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475 Publikationen

2020 | Konferenzbeitrag | PUB-ID: 2946488
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
Hinder F, Artelt A, Hammer B (2020)
In: Proceedings of the 37th International Conference on Machine Learning.
PUB | Download (ext.)
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945878
Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von Kindern
Geminn CL, Szczuka J, Weber C, Artelt A, Varonina L (2020)
Datenschutz und Datensicherheit - DuD 44(9): 600-605.
PUB | DOI | Download (ext.)
 
2020 | Datenpublikation | PUB-ID: 2945513 OA PUB | Dateien verfügbar | DOI
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944191
The Gendered Nature and Malleability of Gamer Stereotypes
Morgenroth T, Stratemeyer M, Paaßen B (2020)
Cyberpsychology, Behavior, and Social Networking 23(8): 557-561.
PUB | DOI | WoS | PubMed | Europe PMC
 
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327
Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, et al. (2020)
Nucleic acids research.
PUB | DOI | PubMed | Europe PMC
 
2020 | Konferenzbeitrag | PUB-ID: 2943260
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
Schulz A, Hinder F, Hammer B (2020)
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}.
PUB | DOI | Download (ext.)
 
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2942892
Brain-inspired computing and machine learning
Iliadis LS, Kurkova V, Hammer B (2020)
NEURAL COMPUTING & APPLICATIONS.
PUB | DOI | WoS
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B (2020)
Neurocomputing.
PUB | DOI | Download (ext.) | arXiv
 
2020 | Preprint | Entwurf | PUB-ID: 2942271 OA PUB | PDF | arXiv
 
2020 | Konferenzbeitrag | Im Druck | PUB-ID: 2941931
Reservoir memory machines
Paaßen B, Schulz A (In Press)
In: Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020). Verleysen M (Ed); Bruges.
PUB | Download (ext.) | arXiv
 
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458 OA
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 | 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 | Datenpublikation | PUB-ID: 2941052 OA
Python Programming Dataset
Paaßen B (2019)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937842 OA
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
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841 OA
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
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053
Adversarial Edit Attacks for Tree Data
Paaßen B (2019)
In: Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019). Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 11871. Cham: Springer: 359-366.
PUB | DOI | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839 OA
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 29(3): 368-395.
PUB | DOI | WoS
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456 OA
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
 

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