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ORCIDRafet Sifa
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Publications
- 2024
[c122]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- [i26]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) - 2023
- [c120]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 - [c119]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 - [c114]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 - [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 - [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 - [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) - [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) - [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) - [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 - [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 - [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 - [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 - [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) - [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) - 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) - [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 - [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 - [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 - [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 - [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 - [c70]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [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 - [c55]Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Max-Sum Diversification. SDM 2020: 343-351 - [i4]Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR abs/2011.08272 (2020) - 2019
- [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 - [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
- [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 - [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 - [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
- [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
- [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 - [c14]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358 - 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
- [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
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