49 Publikationen

Alle markieren

[49]
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
 
[48]
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
 
[47]
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
 
[46]
2019 | Datenpublikation | PUB-ID: 2941052 OA
Python Programming Dataset
Paaßen B (2019)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[45]
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
 
[44]
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
 
[43]
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
 
[42]
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
 
[41]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935545 OA
Metric Learning for Structured Data
Paaßen B (2019)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
[40]
2019 | Monographie | PUB-ID: 2935200 OA
Lecture Notes on Applied Optimization
Paaßen B, Artelt A, Hammer B (2019) .
PUB | PDF
 
[39]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[38]
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
 
[37]
2018 | Datenpublikation | PUB-ID: 2916863 OA
VBB Shortest Path Data 2018
Paaßen B, Ahmaro A (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[36]
2018 | Datenpublikation | PUB-ID: 2919994 OA
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[35]
2018 | Datenpublikation | PUB-ID: 2916990 OA PUB | Dateien verfügbar | DOI
 
[34]
2018 | Datenpublikation | PUB-ID: 2916980 OA
Relational Neural Gas
Paaßen B (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[33]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces
Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)
Journal of Educational Data Mining 10(1): 1-35.
PUB | Download (ext.) | arXiv
 
[32]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. 3973-3982.
PUB | Download (ext.) | arXiv
 
[31]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017.
PUB | DOI
 
[30]
2018 | Preprint | Entwurf | PUB-ID: 2919918 PUB | Download (ext.) | arXiv
 
[29]
2017 | Datenpublikation | PUB-ID: 2913104 OA
Time Series Prediction for Relational and Kernel Data
Paaßen B (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[28]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134.
PUB | PDF
 
[27]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen B, Schulz A (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[26]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663 OA
Two or three things we do (not) know about distances
Paaßen B (2017)
In: Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017). Schleif F-M, Villmann T (Eds); Machine Learning Reports. 32-33.
PUB | PDF | Download (ext.)
 
[25]
2017 | Datenpublikation | PUB-ID: 2913083 OA
BinaryAdder UML Dataset
Paaßen B (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905302 OA
What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture
Paaßen B, Morgenroth T, Stratemeyer M (2017)
Sex Roles 76(7-8): 421-435.
PUB | PDF | DOI | WoS
 
[23]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342.
PUB | Dateien verfügbar | DOI
 
[22]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367
Local Reject Option for Deterministic Multi-class SVM
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258.
PUB | DOI
 
[21]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming
Paaßen B, Jensen J, Hammer B (2016)
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190.
PUB | Download (ext.)
 
[20]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224 OA
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13.
PUB | PDF | DOI | WoS
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676 OA
Gaussian process prediction for time series of structured data
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46.
PUB | PDF
 
[18]
2016 | Datenpublikation | PUB-ID: 2900684 OA
Java Sorting Programs
Paaßen B (2016)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[17]
2016 | Datenpublikation | PUB-ID: 2900666 OA
MiniPalindrome
Paaßen B (2016)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[16]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729 OA
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Göpfert C, Paaßen B, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 510-517.
PUB | PDF | DOI
 
[15]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18.
PUB | Download (ext.)
 
[14]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157.
PUB | PDF | DOI | Download (ext.)
 
[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156 OA
Adaptive structure metrics for automated feedback provision in Java programming
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312.
PUB | PDF
 
[12]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031 OA
Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
PUB | PDF | DOI | Download (ext.) | WoS
 
[11]
2015 | Report | PUB-ID: 2712107 OA
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit
Stöckel A, Paaßen B, Dickfelder R, Göpfert JP, Brazda N, Müller HW, Cimiano P, Hartung M, Klinger R (2015)
bioRxive.org.
PUB | PDF | DOI | Download (ext.)
 
[10]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the 8th International Conference on Educational Data Mining. Santos OC, Boticario JG, Romero C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, et al. (Eds); International Educational Datamining Society: 632-632.
PUB | Download (ext.)
 
[9]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955 OA
Autonomous Learning of Representations
Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)
KI - Künstliche Intelligenz 29(4): 339–351.
PUB | PDF | DOI | Download (ext.) | WoS
 
[8]
2015 | Bielefelder Masterarbeit | PUB-ID: 2736686 OA
Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming
Paaßen B (2015)
Bielefeld: Bielefeld University.
PUB | PDF
 
[7]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96.
PUB | DOI | Download (ext.) | WoS
 
[6]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554 OA
Adaptive distance measures for sequential data
Mokbel B, Paaßen B, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 265-270.
PUB | PDF
 
[5]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760 OA
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments
Paaßen B, Stöckel A, Dickfelder R, Göpfert JP, Brazda N, Kirchhoffer T, Müller HW, Klinger R, Hartung M, Cimiano P (2014)
In: Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING). Maynard D, Erp van M, Davis B (Eds); Dublin, Ireland: 25-32.
PUB | PDF | Download (ext.)
 
[4]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058
Example-based feedback provision using structured solution spaces
Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)
International Journal of Learning Technology 9(3): 248-280.
PUB | DOI | Download (ext.)
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067 OA
Efficient Adaptation of Structure Metrics in Prototype-Based Classification
Mokbel B, Paaßen B, Hammer B (2014)
In: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa A (Eds); Lecture Notes in Computer Science, 8681. Springer: 571-578.
PUB | PDF | DOI | Download (ext.)
 
[2]
2013 | Datenpublikation | PUB-ID: 2692491 OA
VBB Midi Dataset
Paaßen B (2013)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[1]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185
Domain-Independent Proximity Measures in Intelligent Tutoring Systems
Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)
In: Proceedings of the 6th International Conference on Educational Data Mining (EDM). D'Mello SK, Calvo RA, Olney A (Eds); 334-335.
PUB | Download (ext.)
 

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49 Publikationen

Alle markieren

[49]
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
 
[48]
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
 
[47]
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
 
[46]
2019 | Datenpublikation | PUB-ID: 2941052 OA
Python Programming Dataset
Paaßen B (2019)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[45]
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
 
[44]
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
 
[43]
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
 
[42]
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
 
[41]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935545 OA
Metric Learning for Structured Data
Paaßen B (2019)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
[40]
2019 | Monographie | PUB-ID: 2935200 OA
Lecture Notes on Applied Optimization
Paaßen B, Artelt A, Hammer B (2019) .
PUB | PDF
 
[39]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689.
PUB | DOI | Download (ext.) | WoS | arXiv
 
[38]
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
 
[37]
2018 | Datenpublikation | PUB-ID: 2916863 OA
VBB Shortest Path Data 2018
Paaßen B, Ahmaro A (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[36]
2018 | Datenpublikation | PUB-ID: 2919994 OA
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[35]
2018 | Datenpublikation | PUB-ID: 2916990 OA PUB | Dateien verfügbar | DOI
 
[34]
2018 | Datenpublikation | PUB-ID: 2916980 OA
Relational Neural Gas
Paaßen B (2018)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[33]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces
Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)
Journal of Educational Data Mining 10(1): 1-35.
PUB | Download (ext.) | arXiv
 
[32]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. 3973-3982.
PUB | Download (ext.) | arXiv
 
[31]
2018 | Konferenzbeitrag | PUB-ID: 2916318
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017.
PUB | DOI
 
[30]
2018 | Preprint | Entwurf | PUB-ID: 2919918 PUB | Download (ext.) | arXiv
 
[29]
2017 | Datenpublikation | PUB-ID: 2913104 OA
Time Series Prediction for Relational and Kernel Data
Paaßen B (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[28]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134.
PUB | PDF
 
[27]
2017 | Datenpublikation | PUB-ID: 2912671 OA
Linear Supervised Transfer Learning Toolbox
Paaßen B, Schulz A (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[26]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663 OA
Two or three things we do (not) know about distances
Paaßen B (2017)
In: Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017). Schleif F-M, Villmann T (Eds); Machine Learning Reports. 32-33.
PUB | PDF | Download (ext.)
 
[25]
2017 | Datenpublikation | PUB-ID: 2913083 OA
BinaryAdder UML Dataset
Paaßen B (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[24]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905302 OA
What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture
Paaßen B, Morgenroth T, Stratemeyer M (2017)
Sex Roles 76(7-8): 421-435.
PUB | PDF | DOI | WoS
 
[23]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342.
PUB | Dateien verfügbar | DOI
 
[22]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367
Local Reject Option for Deterministic Multi-class SVM
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258.
PUB | DOI
 
[21]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming
Paaßen B, Jensen J, Hammer B (2016)
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190.
PUB | Download (ext.)
 
[20]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224 OA
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13.
PUB | PDF | DOI | WoS
 
[19]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676 OA
Gaussian process prediction for time series of structured data
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46.
PUB | PDF
 
[18]
2016 | Datenpublikation | PUB-ID: 2900684 OA
Java Sorting Programs
Paaßen B (2016)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[17]
2016 | Datenpublikation | PUB-ID: 2900666 OA
MiniPalindrome
Paaßen B (2016)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[16]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729 OA
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Göpfert C, Paaßen B, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 510-517.
PUB | PDF | DOI
 
[15]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18.
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[14]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157.
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[13]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156 OA
Adaptive structure metrics for automated feedback provision in Java programming
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312.
PUB | PDF
 
[12]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031 OA
Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
PUB | PDF | DOI | Download (ext.) | WoS
 
[11]
2015 | Report | PUB-ID: 2712107 OA
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit
Stöckel A, Paaßen B, Dickfelder R, Göpfert JP, Brazda N, Müller HW, Cimiano P, Hartung M, Klinger R (2015)
bioRxive.org.
PUB | PDF | DOI | Download (ext.)
 
[10]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the 8th International Conference on Educational Data Mining. Santos OC, Boticario JG, Romero C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, et al. (Eds); International Educational Datamining Society: 632-632.
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[9]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955 OA
Autonomous Learning of Representations
Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)
KI - Künstliche Intelligenz 29(4): 339–351.
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[8]
2015 | Bielefelder Masterarbeit | PUB-ID: 2736686 OA
Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming
Paaßen B (2015)
Bielefeld: Bielefeld University.
PUB | PDF
 
[7]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96.
PUB | DOI | Download (ext.) | WoS
 
[6]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554 OA
Adaptive distance measures for sequential data
Mokbel B, Paaßen B, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 265-270.
PUB | PDF
 
[5]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760 OA
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments
Paaßen B, Stöckel A, Dickfelder R, Göpfert JP, Brazda N, Kirchhoffer T, Müller HW, Klinger R, Hartung M, Cimiano P (2014)
In: Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING). Maynard D, Erp van M, Davis B (Eds); Dublin, Ireland: 25-32.
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[4]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058
Example-based feedback provision using structured solution spaces
Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)
International Journal of Learning Technology 9(3): 248-280.
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[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067 OA
Efficient Adaptation of Structure Metrics in Prototype-Based Classification
Mokbel B, Paaßen B, Hammer B (2014)
In: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa A (Eds); Lecture Notes in Computer Science, 8681. Springer: 571-578.
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[2]
2013 | Datenpublikation | PUB-ID: 2692491 OA
VBB Midi Dataset
Paaßen B (2013)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[1]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185
Domain-Independent Proximity Measures in Intelligent Tutoring Systems
Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)
In: Proceedings of the 6th International Conference on Educational Data Mining (EDM). D'Mello SK, Calvo RA, Olney A (Eds); 334-335.
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