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1How to predict relapse in leukemia using time series data: A comparative in silico study
H. Hoffmann, C. Baldow, T. Zerjatke, A. Gottschalk, S. Wagner, E. Karg, S. Niehaus, I. Roeder, I. Glauche, and N. Scherf. PLoS One, 16 (11): e0256585 (November 2021)
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1Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 435 other author(s). (2022)
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1A pulmonologist's guide to perform and analyse cross-species single lung cell transcriptomics
P. Pennitz, H. Kirsten, V. Friedrich, E. Wyler, C. Goekeri, B. Obermayer, G. Heinz, M. Mashreghi, M. Büttner, J. Trimpert and 10 other author(s). Eur. Respir. Rev., 31 (165): 220056 (September 2022)
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1Defining defense and defeat in abstract argumentation from scratch -- A generalizing approach
L. Blümel, and M. Ulbricht. Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning, California, International Joint Conferences on Artificial Intelligence Organization, (July 2022)
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1Abstractive Snippet Generation
W. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast. Proceedings of The Web Conference 2020, New York, NY, USA, ACM, (April 2020)
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1QaldGen: Towards microbenchmarking of question answering systems over knowledge graphs
K. Singh, M. Saleem, A. Nadgeri, F. Conrads, J. Pan, A. Ngomo, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)
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1Encoding knowledge graph entity aliases in attentive neural network for Wikidata Entity Linking
I. Mulang, K. Singh, A. Vyas, S. Shekarpour, M. Vidal, J. Lehmann, and S. Auer. (2019)
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1Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
D. Esteves, A. Reddy, P. Chawla, and J. Lehmann. Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), page 50--59. Brussels, Belgium, Association for Computational Linguistics, (November 2018)
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1Meta-information in conversational search
J. Kiesel, L. Meyer, M. Potthast, and B. Stein. ACM Trans. Inf. Syst., 39 (4): 1--44 (October 2021)
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1Schlussbericht der Anwendungspartner zum Verbundvorhaben: ScaDS – Competence Center for Scalable Data Services and Solutions Dresden/Leipzig -- Phase 2
S. Dresden/Leipzig. (May 2022)
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1Standardized container virtualization approach for collecting host intrusion detection data
M. Röhling, M. Grimmer, D. Kreußel, J. Hoffmann, and B. Franczyk. Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, IEEE, (September 2019)
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1Dynamic optimization reveals alveolar epithelial cells as key mediators of host defense in invasive aspergillosis
J. Ewald, F. Rivieccio, L. Radosa, S. Schuster, A. Brakhage, and C. Kaleta. PLoS Comput. Biol., 17 (12): e1009645 (December 2021)
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1OECM: A cross-lingual approach for ontology enrichment
S. Ibrahim, S. Fathalla, H. Yazdi, J. Lehmann, and H. Jabeen. The Semantic Web: ESWC 2019 Satellite Events, Springer International Publishing, Cham, (2019)
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1Adversarial attacks for machine learning denoisers and how to resisit them
S. Jain, S. Zongru, S. Veettil, and M. Hecht. Emerging Topics in Artificial Intelligence (ETAI) 2022, 12204, page 1220402. SPIE, (October 2022)
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1Datalog-expressibility for monadic and Guarded Second-order Logic
M. Bodirsky, S. Knäuer, and S. Rudolph. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (July 2021)
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1TISCO: Temporal scoping of facts
A. Rula, M. Palmonari, S. Rubinacci, A. Ngomo, J. Lehmann, A. Maurino, and D. Esteves. Web Semant., (January 2019)
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1Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging
W. de Back, S. Seurig, S. Wagner, B. Marré, I. Roeder, and N. Scherf. (2019)
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1Multimodality in multi-objective optimization -- more boon than bane?
C. Grimme, P. Kerschke, and H. Trautmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)
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1From monolingual to multilingual ontologies: The role of cross-lingual ontology enrichment
S. Ibrahim, S. Fathalla, H. Shariat Yazdi, J. Lehmann, and H. Jabeen. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)
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1CoBEA
J. Hoffmann, C. Fritzsch, and M. Bogdan. Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, ACM, (July 2022)
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1Selbstwahrnehmung und Ich-Konstruktion im Angesicht von Künstlicher Intelligenz
B. Platow. Digitalisierung aus theologischer und ethischer Perspektive, page 105--124. Nomos Verlagsgesellschaft mbH & Co. KG, (2021)
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1E-science
C. Koschtial, T. Koehler, and C. Felden (Eds.) Progress in IS Springer Nature, Cham, Switzerland, 1 edition, (March 2021)
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1Extended Affinity Propagation clustering for Multi-source entity resolution
S. Lerm, A. Saeedi, and E. Rahm. Gesellschaft für Informatik, Bonn, (2021)
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1On the decomposition of abstract dialectical frameworks and the complexity of naive-based semantics
S. Gaggl, S. Rudolph, and H. Straß. J. Artif. Intell. Res., (January 2021)
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1Synchrony and idiosyncrasy in the gut microbiome of wild baboons
J. Björk, M. Dasari, K. Roche, L. Grieneisen, T. Gould, J. Grenier, V. Yotova, N. Gottel, D. Jansen, L. Gesquiere and 13 other author(s). Nat. Ecol. Evol., 6 (7): 955--964 (July 2022)
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1Finding faster configurations using FLASH
V. Nair, Z. Yu, T. Menzies, N. Siegmund, and S. Apel. IEEE Trans. Softw. Eng., 46 (7): 794--811 (July 2020)
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1Direct superbubble detection
F. Gärtner, and P. Stadler. Algorithms, 12 (4): 81 (April 2019)
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12D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
S. Starke, S. Leger, A. Zwanenburg, K. Leger, F. Lohaus, A. Linge, A. Schreiber, G. Kalinauskaite, I. Tinhofer, N. Guberina and 14 other author(s). Sci. Rep., 10 (1): 15625 (September 2020)
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1Measuring strong inconsistency
M. Ulbricht, M. Thimm, and G. Brewka. Proc. Conf. AAAI Artif. Intell., (April 2018)
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1Preserving Constraints with the Stable Chase
D. Carral, M. Krötzsch, M. Marx, A. Ozaki, and S. Rudolph. 21st International Conference on Database Theory (ICDT 2018), volume 98 of Leibniz International Proceedings in Informatics (LIPIcs), page 12:1--12:19. Dagstuhl, Germany, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, (2018)
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1Automatic improvement of continuous colormaps in euclidean colorspaces
P. Nardini, M. Chen, M. Böttinger, G. Scheuermann, and R. Bujack. Comput. Graph. Forum, 40 (3): 361--373 (June 2021)
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1DBpedia FlexiFusion the best of Wikipedia > wikidata > your data
J. Frey, M. Hofer, D. Obraczka, J. Lehmann, and S. Hellmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)
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1Artificial intelligence in Barrett's oesophagus and the need for shared and combined data
R. Schmitz, and J. Kather. United European Gastroenterol. J., 10 (6): 525--527 (July 2022)
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1Deep learning for grape variety recognition
B. Franczyk, M. Hernes, A. Kozierkiewicz, A. Kozina, M. Pietranik, I. Roemer, and M. Schieck. Procedia Comput. Sci., (2020)
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1Indikatoren für Open Science: Diskussionspapier des Helmholtz Open Science Office
H. Pampel, L. Ferguson, R. Messerschmidt, and K. Faensen. (2020)
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1Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion
N. Hoffmann. Dissertation, Dresden, Technische Universität Dresden, 2016, (2016)
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1Classical mathematical models for prediction of response to chemotherapy and immunotherapy
N. Ghaffari Laleh, C. Loeffler, J. Grajek, K. Stanková, A. Pearson, H. Muti, C. Trautwein, H. Enderling, J. Poleszczuk, and J. Kather. PLoS Comput. Biol., 18 (2): e1009822 (February 2022)
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1Evolving diverse TSP instances by means of novel and creative mutation operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA, ACM, (August 2019)
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1CASQAD -- A new dataset for context-aware spatial question answering
J. Rose, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)
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1Fast hubness-reduced nearest neighbor search for entity alignment in Knowledge Graphs
D. Obraczka, and E. Rahm. SN Comput. Sci., (October 2022)
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1Big Data Services
L. Meyer, J. Frenzel, E. Peukert, R. Jäkel, and S. Kühne. Service Engineering, Springer Fachmedien Wiesbaden, Wiesbaden, (2018)
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1Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
J. Koehler Leman, S. Lyskov, S. Lewis, J. Adolf-Bryfogle, R. Alford, K. Barlow, Z. Ben-Aharon, D. Farrell, J. Fell, W. Hansen and 40 other author(s). Nat. Commun., 12 (1): 6947 (November 2021)
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1Visualization of tensor fields in mechanics
C. Hergl, C. Blecha, V. Kretzschmar, F. Raith, F. Günther, M. Stommel, J. Jankowai, I. Hotz, T. Nagel, and G. Scheuermann. Comput. Graph. Forum, 40 (6): 135--161 (September 2021)
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1Towards optimisation of collaborative Question Answering over knowledge graphs
K. Singh, M. Jaradeh, S. Shekarpour, A. Kulkarni, A. Radhakrishna, I. Lytra, M. Vidal, and J. Lehmann. (2019)
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1Enhanced force-field calibration via machine learning
A. Argun, T. Thalheim, S. Bo, F. Cichos, and G. Volpe. Appl. Phys. Rev., 7 (4): 041404 (December 2020)
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1Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
F. Wessels, M. Schmitt, E. Krieghoff-Henning, J. Kather, M. Nientiedt, M. Kriegmair, T. Worst, M. Neuberger, M. Steeg, Z. Popovic and 7 other author(s). PLoS One, 17 (8): e0272656 (August 2022)
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1Evaluating the impact of knowledge graph context on entity disambiguation models
I. Mulang', K. Singh, C. Prabhu, A. Nadgeri, J. Hoffart, and J. Lehmann. (2020)
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1Multiobjectivization of local search: Single-objective optimization benefits from multi-objective gradient descent
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, and C. Grimme. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2020)
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1Counting strategies for the probabilistic description logic $ALC^ME$ under the principle of maximum entropy
M. Wilhelm, G. Kern-Isberner, A. Ecke, and F. Baader. Logics in Artificial Intelligence, Springer International Publishing, Cham, (2019)
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1Progressive intrinsic ultracontractivity and heat kernel estimates for non-local Schrödinger operators
K. Kaleta, and R. Schilling. J. Funct. Anal., 279 (6): 108606 (October 2020)
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