11 Publikationen

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[11]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933998
Panzner, M., Cimiano, P., & Gaspers, J., 2019. Modelling the co-emergence of linguistic constructions and action concepts: the case of action verbs. IEEE Transactions on Cognitive and Developmental Systems.
PUB | PDF | DOI | WoS
 
[10]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914356
Panzner, M., & Cimiano, P., 2017. A Deep Reinforcement Learning Based Model Supporting Object Familiarization. Presented at the International Conference on Development and Learning and on Epigenetic Robotics, Instituto Superior Tecnico (IST), Lisbon, Portugal.
PUB | PDF
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2911974
Panzner, M., & Cimiano, P., 2017. A Deep Reinforcement Learning Based Model Supporting Object Familiarization. In Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. Lisbon, Portugal.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2904362
Panzner, M., 2016. TLS Dataset, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903474
Panzner, M., & Cimiano, P., 2016. Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations. In P. M. Pardalos, et al., eds. Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers. Lecture Notes in Computer Science. no.10122 Cham: Springer International Publishing, pp. 94-105.
PUB | PDF | DOI
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2775414
Panzner, M., & Cimiano, P., 2015. Incremental learning of action models as HMMs over qualitative trajectory representations. Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen.
PUB | PDF
 
[5]
2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2785577
Panzner, M., & Cimiano, P., 2015. Incremental learning of action models as HMMs over qualitative trajectory representations. Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen.
PUB | PDF
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733058
Panzner, M., Gaspers, J., & Cimiano, P., 2015. Learning linguistic constructions grounded in qualitative action models. In IEEE International Symposium on Robot and Human Interactive Communication.
PUB | PDF
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127
Gaspers, J., et al., 2014. A multimodal corpus for the evaluation of computational models for (grounded) language acquisition. In EACL Workshop on Cognitive Aspects of Computational Language Learning.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2624505
Panzner, M., Beyer, O., & Cimiano, P., 2013. Human Activity Classification with Online Growing Neural Gas. In Workshop on New Challenges in Neural Computation (NC2). pp. 106-113.
PUB | PDF
 
[1]
2013 | Bielefelder Masterarbeit | PUB-ID: 2703072
Panzner, M., 2013. Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points, Bielefeld: Universität Bielefeld.
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11 Publikationen

Alle markieren

[11]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933998
Panzner, M., Cimiano, P., & Gaspers, J., 2019. Modelling the co-emergence of linguistic constructions and action concepts: the case of action verbs. IEEE Transactions on Cognitive and Developmental Systems.
PUB | PDF | DOI | WoS
 
[10]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914356
Panzner, M., & Cimiano, P., 2017. A Deep Reinforcement Learning Based Model Supporting Object Familiarization. Presented at the International Conference on Development and Learning and on Epigenetic Robotics, Instituto Superior Tecnico (IST), Lisbon, Portugal.
PUB | PDF
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2911974
Panzner, M., & Cimiano, P., 2017. A Deep Reinforcement Learning Based Model Supporting Object Familiarization. In Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. Lisbon, Portugal.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2904362
Panzner, M., 2016. TLS Dataset, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903474
Panzner, M., & Cimiano, P., 2016. Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations. In P. M. Pardalos, et al., eds. Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers. Lecture Notes in Computer Science. no.10122 Cham: Springer International Publishing, pp. 94-105.
PUB | PDF | DOI
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2775414
Panzner, M., & Cimiano, P., 2015. Incremental learning of action models as HMMs over qualitative trajectory representations. Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen.
PUB | PDF
 
[5]
2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2785577
Panzner, M., & Cimiano, P., 2015. Incremental learning of action models as HMMs over qualitative trajectory representations. Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen.
PUB | PDF
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733058
Panzner, M., Gaspers, J., & Cimiano, P., 2015. Learning linguistic constructions grounded in qualitative action models. In IEEE International Symposium on Robot and Human Interactive Communication.
PUB | PDF
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127
Gaspers, J., et al., 2014. A multimodal corpus for the evaluation of computational models for (grounded) language acquisition. In EACL Workshop on Cognitive Aspects of Computational Language Learning.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2624505
Panzner, M., Beyer, O., & Cimiano, P., 2013. Human Activity Classification with Online Growing Neural Gas. In Workshop on New Challenges in Neural Computation (NC2). pp. 106-113.
PUB | PDF
 
[1]
2013 | Bielefelder Masterarbeit | PUB-ID: 2703072
Panzner, M., 2013. Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points, Bielefeld: Universität Bielefeld.
PUB | PDF
 

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Zitationsstil: harvard1

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