Information-theoretic approach to variable selection in predictive models applied to paper machine data. - Elena Ivannikova; Timo Hämäläinen 002; Kari Luostarinen (ISCC, 2013)

Variable group selection based on regression trees: Paper machine case study. - Elena Ivannikova; Timo Hämäläinen 002; Kari Luostarinen (EAIS, 2014)

Probabilistic group dependence approach for discovering overlapping clusters. - Elena Ivannikova; Anna V. Kononova; Timo Hämäläinen 002 (MLSP, 2016)

Scalable implementation of dependence clustering in Apache Spark. - Elena Ivannikova (EAIS, 2017)

Anomaly detection approach to keystroke dynamics based user authentication. - Elena Ivannikova; Gil David; Timo Hämäläinen 002 (ISCC, 2017)

On Detection of Network-Based Co-residence Verification Attacks in SDN-Driven Clouds. - Mikhail Zolotukhin; Elena Ivannikova; Timo Hämäläinen 002 (NEW2AN, 2017)

Probabilistic Transition-Based Approach for Detecting Application-Layer DDoS Attacks in Encrypted Software-Defined Networks. - Elena Ivannikova; Mikhail Zolotukhin; Timo Hämäläinen 002 (NSS, 2017)

Revealing community structures by ensemble clustering using group diffusion. - Elena Ivannikova; Hyunwoo Park; Timo Hämäläinen 002; Kichun Lee 001 (Inf. Fusion, 2018)

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. - Muhammad Ammad-ud-din; Elena Ivannikova; Suleiman A. Khan; Were Oyomno; Qiang Fu; Kuan Eeik Tan; Adrian Flanagan (CoRR, 2019)