Rezultaty Websites, patent fillings, videos etc. (1) AI4EMS online content AI4EMS online content. The project content will be divide in a public section and a restricted area (accessible only to the project participants and the EC officers allocated to the project) for uploading and downloading of all of the project reports and documents. Publikacje Peer reviewed articles (1) Machine learning as a supportive tool to recognize cardiac arrest in emergency calls Autorzy: Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, Helle Collatz Christensen, Christian Torp-Pedersen, Michael R. Sayre, Catherine R. Counts, Freddy K. Lippert Opublikowane w: Resuscitation, Issue 138, 2019, Page(s) 322-329, ISSN 0300-9572 Wydawca: Elsevier BV DOI: 10.1016/j.resuscitation.2019.01.015 Conference proceedings (5) Utilizing Domain Knowledge in End-to-End Audio Processing Autorzy: Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins, Lars Maaløe Opublikowane w: 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017 Wydawca: NIPS BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Autorzy: Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther Opublikowane w: arXiv preprint arXiv:1902.02102, 2019 Wydawca: arXiv Exploiting Nontrivial Connectivity for Automatic Speech Recognition Autorzy: Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe Opublikowane w: NIPS workshop on machine learning for audio, 2017 Wydawca: NIPS On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition Autorzy: Jan Kremer, Corti, Copenhagen, Denmark, jk@corti.ai Lasse Borgholt, Corti, Copenhagen, Denmark, lb@corti.ai Lars Maaløe , Corti, Copenhagen, Denmark, lm@corti.ai Opublikowane w: 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018 Wydawca: NIPS Towards Hierarchical Discrete Variational Autoencoders Autorzy: Valentin Liévin, Andrea Dittadi, Lars Maaløe, Ole Winther Opublikowane w: NeurIPS Workshop on Advances in Approximate Bayesian Inference, 2019 Wydawca: OpenReview Other (1) Detecting Out-of-Hospital Cardiac Arrest Using Artificial Intelligence Autorzy: Andreas Cleve, Dimitri Devillers, Matteo Palladini, Jerome Paris, Rose Michael, Etienne Faure, Rodolfo Bonora Opublikowane w: 2020 Wydawca: European Emergency Number Association Wyszukiwanie danych OpenAIRE... Podczas wyszukiwania danych OpenAIRE wystąpił błąd Brak wyników
