106 citations · 148 across the 4 of their papers we have counts for
6 papers
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications. The attacks manipulate an input image suc…
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
Mohammadreza Amirian, Friedhelm Schwenker
Radial basis function neural networks (RBFs) are prime candidates for pattern classification and regression and have been used extensively in classical machine learning application…
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss +5
With the spread of COVID-19 over the world, the need arose for fast and precise automatic triage mechanisms to decelerate the spread of the disease by reducing human efforts e.g. f…
Automated Machine Learning in Practice: State of the Art and Recent Results
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach +4
A main driver behind the digitization of industry and society is the belief that data-driven model building and decision making can contribute to higher degrees of automation and m…
Deep Learning in the Wild
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci +8
Deep learning with neural networks is applied by an increasing number of people outside of classic research environments, due to the vast success of the methodology on a wide range…
Learning Neural Models for End-to-End Clustering
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian +2
We propose a novel end-to-end neural network architecture that, once trained, directly outputs a probabilistic clustering of a batch of input examples in one pass. It estimates a d…