Tino P - Search Results

1

Identification of Clinically Relevant HIV Vif Protein Motif Mutations through Machine Learning and Undersampling.

Altamirano-Flores JS, Alvarado-Hernández LÁ, Cuevas-Tello JC, Tino P, Guerra-Palomares SE, Garcia-Sepulveda CA. Altamirano-Flores JS, et al. Among authors: tino p. Cells. 2023 Feb 28;12(5):772. doi: 10.3390/cells12050772. Cells. 2023. PMID: 36899908 Free PMC article.

2

Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences.

Tino P, Köteles M. Tino P, et al. IEEE Trans Neural Netw. 1999;10(2):284-302. doi: 10.1109/72.750555. IEEE Trans Neural Netw. 1999. PMID: 18252527

3

Learning long-term dependencies in NARX recurrent neural networks.

Lin T, Horne BG, Tino P, Giles CL. Lin T, et al. Among authors: tino p. IEEE Trans Neural Netw. 1996;7(6):1329-38. doi: 10.1109/72.548162. IEEE Trans Neural Netw. 1996. PMID: 18263528

4

Incorporating privileged information through metric learning.

Fouad S, Tino P, Raychaudhury S, Schneider P. Fouad S, et al. Among authors: tino p. IEEE Trans Neural Netw Learn Syst. 2013 Jul;24(7):1086-98. doi: 10.1109/TNNLS.2013.2251470. IEEE Trans Neural Netw Learn Syst. 2013. PMID: 24808523

5

Ordinal regression based on learning vector quantization.

Tang F, Tiňo P. Tang F, et al. Among authors: tino p. Neural Netw. 2017 Sep;93:76-88. doi: 10.1016/j.neunet.2017.05.006. Epub 2017 May 9. Neural Netw. 2017. PMID: 28552507

6

Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.

Tang F, Feng H, Tino P, Si B, Ji D. Tang F, et al. Among authors: tino p. Neural Netw. 2021 Oct;142:105-118. doi: 10.1016/j.neunet.2021.04.024. Epub 2021 Apr 28. Neural Netw. 2021. PMID: 33984734 Free article.

7

Adaptive metric learning vector quantization for ordinal classification.

Fouad S, Tino P. Fouad S, et al. Among authors: tino p. Neural Comput. 2012 Nov;24(11):2825-51. doi: 10.1162/NECO_a_00358. Epub 2012 Aug 24. Neural Comput. 2012. PMID: 22920847

8

Learning pharmacokinetic models for in vivo glucocorticoid activation.

Bunte K, Smith DJ, Chappell MJ, Hassan-Smith ZK, Tomlinson JW, Arlt W, Tiňo P. Bunte K, et al. Among authors: tino p. J Theor Biol. 2018 Oct 14;455:222-231. doi: 10.1016/j.jtbi.2018.07.025. Epub 2018 Jul 23. J Theor Biol. 2018. PMID: 30048717 Free article. Clinical Trial.

9

Indefinite Proximity Learning: A Review.

Schleif FM, Tino P. Schleif FM, et al. Among authors: tino p. Neural Comput. 2015 Oct;27(10):2039-96. doi: 10.1162/NECO_a_00770. Epub 2015 Aug 27. Neural Comput. 2015. PMID: 26313601

10

The benefits of modeling slack variables in SVMs.

Tang F, Tiňo P, Gutiérrez PA, Chen H. Tang F, et al. Among authors: tino p. Neural Comput. 2015 Apr;27(4):954-81. doi: 10.1162/NECO_a_00714. Epub 2015 Mar 3. Neural Comput. 2015. PMID: 25734495

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