Mihai Teletin

According to our database, Mihai Teletin authored at least 11 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders.

Gabriela Czibula, Carmina Codre, Mihai Teletin

Expert Syst. Appl., 2021

2020

CVSimP: An approach for predicting proteins' structural similarity using one-shot learning.

Mihai Teletin, Gabriela Czibula

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

2019

Lightweight models for fruits recognition.

Mihai Teletin, Lorand Dobai

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

Using clustering models for uncovering proteins' structural similarity.

Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders.

Mihai Teletin, Gabriela Czibula, Carmina Codre

Proceedings of the Knowledge Science, Engineering and Management, 2019

A document detection technique using convolutional neural networks for optical character recognition systems.

Lorand Dobai, Mihai Teletin

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data.

Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

Using unsupervised learning methods for enhancing protein structure insight.

Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Deep Autoencoders for Additional Insight into Protein Dynamics.

Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016

Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology.

Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin

Proceedings of the Soft Computing Applications, 2016

Machine learning techniques for age at death estimation from long bone lengths.

Vlad-Sebastian Ionescu, Mihai Teletin, Estera-Maria Voiculescu

Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016