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2020 – today
- 2021
[j1]Gabriela Czibula, Carmina Codre, Mihai Teletin:
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders. Expert Syst. Appl. 166: 114070 (2021)- 2020
- [c10]Mihai Teletin, Gabriela Czibula:
CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. SACI 2020: 111-116
2010 – 2019
- 2019
- [c9]Lorand Dobai, Mihai Teletin:
A document detection technique using convolutional neural networks for optical character recognition systems. ESANN 2019 - [c8]Mihai Teletin
, Gabriela Czibula, Carmina Codre:
AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. KSEM (2) 2019: 49-54 - [c7]Mihai Teletin, Lorand Dobai:
Lightweight models for fruits recognition. SACI 2019: 69-74 - [c6]Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor:
Using clustering models for uncovering proteins' structural similarity. SACI 2019: 185-190 - 2018
- [c5]Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini:
Deep Autoencoders for Additional Insight into Protein Dynamics. ICANN (2) 2018: 79-89 - [c4]Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor:
Using unsupervised learning methods for enhancing protein structure insight. KES 2018: 19-28 - [c3]Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin:
Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. SACI 2018: 533-538 - 2016
- [c2]Vlad-Sebastian Ionescu, Mihai Teletin, Estera-Maria Voiculescu:
Machine learning techniques for age at death estimation from long bone lengths. SACI 2016: 457-462 - [c1]Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin:
Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. SOFA (2) 2016: 71-86
Coauthor Index
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