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:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 3174-3185
Open Access | Times Cited: 8
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 3174-3185
Open Access | Times Cited: 8
Showing 8 citing articles:
Multi-view Stacked CNN-BiLSTM (MvS CNN-BiLSTM) for urban P M 2 . 5
Subham Kumar, Vipin Kumar
Journal of Cleaner Production (2024) Vol. 444, pp. 141259-141259
Closed Access | Times Cited: 16
Subham Kumar, Vipin Kumar
Journal of Cleaner Production (2024) Vol. 444, pp. 141259-141259
Closed Access | Times Cited: 16
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4095-4106
Open Access | Times Cited: 9
Xu Liu, Junfeng Hu, Yuan Li, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4095-4106
Open Access | Times Cited: 9
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3096-3105
Open Access | Times Cited: 6
Zexin Wang, Changhua Pei, Minghua Ma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3096-3105
Open Access | Times Cited: 6
EINNs: Epidemiologically-Informed Neural Networks
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14453-14460
Open Access | Times Cited: 12
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14453-14460
Open Access | Times Cited: 12
Machine learning for data-centric epidemic forecasting
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context
João Palet, Vasco Manquinho, Rui Henriques
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 1, pp. 315-341
Open Access | Times Cited: 4
João Palet, Vasco Manquinho, Rui Henriques
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 1, pp. 315-341
Open Access | Times Cited: 4
Uncertainty Quantification in Deep Learning
Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5809-5810
Closed Access | Times Cited: 3
Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5809-5810
Closed Access | Times Cited: 3
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams
K. Nakamura, Yasuko Matsubara, Koki Kawabata, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 1638-1649
Open Access | Times Cited: 2
K. Nakamura, Yasuko Matsubara, Koki Kawabata, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 1638-1649
Open Access | Times Cited: 2
