I. Whitehouse, R. Yepez-Lopez and R. Corizzo, “Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams,” in Proceedings of the 2023 IEEE International Conference on Big Data, Sorrento, Italy, 2023. DOI, Download
L. P. Damasceno, E. Rexhepi, A. Shafer, I. Whitehouse, N. Japkowicz, C. C. Cavalcante, R. Corizzo and Z. Boukouvalas, “Exploiting Sparsity and Statistical Dependence in Multivariate Data Fusion: An Application to Misinformation Detection for High-Impact Events,” Machine Learning, vol. 112, 2023. DOI, Download
L. P. Damasceno, E. Rxhepi, A. Shafer, I. Whitehouse, C. C. Cavalcante, R. Corizzo and Z. Boukouvalas, “Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection,” in Proceedings of the IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, 2023. DOI, Download
I. Whitehouse and G. Byrne, Adversarial Machine Learning Training for Signal-to-Noise Generalization in Passive Undersea Acoustics, San Diego, CA: Naval Applications of Machine Learning, 2024. Download
I. Whitehouse and R. Corizzo, Gravitational Wave Detection with Novel Machine Learning Models, Washington, DC: American University College of Arts and Sciences, 2022. Download