Explore tweets tagged as #InterpretableMachineLearning
@benrfitzpatrick
Ben R Fitzpatrick
5 years
Very grateful for the opportunity to talk about #spatial #CrossValidation & #visualisation for #InterpretableMachineLearning at #vISEC2020
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@USGS_LMG
USGS Lower MS Gulf
6 years
🔥Hot off the press🔥 #USGSLMG @theAGU #WRR paper uses #TheoryGuidedDataScience and #InterpretableMachineLearning for the prediction and inference of #FlowDurationCurves in > 9,000 ungaged locations within the SE US for 6 decades (1950 - 2009)!.Read more:
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@BrunoGrisci
Bruno Grisci
4 years
Our new paper about #interpretablemachinelearning is online just in time for Carnaval! "Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data" was published on Information Sciences: 1/10
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@USJ_online
Urban Studies Journal
10 months
New study by Sugie Lee et al aims to investigate the nonlinear relationships and threshold effects between #CrimePatterns and street-level neighbourhood environments using #MachineLearning models and the #InterpretableMachineLearning technique.@hippdude1
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@AlessiaSarica
Alessia Sarica 🇮🇹🧠👩‍💻
2 years
Thanks to Parul Verma , Malhar Patel, MD and Sanjay Ghosh for their amazing talks, this was an exciting 3rd edition of the Special Session XAIB @BrainInformatics2023 Stevens Institute of Technology, Hoboken, NY #explainableartificialintelligence #interpretablemachinelearning
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@fjnogales
Javier Nogales
5 years
InterpretML: an open source tool for intelligibility.#DataScience #Python #InterpretableMachineLearning
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@Applsci
Applied Sciences MDPI
4 months
📢 Read our Review Paper .📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications.🔗 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques
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@NurAhmedB
Nur Ahmed
8 years
Understanding Deep Learning."The network was indeed homing in on higher-level traits that we could understand.".Details: . #InterpretableMachineLearning #MachineLearning [2/2]
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@DrMattCrowson
Reluctant Quant
6 years
Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python #MachineLearning #Python #interpretablemachinelearning
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@benrfitzpatrick
Ben R Fitzpatrick
5 years
#spatial #CrossValidation & a #visualisation for #InterpretableMachineLearning applied to #SpeciesDistributionModelling. my 10min #vISEC2020 talk is available on YouTube:. this analysis was completed with #RStats
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@HacarusInc
HACARUS
3 years
【本日開催です📢】.本日18:30よりオンラインで #TECHin京都 の技術勉強会を開催します✨ 聴講枠もまだ少し空きがありますので、どんな雰囲気か是非覗きにきてみてください👀🌱.#AI #勉強会 #DataScience #機械学習 #InterpretableMachineLearning.
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@benrfitzpatrick
Ben R Fitzpatrick
5 years
The groups of curves visible in the ICE plot for one explanatory variable were associated with the values of a second explanatory variable providing evidence of an interaction:. #InterpretableMachineLearning.#ExplainableAI.#ModelTransparency
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@benrfitzpatrick
Ben R Fitzpatrick
5 years
We used Individual Conditional Expectation (ICE) plots to examine how our #RandomForest model was using explanatory variables (a.k.a. covariates/features) to predict the probability of ant mound occurrence. #InterpretableMachineLearning.#ExplainableAI.#ModelTransparency
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@Algorithms_MDPI
Algorithms MDPI
5 years
[Article] Fibers of Failure: Classifying Errors in Predictive Processes. Full #openaccess @ #topologicaldataanalysis.#mapper.#predictivemodel.#interpretablemachinelearning.#algorithms
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@Entropy_MDPI
Entropy MDPI
3 years
#SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! . #interpretablemachinelearning.#reinforcementlearning.#supervisedlearning
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@HacarusInc
HACARUS
4 years
【技術ブログ更新📢】. #連載記事 の第二弾。本記事では #InterpretableMachineLearning の5章でも紹介されているPDPの信頼性を可視化する方法の1つである Derivative Individual Conditional Expectation (d-ICE) について実際のデータを使用して紹介しています。#機械学習 .
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@TAD_Tau
TAD Center for AI and DS at Tel Aviv University
3 years
Thank you @CynthiaRudin for a great Keynote Lecture @TAD_Tau 2022 Year-End event!. #interpretableMachineLearning
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@Algorithms_MDPI
Algorithms MDPI
4 years
[Article] Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. Fully #openaccess @ #featureselection.#representativevariabledetection.#interpretablemachinelearning.#regularization.#complexdata.#algorithms
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@rathod_jash
Jash Rathod
5 years
If that’s indeed true, can #explainability techniques be applied to such #AI models to learn how to make a #startup successful?. What do you think?. #ArtificialIntelligence #MachineLearning #DeepLearning #AI #business #XAI #InterpretableMachineLearning #Entrepreneurs #ML.
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