Mohammadreza Amirian

发表

Bias, awareness, and ignorance in deep-learning-based face recognition

Stefan Glüge, Thilo Stadelmann, S. Wehrli, 2021, AI and Ethics.

One Decade of Unnatural Deaths in Yazd Province: 2003-2013

A. Dehghani, H. Falahzadeh, Mohammadreza Amirian, 2016 .

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

Javier A. Montoya-Zegarra, Yves D. Stebler, A. S. Bozkir, 2021, 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Investigation of medical errors among technical authorities of Tehran hospitals in cases referred to Tehran Commission of Legal Medicine

B. Mostafazadeh, Mohammadreza Amirian, Saeed Shabani, 2019 .

How (Not) to Measure Bias in Face Recognition Networks

Mohammadreza Amirian, Stefan Glüge, Dandolo Flumini, 2020, ANNPR.

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

Friedhelm Schwenker, Mohammadreza Amirian, F. Schwenker, 2020, IEEE Access.

Unsupervised Learning and Simulation for Complexity Management in Business Operations

Thomas Friedli, Mohammadreza Amirian, Thilo Stadelmann, 2019, Applied Data Science.

Learning Neural Models for End-to-End Clustering

Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, 2018, ANNPR.

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

Mohammadreza Amirian, Thilo Stadelmann, Lukas Tuggener, 2019, 2019 6th Swiss Conference on Data Science (SDS).

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

Patrick Thiam, Friedhelm Schwenker, Elisabeth André, 2019, IEEE Transactions on Affective Computing.

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels

Patrick Thiam, Markus Kächele, Günther Palm, 2016, IEEE Journal of Selected Topics in Signal Processing.

Adaptive confidence learning for the personalization of pain intensity estimation systems

Patrick Thiam, Markus Kächele, Günther Palm, 2017, Evol. Syst..

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity

Patrick Thiam, Markus Kächele, Günther Palm, 2015, EANN.

Adaptive confidence learning for the personalization of pain intensity estimation systems

P. Werner, Steffen Walter, F. Schwenker, 2016, Evolving Systems.

Two to trust : AutoML for safe modelling and interpretable deep learning for robustness

Friedhelm Schwenker, Mohammadreza Amirian, Lukas Tuggener, 2020 .

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Design Patterns for Resource-Constrained Automated Deep-Learning Methods

Fernando Benites, Mohammadreza Amirian, Thilo Stadelmann, 2020, AI.

Deep Learning in the Wild pdf

Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, 2018, ANNPR.

Classification of Mammograms Using Texture and CNN Based Extracted Features

Friedhelm Schwenker, Mohammadreza Amirian, Dereje Yohannes, 2019, Journal of Biomimetics, Biomaterials and Biomedical Engineering.

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction

Günther Palm, Friedhelm Schwenker, Mohammadreza Amirian, 2017, ICT4DA.