PUB - Publikationen an der Universität Bielefeld

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• [18]
  

  2021 | Bielefelder E-Dissertation | PUB-ID: 2956362

  Interpretable analysis of motion data
  Hosseini B (2021)
  Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [17]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982082

  Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
  Hosseini B, Hammer B (2019)
  In: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.

  PUB | DOI
   
• [16]
  

  2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937842

  Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation
  Hosseini B, Hammer B (Accepted)
  Presented at the 2019 IEEE International Conference on Data Mining (ICDM), Beijing.

  PUB | Datei | arXiv
   
• [15]
  

  2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841

  Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection
  Hosseini B, Hammer B (Accepted)
  Presented at the The 28th ACM International Conference on Information and Knowledge Management (CIKM) , Beijing.

  PUB | Datei | arXiv
   
• [14]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839

  Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold
  Hosseini B, Hammer B (2019)
  Presented at the 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), Würzburg.

  PUB | Datei | arXiv
   
• [13]
  

  2019 | Konferenzbeitrag | PUB-ID: 2930303

  Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series
  Hosseini B, Hammer B (2019)
  In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); .

  PUB | arXiv
   
• [12]
  

  2019 | Konferenzbeitrag | PUB-ID: 2934192

  Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
  Hosseini B, Hammer B (2019)
  Presented at the The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest.

  PUB | arXiv
   
• [11]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982090

  Non-negative Local Sparse Coding for Subspace Clustering
  Hosseini B, Hammer B (2018)
  In: Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Duivesteijn W, Siebes A, Ukkonen A (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 137-150.

  PUB | DOI
   
• [10]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982087

  Confident Kernel Sparse Coding and Dictionary Learning
  Hosseini B, Hammer B (2018)
  In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE: 1031-1036.

  PUB | DOI
   
• [9]
  

  2018 | Preprint | Veröffentlicht | PUB-ID: 2921209

  Non-Negative Local Sparse Coding for Subspace Clustering
  Hosseini B, Hammer B (2018)
  Advances in Intelligent Data Analysis XVII. IDA 2018.

  PUB | Datei | Download (ext.) | arXiv
   
• [8]
  

  2018 | Konferenzbeitrag | Im Druck | PUB-ID: 2932116

  Confident Kernel Sparse Coding and Dictionary Learning
  Hosseini B, Hammer B (In Press)
  In: 2018 IEEE International Conference on Data Mining (ICDM).

  PUB | Datei | arXiv
   
• [7]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919598

  Feasibility Based Large Margin Nearest Neighbor Metric Learning
  Hosseini B, Hammer B (2018)
  In: ESANN 2018. Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 219-224.

  PUB | arXiv
   
• [6]
  

  2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919987

  Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data
  Hosseini B, Hammer B (2017)
  Presented at the BMVA Symposium on Human Activity Recognition and Monitoring, London.

  PUB | PDF
   
• [5]
  

  2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919990

  Task-Driven Sparse Coding for Classification of Motion Data
  Hosseini B, Hammer B (2017)
  Presented at the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017), Mittweida.

  PUB | PDF
   
• [4]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469

  Non-Negative Kernel Sparse Coding for the Analysis of Motion Data
  Hosseini B, Hülsmann F, Botsch M, Hammer B (2016)
  In: Artificial Neural Networks and Machine Learning – ICANN 2016. E.P. Villa A, Masulli P, Javier Pons Rivero A (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer: 506-514.

  PUB | PDF | DOI | Download (ext.) | arXiv
   
• [3]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165

  Efficient Metric Learning for the Analysis of Motion Data
  Hosseini B, Hammer B (2015)
  In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE.

  PUB | DOI | Download (ext.) | arXiv
   
• [2]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914986

  Abstract Concept Learning Approach Based on Behavioural Feature Extraction
  Hosseini B, Ahmadabadi MN, Araabi BN (2010)
  In: 2009 Second International Conference on Computer and Electrical Engineering. Kamaruzaman J (Ed); , 2. Piscataway, NJ: IEEE.

  PUB | PDF | DOI
   
• [1]
  

  2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914988

  Real Time Emotional Control for Anti-Swing and Positioning Control of SIMO Overhead Traveling Crane
  Jamali MR, Arami A, Hosseini B, Moshiri B, Lukas C (2008)
  International Journal of Innovative Computing, Information, and Control 4(9): 2333-2344.

  PUB | PDF