Please note that PUB no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

454 Publikationen

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 | Bielefelder E-Dissertation | PUB-ID: 2935545
Metric Learning for Structured Data
Paaßen B (2019)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2935456
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (Accepted)
Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy.
PUB | PDF | arXiv
 
2019 | Monographie | PUB-ID: 2935200
Lecture Notes on Applied Optimization
Paaßen B, Artelt A, Hammer B (2019) .
PUB | PDF
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2933893
Feature Relevance Bounds for Ordinal Regression
Pfannschmidt L, Jakob J, Biehl M, Tino P, Hammer B (Accepted)
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 | 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 | 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 | 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 | 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.
PUB | PDF | DOI
 
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
 
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914
Time integration and reject options for probabilistic output of pairwise LVQ
Brinkrolf J, Hammer B (2019)
Neural Computing and Applications.
PUB | DOI
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919119
Bootstrapping of parameterized skills through hybrid optimization in task and policy spaces
Queißer J, Steil JJ (2018)
Frontiers in Robotics and AI 5: 49.
PUB | PDF | DOI | Download (ext.) | WoS
 
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
 
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
 
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
 
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2933557
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
Meyer S, Bertrand OJN, Egelhaaf M, Hammer B (2018)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2018. Yin H, Camacho D, Novais P, Tallón-Ballesteros AJ (Eds); Lecture Notes in Computer Science, 11314. Cham: Springer International Publishing: 508-519.
PUB | DOI
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133.
PUB | DOI | Download (ext.) | WoS | arXiv
 
2018 | Bielefelder E-Dissertation | PUB-ID: 2931569 PUB | PDF | DOI
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412
Statistical Mechanics of On-Line Learning Under Concept Drift
Straat M, Abadi F, Göpfert C, Hammer B, Biehl M (2018)
ENTROPY 20(10): 775.
PUB | DOI | WoS
 

Filter und Suchbegriffe

department=10037

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung