Publications

Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, und Martin Potthast. The Importance of Suppressing Domain Style in Authorship Analysis. CoRR, (abs/2005.14714)Mai 2020. [PUMA: Analysis Authorship Domain Importance Style Suppressing zno] URL

Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, und Henning Wachsmuth. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In Khalid Al-Khatib, Yufang Hou, und Manfred Stede (Hrsg.), 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, 184--189, Association for Computational Linguistics, November 2021. [PUMA: Analysis Argument Contrastive Extractive Key Point Summarization zno learning]

Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern Menze, Karel G M Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv R Yaniv, Paul F Jäger, und Lena Maier-Hein. Understanding metric-related pitfalls in image analysis validation. Nat. Methods, (21)2:182--194, Springer Science and Business Media LLC, Februar 2024. [PUMA: analysis image pitfalls validation zno]

Peter Uhrig, Elinor Payne, Irina Pavlova, Ilya Burenko, Nathan Dykes, Mary Baltazani, Evie Burrows, Scott Hale, Philip Torr, und Anna Wilson. Studying time conceptualisation via speech, prosody, and hand gesture: interweaving manual and computational methods of analysis. Gesture and Speech in Interaction Conference (GeSpIn 2023), 2023. [PUMA: analysis computational conceptualisation gesture hand interweaving manual prosody speech time yaff]

Dominic Windisch, Jeffrey Kelling, Guido Juckeland, und André Bieberle. Real-time data processing for ultrafast X-ray computed tomography using modular CUDA based pipelines. Computer Physics Communications, (287):108719, 2023. [PUMA: High-speed analysis imaging pipeline processing stream xack] URL

Parvaneh Joharinad, und Jürgen Jost. Mathematical principles of topological and geometric data analysis. Springer International Publishing, Cham, 2023. [PUMA: Mathematical analysis data geometric nopdf topological]

Jules Scholler, Joel Jonsson, Tomás Jordá-Siquier, Ivana Gantar, Laura Batti, Bevan L Cheeseman, Stéphane Pagès, Ivo F Sbalzarini, und Christophe M Lamy. Efficient image analysis for large-scale next generation histopathology using pAPRica. bioRxiv, Januar 2023. [PUMA: Efficient analysis generation histopathology image large-scale {pAPRica} yaff]

Sophie Adama, und Martin Bogdan. Application of soft-clustering to assess consciousness in a CLIS patient. Brain Sci., (13)1:65, MDPI AG, Dezember 2022. [PUMA: analysis completely complexity connectivity consciousness electrocorticogram extraction features locked-in soft-clustering spectral syndrome zno]

Sophie Adama, und Martin Bogdan. Sleep analysis in a CLIS patient using soft-clustering: a case study. Ciaco - i6doc.com, Louvain-la-Neuve (Belgium), 2023. [PUMA: CLIS Sleep analysis soft-clustering zno]

Sophie Adama, und Martin Bogdan. Assessing consciousness in patients with disorders of consciousness using soft-clustering. Brain Inform., (10)1:16, Juli 2023. [PUMA: Brain-computer Complexity Connectivity Consciousness Disorders Electroencephalogram Soft-clustering Spectral analysis consciousness interface zno]

Fabian Erichsmeier, Maksim Kukushkin, Johannes Fiedler, Matthias Enders, Simon Goertz, Martin Bogdan, Thomas Schmid, und Reinhard Kaschuba. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In Dag Heinemann, und GerritEditors Polder (Hrsg.), Photonic Technologies in Plant and Agricultural Science, 21, SPIE, 2024. [PUMA: Automating analysis hyperspectral imaging nopdf oilseed purity rape]

David Groß, Michaela Klauck, Timo P. Gros, Marcel Steinmetz, Jörg Hoffmann, und Stefan Gumhold. Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. In Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, und Vladimir Geroimenko (Hrsg.), 26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022, 1--10, IEEE, 2022. [PUMA: Action Analysis Based Glyph-Based Policy Q-Leaning Racetrack Visual topic_visualcomputing xack] URL

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG) (math.NA) (physics.data-an) Analysis Computer FOS Mathematics Numerical Physical Probability Statistics data information learning machine sciences xack] URL

Lars Kegel, Martin Hahmann, und Wolfgang Lehner. Generating What-If Scenarios for Time Series Data. Proceedings of the 29th International Conference on Scientific and Statistical Database Management, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: analysis analytics business hypothetical query scenario series time what-if zno] URL

Christopher Rost, Kevin Gomez, Philip Fritzsche, Andreas Thor, und Erhard Rahm. Exploration and analysis of temporal property graphs. OpenProceedings.org, 2021. [PUMA: Exploration analysis temporal_property_graphs yaff]

P Kerschke, H Wang, M Preuss, C Grimme, A H Deutz, H Trautmann, und M T M Emmerich. Search dynamics on multimodal multiobjective problems. Evol. Comput., (27)4:577--609, MIT Press - Journals, 2019. [PUMA: Multiobjective analysis ascent gradient hypervolume landscape multimodality optimization set-based zno]

Daniel Wiegreffe, Lydia Müller, Jens Steuck, Dirk Zeckzer, und Peter F Stadler. The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments. BMC Res. Notes, (11)1:512, Juli 2018. [PUMA: ChIP-seq Histone Peak-caller Replicate analysis modifications zno]

Carl Beuchel, Susen Becker, Julia Dittrich, Holger Kirsten, Anke Toenjes, Michael Stumvoll, Markus Loeffler, Holger Thiele, Frank Beutner, Joachim Thiery, Uta Ceglarek, und Markus Scholz. Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts. Mol. Metab., (29):76--85, Elsevier BV, November 2019. [PUMA: Acylcarnitines Amino Clinical Lifestyle Metabolomics Network acids analysis factors zno]

Yedhu Sastri, Kim Feldhoff, Jörn Starruß, René Jäkel, und Ralph Müller-Pfefferkorn. A Workflow for the Integral Performance Analysis of Cloud Applications Using Monitoring and Tracing Techniques. Proceedings of the 2017 International Conference on Cloud and Big Data Computing, 73–78, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: Cloud Container Docker Micro Monitoring Performance Score-P Tracing Workflow analysis application collectd services xack] URL

Pascal Kerschke, und Heike Trautmann. Automated algorithm selection on continuous black-box problems by combining Exploratory Landscape Analysis and machine learning. Evol. Comput., (27)1:99--127, MIT Press, 2019. [PUMA: algorithm analysis black-box continuous exploratory landscape learning machine optimization selection single-objective zno automated]

Pascal Kerschke, Holger H Hoos, Frank Neumann, und Heike Trautmann. Automated algorithm selection: Survey and perspectives. Evol. Comput., (27)1:3--45, MIT Press, 2019. [PUMA: algorithm analysis approaches automated combinatorial configuration continuous data exploratory feature-based landscape learning machine metalearning optimisation selection streams zno]

Didem Cifci, Sebastian Foersch, und Jakob Nikolas Kather. Artificial intelligence to identify genetic alterations in conventional histopathology. J. Pathol., (257)4:430--444, Wiley, Juli 2022. [PUMA: artificial image oncology precision topic_lifescience zno intelligence biomarker analysis]

Diego Esteves, Anisa Rula, Aniketh Janardhan Reddy, und Jens Lehmann. Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis. J. Data and Information Quality, (9)3Association for Computing Machinery, New York, NY, USA, Februar 2018. [PUMA: DeFacto, analysis benchmark, checking, data data, exploratory fact linked quality, trustworthiness, zno] URL

Julia Scheel, Matti Hoch, Markus Wolfien, und Shailendra Gupta. NaviCenta - The disease map for placental research. Placenta, (143):12--15, Elsevier BV, November 2023. [PUMA: Molecular Omics Systems analysis biology integration interaction map topic_lifescience yaff networks]

Akshay Akshay, Mitali Katoch, Navid Shekarchizadeh, Masoud Abedi, Ankush Sharma, Fiona C Burkhard, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis. Gigascience, (13)Januar 2024. [PUMA: AutoML analysis classification data learning machine problems topic_federatedlearn visualization xack yaff]

Akshay Akshay, Mitali Katoch, Masoud Abedi, Navid Shekarchizadeh, Mustafa Besic, Fiona C Burkhard, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. SpheroScan: a user-friendly deep learning tool for spheroid image analysis. Gigascience, (12)Oxford University Press (OUP), Dezember 2022. [PUMA: 3D Image Mask R-CNN analysis deep high-throughput image learning screening segmentation spheroids topic_federatedlearn xack yaff]