A Financial Stability Index for Israel. - Vadim Arzamasov; Henry Penikas (ITQM, 2014)

Towards Concise Models of Grid Stability. - Vadim Arzamasov; Klemens Böhm; Patrick Jochem (SmartGridComm, 2018)

Electrical Grid Stability Simulated Data. - Vadim Arzamasov (UCI Machine Learning Repository, 2018)

Minimizing Bias in Estimation of Mutual Information from Data Streams. - Vadim Arzamasov; Klemens Böhm; Ignaz Rutter (SSDBM, 2019)

Scenario Discovery via Rule Extraction. - Vadim Arzamasov; Klemens Böhm (CoRR, 2019)

Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study. - Vadim Arzamasov; Rebecca Schwerdt; Shahab Karrari; Klemens Böhm; Tien Bach Nguyen (e-Energy, 2020)

REDS: Rule Extraction for Discovering Scenarios. - Vadim Arzamasov; Klemens Böhm (SIGMOD Conference, 2021)

Pedagogical Rule Extraction for Learning Interpretable Models. - Vadim Arzamasov; Benjamin Jochum; Klemens Böhm (CoRR, 2021)

Comprehensible and Robust Knowledge Discovery from Small Datasets. - Vadim Arzamasov (2021)

A benchmark of categorical encoders for binary classification. - Federico Matteucci; Vadim Arzamasov; Klemens Böhm (NeurIPS, 2023)

A Reproducibility Study of Subgroup Discovery Algorithms. - Vadim Arzamasov; Klemens Böhm (ADBIS (Short Papers), 2024)

Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. - Marco Heyden; Vadim Arzamasov; Edouard Fouché; Klemens Böhm (KDD, 2024)

Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data. - Jose Cribeiro-Ramallo; Vadim Arzamasov; Federico Matteucci; Denis Wambold; Klemens Böhm (CoRR, 2024)

Generalizability of experimental studies. - Federico Matteucci; Vadim Arzamasov; Jose Cribeiro-Ramallo; Marco Heyden; Konstantin Ntounas; Klemens Böhm (CoRR, 2024)

Evaluating Privacy Measures for Load Hiding. - Vadim Arzamasov; Klemens Böhm (CoRR, 2024)

Adaptive Bernstein change detector for high-dimensional data streams. - Marco Heyden; Edouard Fouché; Vadim Arzamasov; Tanja Fenn; Florian Kalinke; Klemens Böhm (Data Min. Knowl. Discov., 2024)

Efficient Generation of Hidden Outliers for Improved Outlier Detection. - Jose Cribeiro-Ramallo; Vadim Arzamasov; Klemens Böhm (ACM Trans. Knowl. Discov. Data, 2024)

Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data. - Jose Cribeiro-Ramallo; Federico Matteucci; Paul Enciu; Alexander Jenke; Vadim Arzamasov; Thorsten Strufe; Klemens Böhm (Trans. Mach. Learn. Res., 2025)