15 citations · 18 across the 5 of their papers we have counts for
5 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…
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…