELM model with similarity-function learning 2015 ·Neural Networks ·Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino	10
13	Inductive bias for semi-supervised extreme learning machine 2015 ·Neurocomputing ·Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino	8
14	Muscle synergies for reliable classification of arm motions using myoelectric interface 2015 ·PubMed ·Chris Wilson Antuvan, Federica Bisio, Erik Cambria, Lorenzo Masia	4
15	Semi-supervised machine learning approach for unknown malicious software detection 2014 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi	4
16	A machine learning approach for Twitter spammers detection 2014 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·(unknown), Federica Bisio, Paolo Gastaldo, Rodolfo Zunino	16
17	An ELM-based model for affective analogical reasoning 2014 ·Neurocomputing ·Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino	77
18	An analyst-adaptive approach to focused crawlers 2013 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·Rodolfo Zunino, Federica Bisio, (unknown), (unknown), (unknown), (unknown), (unknown)	3
19	Data intensive review mining for sentiment classification across heterogeneous domains 2013 ·National University of Singapore ·Federica Bisio, Paolo Gastaldo, (unknown), Rodolfo Zunino, Erik Cambria	11
20	A Virtual Museum for Flemish artworks. A digital reconstruction of Genoese collections 2012 ·(unknown), Federica Bisio, Alessandro De Gloria, (unknown), (unknown), (unknown)	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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