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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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1WARC-DL: Scalable Web Archive Processing for Deep Learning
N. Deckers, and M. Potthast. (2022)
a month ago by @scadsfct
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Archive
WARC-DL
Web
Learning
Scalable
Xack
Deep
Processing
ArchiveWARC-DLWebLearningScalableXackDeepProcessing
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1Unsupervised feature selection based on variance–covariance subspace distance
S. Karami, F. Saberi-Movahed, P. Tiwari, P. Marttinen, and S. Vahdati. Neural Networks, (2023)
a month ago by @scadsfct
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Regularization
selection
distance
Xack
learning
Subspace
Feature
RegularizationselectiondistanceXacklearningSubspaceFeature
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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).
3 months ago by @scadsfct
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FIS_scads
Dynamic
Local
learning
Deep
Supervised
planning,
path
learning,
avoidance,
reinforcement
topic_engineering
obstacle
FIS_scadsDynamicLocallearningDeepSupervisedplanning,pathlearning,avoidance,reinforcementtopic_engineeringobstacle
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1Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain
S. Hofmann, F. Beyer, S. Lapuschkin, O. Goltermann, M. Loeffler, K. M√ºller, A. Villringer, W. Samek, and A. Witte. NeuroImage, (2022)
5 months ago by @scadsfct
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Cardiovascular
deep
Brain-age,
Structural
learning
Ageing,
a.i.,
mri,
Explainable
topic_lifescience
topic_neuroinspired
risk
factors,
CardiovasculardeepBrain-age,StructurallearningAgeing,a.i.,mri,Explainabletopic_lifesciencetopic_neuroinspiredriskfactors,
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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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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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2Self-supervised learning in histopathology: New perspectives for prostate cancer grading
M. Bauer, and C. Augenstein. Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, (2024)
a month ago by @scadsfct
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grading
cancer
topic_lifescience
learning
histopathology
prostate
self-supervised
Yaff
gradingcancertopic_lifesciencelearninghistopathologyprostateself-supervisedYaff
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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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1Sampling Bias Due to Near-Duplicates in Learning to Rank
M. Fröbe, J. Bevendorff, J. Reimer, M. Potthast, and M. Hagen. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, page 1997–2000. New York, NY, USA, Association for Computing Machinery, (2020)
5 months ago by @scadsfct
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principle,
near-duplicate-detection,
selection
novelty
bias
learning
to
rank,
principle,near-duplicate-detection,selectionnoveltybiaslearningtorank,
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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.
3 months ago by @scadsfct
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FIS_scads
Shape
learning
Machine
computing,
topic_federatedlearn
Runtime,
vision,
algorithms,
architecture,
Embedded
Computer
Scalability,
FIS_scadsShapelearningMachinecomputing,topic_federatedlearnRuntime,vision,algorithms,architecture,EmbeddedComputerScalability,
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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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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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1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease
V. Friedrich, P. Pennitz, E. Wyler, J. Adler, D. Postmus, K. Müller, L. Teixeira Alves, J. Prigann, F. Pott, D. Vladimirova and 10 other author(s). eBioMedicine, (2024)
3 months ago by @scadsfct
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Disease
Cross-species
model,
learning
Deep
matching,
Single-cell
RNA-seq,
topic_mathfoundation
COVID-19,
analysis,
state
Hamster
DiseaseCross-speciesmodel,learningDeepmatching,Single-cellRNA-seq,topic_mathfoundationCOVID-19,analysis,stateHamster
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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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1MLcps: machine learning cumulative performance score for classification problems
A. Akshay, M. Abedi, N. Shekarchizadeh, F. Burkhard, M. Katoch, A. Bigger-Allen, R. Adam, K. Monastyrskaya, and A. Gheinani. GigaScience, (December 2023)
a month ago by @scadsfct
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MLcps
machine
Xack
learning
performance
cumulative
Yaff
MLcpsmachineXacklearningperformancecumulativeYaff
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1Manifold learning, the scheme of Laplacian eigenmaps
P. Joharinad, and J. Jost. Mathematics of Data, Springer International Publishing, Cham, (2023)
a month ago by @scadsfct
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eigenmaps
learning
Manifold
Laplacian
eigenmapslearningManifoldLaplacian
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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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1Linear Distance Metric Learning with Noisy Labels
M. Alishahi, A. Little, and J. Phillips. Journal of Machine Learning Research, 25 (121): 1--53 (2024)
2 months ago by @scadsfct
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imported
Learning
Metric
Noisy_Labels
Yaff
Distance
Linear
importedLearningMetricNoisy_LabelsYaffDistanceLinear
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publications (hide)41
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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"

1WARC-DL: Scalable Web Archive Processing for Deep Learning

1Unsupervised feature selection based on variance–covariance subspace distance

1Two-step dynamic obstacle avoidance

1Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain

1Steuerung von Compliant-Mechanismen durch Reinforcement Learning

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

2Self-supervised learning in histopathology: New perspectives for prostate cancer grading

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

1Sampling Bias Due to Near-Duplicates in Learning to Rank

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

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

1On optimizing morphological neural networks for hyperspectral image classification

1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

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

1MLcps: machine learning cumulative performance score for classification problems

1Manifold learning, the scheme of Laplacian eigenmaps

1Machine Learning Based Mobile Capacity Estimation for Roadside Parking

1Linear Distance Metric Learning with Noisy Labels

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