research
∙
06/28/2021
The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images
The automatic recognition of food on images has numerous interesting app...
share
research
∙
12/23/2020
Towards a common performance and effectiveness terminology for digital proximity tracing applications
Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a ...
research
∙
12/03/2020
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
Social media analysis has become a common approach to assess public opin...
research
∙
05/25/2020
Decentralized Privacy-Preserving Proximity Tracing
This document describes and analyzes a system for secure and privacy-pre...
research
∙
05/15/2020
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
In this work, we release COVID-Twitter-BERT (CT-BERT), a transformer-bas...
research
∙
06/20/2019
Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns
In the IEEE Investment ranking challenge 2018, participants were asked t...
research
∙
02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
research
∙
09/13/2018
Focus Group on Artificial Intelligence for Health
Artificial Intelligence (AI) - the phenomenon of machines being able to ...
research
∙
08/06/2018
Adversarial Vision Challenge
The NIPS 2018 Adversarial Vision Challenge is a competition to facilitat...
research
∙
05/14/2018
Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing
In the past decade, tracking health trends using social media data has s...
research
∙
04/02/2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
In the NIPS 2017 Learning to Run challenge, participants were tasked wit...
research
∙
03/31/2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
Synthesizing physiologically-accurate human movement in a variety of con...
research
∙
03/13/2018
Learning to Recognize Musical Genre from Audio
We here summarize our experience running a challenge with open data for ...
research
∙
04/11/2016
