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2BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
A. Avila Santos, B. de Almeida, R. Bonidia, P. Stadler, P. Stefanic, I. Mandic-Mulec, U. Rocha, D. Sanches, and A. de Carvalho. RNA Biology, 21 (1): 410–421 (March 2024)
a day ago by @scads.ai
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RNA
deep
non-coding
feature
learning
from:scadsfct
extraction
BioDeepfuse
classification
RNAdeepnon-codingfeaturelearningfrom:scadsfctextractionBioDeepfuseclassification
(0)
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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)
2 days ago by @scads.ai
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microbialdeep
bacterial
PredicTF:
transcription
complex
learning
prediction
from:scadsfct
microbialdeepbacterialPredicTF:transcriptioncomplexlearningpredictionfrom:scadsfct
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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)
9 days ago by @scads.ai
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Extreme
Mediterranean
Learning
Wildfires
Spatiotemporal
Trends
Statistical
Deep
from:scadsfct
ExtremeMediterraneanLearningWildfiresSpatiotemporalTrendsStatisticalDeepfrom:scadsfct
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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.
10 days 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
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1Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading
M. Bauer, und C. Augenstein. Seite 348–360. Springer Nature Switzerland, (2024)
vor 10 Tagen von @scads.ai
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Cancer
Histopathology
Learning
Self-supervised
Prostate
Perspectives
from:scadsfct
New
CancerHistopathologyLearningSelf-supervisedProstatePerspectivesfrom:scadsfctNew
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2Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.
M. Bauer, und C. Augenstein. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, Volume 35 von FedCSIS 2023, Seite 93–101. IEEE, (September 2023)
vor 10 Tagen von @scads.ai
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Study
Learning
Computer
Data
Self-Supervised
from:scadsfct
Unlabelled
Comparative
Vision.
StudyLearningComputerDataSelf-Supervisedfrom:scadsfctUnlabelledComparativeVision.
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2BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification

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

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

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.

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