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19922026
most citedMachine Learning in Automated Text Categorization

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Showing 2020Show all

183 papers · 1 filter

cs.NI2020★ 7 cited

Next Generation Opportunistic Networking in Beyond 5G Networks

Baldomero Coll-Perales, Loreto Pescosolido, Javier Gozalvez +2

Beyond 5G networks are expected to support massive traffic through decentralized solutions and advanced networking mechanisms. This paper aims at contributing towards this vision t…

physics.chem-ph2020★ 239 cited

TorchMD: A deep learning framework for molecular simulations

Stefan Doerr, Maciej Majewsk, Adrià Pérez +5

Molecular dynamics simulations provide a mechanistic description of molecules by relying on empirical potentials. The quality and transferability of such potentials can be improved…

cs.HC2020★ 13 cited

Processing of body-induced thermal signatures for physical distancing and temperature screening

Stefano Savazzi, Vittorio Rampa, Leonardo Costa +2

Massive and unobtrusive screening of people in public environments is becoming a critical task to guarantee safety in congested shared spaces, as well as to support early non-invas…

astro-ph.HE2020★ 65 cited

Direct Measurement of the Cosmic-Ray Carbon and Oxygen Spectra from 10 GeV to 2.2 TeV with the Calorimetric Electron Telescope on the International Space Station

O. Adriani, Y. Akaike, K. Asano +81

In this paper, we present the measurement of the energy spectra of carbon and oxygen in cosmic rays based on observations with the Calorimetric Electron Telescope (CALET) on the In…

eess.SY2020

Repairing dynamic models: a method to obtain identifiable and observable reparameterizations with mechanistic insights

Gemma Massonis, Julio R. Banga, Alejandro F. Villaverde

Mechanistic dynamic models allow for a quantitative and systematic interpretation of data and the generation of testable hypotheses. However, these models are often over-parameteri…

q-bio.PE2020★ 3 cited

Epidemic spreading in an expanded parameter space: the supercritical scaling laws and subcritical metastable phases

Gaetano Campi, Antonio Valletta, Andrea Perali +2

So far most of the analysis of coronavirus 2020 epidemic data has been focusing on a short-time window and consequently a quantitative test of statistical physical laws of Coronavi…