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Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model

H. Du, S. Thudumu, A. Giardina, R. Vasa, K. Mouzakis, L. Jiang, J. Chisholm, S. Bista

2023 / Vol. 10, pp. 156 / Journal of Big Data

Case study of designing and evaluating an independent open learner model tool

C. Y. Law, J. Grundy, K. V. Baggo, A. Cain, R. Vasa

2023 / Vol. 8, pp. 2237331 / Higher Education Pedagogies

UAV dynamic object tracking with Lightweight Deep Vision Reinforcement Learning

H. Nguyen, S. Thudumu, H. Du, K. Mouzakis, R. Vasa

2023 / Vol. 16, pp. 227 / Algorithms

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture

H. Du, S. Thudumu, S. Singh, S. Barnett, I. Logothetis, R. Vasa, K. Mouzakis

2023 / pp. 706 - 707 / 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)

Factors affecting interpretation of dental radiographs

S. Hegde, J. Gao, R. Vasa, S. Cox

2023 / Vol. 52, pp. 20220279 / Dentomaxillofacial Radiology

EEG datasets for seizure detection and prediction—A review

S. Wong, A. Simmons, J. Rivera-Villicana, S. Barnett, S. Sivathamboo, P. Perucca, Z. Ge, P. Kwan, L. Kuhlmann, R. Vasa, others

2023 / Vol. 8, pp. 252 - 267 / Epilepsia Open

Exploring the Reliability of IoT Packet Classifiers: An Experimental Study

R. V. H. G. I. L. M. T. 1. A. Pasquini, A. Chambers

2023 / pp. Accepted on 22/09/2023 / 2023 IEEE Globecom Workshops

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee

G. Ngo, D. Nguyen, D. Phan-Trong, S. Gupta

2023 / pp. Accepted on 11 September 2023 / Asian Conference on Machine Learning (ACML)

Robustness Attributes to Safeguard Machine Learning Models in Production

H. Abdelkader, M. Abdelrazek, J. Schneider, P. Rani, R. Vasa

2023 / pp. Accepted on 11/10/2023 / IEEE Conference on Engineering Informatics 2023

MLGuard: Defend Your Machine Learning Model!

S. Wong, S. Barnett, J. Rivera-Villicana, A. Simmons, H. Abdelkader, J. Schneider, R. Vasa

2023 / pp. 10–13 / Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components