default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRafet Sifa
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[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]