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2Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning
M. Novitasari, J. Quaas, and M. Rodrigues. Environmental Data Science, (2024)
9 months ago by @scadsfct
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autoconversion
forecasting
learning
machine
rates
satellite
yaff
autoconversionforecastinglearningmachineratessatelliteyaff
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1New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
B. Derraz, G. Breda, C. Kaempf, F. Baenke, F. Cotte, K. Reiche, U. Köhl, J. Kather, D. Eskenazy, and S. Gilbert. npj Precision Oncology, (January 2024)
9 months ago by @scadsfct
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AI-based
cell
drug
oncology
precision
regulatory
therapies
thinking
yaff
AI-basedcelldrugoncologyprecisionregulatorytherapiesthinkingyaff
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1A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer
M. Rade, M. Kreuz, A. Borkowetz, U. Sommer, C. Blumert, S. Füssel, C. Bertram, D. Löffler, D. Otto, L. Wöller and 9 other author(s). Molecular Medicine, (February 2024)
9 months ago by @scadsfct
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applicable
biopsies
cancer
formalin-fixed
paraffin-embedded
predictionprostate
risk-score
transcriptomic
yaff
applicablebiopsiescancerformalin-fixedparaffin-embeddedpredictionprostaterisk-scoretranscriptomicyaff
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1Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.
M. Bauer, and C. Augenstein. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, volume 35 of FedCSIS 2023, page 93–101. IEEE, (September 2023)
9 months ago by @scadsfct
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Comparative
Computer
Self-Supervised
Study
Unlabelled
Vision
yaff
data
learning
ComparativeComputerSelf-SupervisedStudyUnlabelledVisionyaffdatalearning
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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). European Respiratory Review, 31 (165): 220056 (July 2022)
9 months ago by @scadsfct
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imported
yaff
importedyaff
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1Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats
V. Ahvonen, D. Heiman, A. Kuusisto, and C. Lutz. (2024)
9 months ago by @scadsfct
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1Description Logics with Abstraction and Refinement: From ALC to EL
C. Lutz, and L. Schulze. Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning, page 542–552. International Joint Conferences on Artificial Intelligence Organization, (November 2024)
9 months ago by @scadsfct
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1The effect of lookahead on phase transition in migration of three species with cyclic predator–prey relations
O. Kayacan, and M. Middendorf. Journal of Statistical Mechanics: Theory and Experiment, 2024 (2): 023212 (February 2024)
9 months ago by @scadsfct
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imported
yaff
xack
importedyaffxack
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1ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets
K. Schultz, S. Bej, W. Hahn, M. Wolfien, P. Srivastava, and O. Wolkenhauer. Pattern Recognition, (2024)
9 months ago by @scadsfct
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yaff
yaff
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2A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation
S. Simon, A. Mailach, J. Dorn, and N. Siegmund. (2024)
9 months ago by @scadsfct
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topic_software
yaff
topic_softwareyaff
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2Practitioners' Discussions on Building LLM-based Applications for Production
A. Mailach, S. Simon, J. Dorn, and N. Siegmund. (2024)
9 months ago by @scadsfct
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topic_software
yaff
xack
topic_softwareyaffxack
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1A workflow to systematically design uncertainty-aware visual analytics applications
R. Maack, F. Raith, J. Pérez, G. Scheuermann, and C. Gillmann. The Visual Computer, 41 (3): 1485--1498 (Jun 7, 2025)
9 months ago by @scadsfct
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analytics
applications
visual
xack
yaff
analyticsapplicationsvisualxackyaff
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1“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot
A. Mailach, D. Gorgosch, N. Siegmund, and J. Siegmund. Empirical Software Engineering, 30 (1): 34 (Nov 30, 2025)
9 months ago by @scadsfct
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topic_software
yaff
xack
topic_softwareyaffxack
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2Socio-Technical Challenges and Recommendations for Mitigation when Building ML-Enabled Systems
A. Mailach, and N. Siegmund. Software Engineering 2024 (SE 2024), Gesellschaft für Informatik e.V., Bonn, (2024)
9 months ago by @scadsfct
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topic_software
yaff
topic_softwareyaff
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1Metrics reloaded: recommendations for image analysis validation
L. Maier-Hein, A. Reinke, P. Godau, M. Tizabi, F. Buettner, E. Christodoulou, B. Glocker, F. Isensee, J. Kleesiek, M. Kozubek and 2 other author(s). Nature methods, 21 (2): 195--212 (2024)
9 months ago by @scadsfct
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topic_lifescience
yaff
topic_lifescienceyaff
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1Empowering Students with AI-based Chatbot Assistants
S. Hummel, T. Köhler, N. Brouwer-Zupancic, R. Egger, and M. Rieger. (2023)
9 months ago by @scadsfct
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yaff
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1BikeSimWS: Workshop on Simulators, Scenarios, and Test Standard for Bicycle Research
P. Wintersberger, A. Matviienko, Y. Wang, P. Ebel, A. Al-Taie, S. Brewster, F. Michahelles, and A. Stuiver. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, page 552--555. (2023)
9 months ago by @scadsfct
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1Prediction of functional therapeutic response to thrombectomy in acute stroke using neural networks
K. Stoll, M. von Braun, D. Kürsten, F. Welle, M. Wawrzyniak, A. Groos, J. Klingbeil, A. Stockert, D. Kaiser, E. Kellner and 5 other author(s). Clin. Neurophysiol., (March 2024)
9 months ago by @scadsfct
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yaff
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1GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
S. Yuan, and M. Färber. Findings of the Association for Computational Linguistics: NAACL 2024, page 920--933. Mexico City, Mexico, Association for Computational Linguistics, (June 2024)
9 months ago by @scadsfct
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1Cautionary remarks on the Planetary Boundary visualisation
M. Mahecha, and G. Kraemer. EGUsphere, (2023)
9 months ago by @scadsfct
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imported
yaff
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publications (hide)679
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2Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning

1New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology

1A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer

1Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

1A pulmonologist’s guide to perform and analyse cross-species single lung cell transcriptomics

1Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats

1Description Logics with Abstraction and Refinement: From ALC to EL

1The effect of lookahead on phase transition in migration of three species with cyclic predator–prey relations

1ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets

2A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation

2Practitioners' Discussions on Building LLM-based Applications for Production

1A workflow to systematically design uncertainty-aware visual analytics applications

1“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot

2Socio-Technical Challenges and Recommendations for Mitigation when Building ML-Enabled Systems

1Metrics reloaded: recommendations for image analysis validation

1Empowering Students with AI-based Chatbot Assistants

1BikeSimWS: Workshop on Simulators, Scenarios, and Test Standard for Bicycle Research

1Prediction of functional therapeutic response to thrombectomy in acute stroke using neural networks

1GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism

1Cautionary remarks on the Planetary Boundary visualisation

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