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1Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows
A. Willmann, J. Cabadağ, Y. Chang, R. Pausch, A. Ghaith, A. Debus, A. Irman, M. Bussmann, U. Schramm, and N. Hoffmann. (2023)
a month ago by @scadsfct
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Distribution
imported
Learning
Electron
Bunch
Zno
DistributionimportedLearningElectronBunchZno
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1Self-organized free-flight arrival for urban air mobility
M. Waltz, O. Okhrin, and M. Schultz. Transportation Research Part C: Emerging Technologies, (2024)
3 months ago by @scadsfct
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Urban
mobility
eVTOL
air
learning
reinforcement
Deep
topic_engineering
UrbanmobilityeVTOLairlearningreinforcementDeeptopic_engineering
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1Named Entity Recognition for Specific Domains - Take Advantage of Transfer Learning
S. Torge, W. Hahn, L. Manjunath, and R. Jäkel. International Journal of Information Science and Technology, (2022)
a month ago by @scadsfct
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Entity
Domains
Learning
Advantage
Specific
Transfer
Xack
Recognition
EntityDomainsLearningAdvantageSpecificTransferXackRecognition
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1Continual learning autoencoder training for a particle-in-cell simulation via streaming
P. Stiller, V. Makdani, F. Pöschel, R. Pausch, A. Debus, M. Bussmann, and N. Hoffmann. (2022)
a month ago by @scadsfct
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imported
autoencoder
particle-in-cell
simulation
learning
training
Zno
Continual
importedautoencoderparticle-in-cellsimulationlearningtrainingZnoContinual
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1Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach
M. Steinacker, Y. Kheifetz, and M. Scholz. Heliyon, 9 (7): e17890 (July 2023)
5 months ago by @scadsfct
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neural
networks;
identification;
Recurrent
learning
Haematopoiesis;
unit_transfer
System
Precision
topic_mathfoundation
topic_neuroinspired
Transfer
medicine;
neuralnetworks;identification;RecurrentlearningHaematopoiesis;unit_transferSystemPrecisiontopic_mathfoundationtopic_neuroinspiredTransfermedicine;
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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)
2 months ago by @scadsfct
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Tabular
Convex
LoRAS
GAN
Imbalanced
data
learning
space
TabularConvexLoRASGANImbalanceddatalearningspace
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1Wie bereit sind Studierende für die Nutzung von KI-Technologien? Eine Annäherung an die KI-Readiness Studierender im Kontext des Projektes "tech4comp"
J. Riedel, and J. Kleppsch. (2021)
5 months ago by @scadsfct
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Human
Bewertung,
Empirical
Mediennutzung,
Lernprozess,
Untersuchung,
Use
Activities),
und
Qualitative
Hochschullehre,
institute,
intelligence,
being,
Project,
student,
Vergleich,
Bildungswesen,
Projekt,
process,
Judgment,
Medien,
research
Erziehung,
Mensch,
Judgement,
Utilisation
Student,
Forschung,
Nachteil,
Hochschule,
Empirische
Technologie,
Vorteil,
Education,
Utilization
Assessment,
Intelligenz,
University
media,
Higher
Schul-
Artificial
Medieneinsatz,
(Learning
Deployment
Male
Projects
370
education
K\"{u}nstliche
Technology,
teaching,
lecturing,
Learning
Digitale
study,
of
HumanBewertung,EmpiricalMediennutzung,Lernprozess,Untersuchung,UseActivities),undQualitativeHochschullehre,institute,intelligence,being,Project,student,Vergleich,Bildungswesen,Projekt,process,Judgment,Medien,researchErziehung,Mensch,Judgement,UtilisationStudent,Forschung,Nachteil,Hochschule,EmpirischeTechnologie,Vorteil,Education,UtilizationAssessment,Intelligenz,Universitymedia,HigherSchul-ArtificialMedieneinsatz,(LearningDeploymentMaleProjects370educationK\"{u}nstlicheTechnology,teaching,lecturing,LearningDigitalestudy,of
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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)
2 months ago by @scadsfct
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Mediterranean
Extreme
Learning
Wildfires
Spatiotemporal
Trends
Statistical
Deep
MediterraneanExtremeLearningWildfiresSpatiotemporalTrendsStatisticalDeep
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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)
3 months ago by @scadsfct
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microswimmers
artificial
learning
topic_physchemistry
reinforcement
Deep
microswimmersartificiallearningtopic_physchemistryreinforcementDeep
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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)
2 months ago by @scadsfct
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rates
forecasting
machine
autoconversion
learning
satellite
ratesforecastingmachineautoconversionlearningsatellite
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1Steuerung von Compliant-Mechanismen durch Reinforcement Learning
L. Muschalski, J. Wollmann, A. Hornig, and N. Modler. GETRIEBETAGUNG 2022, (2022)
3 months ago by @scadsfct
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Learning
Compliant-Mechanismen
Steuerung
Reinforcement
topic_engineering
LearningCompliant-MechanismenSteuerungReinforcementtopic_engineering
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2PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning
L. Monteiro, J. Saraiva, R. Toscan, P. Stadler, R. Silva-Rocha, and U. Nunes da Rocha. Environmental Microbiome, (December 2022)
5 months ago by @scadsfct
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microbialdeep
bacterial
PredicTF:
transcription
complex
prediction
learning
microbialdeepbacterialPredicTF:transcriptioncomplexpredictionlearning
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1GradTree: Learning axis-aligned decision trees with gradient descent
S. Marton, S. Lüdtke, C. Bartelt, and H. Stuckenschmidt. (2023)
a month ago by @scadsfct
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descent
axis-aligned
Learning
GradTree
decision
gradient
Zno
trees
descentaxis-alignedLearningGradTreedecisiongradientZnotrees
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1Stability selection enables robust learning of partial differential equations from limited noisy data
S. Maddu, B. Cheeseman, I. Sbalzarini, and C. Müller. (2019)
4 months ago by @scadsfct
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(physics.data-an),
Analysis,
Probability
Data
sciences,
Numerical
Statistics
FOS:
Machine
Physical
sciences
Analysis
(cs.LG),
Learning
(math.NA),
Mathematics,
and
Computer
information
(physics.data-an),Analysis,ProbabilityDatasciences,NumericalStatisticsFOS:MachinePhysicalsciencesAnalysis(cs.LG),Learning(math.NA),Mathematics,andComputerinformation
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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..
3 months ago by @scadsfct
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FIS_scads
PAR
statistical
proteins,
equations,
learning
selection,
sparse
differential
regression,
learning,
machine
topic_lifescience
stability
theory
FIS_scadsPARstatisticalproteins,equations,learningselection,sparsedifferentialregression,learning,machinetopic_lifesciencestabilitytheory
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1A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving
D. Li, and O. Okhrin. Commun Eng, 3 (1): 147 (October 2024)
a month ago by @scadsfct
show all tags
driving
framework
platform-agnostic
autonomous
deep
Xack
learning
reinforcement
Sim2Real
drivingframeworkplatform-agnosticautonomousdeepXacklearningreinforcementSim2Real
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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)
3 months ago by @scadsfct
show all tags
ep
FOS:
Machine
sciences
(cs.LG),
Security
Learning
(cs.CV),
and
Vision
Computer
(cs.CR),
Cryptography
information
Pattern
area_bigdata
area_responsibleai
Recognition
epFOS:Machinesciences(cs.LG),SecurityLearning(cs.CV),andVisionComputer(cs.CR),CryptographyinformationPatternarea_bigdataarea_responsibleaiRecognition
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1On optimizing morphological neural networks for hyperspectral image classification
M. Kukushkin, M. Bogdan, and T. Schmid. Sixteenth International Conference on Machine Vision (ICMV 2023), 13072, page 1307202. International Society for Optics and Photonics, SPIE, (2024)
a month ago by @scadsfct
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image
sensing
morphological
morphology
deep
neuronal
learning
networks
classification
remote
mathematical
computer
hyperspectral
vision
imagesensingmorphologicalmorphologydeepneuronallearningnetworksclassificationremotemathematicalcomputerhyperspectralvision
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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)
2 months ago by @scadsfct
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Learning
Capacity
Parking
Estimation
Roadside
Based
Mobile
Machine
LearningCapacityParkingEstimationRoadsideBasedMobileMachine
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1Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective
R. Knauer, and E. Rodner. KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26--29, 2023, Proceedings, page 114--129. Berlin, Heidelberg, Springer-Verlag, (2023)
a month ago by @scadsfct
show all tags
mixed-integer
selection
optimization
meta-learning
machine
learning
Zno
conic
interpretable
cost-sensitive
best
subset
mixed-integerselectionoptimizationmeta-learningmachinelearningZnoconicinterpretablecost-sensitivebestsubset
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publications (hide)41
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1Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows

1Self-organized free-flight arrival for urban air mobility

1Named Entity Recognition for Specific Domains - Take Advantage of Transfer Learning

1Continual learning autoencoder training for a particle-in-cell simulation via streaming

1Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach

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

1Wie bereit sind Studierende für die Nutzung von KI-Technologien? Eine Annäherung an die KI-Readiness Studierender im Kontext des Projektes "tech4comp"

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

1Deep reinforcement learning with artificial microswimmers

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

1Steuerung von Compliant-Mechanismen durch Reinforcement Learning

2PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning

1GradTree: Learning axis-aligned decision trees with gradient descent

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

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

1A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving

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

1On optimizing morphological neural networks for hyperspectral image classification

1Machine Learning Based Mobile Capacity Estimation for Roadside Parking

1Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

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