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2020 – today
- 2024
[c204]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- [i51]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
- [j42]Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing:
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). Int. J. Comput. Vis. 131(5): 1210 (2023) - [j41]Laura von Rüden
, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35(1): 614-633 (2023) - [c203]Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke:
A New Aligned Simple German Corpus. ACL (1) 2023: 11393-11412 - [c202]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 - [c201]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 - [c200]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 - [c199]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 - [c198]Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa:
Controlled Randomness Improves the Performance of Transformer Models. ICMLA 2023: 1805-1810 - [c197]Laura von Rüden, Jochen Garcke, Christian Bauckhage:
How Does Knowledge Injection Help in Informed Machine Learning? IJCNN 2023: 1-8 - [c196]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 - [c195]Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke:
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. ECML/PKDD (3) 2023: 462-478 - [i50]Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke:
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. CoRR abs/2306.15786 (2023) - [i49]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) - [i48]Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Informed Named Entity Recognition Decoding for Generative Language Models. CoRR abs/2308.07791 (2023) - [i47]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) - [i46]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) - [i45]Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage:
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. CoRR abs/2311.15679 (2023) - 2022
- [j40]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) - [j39]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) - [j38]Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski:
Sicherheit von Quantum Machine Learning. Wirtschaftsinformatik Manag. 14(2): 144-152 (2022) - [c194]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 - [c193]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 - [c192]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski:
Quantum Circuit Evolution on NISQ Devices. CEC 2022: 1-8 - [c191]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 - [c190]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
From Open Set Recognition Towards Robust Multi-class Classification. ICANN (3) 2022: 643-655 - [c189]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 - [c188]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 - [c187]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 - [c186]Malik Amir, Christian Bauckhage, Alina M. Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow:
What can we expect from Quantum (Digital) Twins? Wirtschaftsinformatik 2022 - [i44]Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage:
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR abs/2201.02885 (2022) - [i43]Christian Bauckhage, Thore Gerlach, Nico Piatkowski:
QUBOs for Sorting Lists and Building Trees. CoRR abs/2203.08815 (2022) - [i42]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) - [i41]Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski:
Informed Pre-Training on Prior Knowledge. CoRR abs/2205.11433 (2022) - [i40]Barry D. Reese, Marek Kowalik, Christian Metzl, Christian Bauckhage, Eldar Sultanow:
Predict better with less training data using a QNN. CoRR abs/2206.03960 (2022) - [i39]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) - [i38]Christian Bauckhage, Helen Schneider, Benjamin Wulff, Rafet Sifa:
Gradient Flows for L2 Support Vector Machine Training. CoRR abs/2208.04365 (2022) - [i37]Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke:
A New Aligned Simple German Corpus. CoRR abs/2209.01106 (2022) - [i36]Maurice Günder, Nico Piatkowski, Christian Bauckhage:
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. CoRR abs/2209.02055 (2022) - [i35]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) - [i34]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) - [i33]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
- [j37]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) - [j36]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) - [c185]César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. AAAI 2021: 9214-9222 - [c184]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 - [c183]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA 2021: 1-10 - [c182]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 - [c181]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 - [c180]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 - [c179]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 - [e1]Christian Bauckhage, Juergen Gall, Alexander G. Schwing:
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8 [contents] - [i32]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage:
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. CoRR abs/2104.07538 (2021) - [i31]Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda:
Dynamic Review-based Recommenders. CoRR abs/2110.14747 (2021) - [i30]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
- [j35]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) - [c178]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 - [c177]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [c176]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 - [c175]Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa:
Hopfield Networks for Vector Quantization. ICANN (2) 2020: 192-203 - [c174]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Guided Reinforcement Learning via Sequence Learning. ICANN (2) 2020: 335-345 - [c173]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 - [c172]Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel:
Decision Snippet Features. ICPR 2020: 4260-4267 - [c171]César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev:
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR 2020: 6219-6226 - [c170]César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez:
Switching Dynamical Systems with Deep Neural Networks. ICPR 2020: 6305-6312 - [c169]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 - [c168]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage:
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. ICPR 2020: 10203-10210 - [c167]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 - [c166]Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa:
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN 2020: 1-6 - [c165]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. IJCNN 2020: 1-8 - [c164]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN 2020: 1-8 - [c163]Christian Bauckhage, Rafet Sifa, Dirk Hecker:
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) 2020: 703-707 - [c162]Rafet Sifa, Christian Bauckhage:
Novelty Discovery with Kernel Minimum Enclosing Balls. LION 2020: 414-420 - [c161]Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Max-Sum Diversification. SDM 2020: 343-351 - [p7]Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping:
Grundlagen des Maschinellen Lernens. Handbuch der Künstlichen Intelligenz 2020: 429-508 - [p6]Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß:
Tiefe neuronale Netze. Handbuch der Künstlichen Intelligenz 2020: 509-570 - [p5]Christian Bauckhage, Johannes Fürnkranz, Gerhard Paaß:
Vertrauenswürdiges, transparentes und robustesMaschinelles Lernen. Handbuch der Künstlichen Intelligenz 2020: 571-600 - [i29]Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers:
Learning Syllogism with Euler Neural-Networks. CoRR abs/2007.07320 (2020) - [i28]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage:
Towards Map-Based Validation of Semantic Segmentation Masks. CoRR abs/2011.08008 (2020) - [i27]Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR abs/2011.08272 (2020) - [i26]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. CoRR abs/2012.05684 (2020) - [i25]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. CoRR abs/2012.13453 (2020)
2010 – 2019
- 2019
- [j34]Daniel Speicher, Daniel Dong, Olaf Cremers, Christian Bauckhage, Armin B. Cremers:
Notes on the Code Quality Culture on Jupyter (Notebooks). Softwaretechnik-Trends 39(2): 15-16 (2019) - [c160]Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. AAAI 2019: 77-85 - [c159]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN 2019: 22-29 - [c158]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 - [c157]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 - [c156]Christian Bauckhage, Rafet Sifa:
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA 2019: 252-259 - [c155]Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage:
Echo State Networks for Named Entity Recognition. ICANN (Workshop) 2019: 110-120 - [c154]Christian Bauckhage, Rafet Sifa, Tiansi Dong:
Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) 2019: 365-376 - [c153]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel:
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) 2019: 595-607 - [c152]Tiansi Dong, Christian Bauckhage, Hailong Jin, Juanzi Li, Olaf Cremers, Daniel Speicher, Armin B. Cremers, Jörg Zimmermann:
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction. ICLR (Poster) 2019 - [c151]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [c150]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 - [c149]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c148]Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
Max-Sum Dispersion via Quantum Annealing. LWDA 2019: 64-68 - [c147]Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage:
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. LWDA 2019: 74-78 - [c146]Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage:
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL 2019: 200-208 - [c145]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 - [i24]Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker:
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR abs/1903.12394 (2019) - [i23]César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage:
Recurrent Adversarial Service Times. CoRR abs/1906.09808 (2019) - [i22]Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR abs/1911.06121 (2019) - [i21]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda:
Recurrent Point Processes for Dynamic Review Models. CoRR abs/1912.04132 (2019) - [i20]Christian Bauckhage, Daniel Schulz, Dirk Hecker:
Informed Machine Learning for Industry. ERCIM News 2019(116) (2019) - 2018
- [j33]Daniel Speicher, Tiansi Dong, Christian Bauckhage, Armin B. Cremers:
Growing Executable Code-Quality-Knowledge Organically. Softwaretechnik-Trends 38(2): 61-62 (2018) - [c144]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 - [c143]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 - [c142]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Policy Learning Using SPSA. ICANN (3) 2018: 3-12 - [c141]Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) 2018: 13-22 - [c140]Benjamin Wulff, Jannis Schücker, Christian Bauckhage:
SPSA for Layer-Wise Training of Deep Networks. ICANN (3) 2018: 564-573 - [c139]Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA 2018: 21-32 - [c138]Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel:
Informed Machine Learning Through Functional Composition. LWDA 2018: 33-37 - [i19]Patrick Schramowski, Christian Bauckhage, Kristian Kersting:
Neural Conditional Gradients. CoRR abs/1803.04300 (2018) - 2017
- [c137]Rafet Sifa, Christian Bauckhage:
Online k-Maxoids Clustering. DSAA 2017: 667-675 - [c136]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 - [c135]Christian Bauckhage:
A Neural Network Implementation of Frank-Wolfe Optimization. ICANN (1) 2017: 219-226 - [c134]Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel:
Using Echo State Networks for Cryptography. ICANN (2) 2017: 663-671 - [c133]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM 2017: 644-647 - [c132]Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage:
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA 2017: 74 - [c131]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. LWDA 2017: 87 - [i18]Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel:
Using Echo State Networks for Cryptography. CoRR abs/1704.01046 (2017) - [i17]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The Slashdot Zoo: Mining a Social Network with Negative Edges. CoRR abs/1710.11395 (2017) - 2016
- [j32]Christian Bauckhage, Kristian Kersting:
Collective Attention on the Web. Found. Trends Web Sci. 5(1-2): 1-136 (2016) - [j31]Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102(2): 209-245 (2016) - [j30]Shanshan Zhang, Dominik A. Klein, Christian Bauckhage, Armin B. Cremers:
Fast moving pedestrian detection based on motion segmentation and new motion features. Multim. Tools Appl. 75(11): 6263-6282 (2016) - [j29]Marlene Höhne, Amirhossein Jahanbekam, Christian Bauckhage, Nikolai Axmacher, Jürgen Fell:
Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information. NeuroImage 139: 127-135 (2016) - [c130]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 - [c129]Christian Bauckhage:
k-Means Clustering via the Frank-Wolfe Algorithm. LWDA 2016: 311-322 - [c128]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358 - [p4]Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer:
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. Computational Sustainability 2016: 99-120 - 2015
- [j28]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
High dimensional low sample size activity recognition using geometric classifiers. Digit. Signal Process. 42: 61-69 (2015) - [j27]Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Bauckhage:
Action recognition in still images by learning spatial interest regions from videos. Pattern Recognit. Lett. 51: 8-15 (2015) - [j26]Christian Bauckhage, Anders Drachen, Christian Thurau:
The Age of Analytics. IEEE Trans. Comput. Intell. AI Games 7(3): 205-206 (2015) - [j25]Christian Bauckhage, Anders Drachen, Rafet Sifa:
Clustering Game Behavior Data. IEEE Trans. Comput. Intell. AI Games 7(3): 266-278 (2015) - [j24]Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers:
Exploring Human Vision Driven Features for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 25(10): 1709-1720 (2015) - [j23]Shanshan Zhang, Christian Bauckhage, Armin B. Cremers:
Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. IEEE Trans. Intell. Transp. Syst. 16(2): 763-775 (2015) - [c127]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 - [c126]Rafet Sifa, Anders Drachen, Christian Bauckhage:
Large-Scale Cross-Game Player Behavior Analysis on Steam. AIIDE 2015: 198-204 - [c125]Steffen Kampmann, Sven Seele, Rainer Herpers, Peter Becker, Christian Bauckhage:
Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments. CIG 2015: 336-343 - [c124]Christian Bauckhage, Fabian Hadiji, Kristian Kersting:
How Viral Are Viral Videos? ICWSM 2015: 22-30 - [c123]Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting:
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. IJCAI 2015: 171-177 - [c122]Tobias Haubrich, Sven Seele, Rainer Herpers, Christian Bauckhage, Peter Becker:
Modeling Sensation for an Intelligent Virtual Agent's Perception Process. IVA 2015: 87-97 - [c121]Christian Bauckhage, Rafet Sifa:
k-Maxoids Clustering. LWA 2015: 133-144 - [c120]Rafet Sifa, César Ojeda, Christian Bauckhage:
User Churn Migration Analysis with DEDICOM. RecSys 2015: 321-324 - [c119]Christian Bauckhage, Kristian Kersting, Fabian Hadiji:
Parameterizing the Distance Distribution of Undirected Networks. UAI 2015: 121-130 - [i16]Christian Bauckhage, Kristian Kersting, Fabian Hadiji:
Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks. CoRR abs/1501.04232 (2015) - [i15]Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers:
Exploring Human Vision Driven Features for Pedestrian Detection. CoRR abs/1501.06180 (2015) - [i14]Kasra Manshaei, Christian Bauckhage:
SGPD Volume Maximization for Community Detection. CoRR abs/1511.01523 (2015) - [i13]Christian Bauckhage, Markus Ketterl, Ulrich Nütten:
LEARNMINER - Advanced Analytics for eLearning. ERCIM News 2015(101) (2015) - 2014
- [j22]Christian Bauckhage, Kristian Kersting, Christian Thurau:
Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends. Inform. Spektrum 37(6): 531-538 (2014) - [j21]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
Human activity recognition by separating style and content. Pattern Recognit. Lett. 50: 130-138 (2014) - [c118]Abdalrahman Eweiwi, Muhammed Shahzad Cheema, Christian Bauckhage, Juergen Gall:
Efficient Pose-Based Action Recognition. ACCV (5) 2014: 428-443 - [c117]Tobias Haubrich, Sven Seele, Rainer Herpers, Christian Bauckhage, Peter Becker:
Synthetic perception for intelligent virtual agents. CHI PLAY 2014: 421-422 - [c116]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 - [c115]Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, Christian Bauckhage:
Predicting player churn in the wild. CIG 2014: 1-8 - [c114]Rafet Sifa, Christian Bauckhage, Anders Drachen:
The Playtime Principle: Large-scale cross-games interest modeling. CIG 2014: 1-8 - [c113]Shanshan Zhang, Christian Bauckhage, Armin B. Cremers:
Informed Haar-Like Features Improve Pedestrian Detection. CVPR 2014: 947-954 - [c112]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos. GCPR 2014: 616-628 - [c111]Christian Bauckhage, Kasra Manshaei:
Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series. ICPR 2014: 1544-1549 - [c110]Shanshan Zhang, Dominik Alexander Klein, Christian Bauckhage, Armin B. Cremers:
Center-Surround Contrast Features for Pedestrian Detection. ICPR 2014: 2293-2298 - [c109]Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, Christian Bauckhage:
Erosion Band Features for Cell Phone Image Based Plant Disease Classification. ICPR 2014: 3315-3320 - [c108]Rafet Sifa, Christian Bauckhage, Anders Drachen:
Archetypal Game Recommender Systems. LWA 2014: 45-56 - [c107]Christian Bauckhage:
A Purely Geometric Approach to Non-Negative Matrix Factorization. LWA 2014: 125-136 - [c106]Abdalrahman Eweiwi, Shahzad Cheema, Christian Bauckhage:
Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images. LWA 2014: 137-147 - [c105]Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah:
Collective attention to social media evolves according to diffusion models. WWW (Companion Volume) 2014: 223-224 - [i12]Christian Bauckhage:
Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions. CoRR abs/1401.6853 (2014) - [i11]Christian Bauckhage:
Characterizations and Kullback-Leibler Divergence of Gompertz Distributions. CoRR abs/1402.3193 (2014) - [i10]Christian Bauckhage, Kristian Kersting:
Strong Regularities in Growth and Decline of Popularity of Social Media Services. CoRR abs/1406.6529 (2014) - [i9]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A Comparison of Methods for Player Clustering via Behavioral Telemetry. CoRR abs/1407.3950 (2014) - [i8]Christian Bauckhage:
Marginalizing over the PageRank Damping Factor. CoRR abs/1409.0104 (2014) - [i7]Christian Bauckhage:
A Note on Archetypal Analysis and the Approximation of Convex Hulls. CoRR abs/1410.0642 (2014) - [i6]Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation Kernels. CoRR abs/1410.3314 (2014) - 2013
- [j20]Jérôme Kunegis, Damien Fay, Christian Bauckhage:
Spectral evolution in dynamic networks. Knowl. Inf. Syst. 37(1): 1-36 (2013) - [j19]Christian Bauckhage, Kristian Kersting:
Can Computers Learn from the Aesthetic Wisdom of the Crowd? Künstliche Intell. 27(1): 25-35 (2013) - [j18]Christian Bauckhage, Kristian Kersting:
Data Mining and Pattern Recognition in Agriculture. Künstliche Intell. 27(4): 313-324 (2013) - [j17]Georgios D. Evangelidis, Christian Bauckhage:
Efficient Subframe Video Alignment Using Short Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2371-2386 (2013) - [c104]Rafet Sifa, Christian Bauckhage:
Archetypical motion: Supervised game behavior learning with Archetypal Analysis. CIG 2013: 1-8 - [c103]Rafet Sifa, Anders Drachen, Christian Bauckhage, Christian Thurau, Alessandro Canossa:
Behavior evolution in Tomb Raider Underworld. CIG 2013: 1-8 - [c102]Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Bauckhage:
Discriminative Joint Non-negative Matrix Factorization for Human Action Classification. GCPR 2013: 61-70 - [c101]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A comparison of methods for player clustering via behavioral telemetry. FDG 2013: 245-252 - [c100]Christian Bauckhage, Kristian Kersting, Fabian Hadiji:
Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. ICWSM 2013 - [c99]Thomas Dettmar, Sven Seele, Rainer Herpers, Peter Becker, Christian Bauckhage:
Efficient Mesoscopic Simulations for Persistent Agents in 3D-Applications and Games. VS-GAMES 2013: 1-8 - [p3]Anders Drachen, Christian Thurau, Julian Togelius, Georgios N. Yannakakis, Christian Bauckhage:
Game Data Mining. Game Analytics, Maximizing the Value of Player Data 2013: 205-253 - [p2]Adi Botea, Bruno Bouzy, Michael Buro, Christian Bauckhage, Dana S. Nau:
Pathfinding in Games. Artificial and Computational Intelligence in Games 2013: 21-31 - [p1]Hector Muñoz-Avila, Christian Bauckhage, Michal Bída, Clare Bates Congdon, Graham Kendall:
Learning and Game AI. Artificial and Computational Intelligence in Games 2013: 33-43 - [i5]Fabian Hadiji, Kristian Kersting, Christian Bauckhage, Babak Ahmadi:
GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science. CoRR abs/1304.7984 (2013) - [i4]Christian Bauckhage:
Computing the Kullback-Leibler Divergence between two Weibull Distributions. CoRR abs/1310.3713 (2013) - [i3]Christian Bauckhage, Kristian Kersting:
Efficient Information Theoretic Clustering on Discrete Lattices. CoRR abs/1310.7114 (2013) - 2012
- [j16]Barbara Krausz, Christian Bauckhage:
Loveparade 2010: Automatic video analysis of a crowd disaster. Comput. Vis. Image Underst. 116(3): 307-319 (2012) - [j15]Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage:
Descriptive matrix factorization for sustainability Adopting the principle of opposites. Data Min. Knowl. Discov. 24(2): 325-354 (2012) - [j14]Christian Bauckhage, Kristian Kersting, Albrecht Schmidt:
Agriculture's Technological Makeover. IEEE Pervasive Comput. 11(2): 4-7 (2012) - [j13]Sven Seele, Thomas Dettmar, Rainer Herpers, Christian Bauckhage, Peter Becker:
Cognitive Aspects of Traffic Simulations in Virtual Environments. Simul. Notes Eur. 22(2): 83-88 (2012) - [c98]Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer:
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. AAAI 2012: 302-308 - [c97]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 - [c96]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 - [c95]Zhao Xu, Kristian Kersting, Christian Bauckhage:
Efficient Learning for Hashing Proportional Data. ICDM 2012: 735-744 - [c94]Sven Seele, Rainer Herpers, Christian Bauckhage:
Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments. ICEC 2012: 318-325 - [c93]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
Who is doing what? Simultaneous recognition of actions and actors. ICIP 2012: 749-752 - [c92]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
Gait recognition by learning distributed key poses. ICIP 2012: 1393-1396 - [c91]Kristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada:
Matrix Factorization as Search. ECML/PKDD (2) 2012: 850-853 - [c90]Kristian Kersting, Mirwaes Wahabzada, Christoph Römer, Christian Thurau, Agim Ballvora, Uwe Rascher, Jens Leon, Christian Bauckhage, Lutz Plümer:
Simplex Distributions for Embedding Data Matrices over Time. SDM 2012: 295-306 - [c89]Christian Thurau, Kristian Kersting, Christian Bauckhage:
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study. SDM 2012: 684-695 - [c88]Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer:
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. UAI 2012: 852-862 - [i2]Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer:
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. CoRR abs/1210.4919 (2012) - 2011
- [j12]Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage:
Convex non-negative matrix factorization for massive datasets. Knowl. Inf. Syst. 29(2): 457-478 (2011) - [c87]Barbara Krausz, Christian Bauckhage:
Automatic detection of dangerous motion behavior in human crowds. AVSS 2011: 224-229 - [c86]Mirwaes Wahabzada, Kristian Kersting, Anja Pilz, Christian Bauckhage:
More influence means less work: fast latent dirichlet allocation by influence scheduling. CIKM 2011: 2273-2276 - [c85]Georgios D. Evangelidis, Christian Bauckhage:
Efficient and Robust Alignment of Unsynchronized Video Sequences. DAGM-Symposium 2011: 286-295 - [c84]Barbara Krausz, Christian Bauckhage:
Analyzing pedestrian behavior in crowds for automatic detection of congestions. ICCV Workshops 2011: 144-149 - [c83]Shahzad Cheema, Abdalrahman Eweiwi, Christian Thurau, Christian Bauckhage:
Action recognition by learning discriminative key poses. ICCV Workshops 2011: 1302-1309 - [c82]Abdalrahman Eweiwi, Shahzad Cheema, Christian Thurau, Christian Bauckhage:
Temporal key poses for human action recognition. ICCV Workshops 2011: 1310-1317 - [c81]Christian Bauckhage:
Insights into Internet Memes. ICWSM 2011 - 2010
- [j11]Robert Wetzker, Carsten Zimmermann, Christian Bauckhage:
Detecting Trends in Social Bookmarking Systems: A del.icio.us Endeavor. Int. J. Data Warehous. Min. 6(1): 38-57 (2010) - [c80]Christian Thurau, Christian Bauckhage:
Analyzing the Evolution of Social Groups in World of Warcraft®. CIG 2010: 170-177 - [c79]Jérôme Kunegis, Damien Fay, Christian Bauckhage:
Network growth and the spectral evolution model. CIKM 2010: 739-748 - [c78]Christian Thurau, Kristian Kersting, Christian Bauckhage:
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. CIKM 2010: 1785-1788 - [c77]Christian Thurau, Christian Bauckhage:
Group Evolution Patterns in World of Warcraft. GI Jahrestagung (2) 2010: 441-446 - [c76]Christian Bauckhage, Amirhossein Jahanbekam, Christian Thurau:
Age Recognition in the Wild. ICPR 2010: 392-395 - [c75]Christian Bauckhage, Christian Thurau:
Adapting Information Theoretic Clustering to Binary Images. ICPR 2010: 910-913 - [c74]Yaowen Wu, Christian Bauckhage, Christian Thurau:
The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels. ICPR 2010: 1586-1589 - [c73]Barbara Krausz, Christian Bauckhage:
Action Recognition in Videos Using Nonnegative Tensor Factorization. ICPR 2010: 1763-1766 - [c72]Jakub Lidke, Christian Thurau, Christian Bauckhage:
The Snippet Statistics of Font Recognition. ICPR 2010: 1868-1871 - [c71]Christian Thurau, Christian Bauckhage:
Reverse Indexing for Reading Graffiti Tags. ICPR 2010: 3021-3024 - [c70]Ashkan Sharifi Shamili, Christian Bauckhage, Tansu Alpcan:
Malware Detection on Mobile Devices Using Distributed Machine Learning. ICPR 2010: 4348-4351 - [c69]Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage:
Convex NMF on Non-Convex Massiv Data. LWA 2010: 97-104 - [c68]Tansu Alpcan, Christian Bauckhage, Aubrey-Derrick Schmidt:
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones. WISTP 2010: 31-46 - [c67]Robert Wetzker, Carsten Zimmermann, Christian Bauckhage, Sahin Albayrak:
I tag, you tag: translating tags for advanced user models. WSDM 2010: 71-80 - [c66]Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage:
Hierarchical Convex NMF for Clustering Massive Data. ACML 2010: 253-268
2000 – 2009
- 2009
- [j10]Nathan Mekuz, Christian Bauckhage, John K. Tsotsos:
Subspace manifold learning with sample weights. Image Vis. Comput. 27(1-2): 80-86 (2009) - [j9]Christian Bauckhage, John K. Tsotsos, Frank E. Bunn:
Automatic detection of abnormal gait. Image Vis. Comput. 27(1-2): 108-115 (2009) - [c65]Tansu Alpcan, Christian Bauckhage:
A distributed machine learning framework. CDC 2009: 2546-2551 - [c64]Sudha Krishnamurthy, Geethapriya Thamilarasu, Christian Bauckhage:
MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks. CSE (2) 2009: 93-100 - [c63]Christian Bauckhage, Christian Thurau:
Making Archetypal Analysis Practical. DAGM-Symposium 2009: 272-281 - [c62]Christian Thurau, Kristian Kersting, Christian Bauckhage:
Convex Non-negative Matrix Factorization in the Wild. ICDM 2009: 523-532 - [c61]Anja B. Naumann, Thomas Franke, Christian Bauckhage:
Investigating CAPTCHAs Based on Visual Phenomena. INTERACT (2) 2009: 745-748 - [c60]Xing Liu, Tansu Alpcan, Christian Bauckhage:
Adaptive wireless services for augmented environments. MobiQuitous 2009: 1-8 - [c59]Christian Thurau, Christian Bauckhage:
Archetypal Images in Large Photo Collections. ICSC 2009: 129-136 - [c58]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The slashdot zoo: mining a social network with negative edges. WWW 2009: 741-750 - 2008
- [j8]Christian Bauckhage, Sven Wachsmuth, Marc Hanheide, Sebastian Wrede, Gerhard Sagerer, Gunther Heidemann, Helge J. Ritter:
The visual active memory perspective on integrated recognition systems. Image Vis. Comput. 26(1): 5-14 (2008) - [c57]Christian Bauckhage:
Image Tagging Using PageRank over Bipartite Graphs. DAGM-Symposium 2008: 426-435 - [c56]Jérôme Kunegis, Stephan Schmidt, Sahin Albayrak, Christian Bauckhage, Martin Mehlitz:
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel. ECAI 2008: 261-265 - [c55]Robert Wetzker, Winfried Umbrath, Leonhard Hennig, Christian Bauckhage, Tansu Alpcan, Florian Metze:
Tailoring Taxonomies for Efficient Text Categorization and Expert Finding. Web Intelligence/IAT Workshops 2008: 459-462 - [c54]Christian Bauckhage, Tansu Alpcan, Robert Wetzker, Winfried Umbrath:
Image retrieval and Web 2.0 - where can we go from here? ICIP 2008: 81-84 - [c53]Christian Bauckhage:
Integral correlograms and probabilistic diffusion for image tagging. ICIP 2008: 985-988 - [c52]Tansu Alpcan, Christian Bauckhage:
A discrete-time parallel update algorithm for distributed learning. ICPR 2008: 1-4 - [c51]Christian Bauckhage:
Probabilistic Diffusion Classifiers for Object Detection. ICPR 2008: 1-4 - [c50]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
Alternative similarity functions for graph kernels. ICPR 2008: 1-4 - [c49]Robert Wetzker, Till Plumbaum, Alexander Korth, Christian Bauckhage, Tansu Alpcan, Florian Metze:
Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing. ICPR 2008: 1-4 - [c48]Tansu Alpcan, Sinan Kesici, Daniel Bicher, Mehmet Kivanç Mihçak, Christian Bauckhage, Seyit Ahmet Çamtepe:
A lightweight biometric signature scheme for user authentication over networks. SecureComm 2008: 33 - [i1]Alexandre Passant, Ian Mulvany, Peter Mika, Nicolas Maisonneuve, Alexander Löser, Ciro Cattuto, Christian Bizer, Christian Bauckhage, Harith Alani:
08391 Group Summary - Mining for Social Serendipity. Social Web Communities 2008 - 2007
- [j7]Christian Thurau, Tobias Paczian, Gerhard Sagerer, Christian Bauckhage:
Bayesian imitation learning in game characters. Int. J. Intell. Syst. Technol. Appl. 2(2/3): 284-295 (2007) - [j6]Christian Bauckhage, Bernard Gorman, Christian Thurau, Mark Humphrys:
Learning Human Behavior from Analyzing Activities in Virtual Environments. MMI Interakt. 12 (2007) - [c47]Christian Bauckhage:
Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs. BMVC 2007: 1-10 - [c46]Christian Bauckhage:
Extracting Salient Points and Parts of Shapes Using Modified k d-Trees. CAIP 2007: 995-1002 - [c45]Tansu Alpcan, Christian Bauckhage, Evangelos Kotsovinos:
Towards 3D Internet: Why, What, and How? CW 2007: 95-99 - [c44]Tansu Alpcan, Christian Bauckhage, Sachin Agarwal:
An Efficient Ontology-Based Expert Peering System. GbRPR 2007: 273-282 - [c43]Christian Bauckhage:
Robust Tensor Classifiers for Color Object Recognition. ICIAR 2007: 352-363 - [c42]Christian Bauckhage:
Tensor-Based Filter Design using Kernel Ridge Regression. ICIP (4) 2007: 45-48 - [c41]Martin Mehlitz, Christian Bauckhage, Sahin Albayrak:
A Fast, Feature-based Cluster Algorithm for Information Retrieval. IRI 2007: 335-341 - [c40]Florian Metze, Christian Bauckhage, Tansu Alpcan:
The "Spree" Expert Finding System. ICSC 2007: 551-558 - [c39]Martin Mehlitz, Christian Bauckhage, Jérôme Kunegis, Sahin Albayrak:
A new evaluation measure for information retrieval systems. SMC 2007: 1200-1204 - [c38]Christian Bauckhage, Tansu Alpcan, Sachin Agarwal, Florian Metze, Robert Wetzker, Milena Ilic, Sahin Albayrak:
An intelligent knowledge sharing system for web communities. SMC 2007: 3069-3074 - [c37]Robert Wetzker, Tansu Alpcan, Christian Bauckhage, Winfried Umbrath, Sahin Albayrak:
An unsupervised hierarchical approach to document categorization. Web Intelligence 2007: 482-486 - 2006
- [c36]Christian Bauckhage, Thomas Käster, John K. Tsotsos:
Applying Ensembles of Multilinear Classifiers in the Frequency Domain. CVPR (1) 2006: 95-102 - [c35]Christian Bauckhage, Thomas Käster, Andrei M. Rotenstein:
Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control. FGR 2006: 311-316 - [c34]Christian Bauckhage:
Tree-Based Signatures for Shape Classification. ICIP 2006: 2105-2108 - [c33]Thomas Käster, Michael Pfeiffer, Christian Bauckhage:
Usability Evaluation for Image Retrieval Beyond Desktop Applications. ICME 2006: 385-388 - [c32]Christian Bauckhage, Thomas Käster:
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features. ICPR (1) 2006: 507-510 - [c31]Christian Bauckhage, Thomas Käster:
Benefits of Separable, Multilinear Discriminant Classification. ICPR (4) 2006: 959 - [c30]Christian Thurau, Thomas Hettenhausen, Christian Bauckhage:
Classification of Team Behaviors in Sports Video Games. ICPR (1) 2006: 1188-1191 - [c29]Christian Bauckhage, Thomas Käster:
Benefits of Separable, Multilinear Discriminant Classification. ICPR (3) 2006: 1240-1243 - [c28]Bernard Gorman, Christian Thurau, Christian Bauckhage, Mark Humphrys:
Bayesian Imitation of Human Behavior in Interactive Computer Games. ICPR (1) 2006: 1244-1247 - [c27]Bernard Gorman, Christian Thurau, Christian Bauckhage, Mark Humphrys:
Believability Testing and Bayesian Imitation in Interactive Computer Games. SAB 2006: 655-666 - 2005
- [j5]Christian Bauckhage, Marc Hanheide, Sebastian Wrede, Thomas Käster, Michael Pfeiffer, Gerhard Sagerer:
Vision Systems with the Human in the Loop. EURASIP J. Adv. Signal Process. 2005(14): 2375-2390 (2005) - [c26]Christian Thurau, Christian Bauckhage:
Towards manifold learning for gamebot behavior modeling. Advances in Computer Entertainment Technology 2005: 446-449 - [c25]Christian Thurau, Tobias Paczian, Gerhard Sagerer, Christian Bauckhage:
Bayesian Imitation Learning in Game Characters. ALaRT 2005: 143-151 - [c24]Christian Bauckhage, John K. Tsotsos:
Separable Linear Classifiers for Online Learning in Appearance Based Object Detection. CAIP 2005: 347-354 - [c23]Christian Bauckhage, John K. Tsotsos, Frank E. Bunn:
Detecting Abnormal Gait. CRV 2005: 282-288 - [c22]Nathan Mekuz, Christian Bauckhage, John K. Tsotsos:
Face Recognition with Weighted Locally Linear Embedding. CRV 2005: 290-296 - [c21]Christian Bauckhage, John K. Tsotsos:
Separable Linear Discriminant Classification. DAGM-Symposium 2005: 318-325 - [c20]Christian Bauckhage, John K. Tsotsos:
Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection. ICIAR 2005: 456-463 - [c19]Christian Bauckhage, John K. Tsotsos:
Bounding box splitting for robust shape classification. ICIP (2) 2005: 478-481 - [c18]Marc Hanheide, Christian Bauckhage, Gerhard Sagerer:
Combining environmental cues & head gestures to interact with wearable devices. ICMI 2005: 25-31 - 2004
- [j4]Christian Bauckhage, Elke Braun, Gerhard Sagerer:
From Image Features To Symbols And Vice Versa - Using Graphs To Loop Data- And Model-Driven Processing In Visual Assembly Recognition. Int. J. Pattern Recognit. Artif. Intell. 18(3): 497-517 (2004) - [j3]Thomas Käster, Michael Pfeiffer, Christian Bauckhage, Gerhard Sagerer:
Intelligent Navigation in Image Databases. Künstliche Intell. 18(4): 24- (2004) - [c17]Christian Bauckhage, Marc Hanheide, Sebastian Wrede, Gerhard Sagerer:
A Cognitive Vision System for Action Recognition in Office Environments. CVPR (2) 2004: 827-833 - [c16]Christian Thurau, Christian Bauckhage, Gerhard Sagerer:
Synthesizing Movements for Computer Game Characters. DAGM-Symposium 2004: 179-186 - [c15]Nicolas Gorges, Marc Hanheide, William J. Christmas, Christian Bauckhage, Gerhard Sagerer, Josef Kittler:
Mosaics from Arbitrary Stereo Video Sequences. DAGM-Symposium 2004: 342-349 - [c14]Marc Hanheide, Christian Bauckhage, Gerhard Sagerer:
Memory Consistency Validation in a Cognitive Vision System. ICPR (2) 2004: 459-462 - [c13]Sebastian Wrede, Jannik Fritsch, Christian Bauckhage, Gerhard Sagerer:
An XML Based Framework for Cognitive Vision Architectures. ICPR (1) 2004: 757-760 - [c12]Sebastian Wrede, Christian Bauckhage, Gerhard Sagerer, Wolfgang Ponweiser, Markus Vincze:
Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study. ICPR (1) 2004: 761-764 - 2003
- [c11]Christian Bauckhage, Franz Kummert, Gerhard Sagerer:
A Structural Framework for Assembly Modeling and Recognition. CAIP 2003: 49-56 - [c10]Christian Bauckhage, Christian Thurau, Gerhard Sagerer:
Learning Human-Like Opponent Behavior for Interactive Computer Games. DAGM-Symposium 2003: 148-155 - [c9]Christian Thurau, Christian Bauckhage, Gerhard Sagerer:
Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behaviour for a Commercial Game. GAME-ON 2003: 119- - [c8]Thomas Käster, Michael Pfeiffer, Christian Bauckhage:
Combining speech and haptics for intuitive and efficient navigation through image databases. ICMI 2003: 180-187 - 2002
- [b1]Christian Bauckhage:
A structural framework for assembly modeling and recognition. Bielefeld University, Germany, 2002 - [c7]Christian Bauckhage, Jannik Fritsch, Katharina J. Rohlfing, Sven Wachsmuth, Gerhard Sagerer:
Evaluating Integrated Speech- and Image Understanding. ICMI 2002: 9-14 - 2001
- [c6]Christian Bauckhage, Gernot A. Fink, Jannik Fritsch, Franz Kummert, Frank Lömker, Gerhard Sagerer, Sven Wachsmuth:
An integrated system for cooperative man-machine interaction. CIRA 2001: 320-325 - [c5]Christian Bauckhage, Jannik Fritsch, Gerhard Sagerer:
Memorizing Visual Knowledge for Assembly Process Monitoring. DAGM-Symposium 2001: 178-185 - [c4]Gerhard Sagerer, Christian Bauckhage, Elke Braun, Gunther Heidemann, Franz Kummert, Helge J. Ritter, Daniel Schlüter:
Integrating Recognition Paradigms in a Multiple-Path Architecture. ICAPR 2001: 202-211 - 2000
- [j2]Cordelia Schmid, Roger Mohr, Christian Bauckhage:
Evaluation of Interest Point Detectors. Int. J. Comput. Vis. 37(2): 151-172 (2000) - [c3]Gerhard Sagerer, Christian Bauckhage, Elke Braun, Jannik Fritsch, Franz Kummert, Frank Lömker, Sven Wachsmuth:
Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects. Sensor Based Intelligent Robots 2000: 317-344 - [c2]Christian Bauckhage, Susanne Kronenberg, Franz Kummert, Gerhard Sagerer:
Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies. SSPR/SPR 2000: 173-182
1990 – 1999
- 1999
- [j1]Christian Bauckhage, Jannik Fritsch, Gerhard Sagerer:
Erkennung von Aggregaten aus Struktur und Handlung. Künstliche Intell. 13(3): 4-11 (1999) - 1998
- [c1]Cordelia Schmid, Roger Mohr, Christian Bauckhage:
Comparing and Evaluating Interest Points. ICCV 1998: 230-235
Coauthor Index
Shahzad Cheema
aka: Muhammad Shahzad Cheema
aka: Muhammad Shahzad Cheema
Kostadin Cvejoski
aka: Kostadin Cvejosky
aka: Kostadin Cvejosky
Lars Patrick Hillebrand
aka: Lars Hillebrand
aka: Lars Hillebrand
César Ojeda
aka: César Ali Marin Ojeda
aka: César Ali Marin Ojeda
Jannis Schücker
aka: Jannis Schuecker
aka: Jannis Schuecker
[c204] [i51] [c202] [c201] [c200] [c199] [c198] [c196] [i49] [i48] [i47] [i46] [i45] [j40] [j39] [c194] [c193] [c191] [c190] [c189] [c188] [c187] [i42] [i39] [i38] [i35] [i34] [i33] [j37] [j36] [c184] [c183] [c182] [c181] [c180] [c179] [i30] [j35] [c178] [c177] [c176] [c175] [c174] [c173] [c169] [c167] [c166] [c164] [c163] [c162] [c161] [i27] [c159] [c158] [c157] [c156] [c155] [c154] [c153] [c151] [c150] [c149] [c148] [c145] [c144] [c143] [c142] [c141] [c139] [c138] [c137] [c136] [c133] [c132] [c131] [c130] [c128] [j25] [c127] [c126] [c121] [c120] [c116] [c115] [c114] [c108] [i9] [c104] [c103] [c101] [c97] [c96]
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