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463 Publikationen

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
 
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
 
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
 
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2935953
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms
Price TW, Dong Y, Zhi R, Paaßen B, Lytle N, Cateté V, Barnes T (2019)
International Journal of Artificial Intelligence in Education.
PUB | DOI | WoS
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937053
Adversarial Edit Attacks for Tree Data
Paaßen B (Accepted)
In: Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019). Yin H, Camacho D, Tino P (Eds); .
PUB | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (2019)
Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy.
PUB | PDF | DOI | arXiv
 
2019 | Bielefelder E-Dissertation | PUB-ID: 2936581
Memory Models for Incremental Learning Architectures
Losing V (2019)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935925
When can unlabeled data improve the learning rate?
Göpfert C, Ben-David S, Bousquet O, Gelly S, Tolstikhin I, Urner R (2019)
Proceedings of Machine Learning Research PMLR(99): 1500-1518.
PUB | PDF | arXiv
 
2019 | Datenpublikation | PUB-ID: 2936468 PUB | Dateien verfügbar | DOI
 
2019 | Monographie | PUB-ID: 2936408 PUB | PDF
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502
Dynamic fairness - Breaking vicious cycles in automatic decision making
Paaßen B, Bunge A, Hainke C, Sindelar L, Vogelsang M (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc: 477-482.
PUB | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934571
Embeddings and Representation Learning for Structured Data
Paaßen B, Gallicchio C, Micheli A, Sperduti A (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); 85-94.
PUB | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893
Feature Relevance Bounds for Ordinal Regression
Pfannschmidt L, Jakob J, Biehl M, Tino P, Hammer B (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc.
PUB | Download (ext.) | arXiv
 
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044
Continuous online user authentication based on keystroke dynamics
Artelt A, Jakob J, Vaquet V (2019)
Presented at the Interdisciplinary College (IK), Günne/Möhnesee, Germany.
PUB | Dateien verfügbar
 
2019 | Bielefelder E-Dissertation | PUB-ID: 2935545
Metric Learning for Structured Data
Paaßen B (2019)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
2019 | Monographie | PUB-ID: 2935200
Lecture Notes on Applied Optimization
Paaßen B, Artelt A, Hammer B (2019) .
PUB | PDF
 
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715
Differential privacy for learning vector quantization
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing.
PUB | PDF | DOI | WoS
 
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
 
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
 

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