Deep autoencoders for additional insight into protein dynamics M Teletin, G Czibula, MI Bocicor, S Albert, A Pandini Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 12 | 2018 |
Analysing protein data using unsupervised learning techniques S Albert, M Teletin, G Czibula Int. J. Innovative Comput. Inf. Control 14 (3), 861-880, 2018 | 8 | 2018 |
Using unsupervised learning methods for enhancing protein structure insight M Teletin, G Czibula, S Albert, MI Bocicor Procedia Computer Science 126, 19-28, 2018 | 8 | 2018 |
Machine learning techniques for age at death estimation from long bone lengths VS Ionescu, M Teletin, EM Voiculescu 2016 IEEE 11th international symposium on applied computational intelligence …, 2016 | 8 | 2016 |
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders G Czibula, C Codre, M Teletin Expert Systems with Applications 166, 114070, 2021 | 6 | 2021 |
Using clustering models for uncovering proteins’ structural similarity M Teletin, G Czibula, MI Bocicor 2019 IEEE 13th International Symposium on Applied Computational Intelligence …, 2019 | 6 | 2019 |
AutoSimP: An Approach for Predicting Proteins’ Structural Similarities Using an Ensemble of Deep Autoencoders M Teletin, G Czibula, C Codre Knowledge Science, Engineering and Management: 12th International Conference …, 2019 | 5 | 2019 |
Using computational intelligence models for additional insight into protein structure MI BOCICOR, A PANDINI, G CZIBULA, S ALBERT, M TELETIN Studia Universitatis Babeș-Bolyai Informatica, 107-120, 2017 | 5 | 2017 |
Supervised learning techniques for body mass estimation in bioarchaeology VS Ionescu, G Czibula, M Teletin Soft Computing Applications: Proceedings of the 7th International Workshop …, 2018 | 4 | 2018 |
A document detection technique using convolutional neural networks for optical character recognition systems L Dobai, M Teletin European Symposium on Artificial Neural Networks, Computational Intelligence …, 2019 | 3 | 2019 |
CVSimP: An approach for predicting proteins’ structural similarity using one-shot learning M Teletin, G Czibula 2020 IEEE 14th International Symposium on Applied Computational Intelligence …, 2020 | 2 | 2020 |
Lightweight models for fruits recognition M Teletin, L Dobai 2019 IEEE 13th International Symposium on Applied Computational Intelligence …, 2019 | 2 | 2019 |
Analyzing the impact of protein representation on mining structural patterns from protein data S Albert, G Czibula, M Teletin 2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018 | 2 | 2018 |
Deep learning in computer vision M Teletin | | 2020 |
Machine learning techniques for detecting false signatures M Teletin Studia Universitatis Babes-Bolyai, Informatica 62 (1), 2017 | | 2017 |