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2020

  • Abbas, Nacira ; Alghamdi, Kholoud ; Alinam, Mortaza ; Alloatti, Francesca ; Amaral, Glenda ; d’Amato, Claudia ; Asprino, Luigi ; Beno, Martin ; Bensmann, Felix ; et al.: Knowledge Graphs evolution and preservation -- A technical report from ISWS 2019, arXiv (2020)
  • Akiki, Christopher ; Potthast, Martin: Exploring Argument Retrieval with Transformers.. In: Cappellato, L. ; Eickhoff, C. ; Ferro, N. ; Névéol, A. (eds.): Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020, CEUR Workshop Proceedings. vol. 2696 : CEUR-WS.org, 2020
  • Alam, Mirza Mohtashim ; Jabeen, Hajira ; Ali, Mehdi ; Mohiuddin, Karishma ; Lehmann, Jens: Affinity Dependent Negative Sampling for Knowledge Graph Embeddings.. In: DL4KG@ESWC, 2020
  • Allal, Loubna Ben ; Li, Raymond ; Kocetkov, Denis ; Mou, Chenghao ; Akiki, Christopher ; Ferrandis, Carlos Munoz ; Muennighoff, Niklas ; Mishra, Mayank ; Gu, Alex ; et al.: SantaCoder: don’t reach for the stars!, arXiv (2023)
  • Alrabbaa, Christian ; Baader, Franz ; Borgwardt, Stefan ; Koopmann, Patrick ; Kovtunova, Alisa: Finding small proofs for Description Logic entailments: Theory and practice.. In: : EasyChair, 2020
  • Alshomary, Milad ; Syed, Shahbaz ; Potthast, Martin ; Wachsmuth, Henning: Target Inference in Argument Conclusion Generation.. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics : Association for Computational Linguistics, 2020
  • Angles, Renzo ; Thakkar, Harsh ; Tomaszuk, Dominik: Mapping RDF databases to property graph databases. In: IEEE Access vol. 8, Institute of Electrical and Electronics Engineers (IEEE) (2020), pp. 86091–86110
  • Argun, Aykut ; Thalheim, Tobias ; Bo, Stefano ; Cichos, Frank ; Volpe, Giovanni: Enhanced force-field calibration via machine learning. In: Appl. Phys. Rev. vol. 7, AIP Publishing (2020), Nr. 4, p. 041404
  • Armitage, Jason ; Thakur, Shramana ; Tripathi, Rishi ; Lehmann, Jens ; Maleshkova, Maria: Training Multimodal Systems for Classification with Multiple Objectives, arXiv (2020)
  • Armstrong, Nicola J ; Mather, Karen A ; Sargurupremraj, Muralidharan ; Knol, Maria J ; Malik, Rainer ; Satizabal, Claudia L ; Yanek, Lisa R ; Wen, Wei ; Gudnason, Vilmundur G ; et al.: Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. In: Stroke vol. 51, Ovid Technologies (Wolters Kluwer Health) (2020), Nr. 7, pp. 2111–2121
  • Augenstein, Christoph ; Franczyk, Bogdan: Anomaly detection on data streams -- A LSTM’s diary.. In: Research Challenges in Information Science, Lecture notes in business information processing. Cham : Springer International Publishing, 2020, pp. 369–377
  • Augenstein, Christoph ; Zschörnig, Theo ; Spangenberg, Norman ; Wehlitz, Robert ; Franczyk, Bogdan: A generic architectural framework for machine learning on data streams.. In: Enterprise Information Systems, Lecture notes in business information processing. Cham : Springer International Publishing, 2020, pp. 97–114
  • Baader, Franz ; Bednarczyk, Bartosz ; Rudolph, Sebastian: Satisfiability and query answering in description logics with global and local cardinality constraints, arXiv (2020)
  • Baader, Franz ; Borgwardt, Stefan ; Koopmann, Patrick ; Ozaki, Ana ; Thost, Veronika: Metric temporal description logics with interval-rigid names. In: ACM Trans. Comput. Log. vol. 21, Association for Computing Machinery (ACM) (2020), Nr. 4, pp. 1–46
  • Baader, Franz ; Borgwardt, Stefan ; Koopmann, Patrick ; Thost, Veronika ; Turhan, Anni-Yasmin: Semantic Technologies for Situation Awareness. In: KI - Künstl. Intell. vol. 34, Springer Science and Business Media LLC (2020), Nr. 4, pp. 543–550
  • Baader, Franz ; Clément Théron: Role-value maps and general concept inclusions in the minimal description logic with value restrictions or revisiting old skeletons in the DL cupboard. In: KI - Künstl. Intell. vol. 34, Springer Science and Business Media LLC (2020), Nr. 3, pp. 291–301
  • Baader, Franz ; De Bortoli, Filippo: Description Logics that Count, and What They Can and Cannot Count (Extended Abstract).. In: Borgwardt, S. ; Meyer, T. (eds.): Proceedings of the 33rd International Workshop on Description Logics (DL’20), CEUR Workshop Proceedings. vol. 2663. Online : CEUR-WS, 2020
  • Baader, Franz ; Kapur, Deepak: Deciding the word problem for ground identities with commutative and extensional symbols.. In: Automated Reasoning, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 163–180
  • Baader, Franz ; Marantidis, Pavlos ; Mottet, Antoine ; Okhotin, Alexander: Extensions of unification modulo ACUI. In: Math. Struct. Comput. Sci. vol. 30, Cambridge University Press (CUP) (2020), Nr. 6, pp. 597–626
  • Baader, Franz ; Rydval, Jakub: Description logics with concrete domains and general concept inclusions revisited.. In: Automated Reasoning, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 413–431
  • Balog, Krisztian ; Flekova, Lucie ; Hagen, Matthias ; Jones, Rosie ; Potthast, Martin ; Radlinski, Filip ; Sanderson, Mark ; Vakulenko, Svitlana ; Zamani, Hamed: Common Conversational Community Prototype: Scholarly Conversational Assistant (2020)
  • Banerjee, Debayan ; Chaudhuri, Debanjan ; Dubey, Mohnish ; Lehmann, Jens: PNEL: Pointer network based end-to-end entity linking over knowledge graphs.. In: Lecture Notes in Computer Science, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 21–38
  • Baumann, Ringo ; Brewka, Gerhard ; Ulbricht, Markus: Comparing weak admissibility semantics to their Dung-style counterparts -- reduct, modularization, and strong equivalence in abstract argumentation.. In: Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning. Rhodes, Greece : International Joint Conferences on Artificial Intelligence Organization, 2020
  • Baumann, Ringo ; Gabbay, Dov M. ; Rodrigues, Odinaldo: Forgetting an Argument.. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020, pp. 2750–2757
  • Baumann, Ringo ; Heinrich, Maximilian: Timed abstract dialectical frameworks: A simple translation-based approach. In: Computational Models of Argument: Proceedings of COMMA 2020 vol. 326, IOS Press (2020), p. 103
  • Baumann, Ringo ; Heinrich, Maximilian: A Python Script for Abstract Dialectical Frameworks. In: Proceedings of the Third International Workshop on Systems and Algorithms for Formal Argumentation co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), September 8, 2020 (2020), pp. 74–79
  • Behme, Anita ; Klüppelberg, Claudia ; Reinert, Gesine: Ruin probabilities for risk processes in a bipartite network. In: Stoch. Models vol. 36, Informa UK Limited (2020), Nr. 4, pp. 548–573
  • Behme, Anita ; Sideris, Apostolos: Markov-modulated generalized Ornstein-Uhlenbeck processes and an application in risk theory (2020)
  • Bellmund, Jacob LS ; De Cothi, William ; Ruiter, Tom A ; Nau, Matthias ; Barry, Caswell ; Doeller, Christian F: Deforming the metric of cognitive maps distorts memory. In: Nature human behaviour vol. 4, Nature Publishing Group UK London (2020), Nr. 2, pp. 177–188
  • Bevendorff, Janek ; Al Khatib, Khalid ; Potthast, Martin ; Stein, Benno: Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis.. In: Jurafsky, D. ; Chai, J. ; Schluter, N. ; Tetreault, J. (eds.): Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Online : Association for Computational Linguistics, 2020, pp. 1151–1158
  • Bevendorff, Janek ; Ghanem, Bilal ; Giachanou, Anastasia ; Kestemont, Mike ; Manjavacas, Enrique ; Markov, Ilia ; Mayerl, Maximilian ; Potthast, Martin ; Rangel, Francisco ; et al.: Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection.. In: Arampatzis, A. ; Kanoulas, E. ; Tsikrika, T. ; Vrochidis, S. ; Joho, H. ; Lioma, C. ; Eickhoff, C. ; Névéol, A. ; Cappellato, L. ; et al. (eds.): Experimental IR Meets Multilinguality, Multimodality, and Interaction. Cham : Springer International Publishing, 2020 — ISBN 978-3-030-58219-7, pp. 372–383
  • Bevendorff, Janek ; Ghanem, Bilal ; Giachanou, Anastasia ; Kestemont, Mike ; Manjavacas, Enrique ; Potthast, Martin ; Rangel, Francisco ; Rosso, Paolo ; Specht, Günther ; et al.: Shared Tasks on Authorship Analysis at PAN 2020.. In: Jose, J. M. ; Yilmaz, E. ; Magalh~aes, J. ; Castells, P. ; Ferro, N. ; Silva, M. J. ; Martins, F. (eds.): Advances in Information Retrieval. Cham : Springer International Publishing, 2020 — ISBN 978-3-030-45442-5, pp. 508–516
  • Bevendorff, Janek ; Wenzel, Tobias ; Potthast, Martin ; Hagen, Matthias ; Stein, Benno: On divergence-based author obfuscation: An attack on the state of the art in statistical authorship verification. In: it - Information Technology vol. 62 (2020), Nr. 2, pp. 99–115
  • Bodirsky, Manuel ; Knäuer, Simon ; Rudolph, Sebastian: Datalog-expressibility for monadic and Guarded Second-order Logic, arXiv (2020)
  • Bondarenko, Alexander ; Fröbe, Maik ; Beloucif, Meriem ; Gienapp, Lukas ; Ajjour, Yamen ; Panchenko, Alexander ; Biemann, Chris ; Stein, Benno ; Wachsmuth, Henning ; et al.: Overview of Touché 2020: Argument Retrieval.. In: Arampatzis, A. ; Kanoulas, E. ; Tsikrika, T. ; Vrochidis, S. ; Joho, H. ; Lioma, C. ; Eickhoff, C. ; Névéol, A. ; Cappellato, L. ; et al. (eds.): Experimental IR Meets Multilinguality, Multimodality, and Interaction. Cham : Springer International Publishing, 2020 — ISBN 978-3-030-58219-7, pp. 384–395
  • Bondarenko, Alexander ; Hagen, Matthias ; Potthast, Martin ; Wachsmuth, Henning ; Beloucif, Meriem ; Biemann, Chris ; Panchenko, Alexander ; Stein, Benno: Touché: First shared task on argument retrieval.. In: Lecture Notes in Computer Science, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 517–523
  • Bossek, Jakob ; Casel, Katrin ; Kerschke, Pascal ; Neumann, Frank: The node weight dependent traveling salesperson problem.. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Canc{ú}n Mexico : ACM, 2020
  • Bossek, Jakob ; Doerr, Carola ; Kerschke, Pascal: Initial design strategies and their effects on sequential model-based optimization.. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Canc{ú}n Mexico : ACM, 2020
  • Bossek, Jakob ; Doerr, Carola ; Kerschke, Pascal ; Neumann, Aneta ; Neumann, Frank: Evolving sampling strategies for one-shot optimization tasks.. In: Parallel Problem Solving from Nature -- PPSN XVI, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 111–124
  • Bossek, Jakob ; Kerschke, Pascal ; Trautmann, Heike: Anytime behavior of inexact TSP solvers and perspectives for automated algorithm selection.. In: 2020 IEEE Congress on Evolutionary Computation (CEC). Glasgow, United Kingdom : IEEE, 2020
  • Bossek, Jakob ; Kerschke, Pascal ; Trautmann, Heike: A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. In: Appl. Soft Comput. vol. 88, Elsevier BV (2020), Nr. 105901, p. 105901
  • Brauckmann, Alexander ; Goens, Andres ; Castrillon, Jeronimo: ComPy-Learn: A toolbox for exploring machine learning representations for compilers.. In: 2020 Forum for Specification and Design Languages (FDL). Kiel, Germany : IEEE, 2020
  • Brauckmann, Alexander ; Goens, Andrés ; Ertel, Sebastian ; Castrillon, Jeronimo: Compiler-based graph representations for deep learning models of code.. In: Proceedings of the 29th International Conference on Compiler Construction. San Diego CA USA : ACM, 2020
  • Brewka, Gerhard: Nichtmonotones Schließen.. In: Görz, G. ; Schmid, U. ; Braun, T. (eds.): Handbuch der Künstlichen Intelligenz, 6. Auflage : De Gruyter, 2020, pp. 189–226
  • Bütof, Rebecca ; Löck, Steffen ; Soliman, Maher ; Haase, Robert ; Perrin, Rosalind ; Richter, Christian ; Appold, Steffen ; Krause, Mechthild ; Baumann, Michael: Dose--volume predictors of early esophageal toxicity in non-small cell lung cancer patients treated with accelerated-hyperfractionated radiotherapy. In: Radiotherapy and Oncology vol. 143, Elsevier (2020), pp. 44–50
  • Burek, Patryk ; Scherf, Nico ; Herre, Heinrich: On the ontological foundations of cellular development. bioRxiv.
  • Burek, Patryk ; Scherf, Nico ; Herre, Heinrich: On the formal representation and annotation of cellular genealogies.. In: Lecture Notes in Computer Science, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 194–203
  • Carvalho, Tais Maria Nunes ; de Souza Filho, Francisco De Assis ; de Saboia, Marcos Abilio Medeiros: Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil. In: Urban Water Journal vol. 17, Taylor & Francis (2020), Nr. 10, pp. 912–922
  • Chau, Minh Triet ; Esteves, Diego ; Lehmann, Jens: A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction.. In: CLEOPATRA@ESWC, 2020
  • Chen, Wei-Fan ; Syed, Shahbaz ; Stein, Benno ; Hagen, Matthias ; Potthast, Martin: Abstractive Snippet Generation.. In: Proceedings of The Web Conference 2020. Taipei Taiwan : ACM, 2020
  • Cichos, Frank ; Gustavsson, Kristian ; Mehlig, Bernhard ; Volpe, Giovanni: Machine learning for active matter. In: Nat. Mach. Intell. vol. 2, Springer Science and Business Media LLC (2020), Nr. 2, pp. 94–103
  • Ciucci, Sara ; Durán, Claudio ; Palladini, Alessandra ; Ijaz, Umer Z ; Sterbini, Francesco Paroni ; Masucci, Luca ; Cammarota, Giovanni ; Ianiro, Gianluca ; Spuul, Pirjo ; et al.: Machine learning pattern recognition and differential network analysis of gastric microbiome in the presence of proton pump inhibitor treatment or Helicobacter pylori infection. bioRxiv.
  • Darari, Fariz ; Rudolph, Sebastian ; Razniewski, Simon ; Nutt, Werner: Completeness and soundness guarantees for conjunctive SPARQL queries over RDF data sources with completeness statements. In: Semantic Web vol. 11 (2020), Nr. 3, pp. 441–482
  • de Oliveira, Thaís Antero ; de Assis de Souza Filho, Francisco ; de Azevedo Reis, Gabriela ; Carvalho, Taís Maria Nunes: Identification of correlation between residential water demand and average income using the pool regression model: Study case in Fortaleza-Brazil, Water Utility Journal (2020)
  • Dietrich, Robert ; Winkler, Frank ; Knüpfer, Andreas ; Nagel, Wolfgang: Pika: Center-wide and job-aware cluster monitoring.. In: 2020 IEEE International Conference on Cluster Computing (CLUSTER) : IEEE, 2020, pp. 424–432
  • Dorn, Johannes ; Apel, Sven ; Siegmund, Norbert: Generating attributed variability models for transfer learning.. In: Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems. Magdeburg Germany : ACM, 2020
  • Dorn, Johannes ; Apel, Sven ; Siegmund, Norbert: Mastering uncertainty in performance estimations of configurable software systems.. In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering. Virtual Event Australia : ACM, 2020
  • Ebel, Patrick ; Brokhausen, Florian ; Vogelsang, Andreas: The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective.. In: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI ’20. Virtual Event, DC, USA : Association for Computing Machinery, 2020 — ISBN 9781450380652, pp. 141–150
  • Ebel, Patrick ; Göl, Ibrahim Emre ; Lingenfelder, Christoph ; Vogelsang, Andreas: Destination Prediction Based on Partial Trajectory Data (2020)
  • Ebert, Matthias P ; Meindl-Beinker, Nadja M ; Gutting, Tobias ; Maenz, Martin ; Betge, Johannes ; Schulte, Nadine ; Zhan, Tianzuo ; Weidner, Philip ; Burgermeister, Elke ; et al.: Second-line therapy with nivolumab plus ipilimumab for older patients with oesophageal squamous cell cancer (RAMONA): a multicentre, open-label phase 2 trial. In: Lancet Healthy Longev. vol. 3, Elsevier BV (2022), Nr. 6, pp. e417-e427
  • Egger, Rudolf ; Hummel, Sandra: Stolperstein oder Kompetenzstufe: Die Studieneingangsphase und ihre Bedeutung für die Wissenschaftssozialisation von Studierenden, Lernweltforschung. Deutschland : SPRINGER VS/SPRINGER FACHMEDIEN, 2020 — ISBN 978-3-658-23282-5
  • Fischer, Nicolas ; Okhrin, Ostap: Statistical modeling of the required space for inland vessels. In: Commun. Stat. Case Stud. Data Anal. Appl. vol. 6, Informa UK Limited (2020), Nr. 2, pp. 167–190
  • Flegel, Thomas ; Neumann, Anja ; Holst, Anna-Lena ; Kretzschmann, Olivia ; Loderstedt, Shenja ; Tästensen, Carina ; Gutmann, Sarah ; Dietzel, Josephine ; Becker, Lisa Franziska ; et al.: Machine learning algorithms predict canine structural epilepsy with high accuracy. In: Frontiers in Veterinary Science vol. 11 (2024)
  • Fränzl, Martin ; Cichos, Frank: Active particle feedback control with a single-shot detection convolutional neural network. In: Sci. Rep. vol. 10, Springer Science and Business Media LLC (2020), Nr. 1, p. 12571
  • Fraiman, Nicolas ; Mukherjee, Sayan ; Thoppe, Gugan: The Shadow knows: Empirical Distributions of Minimum Spanning Acycles and Persistence Diagrams of Random Complexes, arXiv (2020)
  • Fraiman, Nicolas ; Mukherjee, Sayan ; Thoppe, Gugan: The bulk and the extremes of minimal spanning acycles and persistence diagrams of random complexes, arXiv (2020)
  • Franczyk, Bogdan ; Hernes, Marcin ; Kozierkiewicz, Adrianna ; Kozina, Agata ; Pietranik, Marcin ; Roemer, Ingolf ; Schieck, Martin: Deep learning for grape variety recognition. In: Procedia Comput. Sci. vol. 176, Elsevier BV (2020), pp. 1211–1220
  • Frey, Markus ; Nau, Matthias ; Doeller, Christian F: MR-based camera-less eye tracking using deep neural networks. bioRxiv.
  • Fröbe, Maik ; Bevendorff, Janek ; Reimer, Jan Heinrich ; Potthast, Martin ; Hagen, Matthias: Sampling Bias Due to Near-Duplicates in Learning to Rank.. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’20. Virtual Event, China : Association for Computing Machinery, 2020 — ISBN 9781450380164, pp. 1997–2000
  • Fröbe, Maik ; Bittner, Jan Philipp ; Potthast, Martin ; Hagen, Matthias: The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines.. In: Jose, J. M. ; Yilmaz, E. ; Magalh~aes, J. ; Castells, P. ; Ferro, N. ; Silva, M. J. ; Martins, F. (eds.): Advances in Information Retrieval. Cham : Springer International Publishing, 2020 — ISBN 978-3-030-45442-5, pp. 12–19
  • Fröbe, Maik ; Günther, Sebastian ; Probst, Maximilian ; Potthast, Martin ; Hagen, Matthias: Webis-MS-MARCO-Anchor-Texts-22, Zenodo (2022)
  • Fröbe, Maik ; Schwanke, Nina ; Hagen, Matthias ; Potthast, Martin: A Search Engine for Police Press Releases to Double-Check the News.. In: Jose, J. M. ; Yilmaz, E. ; Magalh~aes, J. ; Castells, P. ; Ferro, N. ; Silva, M. J. ; Martins, F. (eds.): Advances in Information Retrieval. Cham : Springer International Publishing, 2020 — ISBN 978-3-030-45442-5, pp. 454–458
  • Gaebel, Jan ; Wu, Hans-Georg ; Oeser, Alexander ; Cypko, Mario A ; Stoehr, Matthaeus ; Dietz, Andreas ; Neumuth, Thomas ; Franke, Stefan ; Oeltze-Jafra, Steffen: Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. In: Artif. Intell. Med. vol. 104, Elsevier BV (2020), Nr. 101842, p. 101842
  • Gärtner, Fabian ; Kühnl, Felix ; Seemann, Carsten R. ; Höner Zu Siederdissen, Christian ; Stadler, Peter F.: Superbubbles as an empirical characteristic of directed networks. In: Network Science vol. 9, Cambridge University Press (CUP) (2020), Nr. 1, pp. 49–58
  • Galkin, Mikhail ; Trivedi, Priyansh ; Maheshwari, Gaurav ; Usbeck, Ricardo ; Lehmann, Jens: Message passing for hyper-relational knowledge graphs, arXiv (2020)
  • Gienapp, Lukas ; Fröbe, Maik ; Hagen, Matthias ; Potthast, Martin: The Impact of Negative Relevance Judgments on NDCG.. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, CIKM ’20. Virtual Event, Ireland : Association for Computing Machinery, 2020 — ISBN 9781450368599, pp. 2037–2040
  • Gienapp, Lukas ; Stein, Benno ; Hagen, Matthias ; Potthast, Martin: Efficient Pairwise Annotation of Argument Quality.. In: Jurafsky, D. ; Chai, J. ; Schluter, N. ; Tetreault, J. (eds.): Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Online : Association for Computational Linguistics, 2020, pp. 5772–5781
  • Gienapp, Lukas ; Stein, Benno ; Hagen, Matthias ; Potthast, Martin: Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain.. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, CIKM ’20. Virtual Event, Ireland : Association for Computing Machinery, 2020 — ISBN 9781450368599, pp. 2033–2036
  • Gockel, Ines ; Jansen-Winkeln, Boris ; Sucher, Robert ; Rayes, Nada ; Thieme, René ; Moulla, Yusef ; Niebisch, Stefan ; Rademacher, Sebastian ; Seehofer, Daniel ; et al.: (HSI) -- eine verlässliche gewebedifferenzierung?. In: Zentralbl. Chir. vol. 145, Georg Thieme Verlag KG (2020), Nr. 2, pp. 125–129
  • Gockel, Ines ; Jansen-Winkeln, Boris ; Sucher, Robert ; Rayes, Nada ; Thieme, René ; Moulla, Yusef ; Niebisch, Stefan ; Rademacher, Sebastian ; Seehofer, Daniel ; et al.: Hyperspektral-Imaging (HSI) – eine verlässliche Gewebedifferenzierung?. In: Zentralbl. Chir. vol. 145, Georg Thieme Verlag KG (2020), Nr. 2, pp. 125–129
  • Golkov, Vladimir ; Becker, Alexander ; Plop, Daniel T. ; Čuturilo, Daniel ; Davoudi, Neda ; Mendenhall, Jeffrey ; Moretti, Rocco ; Meiler, Jens ; Cremers, Daniel: Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions, arXiv (2020)
  • Golkov, Vladimir ; Skwark, Marcin J. ; Mirchev, Atanas ; Dikov, Georgi ; Geanes, Alexander R. ; Mendenhall, Jeffrey ; Meiler, Jens ; Cremers, Daniel: 3D Deep Learning for Biological Function Prediction from Physical Fields. In: 2020 International Conference on 3D Vision (3DV), IEEE (2020), p. 928–937
  • Graux, Damien ; Sejdiu, Gezim ; Stadler, Claus ; Napolitano, Giulio ; Lehmann, Jens: MINDS: A translator to embed mathematical expressions inside SPARQL queries.. In: Semantic Systems. In the Era of Knowledge Graphs, Lecture notes in computer science. Cham : Springer International Publishing, 2020, pp. 104–117
  • Gray, Caitlin ; Mosig, Clemens ; Bush, Randy ; Pelsser, Cristel ; Roughan, Matthew ; Schmidt, Thomas C ; Wahlisch, Matthias: BGP Beacons, Network Tomography, and Bayesian Computation to Locate Route Flap Damping (2020), pp. 492–505
  • Gros, Timo P. ; Gross, David ; Gumhold, Stefan ; Hoffmann, Jörg ; Klauck, Michaela ; Steinmetz, Marcel: TraceVis: Towards Visualization for Deep Statistical Model Checking.. In: Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends: 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part IV. Rhodes, Greece : Springer-Verlag, 2020 — ISBN 978-3-030-83722-8, pp. 27–46
  • Günther, Michael ; Thiele, Maik ; Lehner, Wolfgang: RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data (2020)
  • Günther, Michael ; Thiele, Maik ; Lehner, Wolfgang: Retro: Relation Retrofitting For In-Database Machine Learning on Textual Data.. In: Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020 : OpenProceedings.org, 2020, pp. 411–414
  • Günther, Michael ; Thiele, Maik ; Nikulski, Erik ; Lehner, Wolfgang: RetroLive: Analysis of Relational Retrofitted Word Embeddings, OpenProceedings.org (2020) — ISBN 3893180834
  • Guillen-Guio, Beatriz ; Lorenzo-Salazar, Jose M ; Ma, Shwu-Fan ; Hou, Pei-Chi ; Hernandez-Beeftink, Tamara ; Corrales, Almudena ; Garc’ia-Laorden, M Isabel ; Jou, Jonathan ; Espinosa, Elena ; et al.: Sepsis-associated acute respiratory distress syndrome in individuals of European ancestry: a genome-wide association study. In: Lancet Respir. Med. vol. 8, Elsevier BV (2020), Nr. 3, pp. 258–266
  • Gupta, Aryaman ; Incardona, Pietro ; Aydin, Ata Deniz ; Gumhold, Stefan ; Gunther, Ulrik ; Sbalzarini, Ivo F: An architecture for interactive in situ visualization and its transparent implementation in OpenFPM.. In: ISAV’20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization. Atlanta GA USA : ACM, 2020
  • Haase, Robert ; Jain, Akanksha ; Rigaud, Stéphane ; Vorkel, Daniela ; Rajasekhar, Pradeep ; Suckert, Theresa ; Lambert, Talley J ; Nunez-Iglesias, Juan ; Poole, Daniel P ; et al.: Interactive design of GPU-accelerated image data flow graphs and cross-platform deployment using multi-lingual code generation. In: bioRxiv, Cold Spring Harbor Laboratory (2020), pp. 2020–11
  • Haase, Robert ; Royer, Loic A ; Steinbach, Peter ; Schmidt, Deborah ; Dibrov, Alexandr ; Schmidt, Uwe ; Weigert, Martin ; Maghelli, Nicola ; Tomancak, Pavel ; et al.: CLIJ: GPU-accelerated image processing for everyone. In: Nature methods vol. 17, Nature Publishing Group US New York (2020), Nr. 1, pp. 5–6
  • Hartmann, Tom ; Bannach, Max ; Middendorf, Martin ; Stadler, Peter F. ; Wieseke, Nicolas ; Hellmuth, Marc: Complete Edge-Colored Permutation Graphs (2020)
  • Heindorf, Stefan ; Scholten, Yan ; Wachsmuth, Henning ; Ngonga Ngomo, Axel-Cyrille ; Potthast, Martin: CauseNet: Towards a Causality Graph Extracted from the Web.. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, CIKM ’20. Virtual Event, Ireland : Association for Computing Machinery, 2020 — ISBN 9781450368599, pp. 3023–3030
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Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.