Emmanuel de Salis

15 papers Journal 4Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Exploring the Early Universe with Deep Learning.
EPIA (1)
Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
2025 J jnl
Exploring the Early Universe with Deep Learning.
CoRR
Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
2023 J jnl
A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving.
IEEE Access
Marine Capallera, Quentin Meteier, Emmanuel de Salis, Marino Widmer, Leonardo Angelini, Stefano Carrino, Andreas Sonderegger, Omar Abou Khaled, Elena Mugellini
2023 — conf
Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving.
IHM
Quentin Meteier, Marine Capallera, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini, Andreas Sonderegger
2022 — conf
Keyword Extraction in Scientific Documents.
SwissText
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Sandra Mitrovic, Emmanuel de Salis, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang
2022 J jnl
Keyword Extraction in Scientific Documents.
CoRR
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrovic, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang
2021 — conf
Clustering of Drivers' State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning.
IHIET (Paris)
Emmanuel de Salis, Quentin Meteier, Colin Pelletier, Marine Capallera, Leonardo Angelini, Andreas Sonderegger, Omar Abou Khaled, Elena Mugellini, Marino Widmer, Stefano Carrino
2021 J jnl
Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression.
Frontiers Comput. Sci.
Quentin Meteier, Emmanuel de Salis, Marine Capallera, Marino Widmer, Leonardo Angelini, Omar Abou Khaled, Andreas Sonderegger, Elena Mugellini
2020 — conf
Designing an AI-Companion to Support the Driver in Highly Autonomous Cars.
HCI (2)
Emmanuel de Salis, Marine Capallera, Quentin Meteier, Leonardo Angelini, Omar Abou Khaled, Elena Mugellini, Marino Widmer, Stefano Carrino
2020 — conf
The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness.
AutomotiveUI
Quentin Meteier, Marine Capallera, Emmanuel de Salis, Andreas Sonderegger, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini
2019 — conf
Can we predict driver distraction without driver psychophysiological state?: a feasibility study on noninvasive distraction detection in manual driving.
AutomotiveUI (adjunct)
Emmanuel de Salis, Dan Yvan Baumgartner, Stefano Carrino
2019 — conf
Owner Manuals Review and Taxonomy of ADAS Limitations in Partially Automated Vehicles.
AutomotiveUI
Marine Capallera, Quentin Meteier, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini
2019 — conf
Secondary task and situation awareness, a mobile application for conditionally automated vehicles.
AutomotiveUI (adjunct)
Marine Capallera, Emmanuel de Salis, Quentin Meteier, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini
2019 — conf
Secondary task and situation awareness, a mobile application for semi-autonomous vehicle.
IHM
Marine Capallera, Quentin Meteier, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini
2019 — conf
Workshop on explainable AI in automated driving: a user-centered interaction approach.
AutomotiveUI (adjunct)
Quentin Meteier, Marine Capallera, Leonardo Angelini, Elena Mugellini, Omar Abou Khaled, Stefano Carrino, Emmanuel de Salis, Stéphane Galland, Susanne Boll