Babak Hosseini

According to our database, Babak Hosseini authored at least 13 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Interpretable analysis of motion data.

Babak Hosseini

PhD thesis, 2021

Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals.

Renee Lerch, Babak Hosseini, Pierre Gembaczka, Gernot A. Fink, André Lüdecke, Viktor Brack, Furkan Ercan, Alexander Utz, Karsten Seidl

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

2020

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation.

Babak Hosseini, Romain Montagné, Barbara Hammer

Data Sci. Eng., 2020

2019

Non-Negative Kernel Sparse Coding for the Classification of Motion Data.

Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer

CoRR, 2019

Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold.

Babak Hosseini, Barbara Hammer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning.

Babak Hosseini, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2019

Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series.

Babak Hosseini, Barbara Hammer

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection.

Babak Hosseini, Barbara Hammer

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Non-negative Local Sparse Coding for Subspace Clustering.

Babak Hosseini, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Confident Kernel Sparse Coding and Dictionary Learning.

Babak Hosseini, Barbara Hammer

Proceedings of the IEEE International Conference on Data Mining, 2018

Feasibility based Large Margin Nearest Neighbor metric learning.

Babak Hosseini, Barbara Hammer

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016

Non-negative Kernel Sparse Coding for the Analysis of Motion Data.

Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Efficient metric learning for the analysis of motion data.

Babak Hosseini, Barbara Hammer

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015