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2020 – today
- 2025
[c141]Maren Pielka
, Marie-Christin Freischlad, Svetlana Schmidt, Rafet Sifa:
Improving Language Model Performance by Training on Prototypical Contradictions. ECIR (3) 2025: 148-155- [c140]Max Lübbering, Vijul Shah, Moinam Chatterjee, Priya Priya, Osama Soliman, Rafet Sifa:
Architectural Proposal for Reproducible, Standardized Deep Learning Research. ICSA Companion 2025: 94-101 - [c139]Hossam Elsafty, Bouthaina Abdou, Tobias Deußer, Maren Pielka, Christian Bauckhage, Rafet Sifa:
ArDia: Improving Arabic Dialectal Language Classification Using a Novel Dataset. ICWSM 2025: 2413-2422 - 2024
- [c138]Armin Berger, Ali Hamza Bashir, David Berghaus, Mowmita, Nazia Afsan, Lorenz Grigull, Lara Fendrich, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tom Anglim Lagones, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa:
Optimizing Rare Disease Patient Matching with Large Language Models. IEEE Big Data 2024: 1-5 - [c137]Maren Pielka, Tobias Schneider, Jan Terheyden, Rafet Sifa:
[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. IEEE Big Data 2024: 1854-1859 - [c136]Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa:
Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits. IEEE Big Data 2024: 3061-3069 - [c135]Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage:
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking. IEEE Big Data 2024: 3664-3673 - [c134]Tobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa:
Fusing Speech and Language Models for Dementia Detection. IEEE Big Data 2024: 3908-3914 - [c133]Tobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. IEEE Big Data 2024: 4737-4742 - [c132]Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. IEEE Big Data 2024: 4864-4868 - [c131]Armin Berger, David Berghaus, Ali Hamza Bashir, Lorenz Grigull, Lara Fendrich, Tom Anglim Lagones, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa:
Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. IEEE Big Data 2024: 5876-5883 - [c130]Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Informed Named Entity Recognition Decoding for Generative Language Models. IEEE Big Data 2024: 6001-6010 - [c129]Armin Berger, Tom Anglim Lagones, Lorenz Grigull, Lara Fendrich, Thiago Bell, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Rafet Sifa, Max Lübbering:
Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning. IEEE Big Data 2024: 6430-6438 - [c128]Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa:
Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. IEEE Big Data 2024: 8668-8670 - [c127]Thiago Bell, David Leonhard, Ali Hamza Bashir, Tim Dilmaghani Khameneh, Mohamed Khaled, Ulrich Warning, Rüdiger Loitz, Sandra Halscheidt, Jana Birr, Armin Berger, Rafet Sifa, David Berghaus:
Fine-Tuning Large Language Models for Compliance Checks. IEEE Big Data 2024: 8790-8792 - [c126]Maren Pielka, Rafet Sifa:
Insights About Causality Detection in Financial Text - Towards an Informed Approach. IEEE Big Data 2024: 8801-8804 - [c125]Daniel Uedelhoven, Max Lübbering, Christian Bauckhage, Rafet Sifa:
Table Structure Recognition via Encoder/Decoder Vision Transformers. IEEE Big Data 2024: 8855-8858 - [c124]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL-HLT (Findings) 2024: 3907-3924 - [c123]Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa:
Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. ECML/PKDD (4) 2024: 386-402 - [i29]Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa:
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. CoRR abs/2406.04156 (2024) - [i28]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea Maria John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Shima Asaadi, Fabio Barth, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr:
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. CoRR abs/2410.03730 (2024) - [i27]Helen Schneider, Sebastian Nowak, Aditya Parikh, Yannik C. Layer, Maike Theis, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems. CoRR abs/2410.21014 (2024) - [i26]Maren Pielka, Tobias Schneider, Jan Terheyden, Rafet Sifa:
[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. CoRR abs/2411.02973 (2024) - 2023
- [c122]Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa:
Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. IEEE Big Data 2023: 2523-2528 - [c121]Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. IEEE Big Data 2023: 2814-2822 - [c120]Armin Berger, Lars Hillebrand, David Leonhard, Tobias Deußer, Thiago Bell Felix De Oliveira, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. IEEE Big Data 2023: 4626-4635 - [c119]Maren Pielka, Svetlana Schmidt, Rafet Sifa:
Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. IEEE Big Data 2023: 4684-4692 - [c118]Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Is one label all you need? Single positive multi-label training in medical image analysis. IEEE Big Data 2023: 4963-4972 - [c117]Rafet Sifa, Fabian Hadiji:
Towards Retention Analysis in NFT-based Blockchain Games. IEEE Big Data 2023: 6271-6274 - [c116]Rafet Sifa, Edwin Yang:
A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games. IEEE Big Data 2023: 6275-6278 - [c115]Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa:
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. DocEng 2023: 9:1-9:4 - [c114]Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa:
Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference. ECIR (2) 2023: 553-561 - [c113]Helen Schneider, David Biesner, Akash Ashokan, Maximilian Broß, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa:
Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. ESANN 2023 - [c112]Lars Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa:
sustain.AI: a Recommender System to analyze Sustainability Reports. ICAIL 2023: 412-416 - [c111]Helen Schneider, Elif Cansu Yildiz, David Biesner, Yannik C. Layer, Benjamin Wulff, Sebastian Nowak, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis. ICANN (4) 2023: 165-176 - [c110]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR 2023 - [c109]Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa:
Controlled Randomness Improves the Performance of Transformer Models. ICMLA 2023: 1805-1810 - [c108]Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Patrick Hillebrand, Tim Metzler, Rafet Sifa:
Automatic Consistency Checking of Table and Text in Financial Documents. NLDL 2023 - [c107]Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Contradiction Detection in Financial Reports. NLDL 2023 - [c106]Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa:
Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. SSCI 2023: 318-322 - [i25]Lars Patrick Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa:
sustain.AI: a Recommender System to analyze Sustainability Reports. CoRR abs/2305.08711 (2023) - [i24]Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa:
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training. CoRR abs/2307.14666 (2023) - [i23]Tiansi Dong, Rafet Sifa:
Word Sense Disambiguation as a Game of Neurosymbolic Darts. CoRR abs/2307.16663 (2023) - [i22]Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa:
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. CoRR abs/2308.06111 (2023) - [i21]Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Informed Named Entity Recognition Decoding for Generative Language Models. CoRR abs/2308.07791 (2023) - [i20]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR abs/2310.08754 (2023) - [i19]Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa:
Controlled Randomness Improves the Performance of Transformer Models. CoRR abs/2310.13526 (2023) - [i18]Maren Pielka, Svetlana Schmidt, Rafet Sifa:
Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. CoRR abs/2310.14732 (2023) - [i17]Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage:
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. CoRR abs/2311.03076 (2023) - [i16]Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage:
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. CoRR abs/2311.15679 (2023) - 2022
- [j11]David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13(2): 151-161 (2022) - [j10]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Bounding open space risk with decoupling autoencoders in open set recognition. Int. J. Data Sci. Anal. 14(4): 351-373 (2022) - [c105]David Biesner, Kostadin Cvejoski, Rafet Sifa:
Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES 2022: 37:1-37:6 - [c104]Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk:
Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. ACSW 2022: 23-30 - [c103]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards automating Numerical Consistency Checks in Financial Reports. IEEE Big Data 2022: 5915-5924 - [c102]Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa:
Towards Generating Financial Reports from Tabular Data Using Transformers. CD-MAKE 2022: 221-232 - [c101]Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk:
DOTA 2 match prediction through deep learning team fight models. CoG 2022: 96-103 - [c100]Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. ESANN 2022 - [c99]Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco:
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. FUSION 2022: 1-8 - [c98]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
From Open Set Recognition Towards Robust Multi-class Classification. ICANN (3) 2022: 643-655 - [c97]Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa:
Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. ICDE Workshops 2022: 66-69 - [c96]David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa:
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. ICMLA 2022: 903-908 - [c95]David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa:
Improving Chest X-Ray Classification by RNN-based Patient Monitoring. ICMLA 2022: 946-950 - [c94]David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa:
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. ICMLA 2022: 1637-1642 - [c93]Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa:
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. ICMLA 2022: 1649-1653 - [c92]Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa:
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. ICMLA 2022: 1654-1659 - [c91]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. ICPR 2022: 606-612 - [c90]Robin Stenzel, Max Lübbering, Bilge Ulusay, Daniel Uedelhoven, Rafet Sifa:
Matching Experts to Questions: A Comparison of Recommender Systems. LWDA 2022: 57-66 - [c89]Lisa Pucknat, Maren Pielka, Rafet Sifa:
Towards Informed Pre-Training for Critical Error Detection in English-German. LWDA 2022: 104-110 - [c88]Helen Schneider, Max Lübbering, Rebecca Kador, Maximilian Broß, Priya Priya, David Biesner, Benjamin Wulff, Thiago Bell Felix de Oliveira, Yannik C. Layer, Ulrike I. Attenberger, Rafet Sifa:
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. SSCI 2022: 543-550 - [c87]Hanna Kondratiuk, Rafet Sifa:
Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations. SSCI 2022: 1127-1134 - [i15]Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco:
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR abs/2204.11133 (2022) - [i14]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. CoRR abs/2208.02140 (2022) - [i13]Christian Bauckhage, Helen Schneider, Benjamin Wulff, Rafet Sifa:
Gradient Flows for L2 Support Vector Machine Training. CoRR abs/2208.04365 (2022) - [i12]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR abs/2210.01241 (2022) - [i11]Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa:
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. CoRR abs/2210.09163 (2022) - [i10]Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa:
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. CoRR abs/2210.10434 (2022) - [i9]David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa:
Improving Chest X-Ray Classification by RNN-based Patient Monitoring. CoRR abs/2210.16074 (2022) - [i8]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards automating Numerical Consistency Checks in Financial Reports. CoRR abs/2211.06112 (2022) - [i7]David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa:
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. CoRR abs/2211.07716 (2022) - [i6]Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa:
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference. CoRR abs/2212.07428 (2022) - 2021
- [j9]Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. IEEE Access 9: 169044-169055 (2021) - [j8]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3(1): 123-167 (2021) - [c86]Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk:
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW 2021: 24:1-24:8 - [c85]Hanna Kondratiuk, Rafet Sifa:
Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls. CoG 2021: 1-4 - [c84]Rafet Sifa:
Predicting Player Churn with Echo State Networks. CoG 2021: 1-5 - [c83]Rajkumar Ramamurthy, Maren Pielka, Robin Stenzel, Christian Bauckhage, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Bernd Kliem, Rüdiger Loitz:
ALiBERT: improved automated list inspection (ALI) with BERT. DocEng 2021: 20:1-20:4 - [c82]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA 2021: 1-10 - [c81]Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. ESANN 2021 - [c80]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) 2021: 15-27 - [c79]Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa:
Knowledge Graph Based Question Answering System for Financial Securities. KI 2021: 44-50 - [c78]Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa:
An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. LION 2021: 1-6 - [c77]Hanna Kondratiuk, Rafet Sifa:
Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls. LION 2021: 157-166 - [c76]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa:
Utilizing Representation Learning for Robust Text Classification Under Datasetshift. LWDA 2021: 157-162 - [c75]Lisa Pucknat, Maren Pielka, Rafet Sifa:
Detecting Contradictions in German Text: A Comparative Study. SSCI 2021: 1-7 - [c74]Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa:
Automatic Indexing of Financial Documents via Information Extraction. SSCI 2021: 1-5 - [c73]Abdul Wahab, Rafet Sifa:
DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers. SSCI 2021: 1-8 - [i5]Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR abs/2112.10712 (2021) - 2020
- [j7]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting:
Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. 34(1): 57-67 (2020) - [c72]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE 2020: 401-422 - [c71]Rhys Agombar, Max Lübbering, Rafet Sifa:
A Clustering Backed Deep Learning Approach for Document Layout Analysis. CD-MAKE 2020: 423-430 - [c70]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [c69]Izel Çavusoglu, Maren Pielka, Rafet Sifa:
Adapting Established Text Representations for Predicting Review Sentiment in Turkish. DSAA 2020: 755-756 - [c68]Hanna Kondratiuk, Rafet Sifa:
Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls. DSAA 2020: 765-766 - [c67]Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage:
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) 2020: 27-38 - [c66]Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa:
Hopfield Networks for Vector Quantization. ICANN (2) 2020: 192-203 - [c65]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Guided Reinforcement Learning via Sequence Learning. ICANN (2) 2020: 335-345 - [c64]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) 2020: 566-581 - [c63]Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage:
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR 2020: 6696-6701 - [c62]Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke:
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA 2020: 548-560 - [c61]Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa:
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN 2020: 1-6 - [c60]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN 2020: 1-8 - [c59]Christian Bauckhage, Rafet Sifa, Dirk Hecker:
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) 2020: 703-707 - [c58]Rafet Sifa, Christian Bauckhage:
Novelty Discovery with Kernel Minimum Enclosing Balls. LION 2020: 414-420 - [c57]Rafet Sifa:
DESICOM as Metaheuristic Search. LION 2020: 421-427 - [c56]Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen:
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) 2020: 297-308 - [c55]Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Max-Sum Diversification. SDM 2020: 343-351 - [c54]David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa:
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. SwissText/KONVENS 2020 - [i4]Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR abs/2011.08272 (2020) - [i3]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. CoRR abs/2012.05685 (2020)
2010 – 2019
- 2019
- [b1]Rafet Sifa:
A machine learning perspective on unraveling, modeling and predicting player behavior in digital games. University of Bonn, Germany, 2019, pp. 1-215 - [j6]Günter Wallner, Christopher Schinnerl, Michael Helfried Schiller, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen:
Beyond the individual: Understanding social structures of an online player matchmaking website. Entertain. Comput. 30 (2019) - [j5]Michael Helfried Schiller, Günter Wallner, Christopher Schinnerl, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen:
Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity. IEEE Trans. Games 11(4): 416-425 (2019) - [c53]Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk:
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW 2019: 45:1-45:7 - [c52]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN 2019: 22-29 - [c51]Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, Christin Pünt:
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. DocEng 2019: 36:1-36:4 - [c50]Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz:
Towards Automated Auditing with Machine Learning. DocEng 2019: 41:1-41:4 - [c49]Christian Bauckhage, Rafet Sifa:
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA 2019: 252-259 - [c48]Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen:
The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG 2019: 41:1-41:11 - [c47]Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage:
Echo State Networks for Named Entity Recognition. ICANN (Workshop) 2019: 110-120 - [c46]Christian Bauckhage, Rafet Sifa, Tiansi Dong:
Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) 2019: 365-376 - [c45]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel:
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) 2019: 595-607 - [c44]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [c43]Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage:
A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) 2019: 553-565 - [c42]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c41]Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
Max-Sum Dispersion via Quantum Annealing. LWDA 2019: 64-68 - [c40]Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI 2019: 2497-2505 - 2018
- [j4]Ryan Perry, Anders Drachen, Allison Kearney, Simone Kriglstein, Lennart E. Nacke, Rafet Sifa, Guenter Wallner, Daniel M. Johnson:
Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play. Comput. Hum. Behav. 79: 202-210 (2018) - [j3]Johanna Pirker, André Rattinger, Anders Drachen, Rafet Sifa:
Analyzing player networks in Destiny. Entertain. Comput. 25: 71-83 (2018) - [c39]Rafet Sifa, Eric Pawlakos, Kevin Zhai, Sai Haran, Rohan Jha, Diego Klabjan, Anders Drachen:
Controlling the crucible: a novel PvP recommender systems framework for destiny. ACSW 2018: 39:1-39:10 - [c38]Anders Drachen, Mari Pastor, Aron Liu, Dylan Jack Fontaine, Yuan Chang, Julian Runge, Rafet Sifa, Diego Klabjan:
To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. ACSW 2018: 40:1-40:10 - [c37]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage:
Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. AIIDE 2018: 102-108 - [c36]Christian Drescher, Guenter Wallner, Simone Kriglstein, Rafet Sifa, Anders Drachen, Margit Pohl:
What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data. CHI 2018: 560 - [c35]Rafet Sifa, Julian Runge, Christian Bauckhage, Daniel Klapper:
Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE. HICSS 2018: 1-10 - [c34]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Policy Learning Using SPSA. ICANN (3) 2018: 3-12 - [c33]Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) 2018: 13-22 - [c32]Rafet Sifa:
An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. ICANN (2) 2018: 369-379 - [c31]Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA 2018: 21-32 - [c30]Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel:
Informed Machine Learning Through Functional Composition. LWDA 2018: 33-37 - 2017
- [c29]Yaser Norouzzadeh Ravari, Pieter Spronck, Rafet Sifa, Anders Drachen:
Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny. AIIDE 2017: 207-213 - [c28]Mike Schaekermann, Giovanni Ribeiro, Guenter Wallner, Simone Kriglstein, Daniel M. Johnson, Anders Drachen, Rafet Sifa, Lennart E. Nacke:
Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny". CHI PLAY 2017: 143-156 - [c27]Tom Stafford, Sam Devlin, Rafet Sifa, Anders Drachen:
Exploration and Skill Acquisition in a Major Online Game. CogSci 2017 - [c26]Rafet Sifa, Christian Bauckhage:
Online k-Maxoids Clustering. DSAA 2017: 667-675 - [c25]Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel:
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR 2017: 3-17 - [c24]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM 2017: 644-647 - [c23]Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage:
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA 2017: 74 - [c22]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. LWDA 2017: 87 - 2016
- [c21]Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Rafet Sifa, Julian Runge, Diego Klabjan:
Rapid Prediction of Player Retention in Free-to-Play Mobile Games. AIIDE 2016: 23-29 - [c20]Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan:
Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. CIG 2016: 1-8 - [c19]Anders Drachen, Nicholas Ross, Julian Runge, Rafet Sifa:
Stylized facts for mobile game analytics. CIG 2016: 1-8 - [c18]Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage:
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. CIG 2016: 1-8 - [c17]Marco Tamassia, William L. Raffe, Rafet Sifa, Anders Drachen, Fabio Zambetta, Michael Hitchens:
Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game. CIG 2016: 1-8 - [c16]André Rattinger, Günter Wallner, Anders Drachen, Johanna Pirker, Rafet Sifa:
Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny. ICEC 2016: 77-89 - [c15]Johanna Pirker, Simone Griesmayr, Anders Drachen, Rafet Sifa:
How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2. ICEC 2016: 90-101 - [c14]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358 - [i2]Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge:
Rapid Prediction of Player Retention in Free-to-Play Mobile Games. CoRR abs/1607.03202 (2016) - 2015
- [j2]Christian Bauckhage, Anders Drachen, Rafet Sifa:
Clustering Game Behavior Data. IEEE Trans. Comput. Intell. AI Games 7(3): 266-278 (2015) - [c13]Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage:
Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE 2015: 79-85 - [c12]Rafet Sifa, Anders Drachen, Christian Bauckhage:
Large-Scale Cross-Game Player Behavior Analysis on Steam. AIIDE 2015: 198-204 - [c11]Christian Bauckhage, Rafet Sifa:
k-Maxoids Clustering. LWA 2015: 133-144 - [c10]Rafet Sifa, César Ojeda, Christian Bauckhage:
User Churn Migration Analysis with DEDICOM. RecSys 2015: 321-324 - 2014
- [j1]Anders Drachen, Rafet Sifa, Christian Thurau:
The name in the game: Patterns in character names and gamer tags. Entertain. Comput. 5(1): 21-32 (2014) - [c9]Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau, Fabian Hadiji:
Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels. CIG 2014: 1-8 - [c8]Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, Christian Bauckhage:
Predicting player churn in the wild. CIG 2014: 1-8 - [c7]Rafet Sifa, Christian Bauckhage, Anders Drachen:
The Playtime Principle: Large-scale cross-games interest modeling. CIG 2014: 1-8 - [c6]Rafet Sifa, Christian Bauckhage, Anders Drachen:
Archetypal Game Recommender Systems. LWA 2014: 45-56 - [i1]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A Comparison of Methods for Player Clustering via Behavioral Telemetry. CoRR abs/1407.3950 (2014) - 2013
- [c5]Rafet Sifa, Christian Bauckhage:
Archetypical motion: Supervised game behavior learning with Archetypal Analysis. CIG 2013: 1-8 - [c4]Rafet Sifa, Anders Drachen, Christian Bauckhage, Christian Thurau, Alessandro Canossa:
Behavior evolution in Tomb Raider Underworld. CIG 2013: 1-8 - [c3]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A comparison of methods for player clustering via behavioral telemetry. FDG 2013: 245-252 - 2012
- [c2]Christian Bauckhage, Kristian Kersting, Rafet Sifa, Christian Thurau, Anders Drachen, Alessandro Canossa:
How players lose interest in playing a game: An empirical study based on distributions of total playing times. CIG 2012: 139-146 - [c1]Anders Drachen, Rafet Sifa, Christian Bauckhage, Christian Thurau:
Guns, swords and data: Clustering of player behavior in computer games in the wild. CIG 2012: 163-170
Coauthor Index
[c139] [c135] [c134] [c133] [c132] [c130] [c125] [c123] [i29] [c121] [c120] [c115] [c110] [c109] [c107] [i22] [i21] [i19] [i17] [i16] [j11] [j10] [c103] [c102] [c99] [c98] [c96] [c92] [c91] [i15] [i14] [i13] [i12] [i11] [i8] [j9] [j8] [c83] [c82] [c81] [c78] [c76] [c74] [i5] [j7] [c72] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c55] [i4] [c52] [c51] [c50] [c49] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c37] [c35] [c34] [c33] [c31] [c30] [c26] [c25] [c24] [c23] [c22] [c18] [c14] [j2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [c1]
Lars Patrick Hillebrand
aka: Lars Hillebrand
aka: Lars Hillebrand
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