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12-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
M. Waltz, N. Paulig, and O. Okhrin. WorkingPaper, (Jul 25, 2023)
a month ago by @scadsfct
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FIS_scads
eess.SY,
cs.SY
topic_engineering
cs.AI,
FIS_scadseess.SY,cs.SYtopic_engineeringcs.AI,
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1A 4-Approximation Algorithm for Min Max Correlation Clustering.
{. Heidrich, J. Irmai, and B. Andres. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, page 1945--1953. Cambridge MA: JMLR, (2024)Publisher Copyright: Copyright 2024 by the author(s)..
a month ago by @scadsfct
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imported
topic_visualcomputing
FIS_scadsimportedtopic_visualcomputing
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1A C++ Library for Memory Layout and Performance Portability of Scientific Applications
P. Incardona, A. Gupta, S. Yaskovets, and {. Sbalzarini. Euro-Par 2022, page 109--120. Germany, Springer Science and Business Media B.V., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 28th International European Conference on Parallel and Distributed Computing , Euro-Par 2022 ; Conference date: 22-08-2022 Through 26-08-2022.
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portability
memory
algorithms,
C++
layout,
tuples,
topic_lifescience
performance
GPU,
generic
multi-core,
FIS_scadsportabilitymemoryalgorithms,C++layout,tuples,topic_lifescienceperformanceGPU,genericmulti-core,
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1A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data
N. Ahmadi, {. Nguyen, M. Sedlmayr, and M. Wolfien. Scientific reports, (Jan 27, 2024)
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Humans,
Factual,
Learning,
Health
topic_lifescience
Medical
Electronic
Informatics,
Records
Databases,
Machine
FIS_scadsHumans,Factual,Learning,Healthtopic_lifescienceMedicalElectronicInformatics,RecordsDatabases,Machine
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1A Mathematical Definition of Particle Methods
J. Bamme, and {. Sbalzarini. WorkingPaper, (May 12, 2021)
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cs.DS,
cs.CE
FIS_scadscs.DS,cs.CE
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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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1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence
A. Singh, {. Suhrcke, P. Incardona, and {. Sbalzarini. Physics of fluids, (Oct 1, 2023)Publisher Copyright: © 2023 Author(s)..
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FIS_scadsimportedtopic_lifescience
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1A Unifying Mathematical Definition of Particle Methods
J. Pahlke, and {. Sbalzarini. IEEE open journal of the computer society : an open access publication of the IEEE Computer Society, (2023)Publisher Copyright: © 2020 IEEE..
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Algorithmics,
mesh-free
definition,
software
simulation
engineering
methods,
formal
algorithms,
topic_lifescience
particle
parallelization,
FIS_scadsAlgorithmics,mesh-freedefinition,softwaresimulationengineeringmethods,formalalgorithms,topic_lifescienceparticleparallelization,
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1Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems
S. Perez, S. Maddu, {. Sbalzarini, and P. Poncet. Journal of computational physics, (Oct 15, 2023)Publisher Copyright: © 2023 The Author(s).
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training,
Uncertainty
Artificial
Bayesian
Quantification
neural
weight
Multi-objective
Monte
physics-informed
Intelligence,
learning,
Carlo,
networks,
Adaptive
topic_lifescience
Hamiltonian
FIS_scadstraining,UncertaintyArtificialBayesianQuantificationneuralweightMulti-objectiveMontephysics-informedIntelligence,learning,Carlo,networks,Adaptivetopic_lifescienceHamiltonian
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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
bias,
learning,
Estimation
expected
testing
Reinforcement
topic_engineering
Maximum
Q-learning,
value,
FIS_scadsTwo-samplebias,learning,EstimationexpectedtestingReinforcementtopic_engineeringMaximumQ-learning,value,
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1ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
S. Ellmauthaler, {. Gaggl, D. Rusovac, and {. Wallner. Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), volume 220146 of FAIA, page 355–356. Netherlands, IOS Press, Amsterdam u. a., (Sep 1, 2022)Funding Information: 1This work is partly supported by the BMBF, Grant 01IS20056 NAVAS, by the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), and by the DFG through the Collaborative Research Center, Grant TRR 248 project ID 389792660. 2https://github.com/ellmau/adf-obdd, version 0.2.4, https://crates.io/crates/adf_bdd 3https://crates.io/crates/biodivine-lib-bdd.
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dialectical
diagrams,
decision
topic_knowledge
binary
rust-lang
abstract
frameworks,
FIS_scadsdialecticaldiagrams,decisiontopic_knowledgebinaryrust-langabstractframeworks,
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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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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,
data,
AIS,
FIS_scadsTrajectorytopic_engineeringData-driven,extractionBigOpen-source,data,AIS,
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1ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures
L. Kalms, M. Nickel, and D. Göhringer. Applied Reconfigurable Computing. Architectures, Tools, and Applications - 19th International Symposium, ARC 2023, Proceedings, page 97--112. Germany, Springer Science and Business Media B.V., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th International Symposium on Applied Reconfigurable Computing, ARC 2023 ; Conference date: 27-09-2023 Through 29-09-2023.
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topic_federatedlearn
OpenVX
FPGA,
Computer
Vision,
HLS,
Framework,
FIS_scadstopic_federatedlearnOpenVXFPGA,ComputerVision,HLS,Framework,
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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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imported
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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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1Assessing Learning Results
S. Hummel, B. Sheehan, L. Monirith, and T. Mukunthan. page 92--124. University of Graz, (2021)
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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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cs.CY
area_responsibleai
FIS_scadscs.CYarea_responsibleai
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1Auto-DOK: Compiler-Assisted Automatic Detection of Offload Kernels for FPGA-HBM Architectures
V. Iskandar, {. Abd El Ghany, and D. Goehringer. Proceedings - 2023 26th Euromicro Conference on Digital System Design, DSD 2023, page 577--584. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 26th Euromicro Conference on Digital System Design, DSD 2023 ; Conference date: 06-09-2023 Through 08-09-2023.
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Architectures
topic_federatedlearn
Memory
Characterization,
(HBM),
Parallel
High-bandwidth
Code
FIS_scadsArchitecturestopic_federatedlearnMemoryCharacterization,(HBM),ParallelHigh-bandwidthCode
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1Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements
A. Walther, J. Striegl, C. Loitsch, S. Pannasch, and G. Weber. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 14th International Conference, DHM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings, page 341--354. Germany, Springer, Berlin u. a., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023 ; Conference date: 23-07-2023 Through 28-07-2023.
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User
Nystagmus
Determination,
Parameter
Classification,
Modelling
Eye-Movement
area_responsibleai
FIS_scadsUserNystagmusDetermination,ParameterClassification,ModellingEye-Movementarea_responsibleai
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publications (hide)199
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12-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following

1A 4-Approximation Algorithm for Min Max Correlation Clustering.

1A C++ Library for Memory Layout and Performance Portability of Scientific Applications

1A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data

1A Mathematical Definition of Particle Methods

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

1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence

1A Unifying Mathematical Definition of Particle Methods

1Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems

1Addressing maximization bias in reinforcement learning with two-sample testing

1ADF - BDD : An ADF Solver Based on Binary Decision Diagrams

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

1An open-source framework for data-driven trajectory extraction from AIS data—The α-method

1ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures

2Artificial Intelligence Reporting Guidelines' Adherence in Nephrology for Improved Research and Clinical Outcomes

1Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root

1Assessing Learning Results

1Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges

1Auto-DOK: Compiler-Assisted Automatic Detection of Offload Kernels for FPGA-HBM Architectures

1Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements

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