Dr. Edith Alice Kovács

Publications

Horváth, G., Kovács, E., Molontay, R., & Nováczki, S. (2020). Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data. ACM Transactions on Intelligent Systems and Technology (TIST), 11(3), 1-26.

Szántai, T., & Kovács, E. (2012). Hypergraphs as a mean of discovering the dependence structure of a discrete multivariate probability distribution. Annals of Operations Research, 193(1), 71-90.

Kovács, Edith ; Szántai, Tamás, On the connection between cherry-tree copulas and truncated R-vine copulas
KYBERNETIKA 53 : 3 pp. 437-460. , 24 p. (2017)

Tamás, Szántai ; Edith, Kovács, Discovering a junction tree behind a Markov network by a greedy algorithm
OPTIMIZATION AND ENGINEERING 14 : 4 pp. 503-518. , 16 p. (2013)

Szántai, Tamás ; Kovács, Edith, Portfolio selection using the dependence structure of the assets
In: L, Suhl; G, Mitra; C, Lucas; A, Koberstein; L, Beckmann (szerk.) Applied Mathematical Optimization and Modelling : Extended Abstracts of the APMOD 2012 Conference
Paderborn, Németország : Universität-Gesamthochschule Padernborn, (2012) pp. 95-100. , 6 p.

Szántai, T ; Kovács, E, Pattern recognition using t-cherry junction tree structures
ACTA UNIVERSITATIS APULENSIS MATHEMATICS INFORMATICS - pp. 1-14. Paper: 1 , 14 p. (2011)

Edith, Kovács ; Tamás, Szántai, On the approximation of a discrete multivariate probability distribution using the new concept of t-cherry junction tree, In: K, Marti; Y, Ermoliev; M, Makowski (szerk.) Lecture Notes in Economics and Mathematical Systems : Proceedings of the IFIP/IIASA/GAMM-Workshop on ''Coping with Uncertainty''
Heidelberg, Németország : Springer-Verlag (2010) pp. 39-56. , 18 p.

Awards

2020-ban BME Innovation Award for anomaly detection : http://proprogressio.hu/2019-evi-legjelentosebb-innovacios-teljesitmenyeinek-elismeresere/

Projects

2021- TKP project leader
2018- 2019 a Nemzeti Kiválósági Program projekt az a member
2018 –2020 Hu-Math-In miniproject- group leader
Projects with industial partner:
2021- MOL DS Machine Learning Project - groub leader
2017-2018 Nokia: Anomália detektion in high dimensional time series and their predictability
2017 Cursor Insight: Methods for signature identification
2015 Nokia: Virtual Network Functions (VNF) Fingerprinting
2014 TESCO: Inventory Control in Sales Periods
1999-2003 Romanian Research Grants, participant

Conferences

Major Conferences I attended in the last few years
VOCAL Optimization Conference: Advanced Algorithms, 25 - 27 May 2022 , contributed talk

Hungarian Conference of Operation Research 2021, scientific commettee, contributed talk

The 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019) , University of London, 14-16 December 2019, contributed talk

The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018) at the University of Pisa, Italy, 14-16 December 2018

Other activities

Reviewer: Transactions on Information Theory, Annals of Operation Research, CEJOR, etc
Membership:
Magyar Operációkutatás Társaság,
Gazdasági Modellezési Társaság,
MTA köztestületi tag
Hu-Maths-In tag
Mesterséges Intelligencia Koalíció
Data Analysis and Optimization - AdOpt (lead)