Text Classification Using Neural Network Language Model (NNLM) and BERT: An Empirical Comparison. - Armin Esmaeilzadeh; Kazem Taghva (IntelliSys (3), 2021)

Graph Attention Neural Network Distributed Model Training. - Armin Esmaeilzadeh; Mina Esmail Zadeh Nojoo Kambar; Maryam Heidari (AIIoT, 2022)

A Survey on Deep Learning Techniques for Joint Named Entities and Relation Extraction. - Mina Esmail Zadeh Nojoo Kambar; Armin Esmaeilzadeh; Maryam Heidari (AIIoT, 2022)

MapReduce Preprocess of Big Graphs for Rapid Connected Components Detection. - Reyhaneh Abdolazimi; Maryam Heidari; Armin Esmaeilzadeh; Hassan Naderi (CCWC, 2022)

Efficient Large Scale NLP Feature Engineering with Apache Spark. - Armin Esmaeilzadeh; Maryam Heidari; Reyhaneh Abdolazimi; Parisa Hajibabaee; Masoud Malekzadeh (CCWC, 2022)

Offensive Language Detection on Social Media Based on Text Classification. - Parisa Hajibabaee; Masoud Malekzadeh; Mohsen Ahmadi; Maryam Heidari; Armin Esmaeilzadeh; Reyhaneh Abdolazimi; James H. Jones Jr. (CCWC, 2022)

A Survey on Mobile Malware Detection Methods using Machine Learning. - Mina Esmail Zadeh Nojoo Kambar; Armin Esmaeilzadeh; Yoohwan Kim; Kazem Taghva (CCWC, 2022)

Chemical-Gene Relation Extraction with Graph Neural Networks and BERT Encoder. - Mina Esmail Zadeh Nojoo Kambar; Armin Esmaeilzadeh; Kazem Taghva (ICR, 2022)

Building Wikipedia N-grams with Apache Spark. - Armin Esmaeilzadeh; Jorge Ramón Fonseca Cacho; Kazem Taghva; Mina Esmail Zadeh Nojoo Kambar; Mahdi Hajiali (SAI (2), 2022)

InfoMoD: Information-theoretic Model Diagnostics. - Armin Esmaeilzadeh; Lukasz Golab; Kazem Taghva (SSDBM, 2023)

On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. - Armin Esmaeilzadeh; Joel Rorseth; Andy Yu; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta; Kazem Taghva (GUIDE-AI@SIGMOD, 2024)