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Publications

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

L. Bisi, L. Sabbioni, E. Vittori, M. Papini, M. Restelli
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) (2020)

Learning Opinion Dynamics From Social Traces

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ©ACM, August 23-27, 2020, San Diego, CA, USA (2020)

Generating Realistic Interest-Driven Information Cascades

Proceedings of The 14th International AAAI Conference on Web and Social Media (ICWSM 2020) ©AAAI, June 8-11, 2020, Atlanta, Georgia, USA (2020)

The Effect of Homophily on DisparateVisibility of Minorities in People Recommender Systems

F. Fabbri, F. Bonchi, L. Boratto, C. Castillo
Proceedings of The 14th International AAAI Conference on Web and Social Media (ICWSM 2020) ©AAAI, June 8-11, 2020, Atlanta, Georgia, USA (2020)

Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit

Proceedings of The 12th International ACM Conference on Web Science (WebSci 2020) ©ACM, July 7-10, 2020, Southampton, UK (2020)

Explainable Classification of Brain Networks via Contrast Subgraphs

T. Lanciano, F. Bonchi, A. Gionis
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ACM, August 23-27, 2020, San Diego, CA, USA (2020)

Falling into the Echo Chamber: The Italian Vaccination Debate on Twitter

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media 14(1) (2020)

Query-Efficient Correlation Clustering

WWW '20: Proceedings of The Web Conference 2020 (2020)

FaiRecSys: mitigating algorithmic bias in recommender systems

B. Edizel, F. Bonchi, S. Hajian, A. Panisson, T. Tassa
International Journal of Data Science and Analytics 9 (2020)

Fair-by-design matching

Data Mining and Knowledge Discovery 34 / 4 (2020)

Doctor XAI: An ontology-based approach to black-box sequential data classification explanations

C. Panigutti, A. Perotti, D. Pedreschi
Conference on Fairness, Accountability, and Transparency (FAT* 2020) (2020)

Quantitative and Ontology-Based Comparison of Explanations for Image Classification

V. Ghidini, A. Perotti, R. Schifanella
International Conference on Machine Learning, Optimization, and Data Science LNCS 11943 (2020)

Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications

E. Galimberti, F. Bonchi, F. Gullo, T. Lanciano
ACM Transactions on Knowledge Discovery from Data 11 (2020)

Temporal betweenness centrality in dynamic graphs

I. Tsalouchidou, R. Baeza-Yates, F. Bonchi, K. Liao, T. Sellis
International Journal of Data Science and Analytics 9 (2020)

Visualizing structural balance in signed networks

E. Galimberti, C. Madeddu, F. Bonchi, G. Ruffo
International Conference on Complex Networks and Their Applications (2019)

Discovering Polarized Communities in Signed Networks

F. Bonchi, E. Galimberti, A. Gionis, B. Ordozgoiti, G. Ruffo
CIKM '19 Proceedings of the 28th ACM International Conference on Information and Knowledge Management (2019)

Predicting the Role of Political Trolls in Social Media

A. Atanasov, G. De Francisci Morales, P. Nakov
CoNLL ’19: Conference on Computational Natural Language Learning (2019)

Finding events in temporal networks: segmentation meets densest subgraph discovery

F. Bonchi, P. Rozenshtein, A. Gionis, M. Sozio, N. Tatti
Knowledge and Information Systems (2019)

Quantifying Uncertainty in Online Regression Forests

T. Vasiloudis, G. De Francisci Morales, H. Boström
Journal of Machine Learning Research 20(155) (2019)

Predicting City Poverty Using Satellite Imagery

S. Piaggesi, L. E. Gauvin, M. Tizzoni, C. Cattuto, N. Adler, S. Verhulst, A. Young, R. Price, L. Ferres, A. Panisson
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2019)

Topic Tomographies (TopTom): a visual approach to distill information from media streams

B. Gobbo, D. Balsamo, M. Mauri, P. Bajardi, A. Panisson, P. Ciuccarelli
Eurographics Conference on Visualization (EuroVis) 2019 38, 3 (2019)

Distance-generalized Core Decomposition

F. Bonchi, K. Arijit, L. Severini
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)

The Responsibility Challenge for Data

H. Jagadish, F. Bonchi, T. Eliassi-Rad, L. Getoor, K. Gummadi, J. Stoyanovich
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)

Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study

L. Ozella, L. E. Gauvin, L. Carenzo, M. Quaggiotto, P. L. Ingrassia, M. Tizzoni, A. Panisson, D. Colombo, A. Sapienza, K. Kalimeri, F. Della Corte, C. Cattuto
Journal of Medical Internet Research 21, 4 e12251 (2019)

Correction to: Exposing the probabilistic causal structure of discrimination

F. Bonchi, S. Hajian, B. Mishra, D. Ramazzotti
International Journal of Data Science and Analytics 3:1–21 (2019)

Modeling Urban Traffic Data Through Graph-Based Neural Networks

V. Pinto, A. Perotti, T. Cerquitelli
Conference paper - INNS Big Data and Deep Learning conference 1 (2019)

Link Prediction via Higher-Order Motif Features

G. Abuoda, G. De Francisci Morales, A. Aboulnaga
ECMLPKDD '19: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2019)

Distance-Based Community Search (Invited Talk Extended Abstract)

In Proceedings of International Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2019) 11376 (2019)

Topological Data Analysis of Biomedical Big Data

A. Phinyomark, G. Petri, E. Ibañez Marcelo
Signal Processing and Machine Learning for Biomedical Big Data. CRC Press, 2018 (2018)

Topology highlights mesoscopic functional equivalence between imagery and perception

G. Petri, E. Ibañez Marcelo, L. Campioni, A. Phinyomark, E. Santarcangelo
International Journal of Phychophysiology 131 S27-S28 (2018)

Summarizing Graphs at Multiple Scales: New Trends

D. Koutra, J. Vreeken, F. Bonchi
IEEE International Conference on Data Mining (ICDM) 1097-1097 (2018)

Finding events in temporal networks: Segmentation meets densest-subgraph discovery

P. Rozenshtein, F. Bonchi, A. Gionis, M. Sozio, N. Tatti
2018 IEEE International Conference on Data Mining (ICDM) (2018)

Scalable dynamic graph summarization

I. Tsalouchidou, F. Bonchi, G. De Francisci Morales, R. Baeza-Yates
IEEE Transactions on Knowledge and Data Engineering 32 (2018)

Mining (maximal) span-cores from temporal networks

E. Galimberti, C. Cattuto, A. Barrat, F. Gullo, F. Bonchi
CIKM2018 (2018)

Probabilistic Causal Analysis of Social Influence

F. Bonchi, F. Gullo, B. Mishra, D. Ramazzotti
CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (2018)

Understanding Network Traffic States using Transfer Learning

P. Krishnakumari, A. Perotti, V. Pinto, O. Cats, H. Van Lint
21st International Conference on Intelligent Transportation Systems (ITSC) (2018)

Deep Learning for Computer Vision: A practitioner’s viewpoint

Workshop at IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2018)

Invited papers from the ACM conference on hypertext and social media

F. Bonchi, P. Dolog, D. Helic, P. Vojtas
New Review of Hypermedia and Multimedia 24/2 (2018)

Analysis of big data in gait biomechanics: current trends and future direction

A. Phinyomark, G. Petri, E. Ibañez Marcelo, S.T. Osis, R. Ferber
Journal of medical and biological engineering. 38:2 (2018)

Uncertain Graph Sparsification

P. Parchas, N. Papailiou, D. Papadias, F. Bonchi
IEEE Transactions on Knowledge and Data Engineering (2018)

Conditional Reliability in Uncertain Graphs

A. Khan, F. Bonchi, F. Gullo, A. Nufer
IEEE Transactions on Knowledge and Data Engineering (2018)

Revenue Maximization in Incentivized Social Advertising

C. Aslay, F. Bonchi, L. V. Lakshmanan, W. Lu
Proceedings of the 43rd International Conference on Very Large Databases (VLDB) (2017)

Navigating features: a topologically informed chart of electromyographic features space

A. Phinyomark, E. Ibañez Marcelo, A. Patania, E. Scheme, G. Petri
Journal of The Royal Society Interface 14 (137) (2017)

Secure Centrality Computation Over Multiple Networks

G. Asharov, F. Bonchi, D. Garcia-Soriano, T. Tassa
Proceeding WWW '17 Proceedings of the 26th International Conference on World Wide Web (2017)

Efficient Methods for Influence-Based Network-Oblivious Community Detection

N. Barbieri, F. Bonchi
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey Paper, Special Issue: Intelligent Music Systems and Applications and Regular Papers Volume 8 Issue 2 (2016)

Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery

F. Bonchi, I. Bordino, F. Gullo, G. Stilo
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2016) CIEEE October 13-16, 2016, Omaha, Nebraska, USA. (2016)

Algorithmic bias: from discrimination discovery to fairness-aware data mining

S. Hajian, F. Bonchi, C. Castillo
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016) CACM August 13-17, 2016, San Francisco, California. (2016)

Streaming Tensor Summarization

I. Tsalouchidou, G. De Francisci Morales, F. Bonchi, R. Baeza-Yates
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016) CIEEE December 5-8, 2016, Washington D.C., USA. (2016)

Spheres of Influence for More Effective Viral Marketing

Proceedings of the 2016 ACM SIGMOD Conference (SIGMOD 2016) CACM June 26 - July 1, 2016, San Francisco, CA, USA. (2016)

Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors

M. Kiti, M. Tizzoni, T. M. Kinyanjui, D. C. Koech, P. K. Munywoki, M. Meriac, L. Cappa, A. Panisson, A. Barrat, C. Cattuto, J. Nokes
EPJ Data Science 20165:21 (2016)

Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms

Proceedings of the 25th International World Wide Web Conference (WWW 2016) CACM April 11-15, 2016, Montreal, Canada. (2016)

Individual privacy in social influence networks

S. Hajian, T. Tassa, F. Bonchi
Social Network Analysis and Mining 6:2 (2016)

Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition

A. Sapienza, A. Panisson, J. Wu, L. E. Gauvin, C. Cattuto
2015 IEEE International Conf. on Data Mining Workshop (ICDMW) (2015)

Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach

A. Sapienza, A. Panisson, J. Wu, L. E. Gauvin, C. Cattuto
Proceedings of AALTD 117 (2015)

Association between Recruitment Methods and Attrition in Internet-Based Studies

P. Bajardi, D. Paolotti, A. Vespignani, K. Eames, S. Funk, J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C. Koppeschaar, A. Franco, V. Faustino, A. Carnahan, M. Rehn, F. Merletti, J. Douwes, R. Firestone, L. Richiardi
PLoS ONE 9 (12) (2014)

Mining Concurrent Topical Activity in Microblog Streams

Proceedings of the 4th workshop on \'Making Sense of Microposts\', World Wide Web Conference 2014 (2014)

On the Use of Human Mobility Proxies for Modeling Epidemics

M. Tizzoni, P. Bajardi, A. Decuyper, G. Kon Kam King, C. M. Schneider, V. Blondel, Z. Smoreda, M. C. González, V. Colizza
PLoS Comput Biol 10(7) (2014)

Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet

P. Bajardi, A. Vespignani, S. Funk, K. Eames, J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C. Koppeschaar, A. Franco, V. Faustino, A. Carnahan, M. Rehn, D. Paolotti
J Med Internet Res 16, 3 (2014)

Time-varying social networks in a graph database: a Neo4j use case

Proceeding GRADES \'13 First International Workshop on Graph Data Management Experiences and Systems Article No. 11 (2013)

Fingerprinting temporal networks of close-range human proximity

Proceedings of the International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (San Diego) (2013)

Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm

M. Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Gonçalves, N. Perra, V. Colizza, A. Vespignani
BMC Medicine 10:165 (2012)

Optimizing surveillance for livestock disease spreading through animal movements

P. Bajardi, A. Barrat, L. Savini, V. Colizza
Journal of the Royal Society: Interface doi: 10.1098/rsif.2012.0289 (2012)

On the dynamics of human proximity for data diffusion in ad-hoc networks

A. Panisson, A. Barrat, C. Cattuto, W. Van den Broeck, G. Ruffo, R. Schifanella
Ad Hoc Networks 10, 9 (2012)

Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic

P. Bajardi, C. Poletto, J. J. Ramasco, M. Tizzoni, V. Colizza, A. Vespignani
PLoS ONE 6(1): e16591 (2011)

Dynamical patterns of cattle trade movements

P. Bajardi, A. Barrat, F. Natale, L. Savini, V. Colizza
PLoS ONE 6(5): e19869 (2011)

Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model

V. Colizza, A. Vespignani, N. Perra, C. Poletto, B. Gonçalves, H. Hu, D. Balcan, D. Paolotti, W. Van den Broeck, M. Tizzoni, P. Bajardi, J. J. Ramasco
Public Library of Science Currents: Influenza. RRN1129 (2009)

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility

D. Balcan, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
BMC Medicine 7:45 (2009)

Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic

D. Balcan, V. Colizza, A. Singer, C. Chouaid, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J. J. Ramasco, N. Perra, M. Tizzoni, D. Paolotti, W. Van den Broeck, A. Valleron, A. Vespignani
PLoS Curr.: Influenza 1133 (2009)

Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere

P. Bajardi, C. Poletto, D. Balcan, H. Hu, B. Gonçalves, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
Emerging Health Threats Journal 2:e11 (2009)