IoT for Telemedicine Practices enabled by an Android (TM) Application with Cloud System Integration

Publications associées (27)

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Textual Explanations and Critiques in Recommendation Systems

Diego Matteo Antognini

Artificial intelligence and machine learning algorithms have become ubiquitous. Although they offer a wide range of benefits, their adoption in decision-critical fields is limited by their lack of interpretability, particularly with textual data. Moreover, ...

EPFL2022

Quantitative assessment of research data management practice - 2021

Francesco Varrato, Chiara Gabella, Eliane Ninfa Blumer

This survey aims to investigate research data management practices at EPFL and integrate their results into specific academic services. The previous two editions, in collaboration with TU Delft, Cambridge University and Illinois University, were carried ou ...

2022

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Vincent Gramoli

There is an increasing interest in a fast-growing machine learning technique called Federated Learning (FL), in which the model training is distributed over mobile user equipment (UEs), exploiting UEs' local computation and training data. Despite its advan ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Falls Efficacy Is Associated With Better Gait and Functional Outcomes After Rehabilitation in Older Patients

Kamiar Aminian

Objective: To examine the relationship between falls efficacy and the change in gait speed and functional status in older patients undergoing postacute rehabilitation. ...

W B SAUNDERS CO-ELSEVIER INC2021

Leaking Secrets Through Compressed Caches

Daniel Felipe Forero Sanchez

We offer the first security analysis of cache compression, a promising architectural technique that is likely to appear in future mainstream processors. We find that cache compression has novel security implications because the compressibility of a cache l ...

IEEE COMPUTER SOC2021

Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Dimitri Nestor Alice Van De Ville, Nawal Noëlle Kinany, Maxime Descoteaux, Christian Büchel, Maryam Seif

In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject da ...

NATURE PORTFOLIO2021

Relative stability toward diffeomorphisms indicates performance in deep nets

Matthieu Wyart, Alessandro Favero, Mario Geiger, Leonardo Petrini

Understanding why deep nets can classify data in large dimensions remains a challenge. It has been proposed that they do so by becoming stable to diffeomorphisms, yet existing empirical measurements support that it is often not the case. We revisit this qu ...

2021

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W B SAUNDERS CO-ELSEVIER INC2021