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1Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders
J. Reimer, T. Luu, M. Henze, and Y. Ajjour. Proceedings of the 8th Workshop on Argument Mining, Association for Computational Linguistics, (2021)
6 months ago by @scadsfct
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1Human brain arousal in the resting state: a genome-wide association study
P. Jawinski, H. Kirsten, C. Sander, J. Spada, C. Ulke, J. Huang, R. Burkhardt, M. Scholz, T. Hensch, and U. Hegerl. Mol. Psychiatry, 24 (11): 1599--1609 (November 2019)
6 months ago by @scadsfct
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1Beyond Metadata: What Paper Authors Say About Corpora They Use
N. Kolyada, M. Potthast, and B. Stein. Findings, (2021)
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1Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
F. Bethke, R. Pausch, P. Stiller, A. Debus, M. Bussmann, and N. Hoffmann. (2021)
6 months ago by @scadsfct
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1Didactic modeling of a digital instrument for the perception, construction and evaluation of ethical perspectives in AI systems
T. Kohler. 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI), IEEE, (July 2021)
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1Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis
C. Beuchel, H. Kirsten, U. Ceglarek, and M. Scholz. Bioinformatics, 37 (15): 2218--2220 (August 2021)
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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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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)
6 months ago by @scadsfct
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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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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)
6 months ago by @scadsfct
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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)
6 months ago by @scadsfct
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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)
6 months ago by @scadsfct
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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)
6 months ago by @scadsfct
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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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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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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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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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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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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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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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1Divided we stand out! Forging cohorts fOr numeric outlier detection in large scale knowledge graphs (CONOD)
H. Jabeen, R. Dadwal, G. Sejdiu, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2018)
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1Generating attributed variability models for transfer learning
J. Dorn, S. Apel, and N. Siegmund. Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems, New York, NY, USA, ACM, (February 2020)
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1Towards mechanistic prediction of mass spectra using graph transformation
{. Andersen, R. Fagerberg, C. Flamm, R. Kianian, D. Merkle, and {. Stadler. MATCH Communications in Mathematical and in Computer Chemistry, 80 (3): 705--731 (Jan 1, 2018)
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1Bitemporal property graphs to organize evolving systems
C. Rost, P. Fritzsche, L. Schons, M. Zimmer, D. Gawlick, and E. Rahm. (2021)
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1How to detect performance changes in software history
D. Reichelt, and S. Kühne. Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, New York, NY, USA, ACM, (April 2018)
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