becker > machine | BibSonomy

bookmarks (hide)45
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1NeurIPS 2022 Gaze Meets ML Workshop
https://groups.google.com/g/ml-news/c/F0JgTZQL-Ns/m/H95PMQyTAgAJ?pli=1
2 years ago by @becker
show all tags
gaze
visual
focus
immermind
eye
tracking
ai
machine
learning
gazevisualfocusimmermindeyetrackingaimachinelearning
(0)
copydelete
- community post
- history of this post
1Healthcare Algorithms Don’t Always Need to Be Generalizable
A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.
2 years ago by @becker
show all tags
ai
generalization
generalize
health
hospital
learning
machine
model
aigeneralizationgeneralizehealthhospitallearningmachinemodel
(0)
copydelete
- community post
- history of this post
1GitHub - grok-ai/nn-template: Generic template to bootstrap your PyTorch project.
https://github.com/grok-ai/nn-template
2 years ago by @becker
show all tags
code
config
configuration
cookie
cutter
learning
machine
network
neural
programming
codeconfigconfigurationcookiecutterlearningmachinenetworkneuralprogramming
(0)
copydelete
- community post
- history of this post
1How to be a machine learning biologist
https://twitter.com/natstann/status/1516428383432941571?t=RGNmFPvykzWjdvYCkoN2oA&s=19
2 years ago by @becker
show all tags
biologist
biology
learning
machine
video
youtube
biologistbiologylearningmachinevideoyoutube
(0)
copydelete
- community post
- history of this post
1Predicting algorithms - machine learning for index structures
https://www.quantamagazine.org/machine-learning-reimagines-the-building-blocks-of-computing-20220315/
2 years ago by @becker
show all tags
discovery
index
learning
machine
ml
structure
subgroup
discoveryindexlearningmachinemlstructuresubgroup
(0)
copydelete
- community post
- history of this post
1microsoft/responsible-ai-toolbox: This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
https://github.com/microsoft/responsible-ai-toolbox
2 years ago by @becker
show all tags
responsible
ai
dashboard
toolbox
fairness
machine
learning
responsibleaidashboardtoolboxfairnessmachinelearning
(0)
copydelete
- community post
- history of this post
1Deterministic python
https://twitter.com/kastnerkyle/status/1473361479143460872?t=-q6YbOcOZ2AXJ_EgW0vkJg&s=19
2 years ago by @becker
show all tags
cuda
deterministic
learning
machine
ml
numpy
python
random
seed
torch
cudadeterministiclearningmachinemlnumpypythonrandomseedtorch
(0)
copydelete
- community post
- history of this post
1‪Sara Hajian‬ - ‪Google Scholar‬
https://scholar.google.de/citations?hl=en&user=rXY4178AAAAJ&view_op=list_works&sortby=pubdate
3 years ago by @becker
show all tags
fairness
subgroups
subgroup
machine
learning
fairnesssubgroupssubgroupmachinelearning
(0)
copydelete
- community post
- history of this post
1LOGML - Marinka Zitnik: Graph Representation Learning for Biomedical Discovery - YouTube
https://www.youtube.com/watch?v=hOfcOak-moU&t=1s
3 years ago by @becker
show all tags
data
dataset
graph
representation
learning
biomedical
medical
discovery
subgraph
graphs
machine
network
networks
datadatasetgraphrepresentationlearningbiomedicalmedicaldiscoverysubgraphgraphsmachinenetworknetworks
(0)
copydelete
- community post
- history of this post
2CORNELL CS4780 "Machine Learning for Intelligent Systems" - YouTube
https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
3 years ago by @becker
show all tags
boosting
lecture
machine
learning
data
mining
science
course
weinberger
kilian
boostinglecturemachinelearningdataminingsciencecourseweinbergerkilian
(0)
copydelete
- community post
- history of this post
119: Boosting
https://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote19.html
3 years ago by @becker
show all tags
boosting
lecture
machine
learning
data
mining
science
course
weinberger
kilian
boostinglecturemachinelearningdataminingsciencecourseweinbergerkilian
(0)
copydelete
- community post
- history of this post
4How to pick more beautiful colors for your data visualizations | Chartable
https://blog.datawrapper.de/beautifulcolors/
4 years ago by @becker
show all tags
color
choose
chose
graphics
colors
beautiful
data
science
machine
learning
paper
papers
visualization
visualize
pick
picking
picker
colorchoosechosegraphicscolorsbeautifuldatasciencemachinelearningpaperpapersvisualizationvisualizepickpickingpicker
(0)
copydelete
- community post
- history of this post
3Transfer learning from pre-trained models | by Pedro Marcelino | Towards Data Science
https://towardsdatascience.com/transfer-learning-from-pre-trained-models-f2393f124751
4 years ago by @becker
show all tags
transfer
learning
when
to
use
ml
neural
network
nn
machine
dataset
size
transferlearningwhentousemlneuralnetworknnmachinedatasetsize
(0)
copydelete
- community post
- history of this post
1GFLASSO: Graph-Guided Fused LASSO in R - DataCamp
https://www.datacamp.com/community/tutorials/gflasso-R
4 years ago by @becker
show all tags
graph
guided
lasso
machine
learning
r
multilabel
multi
label
graphguidedlassomachinelearningrmultilabelmultilabel
(0)
copydelete
- community post
- history of this post
1mims-harvard/scikit-fusion: scikit-fusion: Data fusion via collective latent factor models
https://github.com/mims-harvard/scikit-fusion
4 years ago by @becker
show all tags
data
fusion
mit
multiview
learning
machine
graph
graphs
network
python
sklearn
skfusion
scikit
matrix
factorization
gpu
py
heterogeneous
latent
factor
datafusionmitmultiviewlearningmachinegraphgraphsnetworkpythonsklearnskfusionscikitmatrixfactorizationgpupyheterogeneouslatentfactor
(0)
copydelete
- community post
- history of this post
2Statistical Significance Tests for Comparing Machine Learning Algorithms
https://machinelearningmastery.com/statistical-significance-tests-for-comparing-machine-learning-algorithms/
4 years ago by @becker
show all tags
statistical
significance
test
testing
hypothesis
comparison
machine
learning
data
mining
science
cross
validation
statisticalsignificancetesttestinghypothesiscomparisonmachinelearningdataminingsciencecrossvalidation
(0)
copydelete
- community post
- history of this post
4Interpretable Machine Learning
https://christophm.github.io/interpretable-ml-book/
4 years ago by @becker
show all tags
interpretable
machine
learning
ml
xai
ai
artifical
intelligence
explainable
interpretablemachinelearningmlxaiaiartificalintelligenceexplainable
(0)
copydelete
- community post
- history of this post
1How to use Data Scaling Improve Deep Learning Model Stability and Performance
https://machinelearningmastery.com/how-to-improve-neural-network-stability-and-modeling-performance-with-data-scaling/
4 years ago by @becker
show all tags
deep
learning
scaling
input
output
data
machine
project
butterfly
deeplearningscalinginputoutputdatamachineprojectbutterfly
(0)
copydelete
- community post
- history of this post
1Don’t Sweat the Solver Stuff - Towards Data Science
https://towardsdatascience.com/dont-sweat-the-solver-stuff-aea7cddc3451
4 years ago by @becker
show all tags
logistic
regression
sklearn
linear
model
machine
learning
data
science
solver
python
py
logisticregressionsklearnlinearmodelmachinelearningdatasciencesolverpythonpy
(0)
copydelete
- community post
- history of this post
1arvkevi/kneed: Knee point detection in Python
https://github.com/arvkevi/kneed
4 years ago by @becker
show all tags
elbow
plot
method
clustering
number
of
clusters
cluster
python
data
science
mining
machine
learning
knee
kneed
kneedle
elbowplotmethodclusteringnumberofclustersclusterpythondatascienceminingmachinelearningkneekneedkneedle
(0)
copydelete
- community post
- history of this post

⟨⟨
⟨
1
2
3
⟩
⟩⟩

publications (hide)60
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

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
show all tags
computational
learning
machine
myown
pregnancy
stress
computationallearningmachinemyownpregnancystress
(0)
copydeleteadd this publication to your clipboard
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
show all tags
background
bki
ien
informed
integration
knowledge
learning
linear
machine
ml
regression
backgroundbkiieninformedintegrationknowledgelearninglinearmachinemlregression
(0)
copydeleteadd this publication to your clipboard
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
show all tags
background
bki
gnn
graph
informed
integration
knowledge
learning
machine
ml
networks
neural
backgroundbkignngraphinformedintegrationknowledgelearningmachinemlnetworksneural
(0)
copydeleteadd this publication to your clipboard
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
show all tags
alzheimer
deconvolution
epigenetics
genome
learning
machine
myown
alzheimerdeconvolutionepigeneticsgenomelearningmachinemyown
(0)
copydeleteadd this publication to your clipboard
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
show all tags
hidden
stratification
subgroup
machine
learning
failure
pattern
mining
citedby:scholar:count:243
citedby:scholar:timestamp:2023-5-31
hiddenstratificationsubgroupmachinelearningfailurepatternminingcitedby:scholar:count:243citedby:scholar:timestamp:2023-5-31
(0)
copydeleteadd this publication to your clipboard
2Machine learning techniques for accountability
B. Kim, and F. Doshi-Velez. AI Magazine, 42 (1): 47--52 (2021)
a year ago by @becker
show all tags
ai
artificial
intelligence
machine
learning
ml
accountability
responsible
citedby:scholar:count:15
citedby:scholar:timestamp:2023-4-10
aiartificialintelligencemachinelearningmlaccountabilityresponsiblecitedby:scholar:count:15citedby:scholar:timestamp:2023-4-10
(0)
copydeleteadd this publication to your clipboard
1Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning
M. Becker, J. Dai, A. Chang, D. Feyaerts, I. Stelzer, M. Zhang, E. Berson, G. Saarunya, D. De Francesco, C. Espinosa and 1 other author(s). Frontiers in Pediatrics, (2022)
a year ago by @becker
show all tags
adverse
cell
immune
immunology
learning
life
machine
multitask
myown
outcomes
pregnancy
single
stress
stressors
system
adversecellimmuneimmunologylearninglifemachinemultitaskmyownoutcomespregnancysinglestressstressorssystem
(0)
copydeleteadd this publication to your clipboard
1Machine Learning Techniques
J. Choi, N. Aghaeepour, and M. Becker. page 147--164. Springer International Publishing, Cham, (2022)
a year ago by @becker
show all tags
book
chapter
learning
machine
myown
surgery
bookchapterlearningmachinemyownsurgery
(0)
copydeleteadd this publication to your clipboard
4Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P. Villalobos, J. Sevilla, L. Heim, T. Besiroglu, M. Hobbhahn, and A. Ho. arXiv preprint arXiv:2211.04325, (2022)
a year ago by @becker
show all tags
themis
large
data
machine
learning
requirement
deep
models
model
dataset
datasets
set
sets
limit
themislargedatamachinelearningrequirementdeepmodelsmodeldatasetdatasetssetsetslimit
(0)
copydeleteadd this publication to your clipboard
2The Deskilling of Domain Expertise in AI Development
N. Sambasivan, and R. Veeraraghavan. CHI Conference on Human Factors in Computing Systems, page 1--14. (2022)
a year ago by @becker
show all tags
knowledge
themis
domain
expertise
ai
artificial
intelligence
machine
learning
deskilling
citedby:scholar:count:13
citedby:scholar:timestamp:2022-12-8
knowledgethemisdomainexpertiseaiartificialintelligencemachinelearningdeskillingcitedby:scholar:count:13citedby:scholar:timestamp:2022-12-8
(0)
copydeleteadd this publication to your clipboard
2Why do tree-based models still outperform deep learning on typical tabular data?
L. Grinsztajn, E. Oyallon, and G. Varoquaux. Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, (2022)
a year ago by @becker
show all tags
citedby:scholar:count:5
citedby:scholar:timestamp:2022-12-1
comparison
data
decision
evaluation
forest
learning
machine
ml
network
neural
nn
performance
random
tabular
tree
trees
citedby:scholar:count:5citedby:scholar:timestamp:2022-12-1comparisondatadecisionevaluationforestlearningmachinemlnetworkneuralnnperformancerandomtabulartreetrees
(0)
copydeleteadd this publication to your clipboard
1Interpretable machine learning prediction of all-cause mortality
W. Qiu, H. Chen, A. Dincer, S. Lundberg, M. Kaeberlein, and S. Lee. medRxiv, (2022)
a year ago by @becker
show all tags
fuelln
interpretable
machine
learning
ml
supervised
distance
collaboration
citedby:scholar:count:3
citedby:scholar:timestamp:2022-11-30
fuellninterpretablemachinelearningmlsuperviseddistancecollaborationcitedby:scholar:count:3citedby:scholar:timestamp:2022-11-30
(0)
copydeleteadd this publication to your clipboard
3Algorithmic fairness datasets: the story so far
A. Fabris, S. Messina, G. Silvello, and G. Susto. Data Mining and Knowledge Discovery, 36 (6): 2074--2152 (Nov 1, 2022)
a year ago by @becker
show all tags
algorithmic
fairness
learning
machine
themis
toread
algorithmicfairnesslearningmachinethemistoread
(0)
copydeleteadd this publication to your clipboard
1A guide to machine learning for biologists
J. Greener, S. Kandathil, L. Moffat, and D. Jones. Nature Reviews Molecular Cell Biology, 23 (1): 40--55 (2022)
2 years ago by @becker
show all tags
guide
machine
learning
biologists
nature
citedby:scholar:count:72
citedby:scholar:timestamp:2022-6-29
guidemachinelearningbiologistsnaturecitedby:scholar:count:72citedby:scholar:timestamp:2022-6-29
(0)
copydeleteadd this publication to your clipboard
1Explaining deep neural networks and beyond: A review of methods and applications
W. Samek, G. Montavon, S. Lapuschkin, C. Anders, and K. Müller. Proceedings of the IEEE, 109 (3): 247--278 (2021)
2 years ago by @becker
show all tags
explainable
machine
learning
neural
networks
themis
citedby:scholar:count:193
citedby:scholar:timestamp:2022-6-27
explainablemachinelearningneuralnetworksthemiscitedby:scholar:count:193citedby:scholar:timestamp:2022-6-27
(0)
copydeleteadd this publication to your clipboard
1A biomedical open knowledge network harnesses the power of AI to understand deep human biology
S. Baranzini, K. Börner, J. Morris, C. Nelson, K. Soman, E. Schleimer, M. Keiser, M. Musen, R. Pearce, T. Reza and 1 other author(s). Ai Magazine, 43 (1): 46--58 (2022)
2 years ago by @becker
show all tags
ai
background
biology
biomedical
citedby:scholar:count:1
citedby:scholar:timestamp:2022-6-21
graph
human
knowledge
learning
machine
network
open
aibackgroundbiologybiomedicalcitedby:scholar:count:1citedby:scholar:timestamp:2022-6-21graphhumanknowledgelearningmachinenetworkopen
(0)
copydeleteadd this publication to your clipboard
2Integrating Machine Learning with Human Knowledge
C. Deng, X. Ji, C. Rainey, J. Zhang, and W. Lu. iScience, 23 (11): 101656 (2020)
2 years ago by @becker
show all tags
background
integration
knowledge
learning
machine
review
survey
backgroundintegrationknowledgelearningmachinereviewsurvey
(0)
copydeleteadd this publication to your clipboard
1Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress
D. Panelli, S. Leonard, R. Wong, M. Becker, J. Mayo, E. Wu, A. Girsen, I. Gotlib, N. Aghaeepour, M. Druzin and 1 other author(s). BMC Pregnancy and Childbirth, 22 (1): 1--12 (2022)
2 years ago by @becker
show all tags
learning
machine
myown
pregnancy
stress
telomere
telomeres
learningmachinemyownpregnancystresstelomeretelomeres
(0)
copydeleteadd this publication to your clipboard
5Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka, J. Patterson, and C. Nolet. Information, 11 (4): 193 (2020)
2 years ago by @becker
show all tags
ai
artifical
data
gpu
intelligence
learning
library
machine
paper:fastcor
py
python
rapids
science
aiartificaldatagpuintelligencelearninglibrarymachinepaper:fastcorpypythonrapidsscience
(0)
copydeleteadd this publication to your clipboard
3MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
T. Kyono, Y. Zhang, A. Bellot, and M. van der Schaar. Advances in Neural Information Processing Systems, (2021)
2 years ago by @becker
show all tags
causal
citedby:scholar:count:1
citedby:scholar:timestamp:2022-3-21
data
imputation
impute
learning
machine
missing
toread
value
causalcitedby:scholar:count:1citedby:scholar:timestamp:2022-3-21dataimputationimputelearningmachinemissingtoreadvalue
(0)
copydeleteadd this publication to your clipboard

⟨⟨
⟨
1
2
3
⟩
⟩⟩