Sattar Seifollahi

Orcid: 0000-0002-5325-9724

According to our database1, Sattar Seifollahi authored at least 20 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Weak-Region Enhanced Bayesian Classification for Spam Content-Based Filtering.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges.
ACM Comput. Surv., 2023

2022
Forecasting Bitcoin returns with long short-term memory networks and wavelet decomposition: A comparison of several market determinants.
Appl. Soft Comput., 2022

Hospital Readmission Prediction Using Clinical Admission Notes.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021
A Generative Adversarial Network Enabled Deep Distributional Reinforcement Learning for Transmission Scheduling in Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

An Embedding-Based Topic Model for Document Classification.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

2019
Word embedding-based techniques for text clustering and topic modelling with application in the healthcare domain
PhD thesis, 2019

A simulated annealing-based maximum-margin clustering algorithm.
Comput. Intell., 2019

Taxonomy-Based Feature Extraction for Document Classification, Clustering and Semantic Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018
SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Taxonomy-Augmented Features for Document Clustering.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails.
Neural Process. Lett., 2017

A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge.
Proceedings of the Data Mining, 2017

2014
Attribute weighted Naive Bayes classifier using a local optimization.
Neural Comput. Appl., 2014

2012
Novel weighting in single hidden layer feedforward neural networks for data classification.
Comput. Math. Appl., 2012

2011
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2009
Solving a system of nonlinear integral equations by an RBF network.
Comput. Math. Appl., 2009

2007
Radial basis function networks in the numerical solution of linear integro-differential equations.
Appl. Math. Comput., 2007

2006
An iterative solution for the second kind integral equations using radial basis functions.
Appl. Math. Comput., 2006

Numerical solution of the second kind integral equations using radial basis function networks.
Appl. Math. Comput., 2006


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