Scientific paper - Original scientific paper
Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions
Entropy, 23 (2021), 2; 143. https://doi.org/10.3390/e23020143

Barić, Domjan; Fumić, Petar; Horvatić, Davor; Lipić, Tomislav

Cite this document

Barić, D., Fumić, P., Horvatić, D. & Lipić, T. (2021). Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions. Entropy, 23. (2). doi: 10.3390/e23020143

Barić, Domjan, et al. "Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions." Entropy, vol. 23, no. 2, 2021. https://doi.org/10.3390/e23020143

Barić, Domjan, Petar Fumić, Davor Horvatić and Tomislav Lipić. "Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions." Entropy 23, no. 2 (2021). https://doi.org/10.3390/e23020143

Barić, D., et al. (2021) 'Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions', Entropy, 23(2). doi: 10.3390/e23020143

Barić D, Fumić P, Horvatić D, Lipić T. Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions. Entropy [Internet]. 2021 January 25 [cited 2024 October 05];23(2). doi: 10.3390/e23020143

D. Barić, P. Fumić, D. Horvatić and T. Lipić, "Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions", Entropy, vol. 23, no. 2, January 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:063684. [Accessed: 05 October 2024]

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