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1§ 10 Benachrichtigung der von einer Verletzung des Schutzes personenbezogener Daten betroffenen Person
J. Weil. page 126–138. Nomos, 1. Auflage edition, (2023)
2 months ago by @scadsfct
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1Zwischen Effizienz und Kontrollverlust: Der Einsatz von KÃ¼nstlicher Intelligenz durch die Verwaltung im Spiegel des Rechts
S. Schiedermair, and J. Weil. (2023)
2 months ago by @scadsfct
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1Zwei Kulturen der Digitalisierung â€“ Zur Rolle der Theologie im Prozess der Quantifizierung der Welt
C. Geldhauser, and H. Diebel-Fischer. (2023)
2 months ago by @scadsfct
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1Zur Zukunft religioeser Bildung aus evangelischer Sicht
B. Platow. (2021)
2 months ago by @scadsfct
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imported
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1Zur Zukunft digitalisierter Bildung aus evangelischer Sicht
B. Platow. (2021)
2 months ago by @scadsfct
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imported
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1Zero-shot Generative Large Language Models for Systematic Review Screening Automation
S. Wang, H. Scells, S. Zhuang, M. Potthast, B. Koopman, and G. Zuccon. (2024)
2 months ago by @scadsfct
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topic_language
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1Zerlegt die Digitalisierung Verantwortung? : Ethische Herausforderungen sozio-technischer Systeme
H. Diebel-Fischer. Universität Rostock, (2022)
2 months ago by @scadsfct
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1Xlindy: Interactive recognition and information extraction in spreadsheets
E. Koci, D. Kuban, N. Luettig, D. Olwig, M. Thiele, J. Gonsior, W. Lehner, and O. Romero. Proceedings of the ACM Symposium on Document Engineering 2019, New York, NY, USA, ACM, (September 2019)
2 months ago by @scadsfct
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1Worst-case optimal querying of very expressive description logics with path expressions and succinct counting
B. Bednarczyk, and S. Rudolph. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, California, International Joint Conferences on Artificial Intelligence Organization, (August 2019)
2 months ago by @scadsfct
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1Workshop on Linked Data on the Web co-located with The Web Conference 2018, LDOW@WWW 2018, Lyon, France April 23rd, 2018
T. Berners-Lee, S. Capadisli, S. Dietze, A. Hogan, K. Janowicz, and J. Lehmann (Eds.) volume 2073 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)
2 months ago by @scadsfct
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1Word-based GWAS harnesses the rich potential of genomic data for E. coli quinolone resistance
N. Malekian, S. Sainath, A. Al-Fatlawi, and M. Schroeder. Frontiers in Microbiology, (December 2023)
4 days ago by @scadsfct
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1Wikipedia Text Reuse: Within and Without
M. Alshomary, M. Völske, T. Licht, H. Wachsmuth, B. Stein, M. Hagen, and M. Potthast. page 747–754. Springer International Publishing, (2019)
2 months ago by @scadsfct
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1Wikidata through the eyes of DBpedia
A. Ismayilov, D. Kontokostas, S. Auer, J. Lehmann, and S. Hellmann. Semant. Web, 9 (4): 493--503 (June 2018)
2 months ago by @scadsfct
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1Wie bereit sind Studierende für die Nutzung von KI-Technologien? Eine Annäherung an die KI-Readiness Studierender im Kontext des Projektes "tech4comp"
J. Riedel, and J. Kleppsch. (2021)
2 months ago by @scadsfct
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Human
Bewertung,
Empirical
Mediennutzung,
Lernprozess,
Untersuchung,
Use
Activities),
und
Qualitative
Hochschullehre,
institute,
intelligence,
being,
Project,
student,
Vergleich,
Bildungswesen,
Projekt,
process,
Judgment,
Medien,
research
Erziehung,
Mensch,
Judgement,
Utilisation
Student,
Forschung,
Nachteil,
Hochschule,
Empirische
Technologie,
Vorteil,
Education,
Utilization
Assessment,
Intelligenz,
University
media,
Higher
Schul-
Artificial
Medieneinsatz,
(Learning
Deployment
Male
Projects
370
education
K\"{u}nstliche
Technology,
teaching,
lecturing,
Learning
Digitale
study,
of
HumanBewertung,EmpiricalMediennutzung,Lernprozess,Untersuchung,UseActivities),undQualitativeHochschullehre,institute,intelligence,being,Project,student,Vergleich,Bildungswesen,Projekt,process,Judgment,Medien,researchErziehung,Mensch,Judgement,UtilisationStudent,Forschung,Nachteil,Hochschule,EmpirischeTechnologie,Vorteil,Education,UtilizationAssessment,Intelligenz,Universitymedia,HigherSchul-ArtificialMedieneinsatz,(LearningDeploymentMaleProjects370educationK\"{u}nstlicheTechnology,teaching,lecturing,LearningDigitalestudy,of
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1Why reinvent the wheel
K. Singh, C. Lange, M. Vidal, J. Lehmann, S. Auer, A. Radhakrishna, A. Both, S. Shekarpour, I. Lytra, R. Usbeck and 3 other author(s). Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, New York, New York, USA, ACM Press, (2018)
2 months ago by @scadsfct
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1White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland : August 2023
T. Intemann, K. Kaulke, D. Kipker, V. Lettieri, C. Stallmann, C. Schmidt, L. O. Geidel, M. Bialke, C. Hampf, D. Stahl and 19 other author(s). (2023)
2 months ago by @scadsfct
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topic_lifesciencearea_bigdata
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1What makes a reaction network ``chemical''?
S. Müller, C. Flamm, and P. Stadler. J. Cheminformatics, (2022)arXiv 2201.01646.
2 months ago by @scadsfct
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topic_mathfoundation
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1What makes a reaction network "chemical"?
S. Müller, C. Flamm, and P. Stadler. (2022)
2 months ago by @scadsfct
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1Weighted Consensus Segmentations
H. Saker, R. Machné, J. Fallmann, D. Murray, A. Shahin, and P. Stadler. Computation, 9 (2): 17 (February 2021)
2 months ago by @scadsfct
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1Weighted Consensus Segmentations
H. Saker, R. Machné, J. Fallmann, D. Murray, A. Shahin, and P. Stadler. Computation, (2021)
2 months ago by @scadsfct
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1Weighted abstract Dialectical Frameworks: Extended and revised report
G. Brewka, J. Pührer, H. Strass, J. Wallner, and S. Woltran. (2018)
2 months ago by @scadsfct
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1Weighted abstract Dialectical Frameworks
G. Brewka, H. Strass, J. Wallner, and S. Woltran. Proc. Conf. AAAI Artif. Intell., (April 2018)
2 months ago by @scadsfct
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1Webis-MS-MARCO-Anchor-Texts-22
M. Fröbe, S. Günther, M. Probst, M. Potthast, and M. Hagen. (2022)
2 months ago by @scadsfct
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topic_language
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1Webis Trigger Warning Corpus 2023
Wiegmann, Wolska, Schröder, Borchardt, Stein, Benno, and Potthast, Martin. (2023)
2 months ago by @scadsfct
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topic_language
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1Webis at TREC 2022: Deep Learning and Health Misinformation
A. Bondarenko, M. FrÃ¶be, L. Gienapp, A. Pugachev, J. Reimer, F. Schlatt, E. Artemova, M. Potthast, B. Stein, P. Braslavski and 1 other author(s). (2022)
2 months ago by @scadsfct
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1Webis at TREC 2021: Deep Learning, Health Misinformation, and Podcasts Tracks
A. Bondarenko, M. FrÃ¶be, M. Gohsen, S. GÃ¼nther, J. Kiesel, J. Schwerter, S. Syed, M. VÃ¶lske, M. Potthast, B. Stein and 1 other author(s). (2021)
2 months ago by @scadsfct
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1Web-based Benchmarks for Forecasting Systems: The ECAST Platform
R. Ulbricht, C. Hartmann, M. Hahmann, H. Donker, and W. Lehner. page 2169--2172. (June 2016)
2 months ago by @scadsfct
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1Web Archive Analytics
M. Völske, J. Bevendorff, J. Kiesel, B. Stein, M. Fröbe, M. Hagen, and M. Potthast. (July 2021)
9 days ago by @scadsfct
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1Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy
L. Buendgens, D. Cifci, N. Ghaffari Laleh, M. van Treeck, M. Koenen, H. Zimmermann, T. Herbold, T. Lux, A. Hann, C. Trautwein and 1 other author(s). Sci. Rep., 12 (1): 4829 (March 2022)
2 months ago by @scadsfct
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1Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology
P. Schrammen, N. Ghaffari Laleh, A. Echle, D. Truhn, V. Schulz, T. Brinker, H. Brenner, J. Chang-Claude, E. Alwers, A. Brobeil and 9 other author(s). J. Pathol., 256 (1): 50--60 (January 2022)
2 months ago by @scadsfct
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Lynch
intelligence;
deep
learning;
digital
instability
cancer;
artificial
syndrome;
pathology;
colorectal
topic_lifescience
microsatellite
computational
Lynchintelligence;deeplearning;digitalinstabilitycancer;artificialsyndrome;pathology;colorectaltopic_lifesciencemicrosatellitecomputational
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1Weak Admissibility for ABA via Abstract Set Attacks
L. Blümel, M. König, and M. Ulbricht. Proc. KR, (2024)
2 months ago by @scadsfct
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topic_knowledge
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1VUStruct: a compute pipeline for high throughput and personalized structural biology
C. Moth, J. Sheehan, A. Mamun, R. Sivley, A. Gulsevin, D. Rinker, J. Capra, and J. Meiler. (August 2024)
19 hours ago by @scadsfct
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1Vulnerability-CoVaR: investigating the crypto-market
M. Waltz, A. Kumar Singh, and O. Okhrin. Quant. Finance, 22 (9): 1731--1745 (September 2022)
2 months ago by @scadsfct
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topic_engineering
topic_engineering
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1VRCellLabeler (VCL): Immersive labeling of Platynereis embryo’s cell lineage trees in Virtual Reality
M. Oyshi, B. Russig, R. Dachselt, and S. Gumhold. Eurographics Workshop on Visual Computing for Biology and Medicine, (2022)
2 months ago by @scadsfct
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topic_visualcomputing
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1VQuAnDa: Verbalization QUestion ANswering DAtaset
E. Kacupaj, H. Zafar, J. Lehmann, and M. Maleshkova. The Semantic Web, Springer International Publishing, Cham, (2020)
2 months ago by @scadsfct
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1Voting for Bins: Integrating Imprecise Probabilistic Beliefs into the Condorcet Jury Theorem
J. Karge. Joint Proceedings of the 2nd Workshop on Knowledge Diversity and the 2nd Workshop on Cognitive Aspects of Knowledge Representation co-located with 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023), Rhodes, Greece, September 3-4, 2023, volume 3548 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)
2 months ago by @scadsfct
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1Voice assistant-based cognitive behavioral therapy for test anxiety in students
J. Striegl, C. Loitsch, and G. Weber. Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, (2023)
2 months ago by @scadsfct
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area_responsibleai
area_responsibleai
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1Visualizing Topological Properties of the Search Landscape of Combinatorial Optimization Problems
S. Volke, D. Zeckzer, M. Middendorf, and G. Scheuermann. page 69--85. (April 2017)
2 months ago by @scadsfct
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imported
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1Visualizing Similarities between American Rap-Artists based on Text Reuse
C. Meinecke, J. Schebera, J. Eschrich, and D. Wiegreffe. LEVIA'22 : Leipzig Symposium on Visualization in Applications 2022, Leipzig, Leipzig University, (July 2022)
2 months ago by @scadsfct
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topic_visualcomputing
topic_visualcomputing
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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)
2 months ago by @scadsfct
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1Visualization of statistical information in concept lattice diagrams
J. Klimpke, and S. Rudolph. Formal Concept Analysis, Springer International Publishing, Cham, (2021)
2 months ago by @scadsfct
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1Visualization of Particle-based Data with Transparency and Ambient Occlusion
J. Staib, S. Grottel, and S. Gumhold. Computer Graphics Forum, (June 2015)
2 months ago by @scadsfct
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imported
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1Visualisierungen für CTS Text Miner
G. Hans D. Pogrzeba, Jochen Tiepmar. (2016)
2 months ago by @scadsfct
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imported
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1Visual Web Archive Quality Assessment
T. Elstner, J. Kiesel, L. Meyer, M. Martius, S. Schmidt, B. Stein, and M. Potthast. Linking Theory and Practice of Digital Libraries, Springer International Publishing, Cham, (2022)
2 months ago by @scadsfct
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topic_lifescience
topic_languagetopic_lifescience
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1Visual Study of the Benguela Upwelling System using Pathline Predicates
P. Nardini, M. Böttinger, G. Scheuermann, and M. Schmidt. Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, (2017)
2 months ago by @scadsfct
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imported
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1Visual Eddy Analysis of the Agulhas Current
F. Raith, N. Röber, H. Haak, and G. Scheuermann. (June 2017)
2 months ago by @scadsfct
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1Visual analysis of the relation between stiffness tensor and the Cauchy-green tensor
C. Blecha, C. Hergl, T. Nagel, and G. Scheuermann. (2021)
2 months ago by @scadsfct
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1Visual analysis of spatio-temporal trends in time-dependent ensemble data sets on the example of the north Atlantic oscillation
D. Vietinghoff, C. Heine, M. Bottinger, N. Maher, J. Jungclaus, and G. Scheuermann. 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), IEEE, (April 2021)
2 months ago by @scadsfct
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1Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer
D. Li, and O. Okhrin. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), page 866-873. (2023)
11 days ago by @scadsfct
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Videos
Task
Autonomous
Measurement
vehicles
Reinforcement
Statistical
learning
analysis
topic_engineering
Automobiles
VideosTaskAutonomousMeasurementvehiclesReinforcementStatisticallearninganalysistopic_engineeringAutomobiles
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1Vessel-following model for inland waterways based on deep reinforcement learning
F. Hart, O. Okhrin, and M. Treiber. Ocean Eng., 281 (114679): 114679 (August 2023)
11 days ago by @scadsfct
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waterways
inland
deep
Vessel-following
learning
reinforcement
model
topic_engineering
waterwaysinlanddeepVessel-followinglearningreinforcementmodeltopic_engineering
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