Prof. Dr. Friedhelm Schwenker
89081 Ulm
Friedhelm @ Reserach.com - World's Best Computer Science Scientists @ Ulm University
Friedhelm's Publications @ GoogleScholars
AfriCon AI 2023 - African Conference On Artificial Intelligence
7th IAPR TC9 Workshop on Multimodal Pattern Recognition of Social Signals - MPRSS 2022@ICPR 2022
Special Issue: Formal Analysis of Deep Artificial Neural Networks
AfriCon AI 2022 - African Conference On Artificial Intelligence
Interdisciplinary Topic: Data Analytics and Machine Learning in Artificial Emotional Intelligence
Special Issue: Mathematical Models and Their Applications
6th IAPR TC9 Workshop on Multimodal Pattern Recognition of Social Signals - MPRSS 2020 at ICPR 2020
9th International Workshop on Mathematical Modells and their Applications 2020 (IWMMA 2020)
Krasnojarsk - Ulm: 30 Years Research in AI
Special Issue: Mathematical Models and Their Applications
8th International Workshop on Mathematical Modells and their Applications 2019 (IWMMA 2019)
5th IAPR TC9 Workshop on Multimodal Pattern Recognition of Social Signals - MPRSS 2018 at ICPR 2018
Special Issue: Advancing Big Data in Speech Computation
7th International Workshop on Mathematical Modells and their Applications 2018 (IWMMA 2018)
8th IAPR Workshop on Artificial Neural Networks in Pattern Recognition - ANNPR 2018
Special Session at SPECOM 2018: Big Data in Speech Computation
IEEE Symposium on Computational Intelligence and Data Mining 2017 (CIDM 2017)
International Conference on Image Processing Theory, Tools & Applications (IPTA 2017)
6th International Workshop on Mathematical Modells and their Applications 2017 (IWMMA 2017)
IAPR Workshop on Artificial Neural Networks in Pattern Recognition - ANNPR 2016
IEEE Symposium on Computational Intelligence and Data Mining 2016
IEEE Symposium on Computational Intelligence and Data Mining 2015
Multiple Classifier Systems MCS 2015
Pattern Recognition Letters Special Issue on Pattern Recognition in HCI (Submission: closed)
Pattern Recognition Letters Special Issue on Partially Supervised Learning in PR (Submission: closed)