Rafet Sifa - RankMe

224 papers A* 3A 5B 57C 18Misc 2Journal 59Unranked 78

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law. CoRR Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski, Jana Birr, Jule Berghaus, Armin Berger, Sandra Halscheidt, Christian Temath, Rafet Sifa, David Berghaus
2026	J	`jnl`	Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation. CoRR Wesam Moustafa, Hossam Elsafty, Helen Schneider, Lorenz Sparrenberg, Rafet Sifa
2026	J	`jnl`	Is continuous CoT better suited for multi-lingual reasoning? CoRR Ali Hamza Bashir, Behzad Shomali, Markus Frey, Mehdi Ali, Rafet Sifa, David Berghaus
2026	J	`jnl`	Modalities, a PyTorch-native Framework For Large-scale LLM Training and Research. CoRR Max Lübbering, Timm Ruland, Richard Rutmann, Felix Stollenwerk, David Fitzek, Michael Fromm, Alexander Arno Weber, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Mehdi Ali
2026	—	`book`	Quantum Computing from Hopfield Nets - A Textbook with Python Code Examples Christian Bauckhage, Rafet Sifa
2026	—	`conf`	Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety. ECIR (3) Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa
2026	J	`jnl`	Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety. CoRR Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa
2025	B	`conf`	A Survey on Current Trends and Recent Advances in Text Anonymization. DSAA Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa
2025	J	`jnl`	A Survey on Current Trends and Recent Advances in Text Anonymization. CoRR Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa
2025	J	`jnl`	Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. CoRR Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa
2025	A	`conf`	ArDia: Improving Arabic Dialectal Language Classification Using a Novel Dataset. ICWSM Hossam Elsafty, Bouthaina Abdou, Tobias Deußer, Maren Pielka, Christian Bauckhage, Rafet Sifa
2025	B	`conf`	Arabic OCR in the Age of Multimodal Models: A Comprehensive Comparative Evaluation. IEEE Big Data Hossam Elsafty, Farizeh Aldabbas, Rafet Sifa
2025	—	`conf`	Architectural Proposal for Reproducible, Standardized Deep Learning Research. ICSA Companion Max Lübbering, Vijul Shah, Moinam Chatterjee, Priya Priya, Osama Soliman, Rafet Sifa
2025	J	`jnl`	Automating translation checks of financial documents using large language models. Lang. Resour. Evaluation Maren Pielka, Max Hahnbück, Tobias Deußer, Daniel Uedelhoven, Moinam Chatterjee, Vijul Shah, Osama Soliman, Jannis von der Bank, Writwick Das, Maria Chiara Talarico, Cong Zhao, Carolina Held Celis, Christian Temath, Rafet Sifa
2025	J	`jnl`	Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients. CoRR Armin Berger, Manuela Bergau, Helen Schneider, Saad Ahmad, Tom Anglim Lagones, Gianluca Brugnara, Martha Foltyn-Dumitru, Kai Schlamp, Philipp Vollmuth, Rafet Sifa
2025	—	`conf`	Bridging Language and Scenes through Explicit 3-D Model Construction. COLING Workshops Tiansi Dong, Writwick Das, Rafet Sifa
2025	B	`conf`	First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery. DSAA Priya Tomar, Maximilian Broß, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa
2025	B	`conf`	From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening. IEEE Big Data Muskaan Chopra, Lorenz Sparrenberg, Armin Berger, Sarthak Khanna, Jan H. Terheyden, Rafet Sifa
2025	J	`jnl`	From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening. CoRR Muskaan Chopra, Lorenz Sparrenberg, Armin Berger, Sarthak Khanna, Jan H. Terheyden, Rafet Sifa
2025	B	`conf`	History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. IEEE Big Data Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa
2025	J	`jnl`	History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. CoRR Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa
2025	B	`conf`	How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation. IEEE Big Data Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa
2025	J	`jnl`	How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation. CoRR Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa
2025	—	`conf`	Improving Language Model Performance by Training on Prototypical Contradictions. ECIR (3) Maren Pielka, Marie-Christin Freischlad, Svetlana Schmidt, Rafet Sifa
2025	J	`jnl`	Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM. CoRR Lars Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa
2025	A*	`conf`	Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. EMNLP Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, Felix Stollenwerk, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025	J	`jnl`	Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. CoRR Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025	B	`conf`	Leveraging Synthetically Generated Data for Real Estate Document Classification. IEEE Big Data Tobias Deußer, Gregor Ramien, Nico Weber, Maximilian Meidinger, Max Hahnbück, Christian Bauckhage, Rafet Sifa
2025	B	`conf`	Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation. IEEE Big Data Priya Tomar, Aditya Parikh, Christian Bauckhage, Rafet Sifa
2025	B	`conf`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. IEEE Big Data David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	J	`jnl`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. CoRR David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	—	`conf`	MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning. COLING Workshops Farizeh Aldabbas, Shaina Ashraf, Rafet Sifa, Lucie Flek
2025	B	`conf`	Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning. DSAA Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa
2025	—	`conf`	Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. COLING Workshops Kang Liu, Yangqiu Song, Zhen Han, Rafet Sifa, Shizhu He, Yunfei Long
2025	B	`conf`	Reasoning LLMs in the Medical Domain: A Literature Survey. DSAA Armin Berger, Sarthak Khanna, Lorenz Sparrenberg, Tobias Deußer, David Berghaus, Rafet Sifa
2025	J	`jnl`	Reasoning LLMs in the Medical Domain: A Literature Survey. CoRR Armin Berger, Sarthak Khanna, David Berghaus, Rafet Sifa
2025	—	`conf`	Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models. COLING (Industry) Tobias Deußer, Max Hahnbück, Tobias Uelwer, Cong Zhao, Christian Bauckhage, Rafet Sifa
2025	B	`conf`	Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp. DSAA Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa
2025	J	`jnl`	SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation. CoRR Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa
2025	A	`conf`	Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. ECAI 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 John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Fabio Barth, Paramita Mirza, Lucas Weber, Ines Wendler, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr
2025	B	`conf`	Towards Automated Recipe Reconstruction: Optimization of Dietary Data Collection using Information Retrieval, Large Language Models and Mathematical Optimization. IEEE Big Data Svetlana Schmidt, Linda Klasen, Ute Nöthlings, Rafet Sifa
2025	J	`jnl`	Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. CoRR 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
2025	B	`conf`	Towards Uncertainty-Aware Low-Bit Quantized LLMs for On-Device Inference. IEEE Big Data Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Armin Berger, Rafet Sifa
2025	B	`conf`	Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. DSAA Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
2025	J	`jnl`	Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. CoRR Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
2024	B	`conf`	A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. IEEE Big Data Tobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024	B	`conf`	Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. IEEE Big Data 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
2024	B	`conf`	Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. IEEE Big Data Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa
2024	B	`conf`	Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits. IEEE Big Data Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa
2024	B	`conf`	Fine-Tuning Large Language Models for Compliance Checks. IEEE Big Data 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
2024	B	`conf`	Fusing Speech and Language Models for Dementia Detection. IEEE Big Data Tobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa
2024	J	`jnl`	Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems. CoRR Helen Schneider, Sebastian Nowak, Aditya Parikh, Yannik C. Layer, Maike Theis, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa
2024	B	`conf`	Informed Named Entity Recognition Decoding for Generative Language Models. IEEE Big Data Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024	B	`conf`	Insights About Causality Detection in Financial Text - Towards an Informed Approach. IEEE Big Data Maren Pielka, Rafet Sifa
2024	B	`conf`	Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. IEEE Big Data Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024	B	`conf`	Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking. IEEE Big Data Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage
2024	B	`conf`	Optimizing Rare Disease Patient Matching with Large Language Models. IEEE Big Data 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
2024	J	`jnl`	Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. CoRR Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa
2024	—	`conf`	Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. ECML/PKDD (4) Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa
2024	B	`conf`	Table Structure Recognition via Encoder/Decoder Vision Transformers. IEEE Big Data Daniel Uedelhoven, Max Lübbering, Christian Bauckhage, Rafet Sifa
2024	B	`conf`	Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning. IEEE Big Data Armin Berger, Tom Anglim Lagones, Lorenz Grigull, Lara Fendrich, Thiago Bell, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Rafet Sifa, Max Lübbering
2024	J	`jnl`	Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. CoRR 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
2024	—	`conf`	Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL-HLT (Findings) 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
2024	B	`conf`	[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. IEEE Big Data Maren Pielka, Tobias Schneider, Jan H. Terheyden, Rafet Sifa
2024	J	`jnl`	[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. CoRR Maren Pielka, Tobias Schneider, Jan H. Terheyden, Rafet Sifa
2023	B	`conf`	A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games. IEEE Big Data Rafet Sifa, Edwin Yang
2023	—	`conf`	Automatic Consistency Checking of Table and Text in Financial Documents. NLDL Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Patrick Hillebrand, Tim Metzler, Rafet Sifa
2023	—	`conf`	Contradiction Detection in Financial Reports. NLDL Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2023	C	`conf`	Controlled Randomness Improves the Performance of Transformer Models. ICMLA Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa
2023	J	`jnl`	Controlled Randomness Improves the Performance of Transformer Models. CoRR Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa
2023	B	`conf`	Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. IEEE Big Data Maren Pielka, Svetlana Schmidt, Rafet Sifa
2023	J	`jnl`	Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. CoRR Maren Pielka, Svetlana Schmidt, Rafet Sifa
2023	—	`conf`	Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. SSCI Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa
2023	J	`jnl`	Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training. CoRR Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa
2023	B	`conf`	Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. DocEng Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa
2023	J	`jnl`	Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. CoRR Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa
2023	J	`jnl`	Informed Named Entity Recognition Decoding for Generative Language Models. CoRR Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2023	A*	`conf`	Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2023	B	`conf`	Is one label all you need? Single positive multi-label training in medical image analysis. IEEE Big Data Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa
2023	B	`conf`	Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. IEEE Big Data Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa
2023	J	`jnl`	Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. CoRR Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage
2023	B	`conf`	Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. ESANN Helen Schneider, David Biesner, Akash Ashokan, Maximilian Broß, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa
2023	J	`jnl`	SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. CoRR Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage
2023	—	`conf`	Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis. ICANN (4) Helen Schneider, Elif Cansu Yildiz, David Biesner, Yannik C. Layer, Benjamin Wulff, Sebastian Nowak, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa
2023	J	`jnl`	Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR 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
2023	B	`conf`	Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. IEEE Big Data 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
2023	—	`conf`	Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference. ECIR (2) Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa
2023	B	`conf`	Towards Retention Analysis in NFT-based Blockchain Games. IEEE Big Data Rafet Sifa, Fabian Hadiji
2023	B	`conf`	Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. IEEE Big Data Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2023	J	`jnl`	Word Sense Disambiguation as a Game of Neurosymbolic Darts. CoRR Tiansi Dong, Rafet Sifa
2023	C	`conf`	sustain.AI: a Recommender System to analyze Sustainability Reports. ICAIL 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
2023	J	`jnl`	sustain.AI: a Recommender System to analyze Sustainability Reports. CoRR 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
2022	C	`conf`	A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. ICMLA Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa
2022	J	`jnl`	A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. CoRR Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa
2022	—	`conf`	Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. ACSW Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk
2022	J	`jnl`	Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2022	J	`jnl`	Bounding open space risk with decoupling autoencoders in open set recognition. Int. J. Data Sci. Anal. Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
2022	B	`conf`	Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES David Biesner, Kostadin Cvejoski, Rafet Sifa
2022	C	`conf`	DOTA 2 match prediction through deep learning team fight models. CoG Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk
2022	—	`conf`	Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. ICDE Workshops Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa
2022	—	`conf`	From Open Set Recognition Towards Robust Multi-class Classification. ICANN (3) Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
2022	J	`jnl`	Gradient Flows for L2 Support Vector Machine Training. CoRR Christian Bauckhage, Helen Schneider, Benjamin Wulff, Rafet Sifa
2022	C	`conf`	Improving Chest X-Ray Classification by RNN-based Patient Monitoring. ICMLA David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa
2022	J	`jnl`	Improving Chest X-Ray Classification by RNN-based Patient Monitoring. CoRR David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa
2022	B	`conf`	Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. ESANN Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa
2022	—	`conf`	Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations. SSCI Hanna Kondratiuk, Rafet Sifa
2022	J	`jnl`	Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2022	B	`conf`	KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. ICPR Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2022	J	`jnl`	KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. CoRR Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2022	C	`conf`	KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. ICMLA Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa
2022	J	`jnl`	KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. CoRR Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa
2022	—	`conf`	Matching Experts to Questions: A Comparison of Recommender Systems. LWDA Robin Stenzel, Max Lübbering, Bilge Ulusay, Daniel Uedelhoven, Rafet Sifa
2022	C	`conf`	Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. ICMLA David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa
2022	C	`conf`	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. FUSION Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
2022	J	`jnl`	Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
2022	C	`conf`	Towards Generating Financial Reports from Tabular Data Using Transformers. CD-MAKE Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa
2022	—	`conf`	Towards Informed Pre-Training for Critical Error Detection in English-German. LWDA Lisa Pucknat, Maren Pielka, Rafet Sifa
2022	J	`jnl`	Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference. CoRR Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa
2022	—	`conf`	Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. SSCI 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
2022	B	`conf`	Towards automating Numerical Consistency Checks in Financial Reports. IEEE Big Data Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2022	J	`jnl`	Towards automating Numerical Consistency Checks in Financial Reports. CoRR Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
2022	C	`conf`	Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. ICMLA David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa
2022	J	`jnl`	Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. CoRR David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa
2021	B	`conf`	ALiBERT: improved automated list inspection (ALI) with BERT. DocEng Rajkumar Ramamurthy, Maren Pielka, Robin Stenzel, Christian Bauckhage, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Bernd Kliem, Rüdiger Loitz
2021	—	`conf`	Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2021	—	`conf`	An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. LION Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa
2021	—	`conf`	Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk
2021	—	`conf`	Automatic Indexing of Financial Documents via Information Extraction. SSCI Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa
2021	—	`conf`	DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers. SSCI Abdul Wahab, Rafet Sifa
2021	B	`conf`	Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
2021	—	`conf`	Detecting Contradictions in German Text: A Comparative Study. SSCI Lisa Pucknat, Maren Pielka, Rafet Sifa
2021	J	`jnl`	Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
2021	J	`jnl`	Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa
2021	Misc	`conf`	Knowledge Graph Based Question Answering System for Financial Securities. KI Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa
2021	C	`conf`	Predicting Player Churn with Echo State Networks. CoG Rafet Sifa
2021	C	`conf`	Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls. CoG Hanna Kondratiuk, Rafet Sifa
2021	J	`jnl`	Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. IEEE Access Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
2021	—	`conf`	Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls. LION Hanna Kondratiuk, Rafet Sifa
2021	B	`conf`	Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. ESANN Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
2021	—	`conf`	Utilizing Representation Learning for Robust Text Classification Under Datasetshift. LWDA Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa
2020	C	`conf`	A Clustering Backed Deep Learning Approach for Document Layout Analysis. CD-MAKE Rhys Agombar, Max Lübbering, Rafet Sifa
2020	B	`conf`	Adapting Established Text Representations for Predicting Review Sentiment in Turkish. DSAA Izel Çavusoglu, Maren Pielka, Rafet Sifa
2020	A	`conf`	Adiabatic Quantum Computing for Max-Sum Diversification. SDM Christian Bauckhage, Rafet Sifa, Stefan Wrobel
2020	B	`conf`	Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke
2020	—	`conf`	DESICOM as Metaheuristic Search. LION Rafet Sifa
2020	—	`conf`	From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage
2020	J	`jnl`	Generative Deep Learning Techniques for Password Generation. CoRR David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2020	—	`conf`	Guided Reinforcement Learning via Sequence Learning. ICANN (2) Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
2020	—	`conf`	Hopfield Networks for Vector Quantization. ICANN (2) Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa
2020	—	`conf`	Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. SwissText/KONVENS David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa
2020	C	`conf`	Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa
2020	J	`jnl`	Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting
2020	J	`jnl`	NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
2020	—	`conf`	Novelty Discovery with Kernel Minimum Enclosing Balls. LION Rafet Sifa, Christian Bauckhage
2020	B	`conf`	Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
2020	B	`conf`	Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa
2020	—	`conf`	Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen
2020	B	`conf`	Shells within Minimum Enclosing Balls. DSAA Christian Bauckhage, Michael Bortz, Rafet Sifa
2020	—	`conf`	Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
2020	B	`conf`	Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage
2020	B	`conf`	Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls. DSAA Hanna Kondratiuk, Rafet Sifa
2020	—	`conf`	tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) Christian Bauckhage, Rafet Sifa, Dirk Hecker
2019	—	`conf`	A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage
2019	B	`conf`	A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. DocEng Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, Christin Pünt
2019	—	`conf`	A QUBO Formulation of the k-Medoids Problem. LWDA Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019	—	`conf`	A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk
2019	—	`—`	A machine learning perspective on unraveling, modeling and predicting player behavior in digital games. Rafet Sifa
2019	J	`jnl`	Beyond the individual: Understanding social structures of an online player matchmaking website. Entertain. Comput. Günter Wallner, Christopher Schinnerl, Michael Helfried Schiller, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen
2019	—	`conf`	Echo State Networks for Named Entity Recognition. ICANN (Workshop) Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage
2019	J	`jnl`	Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity. IEEE Trans. Games Michael Helfried Schiller, Günter Wallner, Christopher Schinnerl, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen
2019	B	`conf`	Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA Christian Bauckhage, Rafet Sifa
2019	—	`conf`	Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel
2019	—	`conf`	Max-Sum Dispersion via Quantum Annealing. LWDA Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019	—	`conf`	Patterns and Outliers in Temporal Point Processes. IntelliSys (1) César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage
2019	—	`conf`	Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) Christian Bauckhage, Rafet Sifa, Tiansi Dong
2019	C	`conf`	The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen
2019	B	`conf`	Towards Automated Auditing with Machine Learning. DocEng 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
2019	—	`conf`	Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage
2019	—	`conf`	Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN Eduardo Brito, Rafet Sifa, Christian Bauckhage
2018	—	`conf`	Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel
2018	—	`conf`	An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. ICANN (2) Rafet Sifa
2018	J	`jnl`	Analyzing player networks in Destiny. Entertain. Comput. Johanna Pirker, André Rattinger, Anders Drachen, Rafet Sifa
2018	—	`conf`	Controlling the crucible: a novel PvP recommender systems framework for ACSW Rafet Sifa, Eric Pawlakos, Kevin Zhai, Sai Haran, Rohan Jha, Diego Klabjan, Anders Drachen
2018	—	`conf`	Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE. HICSS Rafet Sifa, Julian Runge, Christian Bauckhage, Daniel Klapper
2018	—	`conf`	Informed Machine Learning Through Functional Composition. LWDA Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel
2018	—	`conf`	Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. AIIDE Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage
2018	J	`jnl`	Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play. Comput. Hum. Behav. Ryan Perry, Anders Drachen, Allison Kearney, Simone Kriglstein, Lennart E. Nacke, Rafet Sifa, Guenter Wallner, Daniel M. Johnson
2018	—	`conf`	Policy Learning Using SPSA. ICANN (3) Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel
2018	—	`conf`	Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage
2018	—	`conf`	To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. ACSW Anders Drachen, Mari Pastor, Aron Liu, Dylan Jack Fontaine, Yuan Chang, Julian Runge, Rafet Sifa, Diego Klabjan
2018	A*	`conf`	What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data. CHI Christian Drescher, Guenter Wallner, Simone Kriglstein, Rafet Sifa, Anders Drachen, Margit Pohl
2017	Misc	`conf`	Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny". CHI PLAY Mike Schaekermann, Giovanni Ribeiro, Guenter Wallner, Simone Kriglstein, Daniel M. Johnson, Anders Drachen, Rafet Sifa, Lennart E. Nacke
2017	B	`conf`	Exploration and Skill Acquisition in a Major Online Game. CogSci Tom Stafford, Sam Devlin, Rafet Sifa, Anders Drachen
2017	—	`conf`	Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage
2017	A	`conf`	Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage
2017	—	`conf`	Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel
2017	—	`conf`	KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. LWDA Eduardo Brito, Rafet Sifa, Christian Bauckhage
2017	B	`conf`	Online k-Maxoids Clustering. DSAA Rafet Sifa, Christian Bauckhage
2017	—	`conf`	Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny. AIIDE Yaser Norouzzadeh Ravari, Pieter Spronck, Rafet Sifa, Anders Drachen
2016	—	`conf`	Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. CIG Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan
2016	C	`conf`	How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2. ICEC Johanna Pirker, Simone Griesmayr, Anders Drachen, Rafet Sifa
2016	C	`conf`	Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny. ICEC André Rattinger, Günter Wallner, Anders Drachen, Johanna Pirker, Rafet Sifa
2016	—	`conf`	Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. CIG Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage
2016	—	`conf`	Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game. CIG Marco Tamassia, William L. Raffe, Rafet Sifa, Anders Drachen, Fabio Zambetta, Michael Hitchens
2016	—	`conf`	Rapid Prediction of Player Retention in Free-to-Play Mobile Games. AIIDE Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Rafet Sifa, Julian Runge, Diego Klabjan
2016	J	`jnl`	Rapid Prediction of Player Retention in Free-to-Play Mobile Games. CoRR Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge
2016	—	`conf`	Stylized facts for mobile game analytics. CIG Anders Drachen, Nicholas Ross, Julian Runge, Rafet Sifa
2016	—	`conf`	Variable Attention and Variable Noise: Forecasting User Activity. LWDA César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage
2015	J	`jnl`	Clustering Game Behavior Data. IEEE Trans. Comput. Intell. AI Games Christian Bauckhage, Anders Drachen, Rafet Sifa
2015	—	`conf`	Large-Scale Cross-Game Player Behavior Analysis on Steam. AIIDE Rafet Sifa, Anders Drachen, Christian Bauckhage
2015	—	`conf`	Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage
2015	A	`conf`	User Churn Migration Analysis with DEDICOM. RecSys Rafet Sifa, César Ojeda, Christian Bauckhage
2015	—	`conf`	k-Maxoids Clustering. LWA Christian Bauckhage, Rafet Sifa
2014	J	`jnl`	A Comparison of Methods for Player Clustering via Behavioral Telemetry. CoRR Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage
2014	—	`conf`	Archetypal Game Recommender Systems. LWA Rafet Sifa, Christian Bauckhage, Anders Drachen
2014	—	`conf`	Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels. CIG Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau, Fabian Hadiji
2014	—	`conf`	Predicting player churn in the wild. CIG Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, Christian Bauckhage
2014	—	`conf`	The Playtime Principle: Large-scale cross-games interest modeling. CIG Rafet Sifa, Christian Bauckhage, Anders Drachen
2014	J	`jnl`	The name in the game: Patterns in character names and gamer tags. Entertain. Comput. Anders Drachen, Rafet Sifa, Christian Thurau
2013	C	`conf`	A comparison of methods for player clustering via behavioral telemetry. FDG Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage
2013	—	`conf`	Archetypical motion: Supervised game behavior learning with Archetypal Analysis. CIG Rafet Sifa, Christian Bauckhage
2013	—	`conf`	Behavior evolution in Tomb Raider Underworld. CIG Rafet Sifa, Anders Drachen, Christian Bauckhage, Christian Thurau, Alessandro Canossa
2012	—	`conf`	Guns, swords and data: Clustering of player behavior in computer games in the wild. CIG Anders Drachen, Rafet Sifa, Christian Bauckhage, Christian Thurau
2012	—	`conf`	How players lose interest in playing a game: An empirical study based on distributions of total playing times. CIG Christian Bauckhage, Kristian Kersting, Rafet Sifa, Christian Thurau, Anders Drachen, Alessandro Canossa