15 citations · 22 across the 6 of their papers we have counts for
6 papers
Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
Mahdi Pourmirzaei, Farzaneh Esmaili, Salhuldin Alqarghuli +6
The diverse nature of protein prediction tasks has traditionally necessitated specialized models, hindering the development of broadly applicable and computationally efficient Prot…
A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Sites Prediction
Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi +2
Post-translational modifications (PTMs) have key roles in extending the functional diversity of proteins and as a result, regulating diverse cellular processes in prokaryotic and e…
Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation
Mahdi Pourmirzaei, Gholam Ali Montazer, Ebrahim Mousavi
In recent years, the main problem in e-learning has shifted from analyzing content to personalization of learning environment by Intelligence Tutoring Systems (ITSs). Therefore, by…
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi +1
Post-translational modifications (PTMs) have vital roles in extending the functional diversity of proteins and as a result, regulating diverse cellular processes in prokaryotic and…
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
Mahdi Pourmirzaei, Farzaneh Esmaili, Ebrahim Mousavi +2
The cost of head pose labeling is the main challenge of improving the fine-grained Head Pose Estimation (HPE). Although Self-Supervised Learning (SSL) can be a solution to the lack…
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Mahdi Pourmirzaei, Gholam Ali Montazer, Farzaneh Esmaili
Facial emotion recognition (FER) is a fine-grained problem where the value of transfer learning is often assumed. We first quantify this assumption and show that, on AffectNet, tra…