André Panisson

Publications

A. Perotti, C. Borile, A. Miola, F. P. Nerini, P. Baracco, A. Panisson. Explainability, Quantified: Benchmarking XAI Techniques. In: Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2153. (2024) DOI

S. Piaggesi, M. Khosla, A. Panisson and A. Anand, DINE: Dimensional Interpretability of Node Embeddings. In IEEE Transactions on Knowledge and Data Engineering. (2024) DOI

C. Monti, P. Bajardi, F. Bonchi, A. Panisson, A. Perotti. A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. Transactions on Machine Learning Research. (2024) PDF

F. P. Nerini, P. Bajardi, A. Panisson. Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data Evaluation. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). (2024) DOI

S. Pasteris, F. Vitale, M. Herbster, C. Gentile, A. Panisson. Adversarial Online Collaborative Filtering. In Proceedings of the 35th International Conference on Algorithmic Learning Theory (AALT 2024), PMLR 237:945-971. (2024)

A. Battiston, L. Napoli, P. Bajardi, A. Panisson, A. Perotti, M. Szell, R. Schifanella. Revealing the determinants of gender inequality in urban cycling with large-scale data. EPJ Data Science. 12(1): 9 (2023)

C. Borile, A. Perotti, A. Panisson. Evaluating Link Prediction Explanations for Graph Neural Networks. In: Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1902. (2023)

F. Dibitonto, F. Garcea, A. Panisson, A. Perotti, L. Morra, L. HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. In: Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1902. (2023)

A. Perotti, S. Bertolotto, E. Pastor, A. Panisson. Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. In: Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1902, 525-548. (2023)

A. Perotti, P. Bajardi, F. Bonchi, A. Panisson. Explaining Identity-aware Graph Classifiers through the Language of Motifs. Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN). (2023)

J. Lenti, Y. Mejova, K. Kalimeri, A. Panisson, D. Paolotti, M. Tizzani, M. Starnini. Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study. JMIR Infodemiology. 2023 May 24;3:e44714. (2023)

A. Capozzi, G. D. F. Morales, Y Mejova, C Monti, and A. Panisson. The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections. In Proceedings of the ACM Web Conference 2023 (WWW '23). (2023)

S. Piaggesi, A. Panisson, & G. Petri. Effective Higher-order Link Prediction and Reconstruction from Simplicial Complex Embeddings. In Learning on Graphs Conference (pp. 55-1). PMLR. (2022)

S. Piaggesi & A. Panisson. Time-varying graph representation learning via higher-order skip-gram with negative sampling. EPJ Data Science, 11(1), 33. (2022)

C. Rollo, G. De Francisci Morales, C. Monti, & A. Panisson. Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere. In Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings (pp. 3-19). (2022)

G. Crupi, Y. Mejova, M. Tizzani, D. Paolotti, and A. Panisson. Echoes through time: Evolution of the italian covid-19 vaccination debate. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 16, pp. 102-113). (2022)

S. Giurgola, S. Piaggesi, M. Karsai, Y. Mejova, A. Panisson & M. Tizzoni. Mapping urban socioeconomic inequalities in developing countries through facebook advertising data. Frontiers in big Data, 5. (2021)

C. Panigutti, A. Perotti, A. Panisson, P. Bajardi, & D. Pedreschi. FairLens: Auditing black-box clinical decision support systems. Information Processing & Management, 58(5), 102657. (2021)

E. G. Amparore, F. Cinus, C. Maestri, L. Petrocchi, D. Polinelli, F. Scarpa, A. Perotti, A. Panisson, P. Bajardi. Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach, 2021 IEEE Madrid PowerTech, pp. 1-6. (2021)

M. Starnini, C. E. Tsourakakis, M Zamanipour, A. Panisson, W. Allasia, M. Fornasiero, L. Li Puma, V. Ricci, S. Ronchiadin, A. Ugrinoska, M. Varetto, D. Moncalvo. Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham. (2021)

A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, & D. Paolotti. Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-15). (2021)

F. Poletto, Y. Zhang, A. Panisson, Y. Mejova, D. Paolotti, & S. Ponserre. Developing Annotated Resources for Internal Displacement Monitoring. In Companion Proceedings of the Web Conference 2021 (pp. 136-144). (2021)

A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, & D. Paolotti. Facebook Ads: Politics of Migration in Italy. In International Conference on Social Informatics (pp. 43-57). (2020)

N. Gozzi, M. Tizzani, M. Starnini, F. Ciulla, D. Paolotti, A. Panisson, & N. Perra. Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis. Journal of medical Internet research, 22(10), e21597. (2020)

F. Cinus, F. Bonchi, C. Monti, A. Panisson. Generating Realistic Interest-Driven Information Cascades. In Proc. of the International AAAI Conference on Web and Social Media (Vol. 14, pp. 107-118). (2020)

M. Tizzoni, A. Panisson, D. Paolotti, C. Cattuto. The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. PLoS computational biology 16 (3), e1007633 (2020)

B. Edizel, F. Bonchi, S. Hajian, A. Panisson, T. Tassa. FaiRecSys: Mitigating algorithmic bias in recommender systems. International Journal of Data Science and Analytics, 9(2), 197-213. (2020)

D. Balsamo, P. Bajardi, A. Panisson. Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. In Proceedings of the 2019 World Wide Web Conference. (2019)

S. Piaggesi, L. Gauvin, M. Tizzoni, C. Cattuto, N. Adler, S. Verhulst, A. Panisson. Predicting City Poverty Using Satellite Imagery. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 90-96). (2019)

B. Gobbo, D. Balsamo, M. Mauri, P. Bajardi, A. Panisson, P. Ciuccarelli. Topic Tomographies (TopTom): a visual approach to distill information from media streams. In Computer Graphics Forum (Vol. 38, No. 3, pp. 609-621). (2019)

L. Ozella, L. Gauvin, L. Carenzo, M. Quaggiotto, P.L. Ingrassia, M. Tizzoni, A. Panisson, D. Colombo, A. Sapienza, K. Kalimeri, F. Della Corte, C. Cattuto. Wearable proximity sensors for monitoring a mass casualty incident exercise: a feasibility study. Journal of medical internet research 21 (4), e12251 (2019) PDF

M Tizzoni, A Panisson, D Paolotti, C Cattuto The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. bioRxiv, 346411 (2018). DOI

MC Kiti, M Tizzoni, TM Kinyanjui, DC Koech, PK Munywoki, M Meriac, L Cappa, A Panisson, A Barrat, C Cattuto, DJ Nokes Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors. EPJ data science 5 (1), 21 20 (2016). DOI

MG Beiró, A Panisson, M Tizzoni, C Cattuto. Predicting human mobility through the assimilation of social media traces into mobility models. EPJ Data Science 5:30 (2016). DOI

A. Sapienza, A. Panisson, J. Wu, L. Gauvin, C. Cattuto. Detecting anomalies in time-varying networks using tensor decomposition. Proc. 5th IEEE ICDM Workshop on Data Mining in Networks (2015). DOI

A. Sapienza, A. Panisson, J. Wu, L. Gauvin, C. Cattuto. Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach. Proc. 1st International Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2015), (2015). PDF

P. Bajardi, M. Delfino, A. Panisson, G. Petri, M. Tizzoni. Unveiling patterns of international communities in a global city using mobile phone data. EPJ Data Science 4, no. 1 (2015): 1-17. DOI

L. Gauvin, A. Panisson, A. Barrat, C. Cattuto. Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread. arXiv preprint arXiv:1501.02758(2015). arXiv:1501.02758

A. Panisson, L. Gauvin, M. Quaggiotto, C. Cattuto. Mining Concurrent Topical Activity in Microblog Streams. Proc. of the the 4th Workshop on Making Sense of Microposts, co-located with the 23rd Intl. World Wide Web Conference (WWW 2014), Seoul, Korea, April 2014 (Best Paper Award). arXiv:1403.1403

L. Gauvin, A. Panisson, C. Cattuto. Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach. PLOS ONE 9.1 (2014): e86028. DOI

L. Gauvin, A. Panisson, C. Cattuto, A. Barrat. Activity clocks: spreading dynamics on temporal networks of human contact. Scientific Reports, v. 3, p. 3099, 2013. DOI

C. Cattuto, M. Quaggiotto, A. Panisson, A. Averbuch. Time-varying social networks in a graph database. In: First International Workshop on Graph Data Management Experiences and Systems - GRADES '13. New York: ACM Press, 2013. DOI

A. Panisson, L. Gauvin, A. Barrat, C. Cattuto. Fingerprinting temporal networks of close-range human proximity. Intl. Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (PerMoby 2013), March 18 2013, San Diego, CA. DOI

A. Panisson, A. Barrat, C. Cattuto, G. Ruffo, R. Schifanella. On the Dynamics of Human Proximity for Data Diffusion in Ad-Hoc Networks. Ad Hoc Networks, Special Issue on Social-Based routing in Mobile and Delay-Tolerant Netwoks, Volume 10, Issue 8, November 2012, Pages 1532–1543. DOI arXiv:1106.5992v1

Melchiors, Cristina, Dionatan Teixeira Mattjie, Carlos Raniery Paula dos Santos, André Panisson, Lisandro Zambenedetti Granville and Liane Margarida Rockenbach Tarouco. A P2P-Based Strongly Distributed Network Polling Solution. Advancements in Distributed Computing and Internet Technologies: Trends and Issues. IGI Global, 2012. 289-313.

A. Basso, M. Milanesio, A. Panisson, G. Ruffo On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendation. In Proc. of the 12th International Conference on Electronic Commerce and Web Technologies (EC-Web 2011), Toulouse, France, August 29 - September 2, 2011.

A. Basso, M. Milanesio, A. Panisson. From Recordings to Recommendations: Suggesting Live Events in the DVR Context. In Proc. of the International Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies (RECSYS 2010), Barcelona, Spain, 30 September 2010.

A. Basso, M. Milanesio, A. Panisson. Social Aspects of Video Recording. In Proc. of the Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB10), Leicester, UK, 29 March - 1 April 2010.

C. Melchiors, A. H. dos Santos, D. Mattjie, C. R. dos Santos, A. Panisson, L. Z. Granville, L. M. Tarouco. A network polling solution through a P2P-based distributed management environment. In Proceedings of the 2010 ACM Symposium on Applied Computing (Sierre, Switzerland, March 22 - 26, 2010). SAC '10. ACM, New York, NY, 729-730.

R. Schifanella, A. Panisson, C. Gena and G. Ruffo. MobHinter: Epidemic Collaborative Filtering and Self-Organization in Mobile Ad-Hoc Networks, in the 2nd ACM Intern. Conf. on Recommender Systems 2008 (RecSys 2008), October 23-25, 2008, Lausanne, Switzerland. ACM Press.

Marquezan C. C., Panisson, A, Granville, L. Z., Nunzi, G., Brunner, M. Maintenance of Monitoring Systems Throughout Self-Healing Mechanisms. Proceedings of the 19th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM 2008), 22-26 September 2008, Samos Island, Greece, ISBN: 978-3-540-85999-4, pp. 176-188

Panisson, A., Ruffo, G., and Schifanella, R. X-hinter: a framework for implementing social oriented recommender systems. In Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia (Pittsburgh, PA, USA, June 19 - 21, 2008). HT '08. ACM, New York, NY, p. 235-236. PDF

Panisson, A. ; Rosa, D. M. ; Melchiors, C. ; Granville, L. Z. ; Almeida, M. J. B. ; Tarouco, L. M. R. . Designing the Architecture of P2P-Based Network Management Systems. In: IEEE Symposium on Computers and Communications (ISCC 2006), 2006, Pula-Cagliari. Proceedings of the 2006 IEEE Symposium on Computers and Communications (ISCC 2006). p. 69-75. PDF

Granville, L. Z. ; Rosa, D. M. ; Panisson, A. ; Melchiors, C. ; Almeida, M. J. B. ; Tarouco, L. M. R. . Managing Computer Networks Using Peer-to-Peer Technologies. IEEE Communications Magazine, v. 43, n. 10, p. 62-68, 2005. PDF

Panisson, A. ; Almeida, M. J. B. ; Tarouco, L. M. R. ; Granville, L. Z. . Implementação de um Algoritmo para Busca em Redes Peer-to-Peer. (Implementation of a Search Algorithm for P2P Networks) In: Proc. of the Brazilian Workshop on Peer-to-Peer Systems (WP2P-SBRC2005), 2005, Fortaleza. v. 1. p. 25-36, 2005. PDF

Panisson, A.; Vianna, R. L. ; Alves, R. S.; Rochol, J. Segurança em Redes Ópticas: Tipos de Ataques e Métodos de Detecção (Security in Optical Networks: Attacks and Detection Methods). In: 2nd Regional School in Computer Networks (ERRC 2004), 2004, Canoas. Proceedings. p. 103-108

PhD thesis at University of Turin
Selective Information Disseminationfor Mobile Computing
PDF

Master thesis at UFRGS (portuguese)
Load Distribution in a P2P-Based Network Management System
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Graduation work at UFRGS (portuguese)
Implementação de um Algoritmo de Busca com Controle de Tráfego Distribuído e Adaptação de Topologia para Redes Peer-to-Peer Baseadas na Plataforma JXTA
PDF | ZIP

Projects

SocioPatterns– Interdisciplinary research project that adopts a data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity. It do so by developing and deploying an experimental social interaction sensing platform. This platform consists of portable sensing device and software tools for aggregating, analyzing and visualizing the resulting data.

Datainterfaces Datainterfaces is a collaborative laboratory that aims to experiment with the development of interfaces and formats for the communication of data-rich scenarios. The laboratory stems from the collaboration between the Data Science Laboratory at ISI Foundation, the Communication Design Research Unit at the INDACO/Design Dept. of the Politecnico di Milano and the ARCS Group at the University of Torino.

IS4.MOBI – Interactive Services for Mobiles (2010-12): A Finpiemonte-funded project for the implementation of a demonstrative platform that can enable the rapid development of accessible and multi-platform services for different mobile devices. UniTo is part of a consortium that includes also three industrial partners (Ooros, ATON, Telecom Italia), and one research center (ISMB – Istituto Superiore Mario Boella). The part of the project under the responsibility of ARCS addresses epidemic diffusion of information on mobile devices.

SALC – Services à la Carte (2010-11): A Finpiemonte-funded project, under “Polo ICT” framework, focused on configuring and managing user-driven media services. UniTo is part of a consortium that includes also two industrial partners (commITworld s.r.l., Cedeo sas). The part of the project under the responsibility of ARCS group addresses recommendation issues as well as a methodology for the analysis of user’s tagging activities.

Truthy (Collaborator)– Truthy is a system to analyze and visualize the diffusion of information on Twitter. The Truthy system evaluates thousands of tweets an hour to identify new and emerging bursts of activity around memes of various flavors. The data and statistics provided by Truthy are designed to aid in the study of social epidemics.

Great Minds (Think Alike) (Collaborator)– a word association game for iPhone©, iPad© and iPod Touch© that lets users build semantic concept networks and explore relations between people, tags, places, and media content.

Google Summer of Code 2010 In April 2010, a project proposal with the Gephi development team has been accepted for the Google Summer of Code program. The program is the best way for students around the world to start contributing to an open-source project. Gephi's project aims to bring the perfect tool for visualizing and manipulating networks, focusing on usability, performance and modularity. The project timeline started at May 24 2010 and ended at August 16 2010.

RD-PVR: Recommendation & Discovery for Personal Video Recording The goal of this project is to use events discretization combined with a collaborative filtering approach to make good predictions of user's registrations, in the Personal Video Recording services domain. The approach is based on the analysis of real data generated by the Faucet PVR system, integrated in a web-based podcasting.

DeHinter DeHinter is a Peer-to-Peer (P2P) recommender system that exploits social filtering techniques in order to implement a fully decentralized resource sharing platform. The system provides to users a way to share, search and retrieve contents in a scalable, flexible and efficient way. The spontaneous relationships between users that show similar interests shape highly connected thematic clusters that can be exploited to provide personalized advices. DeHinter's goal is to reduce the impact of the information overload provinding a decentralized, autonomous and efficient way to filter contents exploiting social-oriented phenomena.

GigaManP2P The management of long distance backbones based on high speed optical networks requires new solutions for challenging tasks. For instance, operators and users located at different administrative domains must communicate with each other in order to configure and monitor agreed quality of service levels. This project proposes a novel peer-to-peer (P2P) management architecture for optical networks, focused initially on the new RNP Giga backbone. In the proposed architecture, peers provide, in a ubiquitous fashion, management information to modules that interface with both the optical infrastructure and network users.

graph-streaming - Repository for the Gephi GraphStreaming plugin

pygephi_graphstreaming - Python scripts to be used with the Gephi Graph Streaming Plugin

pymobility - Python library library for simulation of mobility and contact models.

elephant-bird pull request - My small contributions to the Elephant Bird library.

ncp.py - Nonnegative Tensor Factorization, based on the Matlab source code available at Jingu Kim's home page.