Pareto Front Based Realistic Soft Real-Time Task Scheduling with Multi-objective Genetic Algorithm in Unstructured Heterogeneous Distributed System. - Nafiseh Sedaghat; Hamid Tabatabaee Yazdi; Mohammad R. Akbarzadeh-Totonchi (GPC, 2010)

An accurate fuzzy edge detection method using wavelet details subimages. - Nafiseh Sedaghat; Hamidreza Pourreza (ICDIP, 2010)

Mobile robot path planning by new structured multi-objective genetic algorithm. - Nafiseh Sedaghat (SoCPaR, 2011)

Speeding up Dualization in the Fredman-Khachiyan Algorithm B. - Nafiseh Sedaghat; Tamon Stephen; Leonid Chindelevitch (SEA, 2018)

Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction. - Nafiseh Sedaghat; Mahmood Fathy; Mohammad Hossein Modarressi; Ali Shojaie (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

You are what you eat: Sequence analysis reveals how plant microRNAs may regulate the human genome. - Bahareh Kashani; Mansoor Hasani Bidgoli; Seyed Abolfazl Motahari; Nafiseh Sedaghat; Mohammad Hossein Modarressi (Comput. Biol. Medicine, 2019)

An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis. - Hooman Zabeti; Nick C. Dexter; Amir Hosein Safari; Nafiseh Sedaghat; Maxwell W. Libbrecht; Leonid Chindelevitch (WABI, 2020)

Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network. - Amir Hosein Safari; Nafiseh Sedaghat; Hooman Zabeti; Alpha Forna; Leonid Chindelevitch; Maxwell W. Libbrecht (BCB, 2021)

INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis. - Hooman Zabeti; Nick C. Dexter; Amir Hosein Safari; Nafiseh Sedaghat; Maxwell W. Libbrecht; Leonid Chindelevitch (Algorithms Mol. Biol., 2021)

Speeding Up the Structural Analysis of Metabolic Network Models Using the Fredman-Khachiyan Algorithm B. - Nafiseh Sedaghat; Tamon Stephen; Leonid Chindelevitch (J. Comput. Biol., 2023)