| 2020 | SACI | CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. | Mihai Teletin, Gabriela Czibula |
| 2019 | ESANN | A document detection technique using convolutional neural networks for optical character recognition systems. | Lorand Dobai, Mihai Teletin |
| 2019 | KSEM | AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. | Mihai Teletin, Gabriela Czibula, Carmina Codre |
| 2019 | SACI | Using clustering models for uncovering proteins' structural similarity. | Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor |
| 2019 | SACI | Lightweight models for fruits recognition. | Mihai Teletin, Lorand Dobai |
| 2018 | ICANN | Deep Autoencoders for Additional Insight into Protein Dynamics. | Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini |
| 2018 | KES | Using unsupervised learning methods for enhancing protein structure insight. | Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor |
| 2018 | SACI | Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. | Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin |
| 2016 | SACI | Machine learning techniques for age at death estimation from long bone lengths. | Vlad-Sebastian Ionescu, Mihai Teletin, Estera-Maria Voiculescu |
| 2016 | SOFA | Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. | Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin |