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Andrei Mihai
Andrei Mihai
Teaching Assistant, Babeș-Bolyai University
在 ubbcluj.ro 的电子邮件经过验证
标题
引用次数
引用次数
年份
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction
G Czibula, A Mihai, LM Crivei
Procedia Computer Science 159, 20-29, 2019
492019
Right whale recognition using convolutional neural networks
A Polzounov, I Terpugova, D Skiparis, A Mihai
arXiv preprint arXiv:1604.05605, 2016
152016
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes
AI Albu, G Czibula, A Mihai, IG Czibula, S Burcea, A Mezghani
Remote Sensing 14 (16), 3890, 2022
102022
NowDeepN: An Ensemble of Deep Learning Models for Weather Nowcasting Based on Radar Products’ Values Prediction
G Czibula, A Mihai, E Mihuleţ
Applied Sciences 11 (1), 125, 2020
102020
AutoNowP: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction
G Czibula, A Mihai, AI Albu, IG Czibula, S Burcea, A Mezghani
Mathematics 9 (14), 1653, 2021
92021
Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes
G Czibula, A Mihai, E Mihuleţ, D Teodorovici
Procedia Computer Science 159, 48-57, 2019
92019
A study on applying relational association rule mining based classification for predicting the academic performance of students
LM Crivei, G Czibula, A Mihai
Knowledge Science, Engineering and Management: 12th International Conference …, 2019
82019
Analyzing meteorological data using unsupervised learning techniques
A Mihai, G Czibula, E Mihulet
2019 IEEE 15th International Conference on Intelligent Computer …, 2019
72019
XNow: A deep learning technique for nowcasting based on radar products’ values prediction
IA Socaci, G Czibula, VS Ionescu, A Mihai
2020 IEEE 14th International Symposium on Applied Computational Intelligence …, 2020
62020
RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products’ values
G Czibula, A Mihai, IG Czibula
Procedia Computer Science 176, 300-309, 2020
52020
Using self-organizing maps as unsupervised learning models for meteorological data mining
A Mihai
2020 IEEE 14th International Symposium on Applied Computational Intelligence …, 2020
22020
Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data
E Mihuleţ, S Burcea, A Mihai, G Czibula
Atmosphere 14 (1), 182, 2023
12023
Machine Learning Models for Weather Nowcasting
A Mihai
2021
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