Word Sense Disambiguation using a Bidirectional LSTM. - Mikael Kågebäck; Hans Salomonsson (CogALex@COLING, 2016)

LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. - Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel Jiménez-González; Carlos Álvarez 001; Behzad Salami 001; Sergi Madonar; Miquel Pericàs; Pedro Trancoso; et al. (CF, 2018)

LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. - Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel Jiménez-González; Carlos Álvarez 001; Behzad Salami 001; Sergi Madonar; Miquel Pericàs; Pedro Trancoso; et al. (SAMOS, 2018)

A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines. - Mukund Subramaniyan; Anders Skoogh; Hans Salomonsson; Pramod Bangalore; Jon Bokrantz (Comput. Ind. Eng., 2018)

Bayesian optimization in ab initio nuclear physics. - Andreas Ekström; Christian Forssén; Christos Dimitrakakis; Devdatt P. Dubhashi; Håkan T. Johansson; Azam Sheikh Muhammad; Hans Salomonsson; Alexander Schliep (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; S. Nabavi; Sergi Madonar; et al. (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; Seyed Saber Nabavi Larimi; Sergi Madonar; et al. (DATE, 2020)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (DATE, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (CoRR, 2022)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence. - Joakim Lindén; Andreas Ermedahl; Hans Salomonsson; Masoud Daneshtalab; Björn Forsberg; Paris Carbone (DATE, 2024)