Fast Compression with a Static Model in High-Order Entropy. - Luca Foschini 002; Roberto Grossi; Ankur Gupta 003; Jeffrey Scott Vitter (Data Compression Conference, 2004)

Centralized and Distributed Topology Discovery Service Implementations. - Luca Valcarenghi; Francesco Paolucci; Luca Foschini 002; Filippo Cugini; Piero Castoldi (Hot Interconnects, 2005)

Topology discovery services for monitoring the global grid. - Luca Valcarenghi; Luca Foschini 002; Francesco Paolucci; Piero Castoldi; Filippo Cugini (IEEE Commun. Mag., 2006)

When indexing equals compression: Experiments with compressing suffix arrays and applications. - Luca Foschini 002; Roberto Grossi; Ankur Gupta 003; Jeffrey Scott Vitter (ACM Trans. Algorithms, 2006)

A Parallel Architecture for Stateful, High-Speed Intrusion Detection. - Luca Foschini 002; Ashish V. Thapliyal; Lorenzo Cavallaro; Christopher Kruegel; Giovanni Vigna (ICISS, 2008)

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization. - Marco Cococcioni; Luca Foschini 002; Beatrice Lazzerini; Francesco Marcelloni (SMC, 2008)

TC-SocialRank: Ranking the Social Web. - Antonio Gulli; Stefano Cataudella 003; Luca Foschini 002 (WAW, 2009)

Untangling the Braid: Finding Outliers in a Set of Streams. - Chiranjeeb Buragohain; Luca Foschini 002; Subhash Suri (ALENEX, 2010)

Space-efficient online approximation of time series data: Streams, amnesia, and out-of-order. - Sorabh Gandhi; Luca Foschini 002; Subhash Suri (ICDE, 2010)

The Union of Probabilistic Boxes: Maintaining the Volume. - Hakan Yildiz; Luca Foschini 002; John Hershberger 001; Subhash Suri (ESA, 2011)

Efficiently selecting spatially distributed keypoints for visual tracking. - Steffen Gauglitz; Luca Foschini 002; Matthew Turk 001; Tobias Höllerer (ICIP, 2011)

Efficiently Measuring Bandwidth at All Time Scales. - Frank C. Uyeda; Luca Foschini 002; Fred Baker; Subhash Suri; George Varghese (NSDI, 2011)

Getting the Face Behind the Squares: Reconstructing Pixelized Video Streams. - Ludovico Cavedon; Luca Foschini 002; Giovanni Vigna (WOOT, 2011)

On the Complexity of Time-Dependent Shortest Paths. - Luca Foschini 002; John Hershberger 001; Subhash Suri (Algorithmica, 2014)

Balanced Partitions of Trees and Applications. - Andreas Emil Feldmann; Luca Foschini 002 (Algorithmica, 2015)

Intra-day Activity Better Predicts Chronic Conditions. - Tom Quisel; David C. Kale; Luca Foschini 002 (CoRR, 2016)

Digital Activity Tracker-Based Behavioral Characteristics Associated with Comorbid Mental Health Illness Symptoms Among Individuals With Diabetes. - Shefali Kumar; David Stück; Wei-Nchih Lee; Jessie Juusola; Luca Foschini 002 (AMIA, 2017)

The Spread of Physical Activity Through Social Networks. - David Stück; Haraldur Tómas Hallgrímsson; Greg Ver Steeg; Alessandro Epasto; Luca Foschini 002 (WWW, 2017)

Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. - Haraldur Tómas Hallgrímsson; Filip Jankovic; Tim Althoff; Luca Foschini 002 (CoRR, 2018)

Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity. - Haraldur Tómas Hallgrímsson; Matthew Cieslak; Luca Foschini 002; Scott T. Grafton; Ambuj K. Singh (NeuroImage, 2018)

Reproducibility in Machine Learning for Health. - Matthew B. A. McDermott; Shirly Wang; Nikki Marinsek; Rajesh Ranganath; Marzyeh Ghassemi; Luca Foschini 002 (RML@ICLR, 2019)

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. - Richard Chen 001; Filip Jankovic; Nikki Marinsek; Luca Foschini 002; Lampros Kourtis; Alessio Signorini; Melissa Pugh; Jie Shen; Roy Yaari; Vera Maljkovic; Marc Sunga; Han Hee Song; et al. (KDD, 2019)

Adversarial Examples for Electrocardiograms. - Xintian Han; Yuxuan Hu; Luca Foschini 002; Larry Chinitz; Lior Jankelson; Rajesh Ranganath (CoRR, 2019)

Machine intelligence in healthcare - perspectives on trustworthiness, explainability, usability, and transparency. - Christine M. Cutillo; Karlie R. Sharma; Luca Foschini 002; Shinjini Kundu; Maxine Mackintosh; Kenneth D. Mandl; Tyler Beck; Elaine Collier; Christine Colvis; Kenneth Gersing; Valery Gordon; Roxanne Jensen; et al. (npj Digit. Medicine, 2020)

Self-supervision of wearable sensors time-series data for influenza detection. - Arinbjörn Kolbeinsson; Piyusha Gade; Raghu Kainkaryam; Filip Jankovic; Luca Foschini 002 (CoRR, 2021)

Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial. - Jennifer L. Lee; Luca Foschini 002; S. Kumar; J. Juusola; J. Liska; M. Mercer; C. Tai; R. Buzzetti; M. Clement; X. Cos; L. Ji; N. Kanumilli; et al. (npj Digit. Medicine, 2021)

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. - Allison Shapiro; Nicole Marinsek; Ieuan Clay; Benjamin Bradshaw; Ernesto Ramirez; Jae Min; Andrew Trister; Yuedong Wang; Tim Althoff; Luca Foschini 002 (Patterns, 2021)

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. - Sarah M. Goodday; E. Karlin; A. Brooks; C. Chapman; Daniel R. Karlin; Luca Foschini 002; E. Kipping; M. Wildman; M. Francis; H. Greenman; Li Li 062; Eric E. Schadt; et al. (npj Digit. Medicine, 2022)

Generative models for wearables data. - Arinbjörn Kolbeinsson; Luca Foschini 002 (CoRR, 2023)

Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data. - Sujay Nagaraj; Sarah M. Goodday; Thomas Hartvigsen; Adrien Boch; Kopal Garg; Sindhu C. M. Gowda; Luca Foschini 002; Marzyeh Ghassemi; Stephen H. Friend; Anna Goldenberg (npj Digit. Medicine, 2023)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Luca Foschini 002; Joan Giner-Miguelez; Pieter Gijsbers; Sujata S. Goswami; Nitisha Jain; Michalis Karamousadakis; Michael Kuchnik; Satyapriya Krishna; Sylvain Lesage; et al. (NeurIPS, 2024)