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#interpretablemachinelearning 검색 결과

NurAhmedB's profile picture. Assistant Prof @UArkansas, Digital Fellow @MIT, Strategy, Innovation, Corporate Science, Science of Science, #AI, #MgmtTwitter 🇨🇦 🇧🇩
Nur Ahmed
 @NurAhmedB
2017. 11. 25.

Understanding Deep Learning."The network was indeed homing in on higher-level traits that we could understand." Details: distill.pub/2017/feature-v… #InterpretableMachineLearning #MachineLearning [2/2]

NurAhmedB's tweet image. Understanding Deep Learning."The network was indeed homing in on higher-level traits that we could understand." Details: distill.pub/2017/feature-v… #InterpretableMachineLearning #MachineLearning [2/2]
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BrunoGrisci's profile picture. Learning how machines learn. PhD in Computer Science from @sbcblab Professor at @INF_UFRGS @ufrgsnoticias
Bruno Grisci
 @BrunoGrisci
2021. 2. 15.

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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10

BrunoGrisci's tweet image. 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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10
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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 7. 31.

A visual representation of the pillars of healthcare AI from our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI comp.hkbu.edu.hk/~iib/2018/Aug/…

vonaurum's tweet image. A visual representation of the pillars of healthcare AI from our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI comp.hkbu.edu.hk/~iib/2018/Aug/…
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AlessiaSarica's profile picture. Associate Prof. of Advanced Medical and Surgical Technology and Methodology, Neuroscience 🧠 @UMG_Tweet @DSMC_unicz | AI XAI ML MRI DTI | Biomedical Engineer
Alessia Sarica 🇮🇹🧠👩‍💻
 @AlessiaSarica
2023. 8. 1.

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

AlessiaSarica's tweet image. 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
AlessiaSarica's tweet image. 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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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
. 3. 14.

📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques

Applsci's tweet image. 📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques
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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 7. 31.

A visual representation of the intro section of our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI @kdd_news

vonaurum's tweet image. A visual representation of the intro section of our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI @kdd_news
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fjnogales's profile picture. Full Professor in Statistics and Optimization @uc3m Interested in #Analytics #DataScience #Forecasting #MachineLearning (Opinions are my own)
Javier Nogales
 @fjnogales
2020. 11. 11.

InterpretML: an open source tool for intelligibility github.com/interpretml/in… #DataScience #Python #InterpretableMachineLearning

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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 8. 5.

A lot of buzz around Explainable AI at #kdd2019, if you are interested in #ExplainableAI or #InterpretableMachineLearning then be sure to check out our paper at @IJCAIconf on Using Imputation in Explainable AI and ML models #KDD19 ceur-ws.org/Vol-2419/paper…

vonaurum's tweet image. A lot of buzz around Explainable AI at #kdd2019, if you are interested in #ExplainableAI or #InterpretableMachineLearning then be sure to check out our paper at @IJCAIconf on Using Imputation in Explainable AI and ML models #KDD19 ceur-ws.org/Vol-2419/paper…
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USJ_online's profile picture. Urban Studies Journal – publishing ground-breaking contributions across the full range of social science disciplines.
Urban Studies Journal
 @USJ_online
2024. 10. 1.

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 ow.ly/IqE750Txas2 @hippdude1

USJ_online's tweet image. 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 ow.ly/IqE750Txas2 @hippdude1
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benrfitzpatrick's profile picture. PhD Statistics | BSc Zoology & Marine Biology | quantitative ecology | spatial data science | #rstats | #rspatial | retweets &likes are not endorsements. he/him
Ben R Fitzpatrick
 @benrfitzpatrick
2021. 1. 17.

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

benrfitzpatrick's tweet image. 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
benrfitzpatrick's tweet image. 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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DrMattCrowson's profile picture. Hearing & Balance Surgeon @MassEyeAndEar Asst Professor @HarvardMed | #DataScience #MachineLearning | Washed up #HockeyGoalie
Reluctant Quant
@DrMattCrowson
2019. 8. 26.

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python dlvr.it/RBt75D #MachineLearning #Python #interpretablemachinelearning

DrMattCrowson's tweet image. Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python dlvr.it/RBt75D #MachineLearning #Python #interpretablemachinelearning
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benrfitzpatrick's profile picture. PhD Statistics | BSc Zoology & Marine Biology | quantitative ecology | spatial data science | #rstats | #rspatial | retweets &likes are not endorsements. he/him
Ben R Fitzpatrick
 @benrfitzpatrick
2021. 1. 17.

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

benrfitzpatrick's tweet image. 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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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
2024. 7. 15.

🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski

Applsci's tweet image. 🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski
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Entropy_MDPI's profile picture. Entropy (ISSN 1099-4300; IF=2.0) is an international and interdisciplinary open access journal of entropy and information studies.
Entropy MDPI
 @Entropy_MDPI
2022. 8. 4.

#SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning

Entropy_MDPI's tweet image. #SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning
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El_Pluriverso's profile picture. categorical cybernetics ∞ stand-up tragedian * scholasticizing pronouns ('what', 'this, 'that') * accelerating at intersections (of ideas) * #BrachaEttinger ﷽
Matrixial Pluriverse ۝
 @El_Pluriverso
2022. 7. 5.

thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…

El_Pluriverso's tweet image. thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…
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biologeek's profile picture. Metabolomics, #Rstats and feature importance curiosity 🤔
Cristina
 @biologeek
2019. 5. 19.

1/2 On another note, though not the one to excite about applications or promises of ML, this one video of @KKulma on #IML or #InterpretableMachineLearning has almost become a classic and is a must-watch: youtu.be/CY3t11vuuOM

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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
. 3. 14.

📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques

Applsci's tweet image. 📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques
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MAKE_MDPI's profile picture. Machine Learning and Knowledge Extraction (ISSN 2504-4990) is a peer-reviewed, #scholarly #openaccess journal focus on #machinelearning and applications.
MAKE_MDPI
 @MAKE_MDPI
2024. 10. 21.

🏥 This study focuses on the use of #interpretablemachinelearning to #predict unscheduled #hospitalreadmissions, which contribute significantly to healthcare costs, particularly for chronic patients. 👉 mdpi.com/2504-4990/6/3/…

MAKE_MDPI's tweet image. 🏥 This study focuses on the use of #interpretablemachinelearning to #predict unscheduled #hospitalreadmissions, which contribute significantly to healthcare costs, particularly for chronic patients. 👉 mdpi.com/2504-4990/6/3/…
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USJ_online's profile picture. Urban Studies Journal – publishing ground-breaking contributions across the full range of social science disciplines.
Urban Studies Journal
 @USJ_online
2024. 10. 1.

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 ow.ly/IqE750Txas2 @hippdude1

USJ_online's tweet image. 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 ow.ly/IqE750Txas2 @hippdude1
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
2024. 7. 15.

🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski

Applsci's tweet image. 🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski
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AlessiaSarica's profile picture. Associate Prof. of Advanced Medical and Surgical Technology and Methodology, Neuroscience 🧠 @UMG_Tweet @DSMC_unicz | AI XAI ML MRI DTI | Biomedical Engineer
Alessia Sarica 🇮🇹🧠👩‍💻
 @AlessiaSarica
2023. 8. 1.

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

AlessiaSarica's tweet image. 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
AlessiaSarica's tweet image. 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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TheHDSR's profile picture. The open access platform of @harvard_data, HDSR is a global forum on everything data science and data science for everyone.
Harvard Data Science Review
 @TheHDSR
2022. 8. 5.

A compelling study by Vaishali Jain, @TedEnamorado & @CynthiaRudin on name-based ethnicity classification, an important tool used to estimate racial bias across different settings from lending to resume screening to policing. #interpretablemachinelearning hdsr.mitpress.mit.edu/pub/wgss79vu

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Entropy_MDPI's profile picture. Entropy (ISSN 1099-4300; IF=2.0) is an international and interdisciplinary open access journal of entropy and information studies.
Entropy MDPI
 @Entropy_MDPI
2022. 8. 4.

#SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning

Entropy_MDPI's tweet image. #SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning
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El_Pluriverso's profile picture. categorical cybernetics ∞ stand-up tragedian * scholasticizing pronouns ('what', 'this, 'that') * accelerating at intersections (of ideas) * #BrachaEttinger ﷽
Matrixial Pluriverse ۝
 @El_Pluriverso
2022. 7. 5.

thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…

El_Pluriverso's tweet image. thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…
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BBischl's profile picture. BlueSky: https://t.co/28KamAEyCt https://t.co/vkJ6VP51mp https://t.co/IrXToXIryg https://t.co/pdkhCJAPEs https://t.co/gW4z9u6bzG
SLDS / Bernd Bischl
 @BBischl
2021. 12. 6.

New paper from us on grouped feature interpretation. On arxiv + under review. Review of group imp techniques + guidelines + new method to visualize grouped effects -- dubbed "combined features effect plot". arxiv.org/abs/2104.11688 #InterpretableMachineLearning

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codecentric's profile picture. Creating the digital future together. https://t.co/hh0aVc50ua…
codecentric AG
 @codecentric
2021. 9. 6.

What is Interpretable Machine Learning and what are its potentials in the field of #DataScience? Our colleague @ShirinGlander recently gave an interview to the #InterpretableMachineLearning #Podcast: cclnk.de/3ByNxJQ #machinelearning #predictivemaintenance

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tianhuil's profile picture. 2XFounder & @Google #DataScientist. @a16z @NASA @Princeton #PhD; write for @TechCrunch @WSJ @HarvardBiz @MarshallScholar @HertzFoundation fellow.
Michael Li
 @tianhuil
2021. 6. 30.

Like Machine Learning Engineering, Aurélien Géron’s book is a practical guide aimed at giving programmers the necessary ML insights and information. blog.crossminds.ai/post/10-ai-boo… #AI #MachineLearning #InterpretableMachineLearning #MachineLearningEngineering #MLengineers

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BrunoGrisci's profile picture. Learning how machines learn. PhD in Computer Science from @sbcblab Professor at @INF_UFRGS @ufrgsnoticias
Bruno Grisci
 @BrunoGrisci
2021. 2. 15.

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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10

BrunoGrisci's tweet image. 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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10
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"#interpretablemachinelearning"에 대한 결과가 없습니다
Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
. 3. 14.

📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques

Applsci's tweet image. 📢 Read our Review Paper 📚 Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Ainura Tursunalieva et al. #interpretablemachinelearning #interpretationtechniques
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USJ_online's profile picture. Urban Studies Journal – publishing ground-breaking contributions across the full range of social science disciplines.
Urban Studies Journal
 @USJ_online
2024. 10. 1.

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 ow.ly/IqE750Txas2 @hippdude1

USJ_online's tweet image. 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 ow.ly/IqE750Txas2 @hippdude1
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DrMattCrowson's profile picture. Hearing & Balance Surgeon @MassEyeAndEar Asst Professor @HarvardMed | #DataScience #MachineLearning | Washed up #HockeyGoalie
Reluctant Quant
@DrMattCrowson
2019. 8. 26.

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python dlvr.it/RBt75D #MachineLearning #Python #interpretablemachinelearning

DrMattCrowson's tweet image. Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python dlvr.it/RBt75D #MachineLearning #Python #interpretablemachinelearning
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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 7. 31.

A visual representation of the pillars of healthcare AI from our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI comp.hkbu.edu.hk/~iib/2018/Aug/…

vonaurum's tweet image. A visual representation of the pillars of healthcare AI from our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI comp.hkbu.edu.hk/~iib/2018/Aug/…
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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 7. 31.

A visual representation of the intro section of our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI @kdd_news

vonaurum's tweet image. A visual representation of the intro section of our KDD Tutorial @ankurt @vikasnitr Dr. Carly on Interpretable Machine Learning in Healthcare from last year #KDD2019 #InterpretableMachineLearning #ExplainableAI @kdd_news
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
2024. 7. 15.

🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski

Applsci's tweet image. 🔥 Read our Highly Cited Paper 📚 Explainable Machine Learning for Lung Cancer Screening Models 🔗 mdpi.com/2076-3417/12/4… 👨‍🔬 by Mrs. Katarzyna Kobylińska et al. #interpretablemachinelearning @UniWarszawski
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BrunoGrisci's profile picture. Learning how machines learn. PhD in Computer Science from @sbcblab Professor at @INF_UFRGS @ufrgsnoticias
Bruno Grisci
 @BrunoGrisci
2021. 2. 15.

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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10

BrunoGrisci's tweet image. 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: authors.elsevier.com/c/1ca-O4ZQE4D7A 1/10
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NurAhmedB's profile picture. Assistant Prof @UArkansas, Digital Fellow @MIT, Strategy, Innovation, Corporate Science, Science of Science, #AI, #MgmtTwitter 🇨🇦 🇧🇩
Nur Ahmed
 @NurAhmedB
2017. 11. 25.

Understanding Deep Learning."The network was indeed homing in on higher-level traits that we could understand." Details: distill.pub/2017/feature-v… #InterpretableMachineLearning #MachineLearning [2/2]

NurAhmedB's tweet image. Understanding Deep Learning."The network was indeed homing in on higher-level traits that we could understand." Details: distill.pub/2017/feature-v… #InterpretableMachineLearning #MachineLearning [2/2]
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Entropy_MDPI's profile picture. Entropy (ISSN 1099-4300; IF=2.0) is an international and interdisciplinary open access journal of entropy and information studies.
Entropy MDPI
 @Entropy_MDPI
2022. 8. 4.

#SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning

Entropy_MDPI's tweet image. #SpecialIssue "Information Theory for Interpretable Machine Learning", edited by Dr. Marco Piangerelli and Dr. Sotiris Kotsiantis, is open for submission! mdpi.com/journal/entrop… #interpretablemachinelearning #reinforcementlearning #supervisedlearning
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vonaurum's profile picture. AI Researcher | UW Harborview Medical Center | University of Washington
Muhammad Aurangzeb Ahmad
 @vonaurum
2019. 8. 5.

A lot of buzz around Explainable AI at #kdd2019, if you are interested in #ExplainableAI or #InterpretableMachineLearning then be sure to check out our paper at @IJCAIconf on Using Imputation in Explainable AI and ML models #KDD19 ceur-ws.org/Vol-2419/paper…

vonaurum's tweet image. A lot of buzz around Explainable AI at #kdd2019, if you are interested in #ExplainableAI or #InterpretableMachineLearning then be sure to check out our paper at @IJCAIconf on Using Imputation in Explainable AI and ML models #KDD19 ceur-ws.org/Vol-2419/paper…
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AlessiaSarica's profile picture. Associate Prof. of Advanced Medical and Surgical Technology and Methodology, Neuroscience 🧠 @UMG_Tweet @DSMC_unicz | AI XAI ML MRI DTI | Biomedical Engineer
Alessia Sarica 🇮🇹🧠👩‍💻
 @AlessiaSarica
2023. 8. 1.

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

AlessiaSarica's tweet image. 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
AlessiaSarica's tweet image. 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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El_Pluriverso's profile picture. categorical cybernetics ∞ stand-up tragedian * scholasticizing pronouns ('what', 'this, 'that') * accelerating at intersections (of ideas) * #BrachaEttinger ﷽
Matrixial Pluriverse ۝
 @El_Pluriverso
2022. 7. 5.

thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…

El_Pluriverso's tweet image. thank you, I just watched his video introducing the #InterpretableMachineLearning book, super knowledgeable, I look forward to the interview! youtube.com/watch?v=YTz9Pa…
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fjnogales's profile picture. Full Professor in Statistics and Optimization @uc3m Interested in #Analytics #DataScience #Forecasting #MachineLearning (Opinions are my own)
Javier Nogales
 @fjnogales
2020. 11. 11.

InterpretML: an open source tool for intelligibility github.com/interpretml/in… #DataScience #Python #InterpretableMachineLearning

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benrfitzpatrick's profile picture. PhD Statistics | BSc Zoology & Marine Biology | quantitative ecology | spatial data science | #rstats | #rspatial | retweets &likes are not endorsements. he/him
Ben R Fitzpatrick
 @benrfitzpatrick
2021. 1. 17.

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

benrfitzpatrick's tweet image. 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
benrfitzpatrick's tweet image. 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's profile picture. PhD Statistics | BSc Zoology & Marine Biology | quantitative ecology | spatial data science | #rstats | #rspatial | retweets &likes are not endorsements. he/him
Ben R Fitzpatrick
 @benrfitzpatrick
2021. 1. 17.

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

benrfitzpatrick's tweet image. 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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MAKE_MDPI's profile picture. Machine Learning and Knowledge Extraction (ISSN 2504-4990) is a peer-reviewed, #scholarly #openaccess journal focus on #machinelearning and applications.
MAKE_MDPI
 @MAKE_MDPI
2024. 10. 21.

🏥 This study focuses on the use of #interpretablemachinelearning to #predict unscheduled #hospitalreadmissions, which contribute significantly to healthcare costs, particularly for chronic patients. 👉 mdpi.com/2504-4990/6/3/…

MAKE_MDPI's tweet image. 🏥 This study focuses on the use of #interpretablemachinelearning to #predict unscheduled #hospitalreadmissions, which contribute significantly to healthcare costs, particularly for chronic patients. 👉 mdpi.com/2504-4990/6/3/…
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