Managing computer networks using peer-to-peer technologies. - Lisandro Zambenedetti Granville; Diego Moreira da Rosa; André Panisson; Cristina Melchiors; Maria Janilce Bosquiroli Almeida; Liane Margarida Rockenbach Tarouco (IEEE Commun. Mag., 2005)

Designing the Architecture of P2P-Based Network Management Systems. - André Panisson; Diego Moreira da Rosa; Cristina Melchiors; Lisandro Zambenedetti Granville; Maria Janilce Bosquiroli Almeida; Liane Margarida Rockenbach Tarouco (ISCC, 2006)

Maintenance of Monitoring Systems Throughout Self-healing Mechanisms. - Clarissa Cassales Marquezan; André Panisson; Lisandro Zambenedetti Granville; Giorgio Nunzi; Marcus Brunner (DSOM, 2008)

X-hinter: a framework for implementing social oriented recommender systems. - André Panisson; Giancarlo Ruffo; Rossano Schifanella (Hypertext, 2008)

MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks. - Rossano Schifanella; André Panisson; Cristina Gena; Giancarlo Ruffo (RecSys, 2008)

From Recordings to Recommendations: Suggesting Live Events in the DVR Context. - Alessandro Basso; Marco Milanesio; André Panisson; Giancarlo Ruffo (PRSAT@RecSys, 2010)

A network polling solution through a P2P-based distributed management environment. - Cristina Melchiors; Alessandro H. dos Santos; Dionatan Mattjie; Carlos Raniery Paula dos Santos; André Panisson; Lisandro Zambenedetti Granville; Liane Margarida Rockenbach Tarouco (SAC, 2010)

On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendation. - Alessandro Basso; Marco Milanesio; André Panisson; Giancarlo Ruffo (EC-Web, 2011)

Collaborative Filtering without Explicit Feedbacks for Digital Recorders - Alessandro Basso; Marco Milanesio; André Panisson; Giancarlo Ruffo (CoRR, 2011)

On the dynamics of human proximity for data diffusion in ad-hoc networks. - André Panisson; Alain Barrat; Ciro Cattuto; Wouter Van den Broeck; Giancarlo Ruffo; Rossano Schifanella (Ad Hoc Networks, 2012)

Fingerprinting temporal networks of close-range human proximity. - André Panisson; Laetitia Gauvin; Alain Barrat; Ciro Cattuto (PerCom Workshops, 2013)

Time-varying social networks in a graph database: a Neo4j use case. - Ciro Cattuto; Marco Quaggiotto; André Panisson; Alex Averbuch (GRADES, 2013)

Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach. - Laetitia Gauvin; André Panisson; Ciro Cattuto (CoRR, 2013)

Activity clocks: spreading dynamics on temporal networks of human contact. - Laetitia Gauvin; André Panisson; Ciro Cattuto; Alain Barrat (CoRR, 2013)

Mining Concurrent Topical Activity in Microblog Streams. - André Panisson; Laetitia Gauvin; Marco Quaggiotto; Ciro Cattuto (#MSM, 2014)

Data on face-to-face contacts in an office building suggests a low-cost vaccination strategy based on community linkers. - Mathieu Génois; Christian L. Vestergaard; Julie Fournet; André Panisson; Isabelle Bonmarin; Alain Barrat (CoRR, 2014)

Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition. - Anna Sapienza; André Panisson; Joseph Wu; Laetitia Gauvin; Ciro Cattuto (ICDM Workshops, 2015)

Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach. - Anna Sapienza; André Panisson; Joseph Wu; Laetitia Gauvin; Ciro Cattuto (AALTD@PKDD/ECML, 2015)

Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread. - Laetitia Gauvin; André Panisson; Alain Barrat; Ciro Cattuto (CoRR, 2015)

Unveiling patterns of international communities in a global city using mobile phone data. - Paolo Bajardi; Matteo Delfino; André Panisson; Giovanni Petri; Michele Tizzoni (EPJ Data Sci., 2015)

Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers. - Mathieu Génois; Christian L. Vestergaard; Julie Fournet; André Panisson (Netw. Sci., 2015)

Predicting human mobility through the assimilation of social media traces into mobility models. - Mariano G. Beiró; André Panisson; Michele Tizzoni; Ciro Cattuto (EPJ Data Sci., 2016)

Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors. - Moses C. Kiti; Michele Tizzoni; Timothy M. Kinyanjui; Dorothy C. Koech; Patrick K. Munywoki; Milosch Meriac; Luca Cappa; André Panisson; Alain Barrat; Ciro Cattuto; D. James Nokes (EPJ Data Sci., 2016)

Predicting City Poverty Using Satellite Imagery. - Simone Piaggesi; Laetitia Gauvin; Michele Tizzoni; Ciro Cattuto; Natalia Adler; Stefaan Verhulst; Andrew Young; Rhiannan Price; Leo Ferres; André Panisson (CVPR Workshops, 2019)

Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. - Duilio Balsamo; Paolo Bajardi; André Panisson (WWW, 2019)

Topic Tomographies (TopTom): a visual approach to distill information from media streams. - Beatrice Gobbo; Duilio Balsamo; Michele Mauri; Paolo Bajardi; André Panisson; Paolo Ciuccarelli (Comput. Graph. Forum, 2019)

Generating Realistic Interest-Driven Information Cascades. - Federico Cinus; Francesco Bonchi; Corrado Monti; André Panisson (ICWSM, 2020)

Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. - Francesco Bodria; André Panisson; Alan Perotti; Simone Piaggesi (SEBD, 2020)

Facebook Ads: Politics of Migration in Italy. - Arthur Capozzi; Gianmarco De Francisci Morales; Yelena Mejova; Corrado Monti; André Panisson; Daniela Paolotti (SocInfo, 2020)

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia. - Nicolò Gozzi; Michele Tizzani; Michele Starnini; Fabio Ciulla; Daniela Paolotti; André Panisson; Nicola Perra (CoRR, 2020)

FaiRecSys: mitigating algorithmic bias in recommender systems. - Bora Edizel; Francesco Bonchi; Sara Hajian; André Panisson; Tamir Tassa (Int. J. Data Sci. Anal., 2020)

The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. - Michele Tizzoni; André Panisson; Daniela Paolotti; Ciro Cattuto (PLoS Comput. Biol., 2020)

Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy. - Arthur Capozzi; Gianmarco De Francisci Morales; Yelena Mejova; Corrado Monti; André Panisson; Daniela Paolotti (CHI, 2021)

Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks. - Michele Starnini; Charalampos E. Tsourakakis; Maryam Zamanipour; André Panisson; Walter Allasia; Marco Fornasiero; Laura Li Puma; Valeria Ricci; Silvia Ronchiadin; Angela Ugrinoska; Marco Varetto; Dario Moncalvo (ECML/PKDD (4), 2021)

WoMG: A Library for Word-of-Mouth Cascades Generation. - Federico Cinus; Francesco Bonchi; Corrado Monti; André Panisson (WSDM, 2021)

Developing Annotated Resources for Internal Displacement Monitoring. - Fabio Poletto; Yunbai Zhang; André Panisson; Yelena Mejova; Daniela Paolotti; Sylvain Ponserre (WWW (Companion Volume), 2021)

FairLens: Auditing black-box clinical decision support systems. - Cecilia Panigutti; Alan Perotti; André Panisson; Paolo Bajardi; Dino Pedreschi (Inf. Process. Manag., 2021)

Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate. - Giuseppe Crupi; Yelena Mejova; Michele Tizzani; Daniela Paolotti; André Panisson (ICWSM, 2022)

Effective Higher-Order Link Prediction and Reconstruction From Simplicial Complex Embeddings. - Simone Piaggesi; André Panisson; Giovanni Petri (LoG, 2022)

Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere. - Cesare Rollo; Gianmarco De Francisci Morales; Corrado Monti; André Panisson (SocInfo, 2022)

GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (CoRR, 2022)

Global misinformation spillovers in the online vaccination debate before and during COVID-19. - Jacopo Lenti; Kyriaki Kalimeri; André Panisson; Daniela Paolotti; Michele Tizzani; Yelena Mejova; Michele Starnini (CoRR, 2022)

Time-varying graph representation learning via higher-order skip-gram with negative sampling. - Simone Piaggesi; André Panisson (EPJ Data Sci., 2022)

Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. - Simone Piaggesi; Serena Giurgola; Márton Karsai; Yelena Mejova; André Panisson; Michele Tizzoni (Frontiers Big Data, 2022)

Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project. - Foivos Charalampakos; Thomas Tsouparopoulos; Yiannis Papageorgiou; Guido Bologna; André Panisson; Alan Perotti; Iordanis Koutsopoulos (EuCNC/6G Summit, 2023)

Explaining Identity-aware Graph Classifiers through the Language of Motifs. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (IJCNN, 2023)

The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections. - Arthur Capozzi; Gianmarco De Francisci Morales; Yelena Mejova; Corrado Monti; André Panisson (WWW, 2023)

Evaluating Link Prediction Explanations for Graph Neural Networks. - Claudio Borile; Alan Perotti; André Panisson (xAI (2), 2023)

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. - Francesco Dibitonto; Fabio Garcea; André Panisson; Alan Perotti; Lia Morra (xAI (2), 2023)

Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. - Alan Perotti; Simone Bertolotto; Eliana Pastor; André Panisson (xAI (2), 2023)

Fast and Effective GNN Training with Linearized Random Spanning Trees. - Francesco Bonchi; Claudio Gentile; André Panisson; Fabio Vitale (CoRR, 2023)

Revealing the determinants of gender inequality in urban cycling with large-scale data. - Alice Battiston; Ludovico Napoli; Paolo Bajardi; André Panisson; Alan Perotti; Michael Szell; Rossano Schifanella (EPJ Data Sci., 2023)

Adversarial Online Collaborative Filtering. - Stephen Pasteris; Fabio Vitale; Mark Herbster; Claudio Gentile; André Panisson (ALT, 2024)

LLM-Generated Class Descriptions for Semantically Meaningful Image Classification. - Simone Bertolotto; André Panisson; Alan Perotti (EXPLAINS, 2024)

Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data Evaluation. - Francesco Paolo Nerini; Paolo Bajardi; André Panisson (FAccT, 2024)

Explainability, Quantified: Benchmarking XAI Techniques. - Alan Perotti; Claudio Borile; Arianna Miola; Francesco Paolo Nerini; Paolo Baracco; André Panisson (xAI (1), 2024)

Disentangled and Self-Explainable Node Representation Learning. - Simone Piaggesi; André Panisson; Megha Khosla (CoRR, 2024)

Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction. - Claudio Moroni; Claudio Borile; Carolina Mattsson; Michele Starnini; André Panisson (CoRR, 2024)

A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. - Corrado Monti; Paolo Bajardi; Francesco Bonchi; André Panisson; Alan Perotti (Trans. Mach. Learn. Res., 2024)

DINE: Dimensional Interpretability of Node Embeddings. - Simone Piaggesi; Megha Khosla; André Panisson; Avishek Anand (IEEE Trans. Knowl. Data Eng., 2024)

Fast and Effective GNN Training through Sequences of Random Path Graphs. - Francesco Bonchi; Claudio Gentile; Francesco Paolo Nerini; André Panisson; Fabio Vitale (KDD (1), 2025)

Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks. - Francesco Cozzi; Marco Pangallo; Alan Perotti; André Panisson; Corrado Monti (CoRR, 2025)

Size-adaptive Hypothesis Testing for Fairness. - Antonio Ferrara 003; Francesco Cozzi; Alan Perotti; André Panisson; Francesco Bonchi (CoRR, 2025)