Search Results for author: Marcel Salathé

Found 13 papers, 8 papers with code

Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic

1 code implementation3 Dec 2020 Martin Müller, Marcel Salathé

We show that while vaccine sentiment has declined considerably during the COVID-19 pandemic in 2020, algorithms trained on pre-pandemic data would have largely missed this decline due to concept drift.

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

1 code implementation15 May 2020 Martin Müller, Marcel Salathé, Per E Kummervold

In this work, we release COVID-Twitter-BERT (CT-BERT), a transformer-based model, pretrained on a large corpus of Twitter messages on the topic of COVID-19.

Classification General Classification +1

Focus Group on Artificial Intelligence for Health

no code implementations13 Sep 2018 Marcel Salathé, Thomas Wiegand, Markus Wenzel

Artificial Intelligence (AI) - the phenomenon of machines being able to solve problems that require human intelligence - has in the past decade seen an enormous rise of interest due to significant advances in effectiveness and use.

Decision Making

Adversarial Vision Challenge

2 code implementations6 Aug 2018 Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge

The NIPS 2018 Adversarial Vision Challenge is a competition to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks.

Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing

no code implementations14 May 2018 Martin Mueller, Marcel Salathé

In the past decade, tracking health trends using social media data has shown great promise, due to a powerful combination of massive adoption of social media around the world, and increasingly potent hardware and software that enables us to work with these new big data streams.

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning

no code implementations31 Mar 2018 Łukasz Kidziński, Sharada P. Mohanty, Carmichael Ong, Jennifer L. Hicks, Sean F. Carroll, Sergey Levine, Marcel Salathé, Scott L. Delp

Synthesizing physiologically-accurate human movement in a variety of conditions can help practitioners plan surgeries, design experiments, or prototype assistive devices in simulated environments, reducing time and costs and improving treatment outcomes.

Learning to Recognize Musical Genre from Audio

5 code implementations13 Mar 2018 Michaël Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel Salathé

We here summarize our experience running a challenge with open data for musical genre recognition.

Music Genre Recognition

On the Ground Validation of Online Diagnosis with Twitter and Medical Records

no code implementations11 Apr 2014 Todd Bodnar, Victoria C Barclay, Nilam Ram, Conrad S Tucker, Marcel Salathé

Taking a different approach, we develop a novel system for social-media based disease detection at the individual level using a sample of professionally diagnosed individuals.

Anomaly Detection

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