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1AI Development in Germany After the Publication of German Nation AI Strategy, Problems and Solutions
R. Nicknam, S. Zargarbashi, and A. Safavipour. Journal of Humanities and Education Development, 6 (5): 68–81 (2024)
10 days ago by @scadsfct
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1Artificial intelligence hallucinations in anaesthesia: Causes, consequences and countermeasures
P. Gondode, S. Duggal, and V. Mahor. Indian Journal of Anaesthesia, 68 (7): 658–661 (June 2024)
10 days ago by @scadsfct
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1Klangwelten neu gedacht : Zur Nutzung und Rolle von Künstlicher Intelligenz in der Musikproduktion
P. Schlosser. (2024)
10 days ago by @scadsfct
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1On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation
A. Naik. (2024)
10 days ago by @scadsfct
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12024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction
P. Ebel, R. Schneider, M. Bonavita, M. Clare, A. Jungbluth, M. Pourshamsi, M. Chantry, M. Alexe, A. Sebastianelli, and M. Chrust. npj Climate and Atmospheric Science, 7 (1): 241 (Oct 9, 2024)
10 days ago by @scadsfct
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1Streaming Data in HPC Workflows Using ADIOS
G. Eisenhauer, N. Podhorszki, A. Gainaru, S. Klasky, P. Davis, M. Parashar, M. Wolf, E. Suchtya, E. Fredj, V. Bolea and 5 other author(s). (2024)
15 days ago by @scadsfct
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1Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring
J. Williams, D. Medeiros, S. Costea, D. Tskhakaya, F. Poeschel, R. Widera, A. Huebl, S. Klasky, N. Podhorszki, L. Kos and 7 other author(s). 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), page 86-95. (September 2024)
15 days ago by @scadsfct
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1Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
A. Ankolekar, S. Boie, M. Abdollahyan, E. Gadaleta, S. Hasheminasab, G. Yang, C. Beauville, N. Dikaios, G. Kastis, M. Bussmann and 4 other author(s). (2024)
15 days ago by @scadsfct
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1Live Iterative Ptychography
D. Weber, S. Ehrig, A. Schropp, A. Clausen, S. Achilles, N. Hoffmann, M. Bussmann, R. Dunin-Borkowski, and C. Schroer. Microscopy and Microanalysis, 30 (1): 103–117 (February 2024)
15 days ago by @scadsfct
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Iterative
Live
Ptychography
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1Survivorship Data in Prostate Cancer: Where Are We and Where Do We Need To Be?
B. Russell, K. Beyer, A. Lawlor, M. Roobol, L. Venderbos, S. Remmers, E. Briers, S. MacLennan, S. MacLennan, M. Omar and 136 other author(s). European Urology Open Science, (January 2024)
15 days ago by @scadsfct
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Cancer:
Data
Prostate
Survivorship
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1EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations
K. Steiniger, R. Widera, S. Bastrakov, M. Bussmann, S. Chandrasekaran, B. Hernandez, K. Holsapple, A. Huebl, G. Juckeland, J. Kelling and 6 other author(s). Computer Physics Communications, (2023)
15 days ago by @scadsfct
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Charge
Current
EZ
PIConGPU
Particle-in-cell
Zno
conservation
deposition
imported
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1Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
W. Elwasif, W. Godoy, N. Hagerty, J. Harris, O. Hernandez, B. Joo, P. Kent, D. Lebrun-Grandie, E. Maccarthy, V. Melesse Vergara and 24 other author(s). Proceedings of the HPC Asia 2023 Workshops, page 35–49. New York, NY, USA, Association for Computing Machinery, (2023)
15 days ago by @scadsfct
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1Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows
A. Willmann, J. Cabadağ, Y. Chang, R. Pausch, A. Ghaith, A. Debus, A. Irman, M. Bussmann, U. Schramm, and N. Hoffmann. (2023)
15 days ago by @scadsfct
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Bunch
Distribution
Electron
Learning
Zno
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BunchDistributionElectronLearningZnoimported
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1Atomic population kinetics for Particle in Cell
B. Marré, U. Schramm, M. Bussmann, T. Kluge, T. Cowan, R. Widera, S. Bastrakov, and A. Huebl. (2023)
15 days ago by @scadsfct
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Atomic
Zno
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kinetics
population
AtomicZnoimportedkineticspopulation
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1AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)
P. Bremer, B. Spears, T. Gibbs, and M. Bussmann. (2023)
15 days ago by @scadsfct
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AI-Augmented
Facilities
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AI-AugmentedFacilitiesZnoimported
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1LLAMA: The low‐level abstraction for memory access
B. Gruber, G. Amadio, J. Blomer, A. Matthes, R. Widera, and M. Bussmann. Software: Practice and Experience, 53 (1): 115–141 (March 2022)
15 days ago by @scadsfct
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LLAMA
Zno
access
imported
memory
LLAMAZnoaccessimportedmemory
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1Continual learning autoencoder training for a particle-in-cell simulation via streaming
P. Stiller, V. Makdani, F. Pöschel, R. Pausch, A. Debus, M. Bussmann, and N. Hoffmann. (2022)
15 days ago by @scadsfct
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Continual
Zno
autoencoder
imported
learning
particle-in-cell
simulation
training
ContinualZnoautoencoderimportedlearningparticle-in-cellsimulationtraining
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1917P OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence
J. N’Dow, E. Smith, K. Polychronopoulos, A. Cannon, M. Roobol, S. Auweter, M. Thomas, A. Kremer, B. De Meulder, D. Dellamonica and 8 other author(s). Annals of Oncology, (September 2022)
15 days ago by @scadsfct
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917P
OPTIMA
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1Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings
S. Bhalachandra, C. Daley, and V. Vergara (Eds.) Berlin, Heidelberg, Springer-Verlag, (2021)
15 days ago by @scadsfct
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2021
Accelerator
Programming
WACCPD
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imported
2021AcceleratorProgrammingWACCPDZnoimported
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1Evaluating GPU Programming Models for the LUMI Supercomputer
G. Markomanolis, A. Alpay, J. Young, M. Klemm, N. Malaya, A. Esposito, J. Heikonen, S. Bastrakov, A. Debus, T. Kluge and 4 other author(s). page 79-101. (January 2022)
15 days ago by @scadsfct
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GPU
LUMI
Programming
Supercomputer
Zno
GPULUMIProgrammingSupercomputerZno
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1Early application experiences on a modern GPU-accelerated Arm-based HPC platform
W. Elwasif, S. Bastrakov, S. Bryngelson, M. Bussmann, S. Chandrasekaran, F. Ciorba, M. Clark, A. Debus, W. Godoy, N. Hagerty and 1 other author(s). HPC Asia, 23, (2022)
16 days ago by @scadsfct
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Arm-based
Early
GPU-accelerated
HPC
Zno
application
experiences
modern
platform
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1A Decade of Shared Tasks in Digital Text Forensics at PAN
M. Potthast, P. Rosso, E. Stamatatos, and B. Stein. Advances in Information Retrieval. 41st European Conference on IR Research (ECIR 2019), volume 11438 of Lecture Notes in Computer Science, page 291--300. Berlin Heidelberg New York, Springer, (April 2019)
16 days ago by @scadsfct
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Decade
Digital
Forensics
PAN
Shared
Tasks
Text
Zno
DecadeDigitalForensicsPANSharedTasksTextZno
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1A Dataset for Content Error Detection in Web Archives
J. Kiesel, F. Hubricht, B. Stein, and M. Potthast. 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019), page 349--350. ACM, (June 2019)
16 days ago by @scadsfct
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Archives
Content
Dataset
Detection
Error
Web
Zno
ArchivesContentDatasetDetectionErrorWebZno
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1Argument Search: Assessing Argument Relevance
M. Potthast, L. Gienapp, F. Euchner, N. Heilenkötter, N. Weidmann, H. Wachsmuth, B. Stein, and M. Hagen. 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), ACM, (July 2019)
16 days ago by @scadsfct
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Argument
Assessing
Relevance
Search
Zno
ArgumentAssessingRelevanceSearchZno
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1Overview of the Style Change Detection Task at PAN 2019
E. Zangerle, M. Tschuggnall, G. Specht, B. Stein, and M. Potthast. Working Notes Papers of the CLEF 2019 Evaluation Labs, volume 2380 of CEUR Workshop Proceedings, (September 2019)
16 days ago by @scadsfct
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2019
Change
Detection
Overview
PAN
Style
Task
Zno
2019ChangeDetectionOverviewPANStyleTaskZno
(0)
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1The Importance of Suppressing Domain Style in Authorship Analysis
S. Bischoff, N. Deckers, M. Schliebs, B. Thies, M. Hagen, E. Stamatatos, B. Stein, and M. Potthast. CoRR, (May 2020)
16 days ago by @scadsfct
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Analysis
Authorship
Domain
Importance
Style
Suppressing
Zno
AnalysisAuthorshipDomainImportanceStyleSuppressingZno
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1Web Page Segmentation Revisited: Evaluation Framework and Dataset
J. Kiesel, F. Kneist, L. Meyer, K. Komlossy, B. Stein, and M. Potthast. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), page 3047--3054. ACM, (October 2020)
16 days ago by @scadsfct
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Dataset
Evaluation
Framework
Page
Revisited
Segmentation
Web
Zno
DatasetEvaluationFrameworkPageRevisitedSegmentationWebZno
(0)
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1Web Archive Analytics: Infrastructure & Applications @ Webis (extended abstract)
M. Völske, J. Bevendorff, J. Kiesel, B. Stein, M. Fröbe, M. Hagen, and M. Potthast. 2nd International Symposium on Open Search Technology (OSSYM 2020), International Open Search Symposium, (October 2020)
16 days ago by @scadsfct
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Analytics
Applications
Archive
Infrastructure
Web
Webis
Zno
AnalyticsApplicationsArchiveInfrastructureWebWebisZno
(0)
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1Task Proposal: Abstractive Snippet Generation for Web Pages
S. Syed, W. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast. 13th International Conference on Natural Language Generation (INLG 2020), page 237--241. Association for Computational Linguistics, (December 2020)
16 days ago by @scadsfct
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Abstractive
Generation
Pages
Proposal
Snippet
Task
Web
Zno
AbstractiveGenerationPagesProposalSnippetTaskWebZno
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143rd International Conference on IR Research (ECIR 2021)
D. Hiemstra, M. Moens, J. Mothe, R. Perego, M. Potthast, and F. Sebastiani (Eds.) volume 12656 of Lecture Notes in Computer Science, Berlin Heidelberg New York, Springer, (April 2021)
16 days ago by @scadsfct
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2021
43rd
Conference
ECIR
IR
International
Research
Zno
202143rdConferenceECIRIRInternationalResearchZno
(0)
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1When a social network writes science history: How Wikipedia frames innovation processes
A. Simons, W. Kircheis, M. Schmidt, M. Potthast, and B. Stein. Framing Innovation in a Networked World. An Interdisciplinary Workshop, (September 2021)
16 days ago by @scadsfct
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Wikipedia
Zno
history
innovation
network
processes
science
social
WikipediaZnohistoryinnovationnetworkprocessessciencesocial
(0)
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1Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, and H. Wachsmuth. 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, page 184--189. Association for Computational Linguistics, (November 2021)
16 days ago by @scadsfct
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Analysis
Argument
Contrastive
Extractive
Key
Learning
Point
Summarization
Zno
AnalysisArgumentContrastiveExtractiveKeyLearningPointSummarizationZno
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1Universal gut microbial relationships in the gut microbiome of wild baboons
K. Roche, J. Bjork, M. Dasari, L. Grieneisen, D. Jansen, T. Gould, L. Gesquiere, L. Barreiro, S. Alberts, R. Blekhman and 4 other author(s). Elife, (May 2023)
22 days ago by @scadsfct
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Zno
bacteria
between
community
correlations
cynocephalus
data
disease
dynamics
ecology
gut
infectious
longitudinal
microbiology
microbiome
microbiota
personalization
universality
Znobacteriabetweencommunitycorrelationscynocephalusdatadiseasedynamicsecologygutinfectiouslongitudinalmicrobiologymicrobiomemicrobiotapersonalizationuniversality
(0)
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1Understanding metric-related pitfalls in image analysis validation
A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli and 60 other author(s). Nat. Methods, 21 (2): 182--194 (February 2024)
22 days ago by @scadsfct
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analysis
image
pitfalls
validation
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