People

Laetitia Emilie Gauvin

Research Leader

Fields of study:
Modelling of socio-economic systems, statistical physics, complex systems, machine learning

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (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 Vol 21, No 4 (2019)

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

A. Panisson, L. E. Gauvin, M. Quaggiotto, C. Cattuto

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

Fingerprinting temporal networks of close-range human proximity

A. Panisson, L. E. Gauvin, A. Barrat, C. Cattuto

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

Network Science

People

Laetitia Emilie Gauvin

Research Leader

Publications

Predicting City Poverty Using Satellite Imagery

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

Change points, memory and epidemic spreading in temporal networks

Estimating the outcome of spreading processes on networks with incomplete information: A dimensionality reduction approach

User-based representation of time-resolved multimodal public transportation networks

Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition

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

Mining Concurrent Topical Activity in Microblog Streams

Detecting the Community Structure and Activity Patterns of Temporal Networks: A Non-Negative Tensor Factorization Approach

Activity clocks: spreading dynamics on temporal networks of human contact

Modeling urban housing market dynamics : can the socio-spatial segregation preserve some social diversity

Fingerprinting temporal networks of close-range human proximity

ISI Foundation