144 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre Tecnologic de Telecomunicacions de CatalunyaES3 papers
- Institute for Scientific InterchangeIT2 papers
- Universitat Autònoma de BarcelonaES2 papers
- Universitat Pompeu FabraES2 papers
- University of HelsinkiFI2 papers
- Astronomical Observatory of CapodimonteIT1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Brera Astronomical ObservatoryIT1 paper
- CEA Paris-SaclayFR1 paper
- CEA Paris-Saclay - Etablissement de SaclayFR1 paper
- Centre de physique des particules de MarseilleFR1 paper
- Centre d'Études Spatiales de la BiosphèreFR1 paper
12 papers
A Dynamic Weighted Federated Learning for Android Malware Classification
Ayushi Chaudhuri, Arijit Nandi, Buddhadeb Pradhan
Android malware attacks are increasing daily at a tremendous volume, making Android users more vulnerable to cyber-attacks. Researchers have developed many machine learning (ML)/ d…
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
Francesco Fabbri, Yanhao Wang, Francesco Bonchi +2
Recommender systems typically suggest to users content similar to what they consumed in the past. If a user happens to be exposed to strongly polarized content, she might subsequen…
Descriptors of intrinsic hydrodynamic thermal transport: screening a phonon database in a machine learning approach
Pol Torres, Stephen Wu, Shenghong Ju +4
Machine learning techniques are used to explore the intrinsic origins of the hydrodynamic thermal transport and to find new materials interesting for science and engineering. The h…
A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data
Giovanni De Toni, Cristian Consonni, Alberto Montresor
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Being able to estimate in a fast and re…
Fair and Representative Subset Selection from Data Streams
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
We study the problem of extracting a small subset of representative items from a large data stream. In many data mining and machine learning applications such as social network ana…
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems
Ludovico Boratto, Gianni Fenu, Mirko Marras
Considering the impact of recommendations on item providers is one of the duties of multi-sided recommender systems. Item providers are key stakeholders in online platforms, and th…
Euclid preparation: VII. Forecast validation for Euclid cosmological probes
Euclid Collaboration, A. Blanchard, S. Camera +151
The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. Estimation of…
Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods
Raul Gomez, Lluis Gomez, Jaume Gibert +1
Massive tourism is becoming a big problem for some cities, such as Barcelona, due to its concentration in some neighborhoods. In this work we gather Instagram data related to Barce…
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages
Muhammad Imran, Prasenjit Mitra, Carlos Castillo
Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of…
A Day of Your Days: Estimating Individual Daily Journeys Using Mobile Data to Understand Urban Flow
Eduardo Graells-Garrido, Diego Saez-Trumper
Nowadays, travel surveys provide rich information about urban mobility and commuting patterns. But, at the same time, they have drawbacks: they are static pictures of a dynamic phe…
Enabling Digital Health by Automatic Classification of Short Messages
Muhammad Imran, Patrick Meier, Carlos Castillo +2
In response to the growing HIV/AIDS and other health-related issues, UNICEF through their U-Report platform receives thousands of messages (SMS) every day to provide prevention str…
Exposing the Probabilistic Causal Structure of Discrimination
Francesco Bonchi, Sara Hajian, Bud Mishra +1
Discrimination discovery from data is an important task aiming at identifying patterns of illegal and unethical discriminatory activities against protected-by-law groups, e.g., eth…