OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Foundations of Machine Learning
Vishal Goar, Nagendra Singh Yadav
Advances in business information systems and analytics book series (2024), pp. 25-48
Closed Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

Bounding Random Test Set Size with Computational Learning Theory
Neil Walkinshaw, Michael S. Foster, José Miguel Rojas, et al.
Proceedings of the ACM on software engineering. (2024) Vol. 1, Iss. FSE, pp. 2538-2560
Open Access

Machine Learning and Deep Learning to Predict Malaysian Workers' Response to Different Mental Health Therapies
Nurnadiah Zamri, Samhani Ismail, Azimah Ismail, et al.
(2024)
Closed Access

Scalable Rule Lists Learning with Sampling
Leonardo Pellegrina, Fabio Vandin
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2352-2363
Open Access

Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds
Longfei Yan, Hui Ma, Gang Chen
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 988-997
Closed Access

Predicting Cascading Failures with a Hyperparametric Diffusion Model
Bin Xiang, Bogdan Cautis, Xiaokui Xiao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3495-3506
Open Access

Distributional Network of Networks for Modeling Data Heterogeneity
Jun Wu, Jingrui He, Hanghang Tong
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3379-3390
Open Access

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes
Jiayu Hu, Senlin Shu, Beibei Li, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Open Access

OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
Ding Zou, Lu Wei, Zhibo Zhu, et al.
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 12, pp. 4090-4103
Closed Access

Chapter 8. Digital arms for digital consumer harms?
Constanța Roșca
Maastricht University Press eBooks (2024)
Closed Access

A Robust Backward Compatibility Metric for Model Retraining
Ryuta Matsuno, Keita Sakuma
(2023), pp. 4190-4194
Closed Access | Times Cited: 1

Statistical reasoning about programs
Marcel Böhme
(2022), pp. 76-80
Open Access | Times Cited: 2

Enhancing SVMs with Problem Context Aware Pipeline
Zeyi Wen, Zhishang Zhou, Hanfeng Liu, et al.
(2021), pp. 1821-1829
Open Access | Times Cited: 2

From Online to Non-i.i.d. Batch Learning
Yufei Tao, Shangqi Lu
(2020), pp. 328-337
Closed Access | Times Cited: 1

Randomized Policy Optimization for Optimal Stopping
Xinyi Guan, Velibor V. Mišić
SSRN Electronic Journal (2022)
Open Access | Times Cited: 1

An approach for integrating statistical decision-support data with fuzzy action rules
Ossi Nykänen
(2004), pp. 156-161
Closed Access | Times Cited: 1

New Algorithms for Monotone Classification
Yufei Tao, Yu Wang
(2021), pp. 260-272
Closed Access | Times Cited: 1

Enhanced Decision Tree Algorithm for Data Streams using adaptation of Concept Drift
Bhavkaran Singh Walia, Navan Preet Singh
IOSR Journal of Computer Engineering (2014) Vol. 16, Iss. 5, pp. 61-64
Open Access

Scroll to top