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2A Graph Multi-separator Problem for Image Segmentation
J. Irmai, S. Zhao, M. Schöne, J. Presberger, and B. Andres. Journal of Mathematical Imaging and Vision, 66 (5): 839--872 (Oct 1, 2024)
4 days ago by @scadsfct
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topic_visualcomputing
topic_visualcomputing
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1Logics with Concrete Domains: First-Order Properties, Abstract Expressive Power, and (Un)Decidability
F. Baader, and F. De Bortoli. ACM SIGAPP Applied Computing Review, 24 (3): 5–17 (Oct 1, 2024)
5 days ago by @scadsfct
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concrete
logics,
power,
topic_knowledge
model
expressive
domains,
description
theory
FIS_scadsconcretelogics,power,topic_knowledgemodelexpressivedomains,descriptiontheory
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2Towards Transparency and Knowledge Exchange in AI- assisted Data Analysis Code Generation
R. Haase. (October 2024)
5 days ago by @scadsfct
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topic_language
topic_lifescience
unit_transfer
topic_languagetopic_lifescienceunit_transfer
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1AI-Based-Personalized Learning in Higher Education: From Tracing Learning Processes to Providing Tailored Educational Support
S. Hummel, G. Wadhwa, {. Abbas, and M. Donner. (Sep 27, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
5 days ago by @scadsfct
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1Trustworthy AI-Mentors: Combining Large Language Models and Core NLP Techniques for Secure Learning Support
S. Hummel, {. Abbas, G. Wadhwa, and M. Donner. (Sep 27, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
5 days ago by @scadsfct
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1Secure and Effective AI-based Learning Systems: Integrating Federated Learning and Large Language Models for Privacy-Preservation in Education
S. Hummel, G. Wadhwa, {. Abbas, and M. Donner. (Sep 26, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
5 days ago by @scadsfct
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1Gestaltungsmerkmale KI-basierter Avatare zur Förderung selbstregulierten Lernens: Eine empirische Analyse
S. Hummel, M. Donner, {. Abbas, and G. Wadhwa. (Sep 26, 2024)27. Jahreskonferenz der Gemeinschaften in Neuen Medien 2024 : Vertrauen in der Krise: Kommunikationsmodelle in digitalen Gemeinschaften, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
5 days ago by @scadsfct
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1Dynamic tail risk forecasting: what do realized skewness and kurtosis add?
G. Gallo, O. Okhrin, and G. Storti. WorkingPaper, (Sep 20, 2024)
5 days ago by @scadsfct
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econ.EM
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1Proven Distributed Memory Parallelization of Particle Methods
J. Pahlke, and I. Sbalzarini. (Sep 18, 2024)
2 months ago by @scadsfct
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meshfree
definition,
software
algorithmics,
bounds,
simulation
distributed
engineering
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scalability
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particle
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1Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study
E. Marx, C. Witt, and T. Leonhardt. WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, page 1--10. Association for Computing Machinery, (Sep 16, 2024)Publisher Copyright: © 2024 Copyright held by the owner/author(s)..
5 days ago by @scadsfct
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conceptions
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1Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care
K. Hoffmann, Y. Peng, T. Schlosser, G. Stolze, H. Langner, M. Susky, T. Meyer, M. Ritter, D. Kowerko, V. Kakkassery and 2 other author(s). Studies in health technology and informatics, (Aug 30, 2024)Publisher Copyright: © 2024 The Authors..
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Diseases/therapy,
Germany,
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Humans,
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Ophthalmology
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Level
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1Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration
W. Hahn, N. Ahmadi, K. Hoffmann, J. Eckardt, M. Sedlmayr, and M. Wolfien. Studies in health technology and informatics, (Aug 22, 2024)Publisher Copyright: © 2024 The Authors..
5 days ago by @scadsfct
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1How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned
N. Ahmadi, M. Zoch, O. Guengoeze, C. Facchinello, A. Mondorf, K. Stratmann, K. Musleh, H. Erasmus, J. Tchertov, R. Gebler and 13 other author(s). Orphanet journal of rare diseases, (Aug 14, 2024)© 2024. The Author(s)..
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1Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
{. Murphy-Barltrop, {. Wadsworth, and {. Eastoe. Extremes : statistical theory and applications in science, engineering and economics, (Aug 13, 2024)Publisher Copyright: © The Author(s) 2024..
5 days ago by @scadsfct
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1Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration
L. Schäpermeier, and P. Kerschke. Parallel Problem Solving from Nature – PPSN XVIII, page 202--216. Springer, Berlin u. a., (Sep 7, 2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..
5 days ago by @scadsfct
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Performance
functions
optimization,
Multi-objective
Pareto
indicator,
Utility
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compliance,
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R2
FIS_scadsPerformancefunctionsoptimization,Multi-objectiveParetoindicator,UtilityBenchmarking,compliance,assessment,topic_engineeringR2
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1Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem
J. Heins, L. Schäpermeier, P. Kerschke, and D. Whitley. Parallel Problem Solving from Nature – PPSN XVIII, page 100--115. Springer, Berlin u. a., (Sep 7, 2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..
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Traveling
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Search,
Problem
topic_engineering
Algorithm
Heuristic
Salesperson
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1Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere
M. Anand, R. Hamed, N. Linscheid, {. Silva, J. Andre, J. Zscheischler, {. Garry, and A. Bastos. Environmental research letters, (Sep 1, 2024)Publisher Copyright: © 2024 The Author(s). Published by IOP Publishing Ltd..
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2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
L. Lange, M. Heykeroth, and E. Rahm. arXiv preprint arXiv:2409.01329, (September 2024)
5 days ago by @scadsfct
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ep
FOS:
Machine
sciences
(cs.LG),
Security
Learning
(cs.CV),
and
Vision
Computer
(cs.CR),
Cryptography
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area_responsibleai
Recognition
epFOS:Machinesciences(cs.LG),SecurityLearning(cs.CV),andVisionComputer(cs.CR),CryptographyinformationPatternarea_bigdataarea_responsibleaiRecognition
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1A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude. Computational Materials Science, (September 2024)Publisher Copyright: © 2024 The Author(s).
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Fiber
modeling,
area_architectures
plastics,
reinforced
Constitutive
Machine
identification
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networks,
Parameter
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Neural
FIS_scadsFibermodeling,area_architecturesplastics,reinforcedConstitutiveMachineidentificationlearning,networks,Parametertopic_engineeringNeural
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1Justifying argument acceptance with collective attacks: Discussions and disputes
G. Buraglio, W. Dvorak, M. König, and M. Ulbricht. Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, California, International Joint Conferences on Artificial Intelligence Organization, (August 2024)
3 months ago by @scadsfct
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2A Graph Multi-separator Problem for Image Segmentation

1Logics with Concrete Domains: First-Order Properties, Abstract Expressive Power, and (Un)Decidability

2Towards Transparency and Knowledge Exchange in AI- assisted Data Analysis Code Generation

1AI-Based-Personalized Learning in Higher Education: From Tracing Learning Processes to Providing Tailored Educational Support

1Trustworthy AI-Mentors: Combining Large Language Models and Core NLP Techniques for Secure Learning Support

1Secure and Effective AI-based Learning Systems: Integrating Federated Learning and Large Language Models for Privacy-Preservation in Education

1Gestaltungsmerkmale KI-basierter Avatare zur Förderung selbstregulierten Lernens: Eine empirische Analyse

1Dynamic tail risk forecasting: what do realized skewness and kurtosis add?

1Proven Distributed Memory Parallelization of Particle Methods

1Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study

1Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care

1Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration

1How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned

1Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function

1Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

1Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

1Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere

2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning

1A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP

1Justifying argument acceptance with collective attacks: Discussions and disputes

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