output
20192024
most citedMelody Generation using an Interactive Evolutionary Algorithm

14 citations

6 papers

cs.CL2024

Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations

Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani +3

Semantic Textual Relatedness holds significant relevance in Natural Language Processing, finding applications across various domains. Traditionally, approaches to STR have relied o…

eess.SP2021

Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

Amirhossein Shaghaghi, Abolfazl Zakeri, Nader Mokari +3

In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based Proactive Failure Recovery framework called ZT-PFR for stateful network function virtualization (NFV…

eess.AS2020

Robust Audio Watermarking Using Graph-based Transform and Singular Value Decomposition

Majid Farzaneh, Rahil Mahdian Toroghi

Graph-based Transform (GT) has been recently leveraged successfully in the signal processing domain, specifically for compression purposes. In this paper, we employ the GBT, as wel…

cs.CV2019★ 9 cited

Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing

Ali Ghofrani, Rahil Mahdian Toroghi

In this paper, the problem of handwritten digit recognition has been addressed. However, the underlying language is Persian/Arabic, and the system with which this task is a capsule…

cs.NE2019★ 14 cited

Melody Generation using an Interactive Evolutionary Algorithm

Majid Farzaneh, Rahil Mahdian Toroghi

Music generation with the aid of computers has been recently grabbed the attention of many scientists in the area of artificial intelligence. Deep learning techniques have evolved…

eess.AS2019★ 6 cited

Audio Compression Using Graph-based Transform

Majid Farzaneh, Rahil Mahdian, Mohammad Asgari

Graph-based Transform is one of the recent transform coding methods which has been used successfully in the state-of-art data decorrelation applications. In this paper, we propose…