Efficient metric learning for the analysis of motion data. - Babak Hosseini; Barbara Hammer (DSAA, 2015)

Non-negative Kernel Sparse Coding for the Analysis of Motion Data. - Babak Hosseini; Felix Hülsmann; Mario Botsch; Barbara Hammer (ICANN (2), 2016)

Feasibility based Large Margin Nearest Neighbor metric learning. - Babak Hosseini; Barbara Hammer (ESANN, 2018)

Confident Kernel Sparse Coding and Dictionary Learning. - Babak Hosseini; Barbara Hammer (ICDM, 2018)

Non-negative Local Sparse Coding for Subspace Clustering. - Babak Hosseini; Barbara Hammer (IDA, 2018)

Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. - Babak Hosseini; Barbara Hammer (CIKM, 2019)

Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. - Babak Hosseini; Barbara Hammer (ESANN, 2019)

Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. - Babak Hosseini; Barbara Hammer (IJCNN, 2019)

Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. - Babak Hosseini; Barbara Hammer (ECML/PKDD (1), 2019)

Non-Negative Kernel Sparse Coding for the Classification of Motion Data. - Babak Hosseini; Felix Hülsmann; Mario Botsch; Barbara Hammer (CoRR, 2019)

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. - Babak Hosseini; Romain Montagné; Barbara Hammer (Data Sci. Eng., 2020)

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 (IEEE SENSORS, 2021)

Interpretable analysis of motion data. - Babak Hosseini (2021)