Markus Wenzel

Affiliations:
  • Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut, Berlin, Germany
  • TU Berlin, Germany (former)


According to our database1, Markus Wenzel authored at least 13 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.
CoRR, 2021

2020
Toward Global Validation Standards for Health AI.
IEEE Commun. Stand. Mag., 2020

Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements.
CoRR, 2020

USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.
BMC Bioinform., 2020

UDSMProt: universal deep sequence models for protein classification.
Bioinform., 2020

2019
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.
J. Assoc. Inf. Sci. Technol., 2019

Towards International Standards for the Evaluation of Artificial Intelligence for Health.
Proceedings of the 2019 ITU Kaleidoscope: ICT for Health: Networks, 2019

Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning.
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019

2018
Focus Group on Artificial Intelligence for Health.
CoRR, 2018

2015
Neural Responses to Abstract and Linguistic Stimuli with Variable Recognition Latency.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

Live Demonstrator of EEG and Eye-Tracking Input for Disambiguation of Image Search Results.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

2014
A next step towards measuring perceived quality of speech through physiology.
Proceedings of the INTERSPEECH 2014, 2014


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