Hidden Markov models with random restarts versus boosting for malware detection. - Aditya Raghavan; Fabio Di Troia; Mark Stamp 001 (J. Comput. Virol. Hacking Tech., 2019)

Recognition of Handwritten Medical Prescription using CNN Bi-LSTM With Lexicon Search. - Aayush Razdan; Aditya Raghavan; Megh Panandikar; Arya Pol; Karina Hedaoo; Rajesh Patil (ICCCNT, 2023)

Hidden Markov Models with Random Restarts vs Boosting for Malware Detection. - Aditya Raghavan; Fabio Di Troia; Mark Stamp 001 (CoRR, 2023)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. - Aditya Raghavan; Utkarsh Pratiush; Mani Valleti; Richard Liu; Reece Emery; Hiroshi Funakubo; Yongtao Liu; Philip D. Rack; Sergei V. Kalinin (CoRR, 2024)

Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms. - Mani Valleti; Aditya Raghavan; Sergei V. Kalinin (CoRR, 2024)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)