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https://www.bibsonomy.org/user/becker/m:id:ai4simulation:node+m:id:ai4simulation:node:1712943903009
a month ago by @becker
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https://www.bibsonomy.org/user/becker/m:id:ai4simulation:node+m:id:ai4simulation:node:1704130040467
5 months ago by @becker
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1Comment
Test
5 months ago by @becker
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https://www.bibsonomy.org/user/becker/m:id:ai4simulation:node+m:id:ai4simulation:node:1704130021929
5 months ago by @becker
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1Map: Project - BMBF: AI 3 Simulation
https://www.bibsonomy.org/user/becker/m:id:ai4simulation:node
5 months ago by @becker
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1Ubuntu disable MCP (middle click paste) on Lenovo TrackPoint middle button
This works for me, however, instead of looking for the device `TPPS/2 Elan Trackpoint`, I had to use the id of `TrackPoint Keyboard 2`. The downside of this fix is that pasting with the middle button does not work anymore.
6 months ago by @becker
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1Lenovo Thinkpad Trackpoint Keyboard II - middle click on release after scrolling - Support - Manjaro Linux Forum
https://forum.manjaro.org/t/lenovo-thinkpad-trackpoint-keyboard-ii-middle-click-on-release-after-scrolling/152681
6 months ago by @becker
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1Bayesian linear regression for practitioners • Max Halford
https://maxhalford.github.io/blog/bayesian-linear-regression/
7 months ago by @becker
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1Bug - Corruption in Scene view when using URP in OpenGL on Linux (2022.2.3f1, 2022.2.5f1, 2022.2.6f1) - Unity Forum
https://forum.unity.com/threads/corruption-in-scene-view-when-using-urp-in-opengl-on-linux-2022-2-3f1-2022-2-5f1-2022-2-6f1.1399105/
11 months ago by @becker
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1Comment2
https://www.bibsonomy.org/user/becker/m:id:immermind:node+m:id:immermind:node:1683722888806
a year ago by @becker
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1Moored – Collaborative team meetings
https://moored.co/
a year ago by @becker
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board
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1Why choose UnityEvent over native C# events? - Stack Overflow
https://stackoverflow.com/questions/44734580/why-choose-unityevent-over-native-c-sharp-events
a year ago by @becker
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csharp
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unitycsharpunityeventnativec#eventevents
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1CLIP: Connecting text and images
https://openai.com/research/clip
a year ago by @becker
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clip
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text
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1Action Camera｜360° Camera - App Download
https://www.insta360.com/de/download/insta360-x3?r_from=%2Fx3%2Fen-us%2Fcamera%2Ffirmwareupdate
a year ago by @becker
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1What's new in X3 firmware v1.0.24? : Insta360
https://www.reddit.com/r/Insta360/comments/zupd8l/whats_new_in_x3_firmware_v1024/
a year ago by @becker
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1GitHub - LGUG2Z/komorebi: A tiling window manager for Windows
https://github.com/LGUG2Z/komorebi
a year ago by @becker
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1AlizaMedicalImaging/AlizaMS: DICOM Viewer
https://github.com/AlizaMedicalImaging/AlizaMS
a year ago by @becker
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dtsclub
viewerdicomdtsclub
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1Tutorial 9: Deep Autoencoders — UvA DL Notebooks v1.2 documentation
https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial9/AE_CIFAR10.html
a year ago by @becker
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autoencoder
python
neural
tutorial
pytorch
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nn
autoencoderpythonneuraltutorialpytorchdtsclubnetworknn
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1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network
https://github.com/Chen-Cai-OSU/awesome-equivariant-network
a year ago by @becker
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deep
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mmis
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equivariantdeepneuralgeometriclearningmmiskirstenetworknetworksgroupnn
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1Gopher and RETRO Prove Lean Language Models Can Push Boundaries
https://www.deeplearning.ai/the-batch/large-language-models-shrink/?utm_campaign=The%20Batch&utm_medium=email&_hsmi=240401361&_hsenc=p2ANqtz-8xSUusSBIkSJlMHiucL2H3K9ukcSqlS-6aE-4TxPD5Bh1ElshDiBx1Vs-ROguVWC1JTS-wlfpgjJtgeuN18dgvmvEbtA&utm_content=240401361&utm_source=hs_email
a year ago by @becker
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shrink
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themis
shrinklargelanguagedataskrinkinglessmodelthemis
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publications (hide)1635
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1Multiple physics pretraining for physical surrogate models
M. McCabe, B. Blancard, L. Parker, R. Ohana, M. Cranmer, A. Bietti, M. Eickenberg, S. Golkar, G. Krawezik, F. Lanusse and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)
a month ago by @becker
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citedby:scholar:count:10
surrogate
citedby:scholar:timestamp:2024-4-26
physics
simulation
model
informed
citedby:scholar:count:10surrogatecitedby:scholar:timestamp:2024-4-26physicssimulationmodelinformed
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1Computational Approaches for Connecting Maternal Stress to Preterm Birth
A. Mirzaei, B. Hiller, I. Stelzer, K. Thiele, Y. Tan, and M. Becker. Clinics in Perinatology, (2024)
2 months ago by @becker
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myown
stress
pregnancy
machine
learning
computational
myownstresspregnancymachinelearningcomputational
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3The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
T. Saito, and M. Rehmsmeier. PloS one, 10 (3): e0118432 (2015)
3 months ago by @becker
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class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curve
citedby:scholar:count:3373
citedby:scholar:timestamp:2024-2-20
class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curvecitedby:scholar:count:3373citedby:scholar:timestamp:2024-2-20
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
4 months ago by @becker
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ien
linear
background
machine
regression
learning
knowledge
bki
ml
informed
integration
ienlinearbackgroundmachineregressionlearningknowledgebkimlinformedintegration
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, and T. Beissbarth. Studies in health technology and informatics, (September 2019)
4 months ago by @becker
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neural
background
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learning
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informed
integration
neuralbackgroundgnnmachinelearningknowledgenetworksgraphbkimlinformedintegration
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1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment
M. Becker, K. Fehr, S. Goguen, K. Miliku, C. Field, B. Robertson, C. Yonemitsu, L. Bode, E. Simons, J. Marshall and 8 other author(s). Scientific Reports, 14 (1): 2977 (Feb 5, 2024)
4 months ago by @becker
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mother
myown
environment
circumference
multiomics
milk
multimodal
head
mothermyownenvironmentcircumferencemultiomicsmilkmultimodalhead
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5CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
5 months ago by @becker
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hyptrails
myown
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hyptrailsmyowngraphscomparinghypothesisnetworkshypotheses
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1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations
D. Degen, D. Caviedes Voullième, S. Buiter, H. Hendricks Franssen, H. Vereecken, A. González-Nicolás, and F. Wellmann. Geoscientific Model Development, 16 (24): 7375--7409 (2023)
5 months ago by @becker
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1Time series extrinsic regression: Predicting numeric values from time series data
C. Tan, C. Bergmeir, F. Petitjean, and G. Webb. Data Mining and Knowledge Discovery, (2021)
7 months ago by @becker
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citedby:scholar:timestamp:2023-11-4
citedby:scholar:count:65
extrinsic
series
regression
time
citedby:scholar:timestamp:2023-11-4citedby:scholar:count:65extrinsicseriesregressiontime
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1Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity
N. Ravindra, C. Espinosa, E. Berson, T. Phongpreecha, P. Zhao, M. Becker, A. Chang, S. Shome, I. Marić, D. De Francesco and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)
8 months ago by @becker
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sleep
myown
prematurity
deep
activity
accelerometer
pregnancy
learning
representation
sleepmyownprematuritydeepactivityaccelerometerpregnancylearningrepresentation
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1Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection
C. Urbschat, K. Thiele, I. Stelzer, T. Zhang, Y. Zhao, T. Kehribar, M. Pagenkemper, G. Hansen, B. Gaudillière, A. Diemert and 1 other author(s). Journal of Reproductive Immunology, (2023)
8 months ago by @becker
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myown
covid
pregnancy
abstract
vaccination
single
cell
myowncovidpregnancyabstractvaccinationsinglecell
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1Cross-species comparative analysis of single presynapses
E. Berson, C. Gajera, T. Phongpreecha, A. Perna, S. Bukhari, M. Becker, A. Chang, D. De Francesco, C. Espinosa, N. Ravindra and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)
8 months ago by @becker
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presynapses
myown
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cell
cytof
presynapsesmyownspeciescrosssinglecellcytof
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1Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
E. Berson, A. Sreenivas, T. Phongpreecha, A. Perna, F. Grandi, L. Xue, N. Ravindra, N. Payrovnaziri, S. Mataraso, Y. Kim and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)
8 months ago by @becker
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deconvolution
genome
alzheimer
myown
epigenetics
machine
learning
deconvolutiongenomealzheimermyownepigeneticsmachinelearning
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1Prediction of multiple neuropathologic changes from features available during life
T. Phongpreecha, D. De Francesco, A. Chang, M. Thuraiappah, M. Becker, N. Ravindra, E. Berson, C. Espinosa, S. Mataraso, D. Godrich and 1 other author(s). Alzheimer's & Dementia, (2023)
10 months ago by @becker
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myown
myown
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1Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
L. Oakden-Rayner, J. Dunnmon, G. Carneiro, and C. Ré. Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)
a year ago by @becker
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subgroup
mining
failure
stratification
hidden
machine
pattern
learning
citedby:scholar:count:243
citedby:scholar:timestamp:2023-5-31
subgroupminingfailurestratificationhiddenmachinepatternlearningcitedby:scholar:count:243citedby:scholar:timestamp:2023-5-31
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1Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries
C. Espinosa, W. Khan, R. Khanam, S. Das, J. Khalid, J. Pervin, M. Kasaro, K. Contrepois, A. Chang, T. Phongpreecha and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)
a year ago by @becker
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income
myown
country
middle
low
pregnancy
birth
lmic
multiomics
maternal
preterm
ehr
incomemyowncountrymiddlelowpregnancybirthlmicmultiomicsmaternalpretermehr
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1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4
S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky and 1 other author(s). The American Journal of Clinical Nutrition, (2023)
a year ago by @becker
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myown
citedby:scholar:timestamp:2023-5-14
citedby:scholar:count:4
milk
human
nutrition
infant
myowncitedby:scholar:timestamp:2023-5-14citedby:scholar:count:4milkhumannutritioninfant
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2Machine learning techniques for accountability
B. Kim, and F. Doshi-Velez. AI Magazine, 42 (1): 47--52 (2021)
a year ago by @becker
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artificial
responsible
machine
ai
citedby:scholar:count:15
learning
intelligence
ml
citedby:scholar:timestamp:2023-4-10
accountability
artificialresponsiblemachineaicitedby:scholar:count:15learningintelligencemlcitedby:scholar:timestamp:2023-4-10accountability
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1Explainability in graph neural networks: A taxonomic survey
H. Yuan, H. Yu, S. Gui, and S. Ji. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2022)
a year ago by @becker
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artificial
neural
citedby:scholar:timestamp:2023-4-9
gnn
ai
explainable
citedby:scholar:count:203
networks
graph
xai
intelligence
artificialneuralcitedby:scholar:timestamp:2023-4-9gnnaiexplainablecitedby:scholar:count:203networksgraphxaiintelligence
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1Data-driven longitudinal characterization of neonatal health and morbidity
D. Francesco, J. Reiss, J. Roger, A. Tang, A. Chang, M. Becker, T. Phongpreecha, C. Espinosa, S. Morin, E. Berson and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)
a year ago by @becker
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myown
project:2023-tracking
data
health
neonatal
paper:fastcor
longitudinal
myownproject:2023-trackingdatahealthneonatalpaper:fastcorlongitudinal
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