Open Access Helper

OpenAlex Citation Counts

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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:

Bayesian Neural Networks: An Introduction and Survey
Ethan Goan, Clinton Fookes
Lecture notes in mathematics (2020), pp. 45-87
Closed Access | Times Cited: 148

Showing 76-100 of 148 citing articles:

A Review of Variational Inference for Bayesian Neural Network
Bakhouya Mostafa, Hassan Ramchoun, Hadda Mohammed, et al.
Lecture notes in networks and systems (2023), pp. 231-243
Closed Access | Times Cited: 3
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference
Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, et al.
(2023), pp. 9477-9481
Open Access | Times Cited: 3
Accounting for Machine Learning Prediction Errors in Design
Xiaoping Du
Journal of Mechanical Design (2023) Vol. 146, Iss. 5
Closed Access | Times Cited: 3
Tau Lepton Identification With Graph Neural Networks at Future Electron–Positron Colliders
S. Giagu, Luca Torresi, Matteo Di Filippo
Frontiers in Physics (2022) Vol. 10
Open Access | Times Cited: 5
The missing radial velocities of Gaia: Blind predictions for DR3
Aneesh P. Naik, Axel Widmark
Monthly Notices of the Royal Astronomical Society (2022) Vol. 516, Iss. 3, pp. 3398-3410
Open Access | Times Cited: 5
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang, Mike Wu, Jasmine Bayrooti, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 7
Recommendation Uncertainty in Implicit Feedback Recommender Systems
Victor Coscrato, Derek Bridge
Communications in computer and information science (2023), pp. 279-291
Open Access | Times Cited: 2
Metrics for Evaluating Machine Learning Models Prediction Accuracy and Uncertainty
Yushi Deng, Mario R. Eden, Selen Cremaschi
Computer-aided chemical engineering/Computer aided chemical engineering (2023), pp. 1325-1330
Closed Access | Times Cited: 2
Comparative analysis of neural networks techniques to forecast Airfare Prices
Alessandro Aliberti, Xin Yao, Alessio Viticchié, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 1023-1029
Closed Access | Times Cited: 2
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Chan Kim, Jaekyung Cho, Christophe Bobda, et al.
(2023), pp. 3884-3892
Open Access | Times Cited: 2
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking
Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, et al.
Lecture notes in computer science (2023), pp. 45-65
Closed Access | Times Cited: 2
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks
Ahmet F. Budak, Keren Zhu, David Z. Pan
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (2023), pp. 1-8
Open Access | Times Cited: 2
Trustworthy Medical Segmentation with Uncertainty Estimation.
Giuseppina Carannante, Dimah Dera, Nidhal Bouaynaya, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Improved conformalized quantile regression
Martim Sousa, Ana Maria Tomé, José E. Moreira
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Uncertainty-aware Evaluation of Machine Learning Performance in binary Classification Tasks
Leo Sperling, Simon Lämmer, Hans Hagen, et al.
Journal of WSCG (2022) Vol. 30, Iss. 1-2, pp. 63-71
Open Access | Times Cited: 3
Application of Machine Learning Technology in the Prediction of ADME- Related Pharmacokinetic Parameters
Ying Wang, Yonghua Zhan, Changhu Liu, et al.
Current Medicinal Chemistry (2022) Vol. 30, Iss. 17, pp. 1945-1962
Closed Access | Times Cited: 3
Low-shot, Semi-supervised, Uncertainty Quantification Enabled Model for High Consequence HSI Data
Kathryn Gray, Daniel Ries, Joshua Zollweg
2022 IEEE Aerospace Conference (AERO) (2022), pp. 1-8
Open Access | Times Cited: 3
Empirical prior based probabilistic inference neural network for policy learning
Yang Li, Shijie Guo, Zhongxue Gan
Information Sciences (2022) Vol. 615, pp. 678-699
Closed Access | Times Cited: 3
Cotton Yield Prediction Utilizing Unmanned Aerial Vehicles (Uav) and Bayesian Neural Networks
Lei Zhao, Mahendra Bhandari, Dugan Um, et al.
(2024)
Closed Access
Comment on egusphere-2023-2831

(2024)
Open Access
Comment on egusphere-2023-2831

(2024)
Open Access
Comment on egusphere-2023-2831

(2024)
Open Access
Reply on CC1
Wenwen Li
(2024)
Open Access
Reply on RC2
Wenwen Li
(2024)
Open Access
Scalable Bayesian p-generalized probit and logistic regression
Zeyu Ding, Simon Omlor, Katja Ickstadt, et al.
Advances in Data Analysis and Classification (2024)
Open Access

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