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2020 – today
- 2023
[j1]Marian Petrica, Ionel Popescu:
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks. BioData Min. 16(1) (2023)- [i7]Vlad-Raul Constantinescu, Ionel Popescu:
Interpolation property of shallow neural networks. CoRR abs/2304.10552 (2023) - 2022
- [i6]Juntao Duan, Ionel Popescu, Heinrich Matzinger:
Recover the spectrum of covariance matrix: a non-asymptotic iterative method. CoRR abs/2201.00230 (2022) - [i5]Marian Petrica, Ionel Popescu:
A Dynamical Estimation and Prediction for Covid19 on Romania using ensemble neural networks. CoRR abs/2203.00407 (2022) - [i4]Lucian Beznea, Iulian Cîmpean, Oana Lupascu-Stamate, Ionel Popescu, Arghir Zarnescu:
From Monte Carlo to neural networks approximations of boundary value problems. CoRR abs/2209.01432 (2022) - 2020
- [i3]Radu D. Stochitoiu, Traian Rebedea, Ionel Popescu, Marius Leordeanu:
A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania. CoRR abs/2006.12926 (2020)
2010 – 2019
- 2019
- [c1]Jiangning Chen, Zhibo Dai, Juntao Duan
, Heinrich Matzinger, Ionel Popescu:
Naive Bayes with Correlation Factor for Text Classification Problem. ICMLA 2019: 1051-1056 - [i2]Jiangning Chen, Zhibo Dai, Juntao Duan, Heinrich Matzinger, Ionel Popescu:
Naive Bayes with Correlation Factor for Text Classification Problem. CoRR abs/1905.06115 (2019) - [i1]Jiangning Chen, Zhibo Dai, Juntao Duan, Qianli Hu, Ruilin Li, Heinrich Matzinger, Ionel Popescu, Haoyan Zhai:
A cost-reducing partial labeling estimator in text classification problem. CoRR abs/1906.03768 (2019)
Coauthor Index
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