Semantic Decay Filter for Event Detection. - Mehdi Ben Lazreg; Usman Anjum; Vladimir Zadorozhny; Morten Goodwin (ISCRAM, 2020)

TBAM: Towards An Agent-Based Model to Enrich Twitter Data. - Usman Anjum; Vladimir Zadorozhny; Prashant Krishnamurthy (ISCRAM, 2021)

Cyberbully Detection Using BERT with Augmented Texts. - Xiaoyu Guo; Usman Anjum; Justin Zhan (IEEE Big Data, 2022)

Localization of Unidentified Events with Raw Microblogging Data. - Usman Anjum; Vladimir Zadorozhny; Prashant Krishnamurthy (Online Soc. Networks Media, 2022)

Geodemographic Profiling of Malicious IP addresses. - Nuray Baltaci Akhuseyinoglu; Usman Anjum (PST, 2023)

BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series. - Usman Anjum; Samuel Lin; Justin Zhan (CoRR, 2023)

Identifying and training deep learning neural networks on biomedical-related datasets. - Alan E. Woessner; Usman Anjum; Hadi Salman; Jacob Lear; Jeffrey T. Turner; Ross Campbell; Laura Beaudry; Justin Zhan; Lawrence E. Cornett; Susan Gauch; Kyle P. Quinn (Briefings Bioinform., 2024)

Towards Modeling Data Quality and Machine Learning Model Performance. - Usman Anjum; Chris Trentman; Elrod Caden; Justin Zhan (CoRR, 2024)

Sentiment Analysis of Movie Reviews Using BERT. - Gibson Nkhata; Usman Anjum; Justin Zhan (CoRR, 2025)

Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis. - Gibson Nkhata; Susan Gauch; Usman Anjum; Justin Zhan (CoRR, 2025)

Adaptive Temperature Based on Logits Correlation in Knowledge Distillation. - Kazuhiro Matsuyama; Usman Anjum; Satoko Matsuyama; Tetsuo Shoda; Justin Zhan (CoRR, 2025)

Using adaptive learning and momentum to improve generalization. - Usman Anjum; Chris Stockman; Cat Luong; Felix Zhan 003 (Neural Comput. Appl., 2025)