Sattar Seifollahi

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Topics

Incorporation Of Prior Knowledge

Clustering Algorithm

Simulated Annealing

Top Venues

ACM Trans. Asian Low Resour. Lang. Inf. Process.

ACM Comput. Surv.

Publications

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) (2023)
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) (2023)
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 (2022)
Nischay Bikram Thapa, Sattar Seifollahi, Sona Taheri
Hospital Readmission Prediction Using Clinical Admission Notes. ACSW (2022)
Sattar Seifollahi, Massimo Piccardi, Alireza Jolfaei
An Embedding-Based Topic Model for Document Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (3) (2021)
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) (2021)
Sattar Seifollahi, Massimo Piccardi
Taxonomy-Based Feature Extraction for Document Classification, Clustering and Semantic Analysis. CICLing (2) (2019)
Sattar Seifollahi, Adil M. Bagirov, Ehsan Zare Borzeshi, Massimo Piccardi
A simulated annealing-based maximum-margin clustering algorithm. Comput. Intell. 35 (1) (2019)
Adil M. Bagirov, Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger
SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. CICLing (2) (2018)
Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger
Taxonomy-Augmented Features for Document Clustering. AusDM (2018)
Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi
A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge. AusDM (2017)
Sattar Seifollahi, Adil M. Bagirov, Robert Layton, Iqbal Gondal
Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails. Neural Process. Lett. 46 (2) (2017)
Sona Taheri, John Yearwood, Musa A. Mammadov, Sattar Seifollahi
Attribute weighted Naive Bayes classifier using a local optimization. Neural Comput. Appl. 24 (5) (2014)
Sattar Seifollahi, John Yearwood, Bahadorreza Ofoghi
Novel weighting in single hidden layer feedforward neural networks for data classification. Comput. Math. Appl. 64 (2) (2012)
John Yearwood, Adil M. Bagirov, Sattar Seifollahi
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. AusDM (2011)
A. Golbabai, Musa A. Mammadov, Sattar Seifollahi
Solving a system of nonlinear integral equations by an RBF network. Comput. Math. Appl. 57 (10) (2009)
A. Golbabai, Sattar Seifollahi
Radial basis function networks in the numerical solution of linear integro-differential equations. Appl. Math. Comput. 188 (1) (2007)
A. Golbabai, Sattar Seifollahi
Numerical solution of the second kind integral equations using radial basis function networks. Appl. Math. Comput. 174 (2) (2006)
A. Golbabai, Sattar Seifollahi
An iterative solution for the second kind integral equations using radial basis functions. Appl. Math. Comput. 181 (2) (2006)