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2020 – today
- 2023
[j13]Tabinda Sarwar
, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Lena Hudson, Karin Verspoor, Lawrence Cavedon:
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. ACM Comput. Surv. 55(2): 33:1-33:40 (2023)- [j12]Vahid Nosrati, Mohsen Rahmani, Alireza Jolfaei, Sattar Seifollahi:
A Weak-Region Enhanced Bayesian Classification for Spam Content-Based Filtering. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 72:1-72:18 (2023) - 2022
- [j11]Navid Parvini, Mahsa Abdollahi, Sattar Seifollahi, Davood Ahmadian:
Forecasting Bitcoin returns with long short-term memory networks and wavelet decomposition: A comparison of several market determinants. Appl. Soft Comput. 121: 108707 (2022) - [c6]Nischay Bikram Thapa, Sattar Seifollahi, Sona Taheri:
Hospital Readmission Prediction Using Clinical Admission Notes. ACSW 2022: 193-199 - 2021
- [j10]Sattar Seifollahi, Massimo Piccardi, Alireza Jolfaei:
An Embedding-Based Topic Model for Document Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(3): 52:1-52:13 (2021) - [j9]Faisal Naeem, Sattar Seifollahi, Zhenyu Zhou, Muhammad Tariq:
A Generative Adversarial Network Enabled Deep Distributional Reinforcement Learning for Transmission Scheduling in Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 22(7): 4550-4559 (2021)
2010 – 2019
- 2019
- [b1]Sattar Seifollahi:
Word embedding-based techniques for text clustering and topic modelling with application in the healthcare domain. University of Technology Sydney, Australia, 2019 - [j8]Sattar Seifollahi, Adil M. Bagirov, Ehsan Zare Borzeshi, Massimo Piccardi:
A simulated annealing-based maximum-margin clustering algorithm. Comput. Intell. 35(1): 23-41 (2019) - [c5]Sattar Seifollahi, Massimo Piccardi:
Taxonomy-Based Feature Extraction for Document Classification, Clustering and Semantic Analysis. CICLing (2) 2019: 575-586 - 2018
- [c4]Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger:
Taxonomy-Augmented Features for Document Clustering. AusDM 2018: 241-252 - [c3]Adil M. Bagirov, Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger:
SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. CICLing (2) 2018: 314-328 - 2017
- [j7]Sattar Seifollahi, Adil M. Bagirov, Robert Layton, Iqbal Gondal:
Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails. Neural Process. Lett. 46(2): 411-425 (2017) - [c2]Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi:
A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge. AusDM 2017: 265-276 - 2014
- [j6]Sona Taheri, John Yearwood, Musa A. Mammadov, Sattar Seifollahi:
Attribute weighted Naive Bayes classifier using a local optimization. Neural Comput. Appl. 24(5): 995-1002 (2014) - 2012
- [j5]Sattar Seifollahi, John Yearwood, Bahadorreza Ofoghi:
Novel weighting in single hidden layer feedforward neural networks for data classification. Comput. Math. Appl. 64(2): 128-136 (2012) - 2011
- [c1]John Yearwood, Adil M. Bagirov, Sattar Seifollahi:
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. AusDM 2011: 205-210
2000 – 2009
- 2009
- [j4]Ahmad Golbabai, Musa A. Mammadov, Sattar Seifollahi:
Solving a system of nonlinear integral equations by an RBF network. Comput. Math. Appl. 57(10): 1651-1658 (2009) - 2007
- [j3]Ahmad Golbabai, Sattar Seifollahi:
Radial basis function networks in the numerical solution of linear integro-differential equations. Appl. Math. Comput. 188(1): 427-432 (2007) - 2006
- [j2]Ahmad Golbabai, Sattar Seifollahi:
Numerical solution of the second kind integral equations using radial basis function networks. Appl. Math. Comput. 174(2): 877-883 (2006) - [j1]Ahmad Golbabai, Sattar Seifollahi:
An iterative solution for the second kind integral equations using radial basis functions. Appl. Math. Comput. 181(2): 903-907 (2006)
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