Publications

Spell, G. P., S. Ren, L. M. Collins, and J. M. Malof. “Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37:9874–81, 2023.

Luzi, F., A. Gupta, L. Collins, K. Bradbury, and J. Malof. “Transformers For Recognition In Overhead Imagery: A Reality Check.” In Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 3767–76, 2023. https://doi.org/10.1109/WACV56688.2023.00377.

Chu, K., L. Collins, and B. Mainsah. “Suppressing reverberation in cochlear implant stimulus patterns using time-frequency masks based on phoneme groups.” In Proceedings of Meetings on Acoustics, Vol. 50, 2022. https://doi.org/10.1121/2.0001698.

Shahidi, Lidea K., Leslie M. Collins, and Boyla O. Mainsah. “Parameter tuning of time-frequency masking algorithms for reverberant artifact removal within the cochlear implant stimulus.” Cochlear Implants International 23, no. 6 (November 2022): 309–16. https://doi.org/10.1080/14670100.2022.2096182.

Chen, Xinlin J., Leslie M. Collins, and Boyla O. Mainsah. “Language Model-Guided Classifier Adaptation for Brain-Computer Interfaces for Communication.” In Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics, 2022:1642–47, 2022. https://doi.org/10.1109/smc53654.2022.9945561.

Huang, B., J. Yang, A. Streltsov, K. Bradbury, L. M. Collins, and J. M. Malof. “GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (January 1, 2022): 4956–70. https://doi.org/10.1109/JSTARS.2021.3124519.

Chen, Xinlin J., Leslie M. Collins, and Boyla O. Mainsah. “Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.” In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021:5796–99, 2021. https://doi.org/10.1109/embc46164.2021.9630048.

Chen, Xinlin J., Emma T. LaPorte, Cameron Olsen, Leslie M. Collins, Priyesh Patel, Ravi Karra, and Boyla O. Mainsah. “Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices.” IEEE Trans Biomed Eng 68, no. 10 (October 2021): 3009–18. https://doi.org/10.1109/TBME.2021.3060718.

Mainsah, Boyla O., Priyesh A. Patel, Xinlin J. Chen, Cameron Olsen, Leslie M. Collins, and Ravi Karra. “Novel Acoustic Biomarker of Quality of Life in Left Ventricular Assist Device Recipients.” J Am Heart Assoc 10, no. 6 (March 16, 2021): e018588. https://doi.org/10.1161/JAHA.120.018588.

Chu, K., L. Collins, and B. Mainsah. “A causal deep learning framework for classifying phonemes in cochlear implants.” In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021-June:6498–6502, 2021. https://doi.org/10.1109/ICASSP39728.2021.9413986.

Karpurapu, A., A. Krekorian, Y. Tian, L. M. Collins, R. Karra, A. D. Franklin, and B. O. Mainsah. “Evaluating the effect of longitudinal dose and INR data on maintenance warfarin dose predictions.” In BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings, 2021. https://doi.org/10.1109/BHI50953.2021.9508510.

Spell, G. P., L. M. Collins, and J. M. Malof. “APPLICATION OF COMPOSITIONAL NEURAL NETWORKS FOR ROBUST CLASSIFICATION OF INFRARED IMAGERY.” In International Geoscience and Remote Sensing Symposium (IGARSS), 2021-July:2799–2802, 2021. https://doi.org/10.1109/IGARSS47720.2021.9553370.

Huang, B., K. Bradbury, L. M. Collins, and J. M. Malof. “Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? the xGD Benchmark Problem.” In International Geoscience and Remote Sensing Symposium (IGARSS), 1476–79, 2020. https://doi.org/10.1109/IGARSS39084.2020.9323080.

Hu, W., B. Alexander, W. Cathcart, A. Hu, V. Nair, L. Zuo, J. Malof, L. Collins, and K. Bradbury. “Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning.” In International Geoscience and Remote Sensing Symposium (IGARSS), 2229–32, 2020. https://doi.org/10.1109/IGARSS39084.2020.9323851.

Chen, X. J., L. M. Collins, P. A. Patel, R. Karra, and B. O. Mainsah. “Heart Sound Analysis in Individuals Supported with Left Ventricular Assist Device: A First Look.” In Computing in Cardiology, Vol. 2020-September, 2020. https://doi.org/10.22489/CinC.2020.080.

Chu, Kevin, Leslie Collins, and Boyla Mainsah. “USING AUTOMATIC SPEECH RECOGNITION AND SPEECH SYNTHESIS TO IMPROVE THE INTELLIGIBILITY OF COCHLEAR IMPLANT USERS IN REVERBERANT LISTENING ENVIRONMENTS.” In Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 2020:6929–33, 2020. https://doi.org/10.1109/icassp40776.2020.9054450.

Stump, E. A., F. Reveriano, L. M. Collins, and J. M. Malof. “How robust are deep object detectors to variability in ground truth bounding boxes? experiments for target recognition in infrared imagery.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11394, 2020. https://doi.org/10.1117/12.2565897.

Malof, J. M., D. Reichman, A. Karem, H. Frigui, K. C. Ho, J. N. Wilson, W. H. Lee, W. J. Cummings, and L. M. Collins. “A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar.” IEEE Transactions on Geoscience and Remote Sensing 57, no. 9 (September 1, 2019): 6929–45. https://doi.org/10.1109/TGRS.2019.2909665.

Kong, F., C. Chen, B. Huang, L. M. Collins, K. Bradbury, and J. M. Malof. “Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: Preliminary results.” In International Geoscience and Remote Sensing Symposium (IGARSS), 3903–6, 2019. https://doi.org/10.1109/IGARSS.2019.8898617.

Lin, K., B. Huang, L. M. Collins, K. Bradbury, and J. M. Malof. “A simple rotational equivariance loss for generic convolutional segmentation networks: Preliminary results.” In International Geoscience and Remote Sensing Symposium (IGARSS), 3876–79, 2019. https://doi.org/10.1109/IGARSS.2019.8898722.

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.