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Publications

Gender gaps in urban mobility

L. E. Gauvin, M. Tizzoni, S. Piaggesi, A. Young, N. Adler, S. G. Verhulst, L. Ferres, C. Cattuto
Humanities and Social Sciences Communications 7/11 (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)

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)

The effect of age, environment and management on social contact patterns in sheep

L. Ozella, J. Langford, L. E. Gauvin, E. Price, C. Cattuto, D. P. Croft
Applied Animal Behaviour Science 225, 104964 (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)

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)

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)

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)

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)

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)

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)

Mining Concurrent Topical Activity in Microblog Streams

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

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)