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1Everlaw Launches AI-based Clustering to Open a New World of Ediscovery Insights to Legal Teams
/PRNewswire/ -- Everlaw, the cloud-native investigation and litigation platform, unveiled its Clustering software feature today, delivering an AI breakthrough...
2 years ago by @becker
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1hypothesis testing - What's the formula for the Benjamini-Hochberg adjusted p-value? - Cross Validated
https://stats.stackexchange.com/questions/238458/whats-the-formula-for-the-benjamini-hochberg-adjusted-p-value
2 years ago by @becker
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adjusted
cite
pvalue
benjamini
hochberg
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rate
statistical
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adjustedcitepvaluebenjaminihochbergfdrcorrectionfalsediscoveryratestatisticaltestsignificance
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1HMProenca/RuleList
https://github.com/HMProenca/RuleList
2 years ago by @becker
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gitlab
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1HMProenca/RobustSubgroupDiscovery: This repository replicates the experiments in the 'Robust Subgroup Discovery' paper.
https://github.com/HMProenca/RobustSubgroupDiscovery
2 years ago by @becker
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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
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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
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data
dataset
graph
representation
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biomedical
medical
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network
networks
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1The Power of Saying “I don’t know”—An Introduction to Subgroup Discovery and Local Modeling | realKD
Nice illustration why local models may make sense to pay attention to.
3 years ago by @becker
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explain
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discoveryexplainexplainableexplanationlocalminingpatternsubgroupsubgroupsuncertaintyexampleillustration
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1I can I stop this annoying addition of all my network printers : Ubuntu
https://www.reddit.com/r/Ubuntu/comments/7xjinc/i_can_i_stop_this_annoying_addition_of_all_my/
5 years ago by @becker
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1False Positives, FWER, and FDR Explained | Less Likely
https://lesslikely.com/statistics/multiplicity-explained/
5 years ago by @becker
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bonferroni
fwer
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hochberg
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bonferronifwerfdrfalsediscoveryratebenjaminihochbergmultiplecomparisonhypothesisnullcorrectionsignificantstatisticaltest
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1CART-based approach to discover emerging patterns in microarray data | Bioinformatics | Oxford Academic
https://academic.oup.com/bioinformatics/article/19/18/2465/194662
5 years ago by @becker
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1Selective inference in complex research
Y. Benjamini, R. Heller, and D. Yekutieli. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367 (1906): 4255--4271 (2009)
2 years ago by @becker
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benjamini
correction
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benjaminicorrectiondiscoveryfalsehochbergpaper:fastcorpvaluepvaluesrate
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2Uni-and multivariate probability density models for numeric subgroup discovery
M. Meeng, H. de Vries, P. Flach, S. Nijssen, and A. Knobbe. Intelligent Data Analysis, 24 (6): 1403--1439 (2020)
2 years ago by @becker
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probability
density
multivariate
subgroup
discovery
exceptional
model
mining
numeric
target
citedby:scholar:count:5
citedby:scholar:timestamp:2022-5-24
probabilitydensitymultivariatesubgroupdiscoveryexceptionalmodelminingnumerictargetcitedby:scholar:count:5citedby:scholar:timestamp:2022-5-24
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1Robust subgroup discovery
H. Proenca, T. Bäck, and M. van Leeuwen. arXiv preprint arXiv:2103.13686, (2021)
2 years ago by @becker
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set
subgroup
robust
citedby:scholar:count:2
citedby:scholar:timestamp:2022-4-14
discovery
setsubgrouprobustcitedby:scholar:count:2citedby:scholar:timestamp:2022-4-14discovery
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1Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions
R. Schouten, M. Bueno, W. Duivesteijn, and M. Pechenizkiy. Data Mining and Knowledge Discovery, (2021)
2 years ago by @becker
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subgroup
discovery
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subgroupdiscoveryemmexceptionalmodelminingsequencesequencesmarkovhigherorderwoutertransitionbehavior
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1Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
A. Mrowca, F. Gyrock, and S. Günnemann. Data Mining and Knowledge Discovery, (2021)
2 years ago by @becker
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bayes
bayesian
temporal
model
modeling
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multivariate
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discovery
bayesbayesiantemporalmodelmodelingnetworkmultivariatesequencediscovery
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2The spotlight: A general method for discovering systematic errors in deep learning models
G. d'Eon, J. d'Eon, J. Wright, and K. Leyton-Brown. arXiv preprint arXiv:2107.00758, (2021)
2 years ago by @becker
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subgroups
subgroup
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performance
deep
learning
citedby:scholar:count:1
citedby:scholar:timestamp:2022-1-21
subgroupssubgroupdiscoverymodelperformancedeeplearningcitedby:scholar:count:1citedby:scholar:timestamp:2022-1-21
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3Regularized multi--task learning
T. Evgeniou, and M. Pontil. Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, page 109--117. (2004)
2 years ago by @becker
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multitask
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task
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regularization
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kernel
citedby:scholar:count:1674
citedby:scholar:timestamp:2021-12-15
multitaskmultitasklearningsubgroupdiscoverysubgroupssvmregularizationkernelskernelcitedby:scholar:count:1674citedby:scholar:timestamp:2021-12-15
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2Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches
L. Wang, and D. Zhu. Data Mining and Knowledge Discovery, 35 (3): 1134--1161 (2021)
2 years ago by @becker
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multitask
multi
task
learning
subgroup
discovery
subgroups
citedby:scholar:count:1
citedby:scholar:timestamp:2021-12-15
multitaskmultitasklearningsubgroupdiscoverysubgroupscitedby:scholar:count:1citedby:scholar:timestamp:2021-12-15
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4Optimal subgroup discovery in purely numerical data
A. Millot, R. Cazabet, and J. Boulicaut. Pacific-Asia Conference on Knowledge Discovery and Data Mining, page 112--124. Springer, (2020)
3 years ago by @becker
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numeric
target
subgroups
subgroup
discovery
optimal
citedby:scholar:count:6
citedby:scholar:timestamp:2021-8-19
numerictargetsubgroupssubgroupdiscoveryoptimalcitedby:scholar:count:6citedby:scholar:timestamp:2021-8-19
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1Temporal network pattern identification by community modelling
X. Gao, Q. Zheng, D. Vega-Oliveros, L. Anghinoni, and L. Zhao. Scientific reports, 10 (1): 1--12 (2020)
3 years ago by @becker
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project:bmbf
temproal
network
pattern
identification
discovery
community
modeling
detection
citedby:scholar:count:9
citedby:scholar:timestamp:2021-7-27
project:bmbftemproalnetworkpatternidentificationdiscoverycommunitymodelingdetectioncitedby:scholar:count:9citedby:scholar:timestamp:2021-7-27
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2Sdt: A tree method for detecting patient subgroups with personalized risk factors
X. Li, D. Zhu, M. Dong, M. Nezhad, A. Janke, and P. Levy. AMIA Summits on Translational Science Proceedings, (2017)
3 years ago by @becker
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citedby:scholar:count:6
citedby:scholar:timestamp:2021-7-26
cv
discovery
factor
factors
project:bmbf
risk
subgroup
subgroups
citedby:scholar:count:6citedby:scholar:timestamp:2021-7-26cvdiscoveryfactorfactorsproject:bmbfrisksubgroupsubgroups
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1Contrasting subgroup discovery
L. Langohr, V. Podpecan, M. Petek, I. Mozetic, K. Gruden, N. Lavrac, and H. Toivonen. The Computer Journal, 56 (3): 289--303 (2013)
3 years ago by @becker
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project:bmbf
contrast
contrasting
subgroup
discovery
citedby:scholar:count:16
citedby:scholar:timestamp:2021-7-25
project:bmbfcontrastcontrastingsubgroupdiscoverycitedby:scholar:count:16citedby:scholar:timestamp:2021-7-25
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1Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing
M. Del Jesus, P. González, F. Herrera, and M. Mesonero. IEEE Transactions on Fuzzy Systems, 15 (4): 578--592 (2007)
3 years ago by @becker
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project:bmbf
fuzzy
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citedby:scholar:count:141
citedby:scholar:timestamp:2021-7-25
project:bmbffuzzysubgroupdiscoveryruleminingcitedby:scholar:count:141citedby:scholar:timestamp:2021-7-25
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2Mining Formal Concepts using Implications between Items
A. Belfodil, A. Belfodil, and M. Kaytoue. International Conference on Formal Concept Analysis, page 173--190. Springer, (2019)
3 years ago by @becker
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closure
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2Fssd-a fast and efficient algorithm for subgroup set discovery
A. Belfodil, A. Belfodil, A. Bendimerad, P. Lamarre, C. Robardet, M. Kaytoue, and M. Plantevit. 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), page 91--99. IEEE, (2019)
3 years ago by @becker
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subgroups
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citedby:scholar:count:8
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subgroupsfastsubgroupsetdiscoveryexceptionalmodelminingemmcitedby:scholar:count:8citedby:scholar:timestamp:2021-7-7
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2BoostEMM-Transparent Boosting using Exceptional Model Mining.
S. van der Zon, O. Zeev-Ben-Mordehai, T. Vrijdag, W. van Ipenburg, W. Duivesteijn, J. Veldsink, and M. Pechenizkiy. MIDAS@ PKDD/ECML, page 5--16. (2017)
3 years ago by @becker
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4For real: a thorough look at numeric attributes in subgroup discovery
M. Meeng, and A. Knobbe. Data Mining and Knowledge Discovery, 35 (1): 158--212 (2021)
3 years ago by @becker
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subgroup
discovery
emm
exceptional
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attributes
attribute
citedby:scholar:count:2
citedby:scholar:timestamp:2021-2-23
subgroupdiscoveryemmexceptionalmodelminingnumericattributesattributecitedby:scholar:count:2citedby:scholar:timestamp:2021-2-23
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2Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data
D. Mollenhauer, and M. Atzmueller. (2020)
3 years ago by @becker
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pattern
mining
gp
growth
prefix
span
parallel
distributed
exceptional
model
sequence
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emm
map
reduce
mapreduce
spark
patternmininggpgrowthprefixspanparalleldistributedexceptionalmodelsequencesequentialdiscoveryemmmapreducemapreducespark
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1Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism
A. Ramirez-Celis, M. Becker, M. Nuño, J. Schauer, N. Aghaeepour, and J. Van de Water. Molecular Psychiatry, (2021)
3 years ago by @becker
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asd
autism
discovery
disorder
myown
p21
project:bmbf
projectrelated
spectrum
subgroup
subgroups
asdautismdiscoverydisordermyownp21project:bmbfprojectrelatedspectrumsubgroupsubgroups
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1FairVis: Visual analytics for discovering intersectional bias in machine learning
{. Cabrera, W. Epperson, F. Hohman, M. Kahng, J. Morgenstern, and D. Chau. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), page 46--56. IEEE, (2019)
3 years ago by @becker
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subgroups
subgroup
visualization
sg
discovery
citedby:scholar:count:24
citedby:scholar:timestamp:2021-1-19
subgroupssubgroupvisualizationsgdiscoverycitedby:scholar:count:24citedby:scholar:timestamp:2021-1-19
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1Everlaw Launches AI-based Clustering to Open a New World of Ediscovery Insights to Legal Teams

1hypothesis testing - What's the formula for the Benjamini-Hochberg adjusted p-value? - Cross Validated

1HMProenca/RuleList

1HMProenca/RobustSubgroupDiscovery: This repository replicates the experiments in the 'Robust Subgroup Discovery' paper.

1Predicting algorithms - machine learning for index structures

1LOGML - Marinka Zitnik: Graph Representation Learning for Biomedical Discovery - YouTube

1The Power of Saying “I don’t know”—An Introduction to Subgroup Discovery and Local Modeling | realKD

1I can I stop this annoying addition of all my network printers : Ubuntu

1False Positives, FWER, and FDR Explained | Less Likely

1CART-based approach to discover emerging patterns in microarray data | Bioinformatics | Oxford Academic

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1Selective inference in complex research

2Uni-and multivariate probability density models for numeric subgroup discovery

1Robust subgroup discovery

1Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions

1Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation

2The spotlight: A general method for discovering systematic errors in deep learning models

3Regularized multi--task learning

2Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

4Optimal subgroup discovery in purely numerical data

1Temporal network pattern identification by community modelling

2Sdt: A tree method for detecting patient subgroups with personalized risk factors

1Contrasting subgroup discovery

1Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing

2Mining Formal Concepts using Implications between Items

2Fssd-a fast and efficient algorithm for subgroup set discovery

2BoostEMM-Transparent Boosting using Exceptional Model Mining.

4For real: a thorough look at numeric attributes in subgroup discovery

2Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data

1Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism

1FairVis: Visual analytics for discovering intersectional bias in machine learning

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