SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data. - Molood Barati; Quan Bai 001; Qing Liu 001 (PRICAI, 2016)

Mining semantic association rules from RDF data. - Molood Barati; Quan Bai 001; Qing Liu 001 (Knowl. Based Syst., 2017)

An Entropy-Based Class Assignment Detection Approach for RDF Data. - Molood Barati; Quan Bai 001; Qing Liu 001 (PRICAI, 2018)

The Vision of Semantic Web. - Molood Barati (UCC Companion, 2019)

Automated Class Correction and Enrichment in the Semantic Web. - Molood Barati; Quan Bai 001; Qing Liu 001 (J. Web Semant., 2019)

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. - Maryam Doborjeh; Zohreh Gholami Doborjeh; Nikola K. Kasabov; Molood Barati; Grace Y. Wang (Sensors, 2021)