Vadim Arzamasov

22 papers A* 2B 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data.
CoRR
Jose Cribeiro-Ramallo, Federico Matteucci, Paul Enciu, Alexander Jenke, Vadim Arzamasov, Thorsten Strufe, Klemens Böhm
2025 J jnl
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data.
Trans. Mach. Learn. Res.
Jose Cribeiro-Ramallo, Federico Matteucci, Paul Enciu, Alexander Jenke, Vadim Arzamasov, Thorsten Strufe, Klemens Böhm
2024 — conf
A Reproducibility Study of Subgroup Discovery Algorithms.
ADBIS (Short Papers)
Vadim Arzamasov, Klemens Böhm
2024 J jnl
Adaptive Bernstein change detector for high-dimensional data streams.
Data Min. Knowl. Discov.
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
2024 A* conf
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals.
KDD
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm
2024 J jnl
Efficient Generation of Hidden Outliers for Improved Outlier Detection.
CoRR
Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm
2024 J jnl
Efficient Generation of Hidden Outliers for Improved Outlier Detection.
ACM Trans. Knowl. Discov. Data
Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm
2024 J jnl
Evaluating Privacy Measures for Load Hiding.
CoRR
Vadim Arzamasov, Klemens Böhm
2024 J jnl
Generalizability of experimental studies.
CoRR
Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm
2024 J jnl
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data.
CoRR
Jose Cribeiro-Ramallo, Vadim Arzamasov, Federico Matteucci, Denis Wambold, Klemens Böhm
2023 A* conf
A benchmark of categorical encoders for binary classification.
NeurIPS
Federico Matteucci, Vadim Arzamasov, Klemens Böhm
2023 J jnl
A benchmark of categorical encoders for binary classification.
CoRR
Federico Matteucci, Vadim Arzamasov, Klemens Böhm
2023 J jnl
Adaptive Bernstein Change Detector for High-Dimensional Data Streams.
CoRR
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
2023 J jnl
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals.
CoRR
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm
2021 — —
Comprehensible and Robust Knowledge Discovery from Small Datasets.
Vadim Arzamasov
2021 J jnl
Pedagogical Rule Extraction for Learning Interpretable Models.
CoRR
Vadim Arzamasov, Benjamin Jochum, Klemens Böhm
2021 — conf
REDS: Rule Extraction for Discovering Scenarios.
SIGMOD Conference
Vadim Arzamasov, Klemens Böhm
2020 — conf
Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study.
e-Energy
Vadim Arzamasov, Rebecca Schwerdt, Shahab Karrari, Klemens Böhm, Tien Bach Nguyen
2019 B conf
Minimizing Bias in Estimation of Mutual Information from Data Streams.
SSDBM
Vadim Arzamasov, Klemens Böhm, Ignaz Rutter
2019 J jnl
Scenario Discovery via Rule Extraction.
CoRR
Vadim Arzamasov, Klemens Böhm
2018 — conf
Towards Concise Models of Grid Stability.
SmartGridComm
Vadim Arzamasov, Klemens Böhm, Patrick Jochem
2014 — conf
A Financial Stability Index for Israel.
ITQM
Vadim Arzamasov, Henry Penikas