activity
20182023
most citedA Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

34 citations · 41 across the 3 of their papers we have counts for

collaborators

5 papers

hep-ex2023★ 34 cited

A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

M. F. Albakry, I. Alkhatib, D. Alonso +130

We present a new analysis of previously published of SuperCDMS data using a profile likelihood framework to search for sub-GeV dark matter (DM) particles through two inelastic scat…

cs.CL2022★ 4 cited

Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods

Bram van Es, Leon C. Reteig, Sander C. Tan +5

As structured data are often insufficient, labels need to be extracted from free text in electronic health records when developing models for clinical information retrieval and dec…

hep-ex2022★ 3 cited

A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

SuperCDMS Collaboration, Musaab Al-Bakry, Imran Alkhatib +128

In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering chan…

cs.CL2018

Latent Variable Model for Multi-modal Translation

Iacer Calixto, Miguel Rios, Wilker Aziz

In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent…

cs.CL2018

Deep Generative Model for Joint Alignment and Word Representation

Miguel Rios, Wilker Aziz, Khalil Sima'an

This work exploits translation data as a source of semantically relevant learning signal for models of word representation. In particular, we exploit equivalence through translatio…