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1Efficient Dependency Analysis for Rule-Based Ontologies
L. González, A. Ivliev, M. Krötzsch, and S. Mennicke. The Semantic Web – ISWC 2022, page 267 -- 283. Germany, Springer, Berlin u. a., (Oct 16, 2022)Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG..
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topic_graph
Acyclicity,
Chase
Core
Existential
FIS_scads
Ontology
Ontology-based
Rule
algorithm
answering,
dependencies,
query
reasoning,
rules,
stratification,
topic_knowledgetopic_graphAcyclicity,ChaseCoreExistentialFIS_scadsOntologyOntology-basedRulealgorithmanswering,dependencies,queryreasoning,rules,stratification,
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1Tuple-Generating Dependencies Capture Complex Values
M. Marx, and M. Krötzsch. Proceedings of the 25th International Conference on Database Theory (ICDT 2022), volume 220 of 25th International Conference on Database Theory (ICDT 2022) ; Vol. 220, page 13:1–13:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (Mar 1, 2022)Publisher Copyright: © Maximilian Marx and Markus Krötzsch;.
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topic_graph
Datalog,
FIS_scads
chase
complexity,
existential
rules,
standard
terminating
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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
description
domains,
expressive
logics,
model
power,
theory
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1Evonne: Interactive Proof Visualization for Description Logics (System Description)
C. Alrabbaa, F. Baader, S. Borgwardt, R. Dachselt, P. Koopmann, and J. Méndez. Automated Reasoning - 11th International Joint Conference, IJCAR 2022, Proceedings, page 271--280. Germany, Springer, Berlin u. a., (2022)Publisher Copyright: © 2022, The Author(s)..
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1Optimal Repairs in Ontology Engineering as Pseudo-Contractions in Belief Change
F. Baader. Proceedings of the ACM Symposium on Applied Computing, page 983--990. Association for Computing Machinery, (Mar 27, 2023)Publisher Copyright: © 2023 ACM..
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belief
change,
description
logic,
ontology
repair
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1The Abstract Expressive Power of First-Order and Description Logics with Concrete Domains
F. Baader, and F. De Bortoli. Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, page 754--761. United States of America, Association for Computing Machinery (ACM), New York, (2024)Publisher Copyright: © 2024 Copyright held by the owner/author(s)..
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1On the Abstract Expressive Power of Description Logics with Concrete Domains
F. De Bortoli, and F. Baader. Proceedings of the 36th International Workshop on Description Logics, volume 3515 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)
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1On the Abstract Expressive Power of Description Logics with Concrete Domains (Extended Version)
F. De Bortoli, and F. Baader. WorkingPaper, Technische Universität Dresden, (2023)
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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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binary
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diagrams,
dialectical
frameworks,
rust-lang
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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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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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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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(HBM),
Architectures
Characterization,
Code
FIS_scads
High-bandwidth
Memory
Parallel
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1Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems
V. Iskandar, {. El Ghany, and D. Goehringer. Proceedings - 2023 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023, page 357--358. United States of America, Institute of Electrical and Electronics Engineers Inc., (Nov 2, 2023)Publisher Copyright: © 2023 IEEE.; 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023 ; Conference date: 04-09-2023 Through 08-09-2023.
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Architectures,
Computing,
FIS_scads
High
Near
Parallel
Prediction
bandwidth
memories,
memory
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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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Computer
FIS_scads
FPGA,
Framework,
HLS,
OpenVX
Vision,
topic_federatedlearnComputerFIS_scadsFPGA,Framework,HLS,OpenVXVision,
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1Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms
V. Iskandar, {. El Ghany, and D. Goehringer. Proceedings - 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, page 222. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023 ; Conference date: 08-05-2023 Through 11-05-2023.
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FIS_scads
High-bandwidth
architectures,
characterization,
computing,
memory,
near-memory
parallel
prediction
topic_federatedlearnFIS_scadsHigh-bandwidtharchitectures,characterization,computing,memory,near-memoryparallelprediction
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1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures
N. Charaf, J. Haase, A. Kulisch, {. Elm, and D. Göhringer. 2023 26th Euromicro Conference on Digital System Design (DSD), page 585--592. IEEE, (Sep 8, 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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Computer
Embedded
FIS_scads
Machine
Runtime,
Scalability,
Shape
algorithms,
architecture,
computing,
learning
vision,
topic_federatedlearnComputerEmbeddedFIS_scadsMachineRuntime,Scalability,Shapealgorithms,architecture,computing,learningvision,
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1SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis
N. Jurenaite, D. León-Periñán, V. Donath, S. Torge, and R. Jäkel. BioSystems, (January 2024)Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved..
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topic_federatedlearn
livinglab
Artificial
Biomedical
Exome/genetics,
FIS_scads
Humans,
Intelligence,
Medical
Neoplasms/genetics
Oncology,
Research,
topic_federatedlearnlivinglabArtificialBiomedicalExome/genetics,FIS_scadsHumans,Intelligence,MedicalNeoplasms/geneticsOncology,Research,
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1SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
N. Jurenaite, D. Leon-Perinan, V. Donath, S. Torge, and R. Jakel. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, page 139--147. United States of America, IEEE, New York u. a., (2022)Publisher Copyright: © 2022 IEEE.; 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022 ; Conference date: 15-08-2022 Through 17-08-2022.
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topic_federatedlearn
livinglab
Deep
FIS_scads
Network,
Neural
Representations
Set
analysis,
expression,
gene
genome,
language
molecular
multi-omics,
mutome,
natural
processing,
sequence
topic_federatedlearnlivinglabDeepFIS_scadsNetwork,NeuralRepresentationsSetanalysis,expression,genegenome,languagemolecularmulti-omics,mutome,naturalprocessing,sequence
(0)
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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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imported
topic_engineeringFIS_scadsimported
(0)
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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..
a month ago by @scadsfct
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topic_engineering
Algorithm
Benchmarking,
Configuration,
FIS_scads
Hardness,
Heuristic
Problem
Salesperson
Search,
Traveling
topic_engineeringAlgorithmBenchmarking,Configuration,FIS_scadsHardness,HeuristicProblemSalespersonSearch,Traveling
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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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topic_engineering
Benchmarking,
FIS_scads
Multi-objective
Pareto
Performance
R2
Utility
assessment,
compliance,
functions
indicator,
optimization,
topic_engineeringBenchmarking,FIS_scadsMulti-objectiveParetoPerformanceR2Utilityassessment,compliance,functionsindicator,optimization,
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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)
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topic_engineering
FIS_scads
cs.AI,
cs.SY
eess.SY,
topic_engineeringFIS_scadscs.AI,cs.SYeess.SY,
(0)
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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).
a month ago by @scadsfct
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topic_engineering
Deep
Dynamic
FIS_scads
Local
Supervised
avoidance,
learning
learning,
obstacle
path
planning,
reinforcement
topic_engineeringDeepDynamicFIS_scadsLocalSupervisedavoidance,learninglearning,obstaclepathplanning,reinforcement
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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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topic_engineering
FIS_scads
bias
correction,
network,
neural
sample
small
topic_engineeringFIS_scadsbiascorrection,network,neuralsamplesmall
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1Penalized estimation of hierarchical Archimedean copula
O. Okhrin, and A. Ristig. Journal of Multivariate Analysis, (2023)Publisher Copyright: © 2023.
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topic_engineering
Archimedean
FIS_scads
Hierarchical
Maximum
Stage-wise
copula,
estimation
estimation,
likelihood
topic_engineeringArchimedeanFIS_scadsHierarchicalMaximumStage-wisecopula,estimationestimation,likelihood
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1Spatial–temporal recurrent reinforcement learning for autonomous ships
M. Waltz, and O. Okhrin. Neural Networks, 2023 (165): 634--653 (Jun 15, 2023)Publisher Copyright: © 2023 Elsevier Ltd.
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topic_engineering
Algorithms,
Autonomous
COLREG,
Computer,
Deep
FIS_scads
Networks,
Neural
Psychology,
Recurrency,
Reinforcement,
Reward
Ships,
learning,
reinforcement
surface
vehicle,
topic_engineeringAlgorithms,AutonomousCOLREG,Computer,DeepFIS_scadsNetworks,NeuralPsychology,Recurrency,Reinforcement,RewardShips,learning,reinforcementsurfacevehicle,
(0)
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1Vessel-following model for inland waterways based on deep reinforcement learning
F. Hart, O. Okhrin, and M. Treiber. Ocean engineering, (August 2023)Publisher Copyright: © 2023 Elsevier Ltd.
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topic_engineering
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imported
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(0)
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1Data-driven determination of plant growth stages for improved weather index insurance design
J. Zou, M. Odening, and O. Okhrin. Agricultural Finance Review, (2024)Publisher Copyright: © 2024, Jing Zou, Martin Odening and Ostap Okhrin..
a month ago by @scadsfct
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topic_engineering
FIS_scads
Generalized
Machine
Plant
Temporal
Weather
additive
basis
growth
index
insurance
learning,
model,
risk,
stages,
topic_engineeringFIS_scadsGeneralizedMachinePlantTemporalWeatheradditivebasisgrowthindexinsurancelearning,model,risk,stages,
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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
FIS_scads
physics.soc-ph
topic_engineeringFIS_scadsphysics.soc-ph
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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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topic_engineering
FIS_scads
cs.AI
cs.RO,
topic_engineeringFIS_scadscs.AIcs.RO,
(0)
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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).
a month ago by @scadsfct
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topic_engineering
Estimation
FIS_scads
Maximum
Q-learning,
Reinforcement
Two-sample
bias,
expected
learning,
testing
value,
topic_engineeringEstimationFIS_scadsMaximumQ-learning,ReinforcementTwo-samplebias,expectedlearning,testingvalue,
(0)
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1Plant growth stages and weather index insurance design
J. Zou, M. Odening, and O. Okhrin. Annals of actuarial science, 17 (3): 438--458 (Nov 3, 2023)Publisher Copyright: © The Author(s), 2023. Published by Cambridge University Press on behalf of Institute and Faculty of Actuaries..
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topic_engineering
FIS_scads
PS-ANOVA,
Weather
additive
generalized
growth
indemnity,
index
insurance
model,
nonlinear
plant
stages,
topic_engineeringFIS_scadsPS-ANOVA,Weatheradditivegeneralizedgrowthindemnity,indexinsurancemodel,nonlinearplantstages,
(0)
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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.
a month ago by @scadsfct
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topic_engineering
Autonomous
Deep
FIS_scads
Path
Restricted
following,
learning,
reinforcement
surface
vessel,
waterways
topic_engineeringAutonomousDeepFIS_scadsPathRestrictedfollowing,learning,reinforcementsurfacevessel,waterways
(0)
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1Flight delay propagation inference in air transport networks using the multilayer perceptron
G. Chen, H. Fricke, O. Okhrin, and J. Rosenow. Journal of air transport management, (January 2024)Publisher Copyright: © 2023 Elsevier Ltd.
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topic_engineering
Delay
FIS_scads
Granger
Multilayer
causality,
perceptron
propagation,
topic_engineeringDelayFIS_scadsGrangerMultilayercausality,perceptronpropagation,
(0)
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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).
a month ago by @scadsfct
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topic_engineering
AIS,
Big
Data-driven,
FIS_scads
Open-source,
Trajectory
data,
extraction
topic_engineeringAIS,BigData-driven,FIS_scadsOpen-source,Trajectorydata,extraction
(0)
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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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topic_engineering
Copula
Dependence
FIS_scads
modeling
models,
topic_engineeringCopulaDependenceFIS_scadsmodelingmodels,
(0)
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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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topic_engineering
FIS_scads
imported
topic_engineeringFIS_scadsimported
(0)
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1Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer
D. Li, and O. Okhrin. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, page 866--873. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 26th IEEE International Conference on Intelligent Transportation Systems : Towards a New Era of Human-aware, Human-interactive, and Human-friendly ITS, ITSC 2023 ; Conference date: 24-09-2023 Through 28-09-2023.
a month ago by @scadsfct
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topic_engineering
FIS_scads
imported
topic_engineeringFIS_scadsimported
(0)
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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
FIS_scads
econ.EM
topic_engineeringFIS_scadsecon.EM
(0)
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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..
a month ago by @scadsfct
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topic_engineering
Arbitrary
Eulerian,
FIS_scads
Joining,
Lagrangian
composite,
simulation
topic_engineeringArbitraryEulerian,FIS_scadsJoining,Lagrangiancomposite,simulation
(0)
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1Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law
M. Kuhtz, J. Gerritzen, J. Wiegand, A. Hornig, and M. Gude. 14th European LS-DYNA Users Conference, DYNAmore GmbH, (October 2023)14th European LS-DYNA Conference 2023 ; Conference date: 18-10-2023 Through 19-10-2023.
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topic_engineering
FIS_scads
imported
topic_engineeringFIS_scadsimported
(0)
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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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topic_engineering
Data
FIS_scads
Process
Surrogate
decision
development,
driven
making
modeling,
topic_engineeringDataFIS_scadsProcessSurrogatedecisiondevelopment,drivenmakingmodeling,
(0)
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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.
a month ago by @scadsfct
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topic_engineering
FIS_scads
chains,
composite
composites,
computed
data,
engineering,
event-driven
experimental-numerical
fiber-reinforced
hybrid
lifecycle/data
management,
model-based
process
product
segmentation,
structures,
synthetic
systems
tomography
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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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1Impacts and damages of the European multi-year drought and heat event 2018–2022 on forests, a review
F. Knutzen, P. Averbeck, C. Barrasso, {. Bouwer, B. Gardiner, {. Grünzweig, S. Hänel, K. Haustein, {. Johannessen, S. Kollet and 10 other author(s). WorkingPaper, (Jul 26, 2023)
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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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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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1Enhancing Learning Paths with AI-Mentoring
S. Hummel, M. Donner, G. Wadhwa, and {. Abbas. (Oct 9, 2023)All Hands Meeting & Symposium 2023, AHM 2023 ; Conference date: 09-10-2023 Through 10-10-2023.
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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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