Ada – Advanced Algorithms for an Artificial Data Analyst
Beschreibung
Ada - the Artificial Data Analyst - raises the productivity of data science endeavours by applying data science to itself: we apply empirical optimization also to algorithm and feature selection. Recent developments, e.g. from the MIT, are thus made available as a data product for Swiss industry.
Eckdaten
Projektleitung
Projektteam
Lukas Tuggener, Katharina Rombach, Mohammadreza Amirian, Dr. Fernando Benites de Azevedo e Souza
Projektpartner
PricewaterhouseCoopers PwC AG (Zürich); Ecole polytechnique fédérale de Lausanne EPFL / Machine Learning and Optimization Laboratory
Projektstatus
abgeschlossen, 10/2017 - 12/2019
Institut/Zentrum
Institut für Informatik (InIT); Centre for Artificial Intelligence (CAI)
Drittmittelgeber
KTI-Projekt / Projekt Nr. 25948.1 PFES-ES
Projektvolumen
935'000 CHF
Publikationen
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Two to trust : AutoML for safe modelling and interpretable deep learning for robustness
2021 Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter; Schwenker, Friedhelm; Stadelmann, Thilo
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Design patterns for resource-constrained automated deep-learning methods
2020 Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar; Schilling, Frank-Peter; Stadelmann, Thilo
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Automated machine learning in practice : state of the art and recent results
2019 Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia; Westermann, Christian; Stadelmann, Thilo
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Efficient deep CNNs for cross-modal automated computer vision under time and space constraints
2019 Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo
School of Engineering
Technikumstrasse 71
8400 Winterthur