Convolutional neural networks and extreme learning machines for malware classification. - Mugdha Jain; William B. Andreopoulos; Mark Stamp 001 (J. Comput. Virol. Hacking Tech., 2020)

Prediction of higher-order links using global vectors and Hasse diagrams. - Kalpnil Anjan; William B. Andreopoulos; Katerina Potika (IEEE BigData, 2021)

CNN vs ELM for Image-Based Malware Classification. - Mugdha Jain; William B. Andreopoulos; Mark Stamp 001 (CoRR, 2021)

Graph deep learning hashtag recommender for reels. - Sriya Balineni; William B. Andreopoulos (BigDataService, 2023)

Finding BERT Errors Using Activation Vectors. - Vedashree P. Bhandare; William B. Andreopoulos (BigDataService, 2023)

Personalized Tweet Recommendation Using Users' Image Preferences. - Shashwat Avinash Kadam; William B. Andreopoulos (BigDataService, 2023)

Job Tailored Resume Content Generation. - Sumedh S. Kale; William B. Andreopoulos (BigDataService, 2023)

Real-Time Attention-Based Conversational Agent. - Abhishek Vaid; William B. Andreopoulos (TransAI, 2023)

Resume Content Generation Using Llama 2 with Adapters. - Navaneeth Sai Nidadavolu; William B. Andreopoulos (BigDataService, 2024)

Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques. - Jyotika Hariom Patil; Petros Potikas; William B. Andreopoulos; Katerina Potika (Inf., 2024)

Finding BERT errors by clustering activation vectors. - William B. Andreopoulos; Dominic Lopez; Carlos Rojas; Vedashree P. Bhandare (Future Gener. Comput. Syst., 2025)

AGRO: An Autonomous AI Rover for Precision Agriculture. - Simar Ghumman; Fabio Di Troia; William B. Andreopoulos; Mark Stamp 001; Sanjit Rai (CoRR, 2025)