OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Knowledge Discovery from Complex High Dimensional Data
Sangkyun Lee, Andreas Holzinger
Lecture notes in computer science (2016), pp. 148-167
Closed Access | Times Cited: 11
Sangkyun Lee, Andreas Holzinger
Lecture notes in computer science (2016), pp. 148-167
Closed Access | Times Cited: 11
Showing 11 citing articles:
Causability and explainability of artificial intelligence in medicine
Andreas Holzinger, Georg Langs, Helmut Denk, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 9, Iss. 4
Open Access | Times Cited: 1221
Andreas Holzinger, Georg Langs, Helmut Denk, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 9, Iss. 4
Open Access | Times Cited: 1221
From Machine Learning to Explainable AI
Andreas Holzinger
(2018), pp. 55-66
Closed Access | Times Cited: 255
Andreas Holzinger
(2018), pp. 55-66
Closed Access | Times Cited: 255
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey
Antonio Jesús Banegas‐Luna, Jorge Peña‐García, Adrian Iftene, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4394-4394
Open Access | Times Cited: 54
Antonio Jesús Banegas‐Luna, Jorge Peña‐García, Adrian Iftene, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4394-4394
Open Access | Times Cited: 54
Introduction to MAchine Learning & Knowledge Extraction (MAKE)
Andreas Holzinger
Machine Learning and Knowledge Extraction (2017) Vol. 1, Iss. 1, pp. 1-20
Open Access | Times Cited: 54
Andreas Holzinger
Machine Learning and Knowledge Extraction (2017) Vol. 1, Iss. 1, pp. 1-20
Open Access | Times Cited: 54
Machine Learning for Health Informatics
Andreas Holzinger
Lecture notes in computer science (2016), pp. 1-24
Closed Access | Times Cited: 53
Andreas Holzinger
Lecture notes in computer science (2016), pp. 1-24
Closed Access | Times Cited: 53
Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach
Andreas Holzinger, Bernd Malle, Peter Kieseberg, et al.
Lecture notes in computer science (2017), pp. 13-50
Closed Access | Times Cited: 32
Andreas Holzinger, Bernd Malle, Peter Kieseberg, et al.
Lecture notes in computer science (2017), pp. 13-50
Closed Access | Times Cited: 32
Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning
Sebastian Robert, Sebastian Büttner, Carsten Röcker, et al.
Lecture notes in computer science (2016), pp. 357-376
Closed Access | Times Cited: 26
Sebastian Robert, Sebastian Büttner, Carsten Röcker, et al.
Lecture notes in computer science (2016), pp. 357-376
Closed Access | Times Cited: 26
Towards Integrative Machine Learning and Knowledge Extraction
Andreas Holzinger, Randy Goebel, Vasile Palade, et al.
Lecture notes in computer science (2017), pp. 1-12
Closed Access | Times Cited: 26
Andreas Holzinger, Randy Goebel, Vasile Palade, et al.
Lecture notes in computer science (2017), pp. 1-12
Closed Access | Times Cited: 26
An investigation of interpretability techniques for deep learning in predictive process analytic
Catarina Moreira, Renuka Sindhgatta Rajan, Chun Ouyang, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3
Catarina Moreira, Renuka Sindhgatta Rajan, Chun Ouyang, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3
EDDAMAP: efficient data-dependent approach for monitoring asymptomatic patient
Daniel Adu-Gyamfi, Fengli Zhang, Albert Kofi Kwansah Ansah
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 2
Daniel Adu-Gyamfi, Fengli Zhang, Albert Kofi Kwansah Ansah
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 2
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
Antonio Jesús Banegas‐Luna, Jorge Peña‐García, Adrian Iftene, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Antonio Jesús Banegas‐Luna, Jorge Peña‐García, Adrian Iftene, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
