André Panisson

Orcid: 0000-0002-3336-0374

According to our database1, André Panisson authored at least 55 papers between 2005 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 


Online presence:



Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data Evaluation.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Adversarial Online Collaborative Filtering.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Revealing the determinants of gender inequality in urban cycling with large-scale data.
EPJ Data Sci., December, 2023

DINE: Dimensional Interpretability of Node Embeddings.
CoRR, 2023

Fast and Effective GNN Training with Linearized Random Spanning Trees.
CoRR, 2023

Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers.
Proceedings of the Explainable Artificial Intelligence, 2023

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers.
Proceedings of the Explainable Artificial Intelligence, 2023

Evaluating Link Prediction Explanations for Graph Neural Networks.
Proceedings of the Explainable Artificial Intelligence, 2023

The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections.
Proceedings of the ACM Web Conference 2023, 2023

Explaining Identity-aware Graph Classifiers through the Language of Motifs.
Proceedings of the International Joint Conference on Neural Networks, 2023

Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data.
Frontiers Big Data, 2022

Time-varying graph representation learning via higher-order skip-gram with negative sampling.
EPJ Data Sci., 2022

Global misinformation spillovers in the online vaccination debate before and during COVID-19.
CoRR, 2022

GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers.
CoRR, 2022

Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere.
Proceedings of the Social Informatics - 13th International Conference, 2022

Effective Higher-Order Link Prediction and Reconstruction From Simplicial Complex Embeddings.
Proceedings of the Learning on Graphs Conference, 2022

Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

FairLens: Auditing black-box clinical decision support systems.
Inf. Process. Manag., 2021

Developing Annotated Resources for Internal Displacement Monitoring.
Proceedings of the Companion of The Web Conference 2021, 2021

WoMG: A Library for Word-of-Mouth Cascades Generation.
Proceedings of the WSDM '21, 2021

Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic.
PLoS Comput. Biol., 2020

FaiRecSys: mitigating algorithmic bias in recommender systems.
Int. J. Data Sci. Anal., 2020

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia.
CoRR, 2020

Facebook Ads: Politics of Migration in Italy.
Proceedings of the Social Informatics - 12th International Conference, 2020

Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Generating Realistic Interest-Driven Information Cascades.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Topic Tomographies (TopTom): a visual approach to distill information from media streams.
Comput. Graph. Forum, 2019

Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort.
Proceedings of the World Wide Web Conference, 2019

Predicting City Poverty Using Satellite Imagery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.
EPJ Data Sci., 2016

Predicting human mobility through the assimilation of social media traces into mobility models.
EPJ Data Sci., 2016

Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers.
Netw. Sci., 2015

Unveiling patterns of international communities in a global city using mobile phone data.
EPJ Data Sci., 2015

Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread.
CoRR, 2015

Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Data on face-to-face contacts in an office building suggests a low-cost vaccination strategy based on community linkers.
CoRR, 2014

Mining Concurrent Topical Activity in Microblog Streams.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Activity clocks: spreading dynamics on temporal networks of human contact.
CoRR, 2013

Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach.
CoRR, 2013

Time-varying social networks in a graph database: a Neo4j use case.
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013

Fingerprinting temporal networks of close-range human proximity.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013

On the dynamics of human proximity for data diffusion in ad-hoc networks.
Ad Hoc Networks, 2012

Collaborative Filtering without Explicit Feedbacks for Digital Recorders
CoRR, 2011

On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendation.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

A network polling solution through a P2P-based distributed management environment.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

From Recordings to Recommendations: Suggesting Live Events in the DVR Context.
Proceedings of the Workshop on the Practical Use of Recommender Systems, 2010

MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

X-hinter: a framework for implementing social oriented recommender systems.
Proceedings of the HYPERTEXT 2008, 2008

Maintenance of Monitoring Systems Throughout Self-healing Mechanisms.
Proceedings of the Managing Large-Scale Service Deployment, 2008

Designing the Architecture of P2P-Based Network Management Systems.
Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

Managing computer networks using peer-to-peer technologies.
IEEE Commun. Mag., 2005