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2Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning
J. Richards, R. Huser, E. Bevacqua, and J. Zscheischler. Artificial Intelligence for the Earth Systems, (October 2023)
8 hours ago by @scadsfct
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Deep
Extreme
Learning
Mediterranean
Spatiotemporal
Statistical
Trends
Wildfires
DeepExtremeLearningMediterraneanSpatiotemporalStatisticalTrendsWildfires
(0)
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2Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning
J. Richards, R. Huser, E. Bevacqua, and J. Zscheischler. Artificial Intelligence for the Earth Systems, (October 2023)
8 hours ago by @scads.ai
show all tags
Extreme
Mediterranean
Learning
Wildfires
Spatiotemporal
Trends
Statistical
Deep
from:scadsfct
ExtremeMediterraneanLearningWildfiresSpatiotemporalTrendsStatisticalDeepfrom:scadsfct
(0)
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1Machine Learning Based Mobile Capacity Estimation for Roadside Parking
A. Kramm, E. Peukert, A. Ludwig, and B. Franczyk. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (2024)
a day ago by @scadsfct
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Based
Capacity
Estimation
Learning
Machine
Mobile
Parking
Roadside
BasedCapacityEstimationLearningMachineMobileParkingRoadside
(0)
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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)
a day ago by @scadsfct
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autoconversion
forecasting
learning
machine
rates
satellite
autoconversionforecastinglearningmachineratessatellite
(0)
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2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
T. Vargis, and S. Ghiasvand. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, (January 2022)arXiv:2402.05114 cs.
a day ago by @scads.ai
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Parallel,
myOwn
from:ghiasvan
Learning
and
Computer
Cluster
Distributed,
Computing,
Machine
Science
Parallel,myOwnfrom:ghiasvanLearningandComputerClusterDistributed,Computing,MachineScience
(0)
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2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
T. Vargis, and S. Ghiasvand. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, (January 2022)arXiv:2402.05114 cs.
a day ago by @ghiasvan
show all tags
Cluster
Computer
Computing,
Distributed,
Learning
Machine
Parallel,
Science
and
myOwn
ClusterComputerComputing,Distributed,LearningMachineParallel,ScienceandmyOwn
(0)
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1Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading
M. Bauer, and C. Augenstein. page 348–360. Springer Nature Switzerland, (2024)
a day ago by @scads.ai
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Cancer
Histopathology
Learning
Self-supervised
Prostate
Perspectives
from:scadsfct
New
CancerHistopathologyLearningSelf-supervisedProstatePerspectivesfrom:scadsfctNew
(0)
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2Can 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)
a day ago by @scadsfct
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Comparative
Computer
Data
Learning
Self-Supervised
Study
Unlabelled
Vision.
ComparativeComputerDataLearningSelf-SupervisedStudyUnlabelledVision.
(0)
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2Can 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)
a day ago by @scads.ai
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Study
Learning
Computer
Data
Self-Supervised
from:scadsfct
Unlabelled
Comparative
Vision.
StudyLearningComputerDataSelf-Supervisedfrom:scadsfctUnlabelledComparativeVision.
(0)
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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)
a day ago by @scadsfct
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Convex
GAN
Imbalanced
LoRAS
Tabular
data
learning
space
ConvexGANImbalancedLoRASTabulardatalearningspace
(0)
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1Explainable Earth Surface Forecasting under Extreme Events
O. Pellicer-Valero, M. Fernández-Torres, C. Ji, M. Mahecha, and G. Camps-Valls. (2024)
8 days ago by @joum576e
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(cs.LG),
Computer
FOS:
Learning
Machine
and
information
sciences
sciences,
topic_earthenvironment
(cs.LG),ComputerFOS:LearningMachineandinformationsciencessciences,topic_earthenvironment
(0)
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1Stability selection enables robust learning of differential equations from limited noisy data
S. Maddu, {. Cheeseman, {. Sbalzarini, and {. Müller. Proceedings of the Royal Society of London : Series A, Mathematical, physical and engineering sciences, (June 2022)Publisher Copyright: © 2022 Royal Society Publishing. All rights reserved..
13 days ago by @scadsfct
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topic_lifescience
FIS_scads
PAR
differential
equations,
learning
learning,
machine
proteins,
regression,
selection,
sparse
stability
statistical
theory
topic_lifescienceFIS_scadsPARdifferentialequations,learninglearning,machineproteins,regression,selection,sparsestabilitystatisticaltheory
(0)
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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.
13 days ago by @scadsfct
show all tags
topic_federatedlearn
Computer
Embedded
FIS_scads
Machine
Runtime,
Scalability,
Shape
algorithms,
architecture,
computing,
learning
vision,
topic_federatedlearnComputerEmbeddedFIS_scadsMachineRuntime,Scalability,Shapealgorithms,architecture,computing,learningvision,
(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).
13 days ago by @scadsfct
show all tags
topic_engineering
Deep
Dynamic
FIS_scads
Local
Supervised
avoidance,
learning
learning,
obstacle
path
planning,
reinforcement
topic_engineeringDeepDynamicFIS_scadsLocalSupervisedavoidance,learninglearning,obstaclepathplanning,reinforcement
(0)
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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)
13 days ago by @scadsfct
show all tags
area_responsibleai
area_bigdata
(cs.CR),
(cs.CV),
(cs.LG),
Computer
Cryptography
FOS:
Learning
Machine
Pattern
Recognition
Security
Vision
and
ep
information
sciences
area_responsibleaiarea_bigdata(cs.CR),(cs.CV),(cs.LG),ComputerCryptographyFOS:LearningMachinePatternRecognitionSecurityVisionandepinformationsciences
(0)
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1Deep reinforcement learning with artificial microswimmers
R. Pradip, and F. Cichos. Emerging Topics in Artificial Intelligence (ETAI) 2022, 12204, page 104--110. SPIE, (2022)
27 days ago by @scadsfct
show all tags
topic_physchemistry
Deep
artificial
learning
microswimmers
reinforcement
topic_physchemistryDeepartificiallearningmicroswimmersreinforcement
(0)
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1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection
D. Kiakou, A. Adamopoulos, and N. Scherf. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", page 223--230. Springer, (2022)
27 days ago by @scadsfct
show all tags
topic_neuroinspired
Disease
Feature
Graph-Based
Impact
Investigating
Neuroimaging
Prediction
Selection
learning
topic_neuroinspiredDiseaseFeatureGraph-BasedImpactInvestigatingNeuroimagingPredictionSelectionlearning
(0)
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1Steuerung von Compliant-Mechanismen durch Reinforcement Learning
L. Muschalski, J. Wollmann, A. Hornig, and N. Modler. GETRIEBETAGUNG 2022, (2022)
27 days ago by @scadsfct
show all tags
topic_engineering
Compliant-Mechanismen
Learning
Reinforcement
Steuerung
topic_engineeringCompliant-MechanismenLearningReinforcementSteuerung
(0)
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2Self-organized free-flight arrival for urban air mobility
M. Waltz, O. Okhrin, and M. Schultz. Transportation Research Part C: Emerging Technologies, (2024)
29 days ago by @scadsfct
show all tags
topic_engineering
Deep
Urban
air
eVTOL
learning
mobility
reinforcement
topic_engineeringDeepUrbanaireVTOLlearningmobilityreinforcement
(0)
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1Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
F. Hart, and O. Okhrin. Neurocomputing, (2024)
29 days ago by @scadsfct
show all tags
topic_engineering
Collision
Dynamic
Reinforcement
Training
avoidance
environment
learning
metric
obstacle
risk
topic_engineeringCollisionDynamicReinforcementTrainingavoidanceenvironmentlearningmetricobstaclerisk
(0)
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publications (hide)28
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2Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning

2Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning

1Machine Learning Based Mobile Capacity Estimation for Roadside Parking

2Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning

2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement

2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement

1Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading

2Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

2Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

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

1Explainable Earth Surface Forecasting under Extreme Events

1Stability selection enables robust learning of differential equations from limited noisy data

1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures

1Two-step dynamic obstacle avoidance

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

1Deep reinforcement learning with artificial microswimmers

1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

1Steuerung von Compliant-Mechanismen durch Reinforcement Learning

2Self-organized free-flight arrival for urban air mobility

1Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk

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