Babak Hosseini

23 papers A* 2A 1B 5Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals. IEEE SENSORS Renee Lerch, Babak Hosseini, Pierre Gembaczka, Gernot A. Fink, André Lüdecke, Viktor Brack, Furkan Ercan, Alexander Utz, Karsten Seidl
2021	—	`—`	Interpretable analysis of motion data. Babak Hosseini
2020	J	`jnl`	Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. Data Sci. Eng. Babak Hosseini, Romain Montagné, Barbara Hammer
2019	J	`jnl`	Confident Kernel Sparse Coding and Dictionary Learning. CoRR Babak Hosseini, Barbara Hammer
2019	A*	`conf`	Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. ICDM Babak Hosseini, Romain Montagné, Barbara Hammer
2019	J	`jnl`	Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. CoRR Babak Hosseini, Romain Montagné, Barbara Hammer
2019	—	`conf`	Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. CoRR Babak Hosseini, Barbara Hammer
2019	A	`conf`	Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CIKM Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CoRR Babak Hosseini, Barbara Hammer
2019	B	`conf`	Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. IJCNN Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. CoRR Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. CoRR Babak Hosseini, Barbara Hammer
2019	B	`conf`	Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. ESANN Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Non-Negative Kernel Sparse Coding for the Classification of Motion Data. CoRR Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer
2019	J	`jnl`	Non-Negative Local Sparse Coding for Subspace Clustering. CoRR Babak Hosseini, Barbara Hammer
2018	A*	`conf`	Confident Kernel Sparse Coding and Dictionary Learning. ICDM Babak Hosseini, Barbara Hammer
2018	B	`conf`	Feasibility based Large Margin Nearest Neighbor metric learning. ESANN Babak Hosseini, Barbara Hammer
2018	B	`conf`	Non-negative Local Sparse Coding for Subspace Clustering. IDA Babak Hosseini, Barbara Hammer
2016	J	`jnl`	Efficient Metric Learning for the Analysis of Motion Data. CoRR Babak Hosseini, Barbara Hammer
2016	J	`jnl`	Feasibility Based-Large Margin Nearest Neighbor Metric Learning. CoRR Babak Hosseini, Barbara Hammer
2016	—	`conf`	Non-negative Kernel Sparse Coding for the Analysis of Motion Data. ICANN (2) Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer
2015	B	`conf`	Efficient metric learning for the analysis of motion data. DSAA Babak Hosseini, Barbara Hammer