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Profil

VALTCHEV Petko

Main Referenced Co-authors
STATE, Radu  (7)
GLAUNER, Patrick  (4)
MEIRA, Jorge Augusto  (4)
Bettinger, Franck (3)
Blaiech, Khalil (2)
Main Referenced Keywords
Covariate shift (2); Machine learning (2); Non-technical losses (2); Artificial intelligence (1); Bias (1);
Main Referenced Unit & Research Centers
SnT (1)
Main Referenced Disciplines
Computer science (7)

Publications (total 7)

The most downloaded
358 downloads
GLAUNER, P., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51 https://hdl.handle.net/10993/30029

The most cited

161 citations (Scopus®)

GLAUNER, P., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51 https://hdl.handle.net/10993/30029

GLAUNER, P., MIGLIOSI, A., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? In Proceedings of the 19th International Conference on Intelligent System Applications to Power Systems (ISAP 2017).
Peer reviewed

Blaiech, K., Hamadi, S., HOMMES, S., VALTCHEV, P., Cherkaoui, O., & STATE, R. (2017). Rule Compilation in Multi-Tenant Networks. In Rule Compilation in Multi-Tenant Networks (pp. 97-98). Beijing, China: IEEE. doi:10.1109/ANCS.2017.34
Peer reviewed

CAMINO, R. D., STATE, R., MONTERO, L., & VALTCHEV, P. (2017). Finding Suspicious Activities in Financial Transactions and Distributed Ledgers. In Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017).
Peer reviewed

GLAUNER, P., DU, M., Paraschiv, V., BOYTSOV, A., Lopez Andrade, I., MEIRA, J. A., VALTCHEV, P., & STATE, R. (2017). The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. In Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017).
Peer reviewed

MEIRA, J. A., GLAUNER, P., STATE, R., VALTCHEV, P., DOLBERG, L., Bettinger, F., & Duarte, D. (2017). Distilling Provider-Independent Data for General Detection of Non-Technical Losses. In Power and Energy Conference, Illinois 23-24 February 2017.
Peer reviewed

GLAUNER, P., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51
Peer reviewed

Hamadi, S., Blaiech, K., VALTCHEV, P., Cherkaoui, O., & STATE, R. (2016). Compiling packet forwarding rules for switch pipelined architecture. In IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.
Peer reviewed

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