Klemens Böhm

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 117

Top Venues

Darmstadt University of Technology (PHD)

Education History

Darmstadt University of Technology

PHD

Publications

Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm
Efficient Generation of Hidden Outliers for Improved Outlier Detection. CoRR (2024)
Béla H. Böhnke, Edouard Fouché, Klemens Böhm
DEAL: Data-Efficient Active Learning for Regression Under Drift. PAKDD (6) (2024)
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. KDD (2024)
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
Adaptive Bernstein change detector for high-dimensional data streams. Data Min. Knowl. Discov. 38 (3) (2024)
Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Tërnava, Jianfeng Gao, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. CoRR (2024)
Tobias Fuchs, Florian Kalinke, Klemens Böhm
Uncertainty-Aware Partial-Label Learning. CoRR (2024)
Jose Cribeiro-Ramallo, Vadim Arzamasov, Federico Matteucci, Denis Wambold, Klemens Böhm
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data. CoRR (2024)
Daniel Betsche, Balduin Katzer, Katrin Schulz, Klemens Böhm
Towards a Temporal Graph Query Language for Durable Patterns. SSDBM (2024)
Jakob Bach, Klemens Böhm
Correction to: Alternative feature selection with user control. Int. J. Data Sci. Anal. 18 (3) (2024)
Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm
Generalizability of experimental studies. CoRR (2024)
Federico Matteucci, Vadim Arzamasov, Klemens Böhm
A benchmark of categorical encoders for binary classification. CoRR (2023)
Federico Matteucci, Vadim Arzamasov, Klemens Böhm
A benchmark of categorical encoders for binary classification. NeurIPS (2023)
Jens Willkomm, Markus Raster, Martin Schäler, Klemens Böhm
CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights). Int. J. Digit. Libr. 24 (4) (2023)
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. CoRR (2023)
Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm
Reduction of data-value-aware process models: A relevance-based approach. Inf. Syst. 114 (2023)
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
Adaptive Bernstein Change Detector for High-Dimensional Data Streams. CoRR (2023)
Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm
Multi-kernel Times Series Outlier Detection. DS (2023)
Jakob Bach, Markus Iser, Klemens Böhm
A Comprehensive Study of k-Portfolios of Recent SAT Solvers. SAT (2022)
Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm
Scalable Online Change Detection for High-dimensional Data Streams. CoRR (2022)
Jakob Bach, Kolja Zoller, Holger Trittenbach, Katrin Schulz, Klemens Böhm
An Empirical Evaluation of Constrained Feature Selection. SN Comput. Sci. 3 (6) (2022)
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111 (4) (2022)
Christine Tex, Martin Schäler, Klemens Böhm
Swellfish privacy: Supporting time-dependent relevance for continuous differential privacy. Inf. Syst. 109 (2022)
Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm
Results from the Verification of Models of Spectrum Auctions. BMSD (2022)
Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. Inf. Syst. 105 (2022)
Elaheh Ordoni, Jutta A. Mülle, Kuan Yang, Klemens Böhm
Efficient Verification of Process Models Supporting Modifications of Data Values. CBI (1) (2022)
Fabian Laforet, Christian Olms, Rudolf Biczok, Klemens Böhm
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy. IEEE Trans. Knowl. Data Eng. 33 (12) (2021)
Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm
A framework for dependency estimation in heterogeneous data streams. Distributed Parallel Databases 39 (2) (2021)
Vadim Arzamasov, Klemens Böhm
REDS: Rule Extraction for Discovering Scenarios. SIGMOD Conference (2021)
Saeed Taghizadeh, Ábel Elekes, Martin Schäler, Klemens Böhm
How meaningful are similarities in deep trajectory representations? Inf. Syst. 98 (2021)
Jens Willkomm, Martin Schäler, Klemens Böhm
Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees. DASFAA (2) (2021)
Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm
Secrecy and performance models for query processing on outsourced graph data. Distributed Parallel Databases 39 (1) (2021)
Georg Steinbuss, Klemens Böhm
Generating Artificial Outliers in the Absence of Genuine Ones - A Survey. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Natalia Arzamasova, Klemens Böhm
Scalable and data-aware SQL query recommendations. Inf. Syst. 96 (2021)
Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm
Preserving Secrecy in Mobile Social Networks. ACM Trans. Cyber Phys. Syst. 5 (1) (2021)
Vadim Arzamasov, Benjamin Jochum, Klemens Böhm
Pedagogical Rule Extraction for Learning Interpretable Models. CoRR (2021)
Holger Trittenbach, Adrian Englhardt, Klemens Böhm
An overview and a benchmark of active learning for outlier detection with one-class classifiers. Expert Syst. Appl. 168 (2021)
Edouard Fouché, Florian Kalinke, Klemens Böhm
Efficient subspace search in data streams. Inf. Syst. 97 (2021)
Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data. e-Energy (2021)
Georg Steinbuss, Klemens Böhm
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Alan Mazankiewicz, Klemens Böhm, Mario Berges
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (4) (2020)
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han
Mining Text Outliers in Document Directories. ICDM (2020)
Alan Mazankiewicz, Klemens Böhm, Mario Bergés
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. CoRR (2020)
Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm
Finding the Sweet Spot: Batch Selection for One-Class Active Learning. SDM (2020)
Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm
Verification of Data-Value-Aware Processes and a Case Study on Spectrum Auctions. CBI (1) (2020)
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. CoRR (2020)
Vadim Arzamasov, Rebecca Schwerdt, Shahab Karrari, Klemens Böhm, Tien Bach Nguyen
Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study. e-Energy (2020)
Natalia Arzamasova, Klemens Böhm, Bertrand Goldman, Christian Saaler, Martin Schäler
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests. IEEE Trans. Knowl. Data Eng. 32 (10) (2020)
Adrian Englhardt, Klemens Böhm
Exploring the Unknown - Query Synthesis in One-Class Active Learning. SDM (2020)
Georg Steinbuss, Klemens Böhm
Generating Artificial Outliers in the Absence of Genuine Ones - a Survey. CoRR (2020)
Holger Trittenbach, Klemens Böhm, Ira Assent
Active Learning of SVDD Hyperparameter Values. DSAA (2020)
Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm
Toward meaningful notions of similarity in NLP embedding models. Int. J. Digit. Libr. 21 (2) (2020)
Edouard Fouché, Florian Kalinke, Klemens Böhm
Efficient Subspace Search in Data Streams. CoRR (2020)
Adrian Englhardt, Jens Willkomm, Martin Schäler, Klemens Böhm
Improving semantic change analysis by combining word embeddings and word frequencies. Int. J. Digit. Libr. 21 (3) (2020)
Georg Steinbuss, Klemens Böhm
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. CoRR (2020)
Birgitta König-Ries, Klemens Böhm
Data Science - more than just Machine Learning: A summary of the Data Science Session at INFORMATIK 2020. GI-Jahrestagung (2020)
Vadim Arzamasov, Klemens Böhm, Ignaz Rutter
Minimizing Bias in Estimation of Mutual Information from Data Streams. SSDBM (2019)
Michael Vollmer, Klemens Böhm
Iterative Estimation of Mutual Information with Error Bounds. EDBT (2019)
Jutta A. Mülle, Christine Tex, Klemens Böhm
A practical data-flow verification scheme for business processes. Inf. Syst. 81 (2019)
Holger Trittenbach, Klemens Böhm
Dimension-based subspace search for outlier detection. Int. J. Data Sci. Anal. 7 (2) (2019)
Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm
Mutual Authorizations: Semantics and Integration Issues. SACMAT (2019)
Klemens Böhm, Dominik Werle
Energy status data. it Inf. Technol. 61 (2-3) (2019)
Holger Trittenbach, Jakob Bach, Klemens Böhm
Understanding the effects of temporal energy-data aggregation on clustering quality. it Inf. Technol. 61 (2-3) (2019)
Jens Willkomm, Janek Bettinger, Martin Schäler, Klemens Böhm
Efficient Interval-focused Similarity Search under Dynamic Time Warping. SSTD (2019)
Daniel Popovic, Edouard Fouché, Klemens Böhm
Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data. ADBIS (2019)
Michael Vollmer, Adrian Englhardt, Holger Trittenbach, Pawel Bielski, Shahab Karrari, Klemens Böhm
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions. e-Energy (2019)
Dominik Werle, Daniel Warzel, Simon Bischof, Anne Koziolek, Holger Trittenbach, Klemens Böhm
The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving. e-Energy (2019)
Georg Steinbuss, Benedikt Rzepka, Simon Bischof, Thomas Blank, Klemens Böhm
FOBSS: Monitoring Data from a Modular Battery System. e-Energy (2019)
Edouard Fouché, Klemens Böhm
Monte Carlo Dependency Estimation. SSDBM (2019)
Edouard Fouché, Junpei Komiyama, Klemens Böhm
Scaling Multi-Armed Bandit Algorithms. KDD (2019)
Ábel Elekes, Antonino Simone Di Stefano, Martin Schäler, Klemens Böhm, Matthias Keller
Learning from Few Samples: Lexical Substitution with Word Embeddings for Short Text Classification. JCDL (2019)
Vadim Arzamasov, Klemens Böhm
Scenario Discovery via Rule Extraction. CoRR (2019)
Holger Trittenbach, Klemens Böhm, Ira Assent
Active Learning of SVDD Hyperparameter Values. CoRR (2019)
Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava
Informative Summarization of Numeric Data. SSDBM (2019)
Holger Trittenbach, Klemens Böhm
One-Class Active Learning for Outlier Detection with Multiple Subspaces. CIKM (2019)
Edouard Fouché, Alexander Eckert, Klemens Böhm
In-database analytics with ibmdbpy. SSDBM (2018)
Edouard Fouché, Klemens Böhm
Monte Carlo Dependency Estimation. CoRR (2018)
Christine Tex, Martin Schäler, Klemens Böhm
Towards meaningful distance-preserving encryption. SSDBM (2018)
Holger Trittenbach, Jakob Bach, Klemens Böhm
On the Tradeoff between Energy Data Aggregation and Clustering Quality. e-Energy (2018)
Christine Tex, Martin Schäler, Klemens Böhm
Distance-Based Data Mining over Encrypted Data. ICDE (2018)
Natalia Arzamasova, Martin Schäler, Klemens Böhm
Cleaning Antipatterns in an SQL Query Log. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Holger Trittenbach, Adrian Englhardt, Klemens Böhm
An Overview and a Benchmark of Active Learning for One-Class Classification. CoRR (2018)
Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data. CoNLL (2018)
Jens Willkomm, Christoph Schmidt-Petri, Martin Schäler, Michael Schefczyk, Klemens Böhm
A Query Algebra for Temporal Text Corpora. JCDL (2018)
Michael Vollmer, Ignaz Rutter, Klemens Böhm
On Complexity and Efficiency of Mutual Information Estimation on Static and Dynamic Data. EDBT (2018)
Christine Tex, Philipp Hertweck, Martin Schäler, Klemens Böhm
PrivEnergy: a Privacy Operator Framework Addressing Individual Concerns. e-Energy (2018)
Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz
Towards Simulation-Data Science - A Case Study on Material Failures. DSAA (2018)
Natalia Arzamasova, Martin Schäler, Klemens Böhm
Cleaning Antipatterns in an SQL Query Log. ICDE (2018)
Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, Klemens Böhm
HIPE: An Energy-Status-Data Set from Industrial Production. e-Energy (2018)
Vadim Arzamasov, Klemens Böhm, Patrick Jochem
Towards Concise Models of Grid Stability. SmartGridComm (2018)
Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
Efficient and Reliable Estimation of Cell Positions. CIKM (2018)
Georg Steinbuss, Klemens Böhm
Hiding outliers in high-dimensional data spaces. Int. J. Data Sci. Anal. 4 (3) (2017)
Gregor Hollmig, Matthias Horne, Simon Leimkühler, Frederik Schöll, Carsten Strunk, Adrian Englhardt, Pavel Efros, Erik Buchmann, Klemens Böhm
An evaluation of combinations of lossy compression and change-detection approaches for time-series data. Inf. Syst. 65 (2017)
Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm
How to Quantify the Impact of Lossy Transformations on Event Detection. Big Data Res. 9 (2017)
Ábel Elekes, Martin Schäler, Klemens Böhm
On the Various Semantics of Similarity in Word Embedding Models. JCDL (2017)
Christopher Oßner, Erik Buchmann, Klemens Böhm
Identifying defective nodes in wireless sensor networks. Distributed Parallel Databases 34 (4) (2016)
Richard Mrasek, Jutta A. Mülle, Klemens Böhm, Michael Becker, Christian Allmann
Property specification, process verification, and reporting - A case study with vehicle-commissioning processes. Inf. Syst. 56 (2016)
Fabian Laforet, Erik Buchmann, Klemens Böhm
Towards provable privacy guarantees using rechargeable energy-storage devices. e-Energy (2016)
Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Christian Stier
Improving accuracy and robustness of self-tuning histograms by subspace clustering. ICDE (2016)
Richard Mrasek, Jutta A. Mülle, Klemens Böhm
Process Synthesis with Sequential and Parallel Constraints. OTM Conferences (2016)
Karl Lorey, Erik Buchmann, Klemens Böhm
TEAL: Transparent Encryption for the Database Abstraction Layer. CAiSE Forum (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Klemens Böhm