User profiles for Vali Derhami

Dr. Vali Derhami

Professor of Computer Engineering Department, Yazd University
Verified email at yazd.ac.ir
Cited by 1144

Intrusion detection and attack classification using feed-forward neural network

…, S Khanchi, M Shetabi, V Derhami - … on computer and …, 2010 - ieeexplore.ieee.org
Fast Internet growth and increase in number of users make network security essential in
recent decades. Lately one of the most hot research topics in network security is intrusion …

An automatic method for CVSS score prediction using vulnerabilities description

…, M Ghasemzadeh, V Derhami - Journal of Intelligent & …, 2016 - content.iospress.com
In this paper we introduce an objective method for CVSS score calculation. CVSS is a well
known and mostly used method for giving priority to software vulnerabilities. Currently it is …

Supervised fuzzy reinforcement learning for robot navigation

F Fathinezhad, V Derhami, M Rezaeian - Applied Soft Computing, 2016 - Elsevier
This paper addresses a new method for combination of supervised learning and reinforcement
learning (RL). Applying supervised learning in robot navigation encounters serious …

Ensemble of filter-based rankers to guide an epsilon-greedy swarm optimizer for high-dimensional feature subset selection

MB Dowlatshahi, V Derhami, H Nezamabadi-pour - Information, 2017 - mdpi.com
The main purpose of feature subset selection is to remove irrelevant and redundant features
from data, so that learning algorithms can be trained by a subset of relevant features. So far, …

Applying reinforcement learning for web pages ranking algorithms

V Derhami, E Khodadadian, M Ghasemzadeh… - Applied Soft …, 2013 - Elsevier
Ranking web pages for presenting the most relevant web pages to user's queries is one of
the main issues in any search engine. In this paper, two new ranking algorithms are offered, …

Long short-term memory neural networks for modeling nonlinear electronic components

…, SA Sadrossadat, V Derhami - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a new macromodeling approach for nonlinear electronic components
and circuits based on long short-term memory (LSTM) neural network. LSTM proposes a more …

A novel three-stage filter-wrapper framework for miRNA subset selection in cancer classification

MB Dowlatshahi, V Derhami, H Nezamabadi-pour - Informatics, 2018 - mdpi.com
… Mohammad Bagher Dowlatshahi, Vali Derhami, and Hossein Nezamabadi-pour proposed
… , and finally Mohammad Bagher Dowlatshahi and Vali Derhami wrote the manuscript. All …

Fuzzy Sarsa learning and the proof of existence of its stationary points

V Derhami, VJ Majd… - Asian Journal of …, 2008 - Wiley Online Library
This paper provides a new Fuzzy Reinforcement Learning (FRL) algorithm based on critic‐only
architecture. The proposed algorithm, called Fuzzy Sarsa Learning (FSL), tunes the …

Winner determination in combinatorial auctions using hybrid ant colony optimization and multi-neighborhood local search

MB Dowlatshahi, V Derhami - Journal of AI and Data Mining, 2017 - jad.shahroodut.ac.ir
A combinatorial auction is an auction where the bidders have the choice to bid on bundles
of items. The WDP in combinatorial auctions is the problem of finding winning bids that …

QoS-Based web service composition based on genetic algorithm

M AllamehAmiri, V Derhami… - Journal of AI and Data …, 2013 - jad.shahroodut.ac.ir
Quality of service (QoS) is an important issue in the design and management of web service
composition. QoS in web services consists of various non-functional factors, such as …