Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps


Aug 24, 2022
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann

* 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) 
* 13 pages, 6 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis


Aug 19, 2022
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann

* IEEE EMBS Regional Conference on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2021) 
* 7 pages 4 figures peer reviewed and published in IEEE EMBS Regional Conference on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2021) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Is it Enough to Optimize CNN Architectures on ImageNet?


Mar 16, 2021
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling


Apr 28, 2020
Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann

* Accepted for publication at the 7th Swiss Conference on Data Science (SDS 2020) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Automated Machine Learning in Practice: State of the Art and Recent Results


Jul 19, 2019
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann

* Accepted full paper at SDS2019, the 6th Swiss Conference on Data Science 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DeepScores and Deep Watershed Detection: current state and open issues


Oct 12, 2018
Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann

* Published on WORMS workshop (ISMIR affiliated workshop) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Learning in the Wild


Jul 13, 2018
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener

* Invited paper on ANNPR 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Neural Models for End-to-End Clustering


Jul 11, 2018
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann

* Accepted for publication on ANNPR 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Watershed Detector for Music Object Recognition


May 26, 2018
Lukas Tuggener, Ismail Elezi, Jurgen Schmidhuber, Thilo Stadelmann

* Accepted on The 19th International Society for Music Information Retrieval Conference 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects


May 26, 2018
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann

* 6 pages, accepted on IEEE International Conference on Pattern Recognition 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email