Publications

Prabhudesai, K. S., L. M. Collins, and B. O. Mainsah. “Automated feature learning using deep convolutional auto-encoder neural network for clustering electroencephalograms into sleep stages.” In International IEEE EMBS Conference on Neural Engineering Ner, 2019-March:937–40, 2019. https://doi.org/10.1109/NER.2019.8716996.

Stump, E., D. Reichman, L. M. Collins, and J. M. Malof. “An exploration of gradient-based features for buried threat detection using a handheld ground penetrating radar.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11012, 2019. https://doi.org/10.1117/12.2519949.

Stump, E., D. Reichman, L. M. Collins, and J. M. Malof. “How transferable are downward-looking and handheld ground penetrating radar data? Experiments in the context of buried threat detection.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11012, 2019. https://doi.org/10.1117/12.2519969.

Jacobson, S., D. Reichman, J. Bjornstad, L. M. Collins, and J. M. Malof. “Reliable training of convolutional neural networks for GPR-based buried threat detection using the Adam optimizer and batch normalization.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11012, 2019. https://doi.org/10.1117/12.2519798.

Malof, J. M., D. Reichman, and L. M. Collins. “Data augmentation in feature-space with generative adversarial networks, applied to GPR-based buried threat detection.” In 10th International Workshop on Advanced Ground Penetrating Radar Held at Near Surface Geoscience Conference and Exhibition 2019 Nsg 2019, 2019.

Shahidi, Lidea K., Leslie M. Collins, and Boyla O. Mainsah. “Application of a Graphical Model to Investigate the Utility of Cross-channel Information for Mitigating Reverberation in Cochlear Implants.” In Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications, 2018:847–52, 2018. https://doi.org/10.1109/icmla.2018.00136.

Huang, B., K. Lu, N. Audebert, A. Khalel, Y. Tarabalka, J. Malof, A. Boulch, et al. “Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark.” In International Geoscience and Remote Sensing Symposium IGARSS, 2018-July:6947–50, 2018. https://doi.org/10.1109/IGARSS.2018.8518525.

Huang, B., D. Reichman, L. M. Collins, K. Bradbury, and J. M. Malof. “On the extraction of training imagery from very large remote sensing datasets for deep convolutional segmenatation networks.” In International Geoscience and Remote Sensing Symposium IGARSS, 2018-July:6895–98, 2018. https://doi.org/10.1109/IGARSS.2018.8519523.

Huang, B., L. M. Collins, K. Bradbury, and J. M. Malof. “Deep convolutional segmentation of remote sensing imagery: A simple and efficient alternative to stitching output labels.” In International Geoscience and Remote Sensing Symposium IGARSS, 2018-July:6899–6902, 2018. https://doi.org/10.1109/IGARSS.2018.8518701.

Wang, R., L. M. Collins, K. Bradbury, and J. M. Malof. “Semisupervised adversarial discriminative domain adaptation, with application to remote sensing data.” In International Geoscience and Remote Sensing Symposium IGARSS, 2018-July:3611–14, 2018. https://doi.org/10.1109/IGARSS.2018.8518096.

Harmon, R. S., C. S. Throckmorton, R. R. Hark, J. L. Gottfried, G. Wörner, K. Harpp, and L. Collins. “Discriminating volcanic centers with handheld laser-induced breakdown spectroscopy (LIBS).” Journal of Archaeological Science 98 (October 1, 2018): 112–27. https://doi.org/10.1016/j.jas.2018.07.009.

Prabhudesai, K. S., B. O. Mainsah, L. M. Collins, and C. S. Throckmorton. “Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics.” In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2018-April:2451–55, 2018. https://doi.org/10.1109/ICASSP.2018.8462003.

Clements, J. M., R. Kopper, D. J. Zielinski, H. Rao, M. A. Sommer, E. Kirsch, B. O. Mainsah, L. M. Collins, and L. G. Appelbaum. “Neurophysiology of Visual-Motor Learning during a Simulated Marksmanship Task in Immersive Virtual Reality.” In 25th IEEE Conference on Virtual Reality and 3D User Interfaces VR 2018 Proceedings, 451–58, 2018. https://doi.org/10.1109/VR.2018.8446068.

Chu, Kevin M., Chandra S. Throckmorton, Leslie M. Collins, and Boyla O. Mainsah. “USING MACHINE LEARNING TO MITIGATE THE EFFECTS OF REVERBERATION AND NOISE IN COCHLEAR IMPLANTS.” In Proceedings of Meetings on Acoustics. Acoustical Society of America, 33:050003, 2018. https://doi.org/10.1121/2.0000905.

Ryan, David B., Kenneth A. Colwell, Chandra S. Throckmorton, Leslie M. Collins, Kevin Caves, and Eric W. Sellers. “Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.” Clin EEG Neurosci 49, no. 2 (March 2018): 114–21. https://doi.org/10.1177/1550059417737443.

Malof, J. M., D. Reichman, and L. M. Collins. “How do we choose the best model? The impact of cross-validation design on model evaluation for buried threat detection in ground penetrating radar.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 10628, 2018. https://doi.org/10.1117/12.2305793.

Malof, J. M., J. Bralich, D. Reichman, and L. M. Collins. “Improving the histogram of oriented gradient feature for threat detection in ground penetrating radar by implementing it as a trainable convolutional neural network.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 10628, 2018. https://doi.org/10.1117/12.2305797.

Reichman, D., L. M. Collins, and J. M. Malof. “How much shape information is enough, or too much? Designing imaging descriptors for threat detection in ground penetrating radar data.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 10628, 2018. https://doi.org/10.1117/12.2305880.

Mainsah, B. O., D. Kalika, L. M. Collins, S. Liu, and C. S. Throckmorton. “Information-based adaptive stimulus selection to optimize communication efficiency in brain-computer interfaces.” In Advances in Neural Information Processing Systems, 2018-December:4820–30, 2018.

Reichman, D., L. M. Collins, and J. M. Malof. “On choosing training and testing data for supervised algorithms in ground-penetrating radar data for buried threat detection.” IEEE Transactions on Geoscience and Remote Sensing 56, no. 1 (January 1, 2018): 497–507. https://doi.org/10.1109/TGRS.2017.2750920.

Mainsah, B. O., L. M. Collins, and C. S. Throckmorton. “Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach.” In Brain Computer Interfaces Handbook Technological and Theoretical Advances, 487–500, 2018. https://doi.org/10.1201/9781351231954-25.

Camilo, J. A., L. M. Collins, and J. M. Malof. “A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar.” IEEE Transactions on Geoscience and Remote Sensing 56, no. 1 (January 1, 2018): 547–58. https://doi.org/10.1109/TGRS.2017.2751461.

Reichman, D., L. M. Collins, and J. M. Malof. “If training data appears to be mislabeled, should we relabel it? Improving supervised learning algorithms for threat detection in ground penetrating radar data.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 10628, 2018. https://doi.org/10.1117/12.2305881.

Huang, B., M. Knox, K. Bradbury, L. M. Collins, and R. G. Newell. “Non-intrusive load monitoring system performance over a range of low frequency sampling rates.” In 2017 6th International Conference on Renewable Energy Research and Applications Icrera 2017, 2017-January:505–9, 2017. https://doi.org/10.1109/ICRERA.2017.8191111.

Sakaguchi, R., K. D. Morton, L. M. Collins, and P. A. Torrione. “A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data.” IEEE Transactions on Geoscience and Remote Sensing 55, no. 12 (December 1, 2017): 6736–45. https://doi.org/10.1109/TGRS.2017.2732226.