Mohammadreza Amirian

发表

Learning Neural Models for End-to-End Clustering

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

Multimodal fusion including camera photoplethysmography for pain recognition

Patrick Thiam, Friedhelm Schwenker, Mohammadreza Amirian, 2017, 2017 International Conference on Companion Technology (ICCT).

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Markus Kächele, Friedhelm Schwenker, Mohammadreza Amirian, 2016, ANNPR.

Continuous Multimodal Human Affect Estimation using Echo State Networks

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, 2016, AVEC@ACM Multimedia.

Classification of Mammograms Using Texture and CNN Based Extracted Features

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

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.

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

Friedhelm Schwenker, Mohammadreza Amirian, Thilo Stadelmann, 2018, ANNPR.

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

Friedhelm Schwenker, Mohammadreza Amirian, Lukas Tuggener, 2020 .

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.

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).

Adaptive confidence learning for the personalization of pain intensity estimation systems

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

How (Not) to Measure Bias in Face Recognition Networks

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

The S-transform using a new window to improve frequency and time resolutions

Mohammadreza Amirian, Kamran Kazemi, Mohammad Javad Dehghani, 2013, Signal, Image and Video Processing.

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).

Design Patterns for Resource-Constrained Automated Deep-Learning Methods

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

Efficient deep CNNs for cross-modal automated computer vision under time and space constraints

Mohammadreza Amirian, Thilo Stadelmann, Lukas Tuggener, 2019 .

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

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

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction

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

Pain recognition with camera photoplethysmography

Patrick Thiam, Friedhelm Schwenker, Mohammadreza Amirian, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

How (Not) to Measure Bias in Face Recognition Networks

Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann, 2020 .

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

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

Deep Learning in the Wild pdf

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

Unsupervised Learning and Simulation for Complexity Management in Business Operations

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

PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis

Friedhelm Schwenker, Mohammadreza Amirian, Thilo Stadelmann, 2021 .