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1scikit learn - logistic regression python solvers' defintions - Stack Overflow
https://stackoverflow.com/questions/38640109/logistic-regression-python-solvers-defintions
4 years ago by @becker
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science
solvers
linear
python
data
regression
machine
learning
logistic
solver
sklearn
sciencesolverslinearpythondataregressionmachinelearninglogisticsolversklearn
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1machine learning - Getting a low ROC AUC score but a high accuracy - Stack Overflow
https://stackoverflow.com/questions/47104129/getting-a-low-roc-auc-score-but-a-high-accuracy/47111246#47111246
4 years ago by @becker
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acc
comparison
roc
precision
data
accuracy
learning
metric
auc
science
mining
recall
evaluation
machine
metrics
ml
acccomparisonrocprecisiondataaccuracylearningmetricaucscienceminingrecallevaluationmachinemetricsml
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1https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
4 years ago by @becker
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bayesian
autoencoder
auto
deep
neural
bayes
vae
learning
encoder
aligned
network
bayesianautoencoderautodeepneuralbayesvaelearningencoderalignednetwork
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1Disentanglement with Variational Autoencoder: A Review
https://towardsdatascience.com/disentanglement-with-variational-autoencoder-a-review-653a891b69bd
4 years ago by @becker
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variational
beta
autoencoder
auto
survery
disentangle
towardsdatascience.com
vae
review
disentanglement
encoder
variationalbetaautoencoderautosurverydisentangletowardsdatascience.comvaereviewdisentanglementencoder
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1Roaring Bitmaps
https://roaringbitmap.org/
4 years ago by @becker
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java
fast
efficient
python
bitmap
bitset
bit
programming
javafastefficientpythonbitmapbitsetbitprogramming
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1tripptrapp tinydo sitzkissen
https://www.amazon.de/gp/product/B078WGGXSL/ref=crt_ewc_img_huc_1?ie=UTF8&psc=1&smid=A21FS9JUIYCTZK
4 years ago by @thoni
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sitzkissen
tinydo
tripptrapp
sitzkissentinydotripptrapp
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1Stokke tripptrapp treppenhochstuhl
https://www.baby-walz.de/p/stokke-tripp-trapp-treppenhochstuhl-p1024666?prudsysClick=true&template=Produktseite|6|C|Shop_PDS|P2PCat|P2PCat&variantId=P1024666_48649227
4 years ago by @thoni
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treppenhochstuhl
tripptrapp
Stokke
treppenhochstuhltripptrappStokke
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1stokke tripptrapp hochstuhltisch
https://www.baby-walz.de/p/stokke-tripp-trapp-tray-hochstuhltisch-p1368300/?variantId=P1368300_172290578
4 years ago by @thoni
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hochstuhltisch
stokke
tripptrapp
hochstuhltischstokketripptrapp
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1stokke tripptrapp babyeinsatz
https://www.baby-walz.de/p/stokke-tripp-trapp-babyeinsatz-p1256346/?variantId=P1256346_100579736
4 years ago by @thoni
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babyeinsatz
stokke
tripptrapp
babyeinsatzstokketripptrapp
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1python - How to put the legend out of the plot - Stack Overflow
https://stackoverflow.com/questions/4700614/how-to-put-the-legend-out-of-the-plot
4 years ago by @becker
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matplotlib
plot
python
plt
plotly
loc
matplotlibplotpythonpltplotlyloc
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1Apache Kafka and MQTT: End-to-End IoT Integration - DZone IoT
https://dzone.com/articles/apache-kafka-mqtt-end-to-end-iot-integration-githu
4 years ago by @becker
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mqtt
kafka
iot
mqttkafkaiot
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1Why does the RBF (radial basis function) kernel map into infinite dimensional space, mentioned many times in machine learning lectures? - Quora
https://www.quora.com/Why-does-the-RBF-radial-basis-function-kernel-map-into-infinite-dimensional-space-mentioned-many-times-in-machine-learning-lectures
4 years ago by @becker
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infinite
rbf
kernel
svm
gaussian
infiniterbfkernelsvmgaussian
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1Alu-Deos sind laut neuen Studien sicher - MedWatch - der Recherche verschrieben
https://medwatch.de/2019/12/12/alu-deos-sind-laut-neuen-studien-sicher/
4 years ago by @becker
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alu
aluminium
deo
alualuminiumdeo
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1PC FAQ – Ecai 2020
http://ecai2020.eu/pc-faq/
4 years ago by @becker
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cirteria
guidelines
review
ecai
helpful
cirteriaguidelinesreviewecaihelpful
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1Distance correlation - Wikipedia
https://en.wikipedia.org/wiki/Distance_correlation
5 years ago by @becker
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nalab
distance
correlation
classifier
nalabdistancecorrelationclassifier
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1Categorical plots silently drop data if `x` is of type pandas.Series (and an index is present) · Issue #1867 · mwaskom/seaborn
https://github.com/mwaskom/seaborn/issues/1867
5 years ago by @becker
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pandas
drop
bug
python
boxplot
data
index
searborn
categorical
points
samples
pandasdropbugpythonboxplotdataindexsearborncategoricalpointssamples
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1Multi-Omics Data Sharing
https://www.nature.com/collections/hbchcddagg/
5 years ago by @becker
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overview
dataset
omics
sets
data
multiomics
multi-omics
datasets
sharing
multi
repository
overviewdatasetomicssetsdatamultiomicsmulti-omicsdatasetssharingmultirepository
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1How to use Pearson correlation correctly with time series - Cross Validated
https://stats.stackexchange.com/questions/133155/how-to-use-pearson-correlation-correctly-with-time-series
5 years ago by @becker
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spurious
timeseries
pearson
correlation
series
time
spurioustimeseriespearsoncorrelationseriestime
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1Broken Barh — Matplotlib 3.1.1 documentation
https://matplotlib.org/gallery/lines_bars_and_markers/broken_barh.html
5 years ago by @thoni
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plot
python
timeline
plotpythontimeline
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1Creating a timeline with lines, dates, and text — Matplotlib 3.1.1 documentation
https://matplotlib.org/3.1.1/gallery/lines_bars_and_markers/timeline.html
5 years ago by @thoni
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plot
python
timeline
plotpythontimeline
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publications (hide)2299
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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)
15 hours 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)
a month 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)
2 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)
3 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)
3 months ago by @becker
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neural
background
gnn
machine
learning
knowledge
networks
graph
bki
ml
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)
3 months ago by @becker
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mother
myown
environment
circumference
multiomics
milk
multimodal
head
mothermyownenvironmentcircumferencemultiomicsmilkmultimodalhead
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4CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
4 months ago by @becker
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hyptrails
myown
graphs
comparing
hypothesis
networks
hypotheses
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)
4 months ago by @becker
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m:id:ai4simulation:node
m:
m:id:ai4simulation:nodem:
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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)
6 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)
7 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)
7 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)
7 months ago by @becker
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presynapses
myown
species
cross
single
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)
7 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)
9 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)
11 months 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)
11 months 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)
12 months 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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