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1Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning
C. Barrasso, R. Krüger, A. Eltner, and {. Cord. Ecological indicators, (December 2024)Publisher Copyright: © 2024 The Author(s).
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1Graph based process models as basis for efficient data driven surrogates - Expediting the material development process
J. Gerritzen, A. Hornig, and M. Gude. WorkingPaper, Open Engineering Inc., (Nov 16, 2024)
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making
modeling,
decision
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Data
development,
Process
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driven
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1An open-source framework for data-driven trajectory extraction from AIS data—The α-method
N. Paulig, and O. Okhrin. Ocean engineering, (Nov 15, 2024)Publisher Copyright: © 2024 The Author(s).
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Trajectory
topic_engineering
Data-driven,
extraction
Big
Open-source,
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AIS,
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1Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 238 (12): 2286--2298 (Nov 15, 2024)Publisher Copyright: © IMechE 2024..
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Eulerian,
Joining,
Lagrangian
simulation
composite,
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Arbitrary
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1Teaching Innovation Workshop: Skill Transformation in AI-Enhanced Education
S. Hummel, and M. Donner. (Nov 12, 2024)Teaching Innovation Workshop: Skill Transformation in AI-Enhanced Education ; Conference date: 12-11-2024 Through 12-11-2024.
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1Addressing maximization bias in reinforcement learning with two-sample testing
M. Waltz, and O. Okhrin. Artificial intelligence, (November 2024)Publisher Copyright: © 2024 The Author(s).
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Two-sample
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Estimation
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Reinforcement
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Maximum
Q-learning,
value,
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1Two-step dynamic obstacle avoidance
F. Hart, M. Waltz, and O. Okhrin. Knowledge-based systems, (Oct 25, 2024)Publisher Copyright: © 2024 The Author(s).
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Dynamic
Local
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Deep
Supervised
planning,
path
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avoidance,
reinforcement
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obstacle
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1Challenges and applications in generative AI for clinical tabular data in physiology
C. Umesh, M. Mahendra, S. Bej, O. Wolkenhauer, and M. Wolfien. Pflügers Archiv : European journal of physiology, (Oct 17, 2024)© 2024. The Author(s)..
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1From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
C. Witt, T. Leonhardt, E. Marx, and N. Bergner. Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, page 73--84. Springer, Berlin u. a., (Oct 13, 2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025..
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1Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges
I. Aydin, H. Diebel-Fischer, V. Freiberger, J. Möller-Klapperich, E. Buchmann, M. Färber, A. Lauber-Rönsberg, and B. Platow. WorkingPaper, (Oct 10, 2024)
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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.
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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.
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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.
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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.
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2Dynamic tail risk forecasting: what do realized skewness and kurtosis add?
G. Gallo, O. Okhrin, and G. Storti. WorkingPaper, (Sep 20, 2024)
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topic_engineering
econ.EM
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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)..
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models,
students
mental
misconceptions,
artificial
research,
intelligence,
qualitative
study,
learning,
machine
interview
area_responsibleai
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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Learning,
Health
Diseases/therapy,
Germany,
Interoperability/standards,
Information
Electronic
Machine
Humans,
Eye
Records/standards,
topic_lifescience
Ophthalmology
Seven/standards,
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..
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Health
Leukemia,
Hematology,
Information
Electronic
Care
Humans,
Acute,
Assessment,
Outcome
topic_lifescience
Interoperability,
Records,
Myeloid,
FIS_scadsHealthLeukemia,Hematology,InformationElectronicCareHumans,Acute,Assessment,Outcometopic_lifescienceInteroperability,Records,Myeloid,
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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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Humans,
Rare
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Diseases
FIS_scadsHumans,Raretopic_lifescienceDiseases
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1Inference for bivariate extremes via a semi-parametric angular-radial model
{. Murphy-Barltrop, E. Mackay, and P. Jonathan. Extremes : statistical theory and applications in science, engineering and economics, (Oct 3, 2024)Publisher Copyright: © The Author(s) 2024..
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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)
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concrete
logics,
power,
topic_knowledge
model
expressive
domains,
description
theory
FIS_scadsconcretelogics,power,topic_knowledgemodelexpressivedomains,descriptiontheory
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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..
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Performance
functions
optimization,
Multi-objective
Pareto
indicator,
Utility
Benchmarking,
compliance,
assessment,
topic_engineering
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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Hardness,
Traveling
Configuration,
Benchmarking,
Search,
Problem
topic_engineering
Algorithm
Heuristic
Salesperson
FIS_scadsHardness,TravelingConfiguration,Benchmarking,Search,Problemtopic_engineeringAlgorithmHeuristicSalesperson
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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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area
legacy
events,
winter
index
vegetation
climate
compound
activity,
extremes,
leaf
effects,
FIS_scadsarealegacyevents,winterindexvegetationclimatecompoundactivity,extremes,leafeffects,
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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
learning,
networks,
Parameter
topic_engineering
Neural
FIS_scadsFibermodeling,area_architecturesplastics,reinforcedConstitutiveMachineidentificationlearning,networks,Parametertopic_engineeringNeural
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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..
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1Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root
H. Jiang, O. Okhrin, and M. Rockinger. Statistica Neerlandica, (Jul 31, 2024)Publisher Copyright: © 2024 The Author(s). Statistica Neerlandica published by John Wiley & Sons Ltd on behalf of Netherlands Society for Statistics and Operations Research..
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small
network,
neural
bias
topic_engineering
correction,
sample
FIS_scadssmallnetwork,neuralbiastopic_engineeringcorrection,sample
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1Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
K. Dietrich, D. Vermetten, C. Doerr, and P. Kerschke. Proceedings of the Genetic and Evolutionary Computation Conference, page 1007 -- 1016. United States of America, Association for Computing Machinery (ACM), (Jul 14, 2024)Publisher Copyright: © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM..
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1Motivational Dynamics in AI-Enhanced Education: Unveiling Student Perspectives
S. Hummel, and M. Donner. (Jul 12, 2024)12th European Conference on Education ; Conference date: 11-07-2024 Through 15-07-2024.
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area_responsibleai
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1Student Needs and the Role of AI Mentors in Higher Education
S. Hummel, and M. Donner. (Jul 11, 2024)12th European Conference on Education ; Conference date: 11-07-2024 Through 15-07-2024.
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1The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities
S. Hummel, and M. Donner. (Jun 25, 2024)The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities ; Conference date: 25-06-2024 Through 25-06-2024.
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1Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis (Extended Abstract)
F. Kriegel. Proceedings of the 37th International Workshop on Description Logics (DL 2024), June 18--21, 2024, Bergen, Norway, RTWH Aachen, (Jun 18, 2024)DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions..
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topic_knowledge
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1Motivational Impacts of AI on Student Learning
S. Hummel, and M. Donner. (Jun 16, 2024)The Paris Conference on Education 2024 ; Conference date: 13-06-2024 Through 17-06-2024.
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1Digital Companions for Learners: Design Principles for AI Assistants in Education
S. Hummel, and M. Donner. (Jun 15, 2024)The Paris Conference on Education 2024 ; Conference date: 13-06-2024 Through 17-06-2024.
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1Automated quantification of photoreceptor outer segments in developing and degenerating retinas on microscopy images across scales
S. Seidemann, F. Salomon, {. Hoffmann, T. Kurth, {. Sbalzarini, R. Haase, and M. Ader. FRONTIERS IN MOLECULAR NEUROSCIENCE, (May 24, 2024)Copyright © 2024 Seidemann, Salomon, Hoffmann, Kurth, Sbalzarini, Haase and Ader..
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topic_lifescience
unit_transfer
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1Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic
{. Kulkarni, {. Chaudhari, {. Srinivasan, {. Chilukuri, M. Treiber, and O. Okhrin. WorkingPaper, (May 17, 2024)
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topic_engineering
physics.soc-ph
FIS_scadstopic_engineeringphysics.soc-ph
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1Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
J. Eckardt, W. Hahn, C. Röllig, S. Stasik, U. Platzbecker, C. Müller-Tidow, H. Serve, {. Baldus, C. Schliemann, K. Schäfer-Eckart and 9 other author(s). npj digital medicine, (Mar 20, 2024)Publisher Copyright: © The Author(s) 2024..
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1Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches
J. Richter, {. Dammann, M. Kluge, B. Saske, S. Arndt, A. Hornig, K. Paetzold-Byhain, and N. Modler. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, page 1576--1583. European Society for Composite Materials (ESCM), (Jul 2, 2024)21st European Conference on Composite Materials, ECCM 21 ; Conference date: 02-07-2024 Through 05-07-2024.
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segmentation,
composites,
process
product
x-ray
data,
synthetic
hybrid
topic_engineering
computed
experimental-numerical
model-based
woven
event-driven
training
lifecycle/data
structures,
management,
chains,
fiber-reinforced
systems
validation,
composite
tomography
engineering,
FIS_scadssegmentation,composites,processproductx-raydata,synthetichybridtopic_engineeringcomputedexperimental-numericalmodel-basedwovenevent-driventraininglifecycle/datastructures,management,chains,fiber-reinforcedsystemsvalidation,compositetomographyengineering,
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1Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, page 1252--1259. European Society for Composite Materials (ESCM), (Jul 2, 2024)21st European Conference on Composite Materials, ECCM 21 ; Conference date: 02-07-2024 Through 05-07-2024.
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Convolutional
FIS_scads
Fiber
area_architectures
neural
plastics
rate
dependency,
reinforced
Direct
Strain
Machine
learning,
networks,
identification,
parameter
topic_engineering
ConvolutionalFIS_scadsFiberarea_architecturesneuralplasticsratedependency,reinforcedDirectStrainMachinelearning,networks,identification,parametertopic_engineering
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1Developing a Fluvial and Pluvial Stochastic Flood Model of Southeast Asia
G. Olcese, {. Bates, {. Neal, {. Sampson, {. Wing, N. Quinn, {. Murphy-Barltrop, and I. Probyn. Water Resources Research, (Jun 3, 2024)Publisher Copyright: © 2024. The Authors..
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models,
modeling
topic_mathfoundation
exposure,
stochastic
Asia,
flood,
global
population
Southeast
hydrological
FIS_scadsmodels,modelingtopic_mathfoundationexposure,stochasticAsia,flood,globalpopulationSoutheasthydrological
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1The Precise Complexity of Reasoning in ALC with ω-Admissible Concrete Domains
F. De Bortoli, S. Borgwardt, and P. Koopmann. Proceedings of the 37th International Workshop on Description Logics (DL 2024), 3739, CEUR-WS.org, (June 2024)
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1Copula modeling from Abe Sklar to the present day
C. Genest, O. Okhrin, and T. Bodnar. Journal of Multivariate Analysis, (May 2024)Publisher Copyright: © 2023.
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Copula
models,
modeling
Dependence
topic_engineering
FIS_scadsCopulamodels,modelingDependencetopic_engineering
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1Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets
A. Müller, D. Schmidt, {. Albrecht, L. Rieckert, M. Otto, {. Galicia Garcia, G. Fabig, M. Solimena, and M. Weigert. Nature protocols, 19 (5): 1436--1466 (May 2024)Publisher Copyright: © Springer Nature Limited 2024..
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Electron/methods,
Analysis,
Organelles/ultrastructure,
Imaging,
Image
Humans,
Spatial
Microscopy
Electron
Volume
Microscopy,
Computer-Assisted/methods,
Processing,
Three-Dimensional/methods,
Software,
FIS_scadsElectron/methods,Analysis,Organelles/ultrastructure,Imaging,ImageHumans,SpatialMicroscopyElectronVolumeMicroscopy,Computer-Assisted/methods,Processing,Three-Dimensional/methods,Software,
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1Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”
C. Genest, O. Okhrin, and T. Bodnar. Journal of Multivariate Analysis, (May 2024)
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1NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling
J. Haase, N. Charaf, A. Groß, and D. Göhringer. ACM Transactions on Reconfigurable Technology and Systems, 17 (3): 1--29 (Apr 27, 2024)Publisher Copyright: © 2024 Copyright held by the owner/author(s)..
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1Robust path following on rivers using bootstrapped reinforcement learning
N. Paulig, and O. Okhrin. Ocean engineering, (Apr 15, 2024)Publisher Copyright: © 2024 The Authors.
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Path
waterways
Autonomous
Restricted
learning,
surface
vessel,
reinforcement
Deep
topic_engineering
following,
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1Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development
D. Li, P. Auerbach, and O. Okhrin. WorkingPaper, (Apr 9, 2024)
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2Artificial Intelligence Reporting Guidelines' Adherence in Nephrology for Improved Research and Clinical Outcomes
{. Salybekov, M. Wolfien, W. Hahn, S. Hidaka, and S. Kobayashi. Biomedicines, (Mar 7, 2024)Publisher Copyright: © 2024 by the authors..
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1Correlation Clustering of Organoid Images.
J. Presberger, R. Keshara, D. Stein, {. Kim, A. Grapin-Botton, and B. Andres. WorkingPaper, (March 2024)
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1Compounding effects in flood drivers challenge estimates of extreme river floods
S. Jiang, L. Tarasova, G. Yu, and J. Zscheischler. Science advances, (March 2024)Publisher Copyright: © 2024 American Association for the Advancement of Science. All rights reserved..
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