11 Publikationen

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[11]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933998
M. Panzner, P. Cimiano, and J. Gaspers, “Modelling the co-emergence of linguistic constructions and action concepts: the case of action verbs”, IEEE Transactions on Cognitive and Developmental Systems, 2019.
PUB | PDF | DOI
 
[10]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914356
M. Panzner and P. Cimiano, “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, Lisbon, Portugal: 2017.
PUB | PDF
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2911974
M. Panzner and P. Cimiano, “A Deep Reinforcement Learning Based Model Supporting Object Familiarization”, Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Lisbon, Portugal: 2017.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2904362
M. Panzner, TLS Dataset. Bielefeld University, 2016. doi:10.4119/unibi/2904362.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903474
M. Panzner and P. Cimiano, “Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations”, Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers, P.M. Pardalos, et al., eds., Lecture Notes in Computer Science, vol. 10122, Cham: Springer International Publishing, 2016, pp.94-105.
PUB | PDF | DOI
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2775414
M. Panzner and P. Cimiano, “Incremental learning of action models as HMMs over qualitative trajectory representations”, Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen, 2015.
PUB | PDF
 
[5]
2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2785577
M. Panzner and P. Cimiano, “Incremental learning of action models as HMMs over qualitative trajectory representations”, Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen, 2015.
PUB | PDF
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733058
M. Panzner, J. Gaspers, and P. Cimiano, “Learning linguistic constructions grounded in qualitative action models”, IEEE International Symposium on Robot and Human Interactive Communication, 2015.
PUB | PDF
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127
J. Gaspers, et al., “A multimodal corpus for the evaluation of computational models for (grounded) language acquisition”, EACL Workshop on Cognitive Aspects of Computational Language Learning, 2014.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2624505
M. Panzner, O. Beyer, and P. Cimiano, “Human Activity Classification with Online Growing Neural Gas”, Workshop on New Challenges in Neural Computation (NC2), 2013, pp.106-113.
PUB | PDF
 
[1]
2013 | Bielefelder Masterarbeit | PUB-ID: 2703072
M. Panzner, Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points, Bielefeld: Universität Bielefeld, 2013.
PUB | PDF
 

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11 Publikationen

Alle markieren

[11]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933998
M. Panzner, P. Cimiano, and J. Gaspers, “Modelling the co-emergence of linguistic constructions and action concepts: the case of action verbs”, IEEE Transactions on Cognitive and Developmental Systems, 2019.
PUB | PDF | DOI
 
[10]
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914356
M. Panzner and P. Cimiano, “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, Lisbon, Portugal: 2017.
PUB | PDF
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2911974
M. Panzner and P. Cimiano, “A Deep Reinforcement Learning Based Model Supporting Object Familiarization”, Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Lisbon, Portugal: 2017.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2904362
M. Panzner, TLS Dataset. Bielefeld University, 2016. doi:10.4119/unibi/2904362.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903474
M. Panzner and P. Cimiano, “Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations”, Machine Learning, Optimization, and Big Data : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers, P.M. Pardalos, et al., eds., Lecture Notes in Computer Science, vol. 10122, Cham: Springer International Publishing, 2016, pp.94-105.
PUB | PDF | DOI
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2775414
M. Panzner and P. Cimiano, “Incremental learning of action models as HMMs over qualitative trajectory representations”, Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen, 2015.
PUB | PDF
 
[5]
2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2785577
M. Panzner and P. Cimiano, “Incremental learning of action models as HMMs over qualitative trajectory representations”, Presented at the Workshop on New Challenges in Neural Computation (NC2), Aachen, 2015.
PUB | PDF
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2733058
M. Panzner, J. Gaspers, and P. Cimiano, “Learning linguistic constructions grounded in qualitative action models”, IEEE International Symposium on Robot and Human Interactive Communication, 2015.
PUB | PDF
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127
J. Gaspers, et al., “A multimodal corpus for the evaluation of computational models for (grounded) language acquisition”, EACL Workshop on Cognitive Aspects of Computational Language Learning, 2014.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2624505
M. Panzner, O. Beyer, and P. Cimiano, “Human Activity Classification with Online Growing Neural Gas”, Workshop on New Challenges in Neural Computation (NC2), 2013, pp.106-113.
PUB | PDF
 
[1]
2013 | Bielefelder Masterarbeit | PUB-ID: 2703072
M. Panzner, Online Klassifikation menschlicher Aktionen anhand von Space-Time Interest-Points, Bielefeld: Universität Bielefeld, 2013.
PUB | PDF
 

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