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ORCIDBabak Hosseini
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2020 – today
- 2021
[b1]Babak Hosseini:
Interpretable analysis of motion data. Bielefeld University, Germany, 2021- [c11]Renee Lerch, Babak Hosseini, Pierre Gembaczka, Gernot A. Fink, André Lüdecke
, Viktor Brack, Furkan Ercan, Alexander Utz, Karsten Seidl:
Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals. IEEE SENSORS 2021: 1-4 - 2020
- [j1]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. Data Sci. Eng. 5(2): 126-139 (2020)
2010 – 2019
- 2019
- [c10]Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CIKM 2019: 1863-1872 - [c9]Babak Hosseini, Barbara Hammer:
Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. ESANN 2019 - [c8]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. ICDM 2019: 1096-1101 - [c7]Babak Hosseini, Barbara Hammer:
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. IJCNN 2019: 1-8 - [c6]Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) 2019: 310-326 - [i10]Babak Hosseini, Barbara Hammer:
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. CoRR abs/1903.01867 (2019) - [i9]Babak Hosseini, Barbara Hammer:
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. CoRR abs/1903.03364 (2019) - [i8]Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer:
Non-Negative Kernel Sparse Coding for the Classification of Motion Data. CoRR abs/1903.03891 (2019) - [i7]Babak Hosseini, Barbara Hammer:
Confident Kernel Sparse Coding and Dictionary Learning. CoRR abs/1903.05219 (2019) - [i6]Babak Hosseini, Barbara Hammer:
Non-Negative Local Sparse Coding for Subspace Clustering. CoRR abs/1903.05239 (2019) - [i5]Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. CoRR abs/1909.09218 (2019) - [i4]Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CoRR abs/1911.03949 (2019) - [i3]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. CoRR abs/1911.04969 (2019) - 2018
- [c5]Babak Hosseini, Barbara Hammer:
Feasibility based Large Margin Nearest Neighbor metric learning. ESANN 2018 - [c4]Babak Hosseini, Barbara Hammer:
Confident Kernel Sparse Coding and Dictionary Learning. ICDM 2018: 1031-1036 - [c3]Babak Hosseini, Barbara Hammer:
Non-negative Local Sparse Coding for Subspace Clustering. IDA 2018: 137-150 - 2016
- [c2]Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer:
Non-negative Kernel Sparse Coding for the Analysis of Motion Data. ICANN (2) 2016: 506-514 - [i2]Babak Hosseini, Barbara Hammer:
Efficient Metric Learning for the Analysis of Motion Data. CoRR abs/1610.05083 (2016) - [i1]Babak Hosseini, Barbara Hammer:
Feasibility Based-Large Margin Nearest Neighbor Metric Learning. CoRR abs/1610.05710 (2016) - 2015
- [c1]Babak Hosseini, Barbara Hammer:
Efficient metric learning for the analysis of motion data. DSAA 2015: 1-10
Coauthor Index
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