Numerical solution of the second kind integral equations using radial basis function networks. - Ahmad Golbabai; Sattar Seifollahi (Appl. Math. Comput., 2006)

An iterative solution for the second kind integral equations using radial basis functions. - Ahmad Golbabai; Sattar Seifollahi (Appl. Math. Comput., 2006)

Radial basis function networks in the numerical solution of linear integro-differential equations. - Ahmad Golbabai; Sattar Seifollahi (Appl. Math. Comput., 2007)

Solving a system of nonlinear integral equations by an RBF network. - Ahmad Golbabai; Musa A. Mammadov; Sattar Seifollahi (Comput. Math. Appl., 2009)

A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. - John Yearwood; Adil M. Bagirov; Sattar Seifollahi (AusDM, 2011)

Novel weighting in single hidden layer feedforward neural networks for data classification. - Sattar Seifollahi; John Yearwood; Bahadorreza Ofoghi (Comput. Math. Appl., 2012)

Attribute weighted Naive Bayes classifier using a local optimization. - Sona Taheri; John Yearwood; Musa A. Mammadov; Sattar Seifollahi (Neural Comput. Appl., 2014)

A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge. - Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi (AusDM, 2017)

Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails. - Sattar Seifollahi; Adil M. Bagirov; Robert Layton; Iqbal Gondal (Neural Process. Lett., 2017)

Taxonomy-Augmented Features for Document Clustering. - Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi; Bernie Kruger (AusDM, 2018)

SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. - Adil M. Bagirov; Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi; Bernie Kruger (CICLing (2), 2018)

Taxonomy-Based Feature Extraction for Document Classification, Clustering and Semantic Analysis. - Sattar Seifollahi; Massimo Piccardi (CICLing (2), 2019)

A simulated annealing-based maximum-margin clustering algorithm. - Sattar Seifollahi; Adil M. Bagirov; Ehsan Zare Borzeshi; Massimo Piccardi (Comput. Intell., 2019)

Word embedding-based techniques for text clustering and topic modelling with application in the healthcare domain - Sattar Seifollahi (2019)

An Embedding-Based Topic Model for Document Classification. - Sattar Seifollahi; Massimo Piccardi; Alireza Jolfaei (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

A Generative Adversarial Network Enabled Deep Distributional Reinforcement Learning for Transmission Scheduling in Internet of Vehicles. - Faisal Naeem; Sattar Seifollahi; Zhenyu Zhou 001; Muhammad Tariq (IEEE Trans. Intell. Transp. Syst., 2021)

Hospital Readmission Prediction Using Clinical Admission Notes. - Nischay Bikram Thapa; Sattar Seifollahi; Sona Taheri (ACSW, 2022)

Forecasting Bitcoin returns with long short-term memory networks and wavelet decomposition: A comparison of several market determinants. - Navid Parvini; Mahsa Abdollahi; Sattar Seifollahi; Davood Ahmadian (Appl. Soft Comput., 2022)

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. - Tabinda Sarwar; Sattar Seifollahi; Jeffrey Chan; Xiuzhen Zhang 001; Vural Aksakalli; Irene Lena Hudson; Karin Verspoor; Lawrence Cavedon (ACM Comput. Surv., 2023)

A Weak-Region Enhanced Bayesian Classification for Spam Content-Based Filtering. - Vahid Nosrati; Mohsen Rahmani; Alireza Jolfaei; Sattar Seifollahi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

A Generative Frailty Index based Explainable Approach for Hospital Readmission Prediction. - Seyed Hossein Parizad; Sattar Seifollahi; Sona Taheri; Mali Abdollahian (ISCMI, 2024)