activity
20122024
most citedSimilarity of Polygonal Curves in the Presence of Outliers

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2024

Vocal Melody Construction for Persian Lyrics Using LSTM Recurrent Neural Networks

Farshad Jafari, Farzad Didehvar, Amin Gheibi

The present paper investigated automatic melody construction for Persian lyrics as an input. It was assumed that there is a phonological correlation between the lyric syllables and…

cs.LG2024

Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models

Mohammad Lashkari, Amin Gheibi

The generalization performance of deep neural networks in classification tasks is a major concern in machine learning research. Despite widespread techniques used to diminish the o…

cs.LG2023

Lipschitzness Effect of a Loss Function on Generalization Performance of Deep Neural Networks Trained by Adam and AdamW Optimizers

Mohammad Lashkari, Amin Gheibi

The generalization performance of deep neural networks with regard to the optimization algorithm is one of the major concerns in machine learning. This performance can be affected…

cs.CL2021

PREDICT: Persian Reverse Dictionary

Arman Malekzadeh, Amin Gheibi, Ali Mohades

Finding the appropriate words to convey concepts (i.e., lexical access) is essential for effective communication. Reverse dictionaries fulfill this need by helping individuals to f…

cs.CG2012★ 2 cited

Similarity of Polygonal Curves in the Presence of Outliers

Jean-Lou De Carufel, Amin Gheibi, Anil Maheshwari +2

The Fréchet distance is a well studied and commonly used measure to capture the similarity of polygonal curves. Unfortunately, it exhibits a high sensitivity to the presence of out…