Publications

Found 90 results
Type [ Year(Asc)]
2024
K Walder-Christensen, K Abdelaal, H Klein, GE Thomas, NM Gallagher, A Talbot, E Adamson, A Rawls, D Hughes, SD Mague et al. "Electome network factors: Capturing emotional brain networks related to health and disease." Cell Reports Methods 4, no. 1 (2024).
ZD Calhoun, F Willard, C Ge, C Rodriguez, M Bergin, and D Carlson. "Estimating the effects of vegetation and increased albedo on the urban heat island effect with spatial causal inference." Scientific Reports 14, no. 1 (2024).
2022
SD Mague, A Talbot, C Blount, KK Walder-Christensen, LJ Duffney, E Adamson, AL Bey, N Ndubuizu, GE Thomas, DN Hughes et al. "Brain-wide electrical dynamics encode individual appetitive social behavior." Neuron 110, no. 10 (2022): 1728-1741.e7.
YS Grossman, A Talbot, NM Gallagher, GE Thomas, AJ Fink, KK Walder-Christensen, SJ Russo, DE Carlson, and K Dzirasa. "Brain-wide oscillatory network encodes an aggressive internal state." (2022).
Z Jiang, T Zheng, M Bergin, and D Carlson. "Improving spatial variation of ground-level PM2.5 prediction with contrastive learning from satellite imagery." Science of Remote Sensing 5 (2022): 100052.
2021
AL Bey, KK Walder-Christensen, J Goffinet, E Adamson, N Lanier, SD Mague, D Carlson, and K Dzirasa. "6.28 Identifying Networks Underlying Sleep Disruption in Autism Spectrum Disorder Mouse Models." In Journal of the American Academy of Child and Adolescent Psychiatry, S167. Vol. 60. 2021.
W Carson, A Talbot, and D Carlson. "AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models." NeurIPS Workshop on Learning Meaningful Representations of Life (2021).
T Zhou, Y Li, Y Wu, and D Carlson. "Estimating Uncertainty Intervals from Collaborating Networks." Journal of Machine Learning Research (2021).
T Dunn, JD Marshall, KS Severson, DE Aldarondo, DGC Hildebrand, SN Chettih, WL Wang, AJ Gellis, DE Carlson, D Aronov et al. "Geometric deep learning enables 3D kinematic profiling across species and environments." Nature Methods (In press) (2021).
TW Dunn, JD Marshall, KS Severson, DE Aldarondo, DGC Hildebrand, SN Chettih, WL Wang, AJ Gellis, DE Carlson, D Aronov et al. "Geometric deep learning enables 3D kinematic profiling across species and environments." Nat Methods 18, no. 5 (2021): 564-573.
T Zheng, M Bergin, G Wang, and D Carlson. "Local PM2.5 hotspot detector at 300 m resolution: A random forest-convolutional neural network joint model jointly trained on satellite images and meteorology." Remote Sensing 13, no. 7 (2021): 1356.
2020
DY Isaev, D Tchapyjnikov, CM Cotten, D Tanaka, N Martinez, M Bertran, G Sapiro, and D Carlson. "Attention-Based Network for Weak Labels in Neonatal Seizure Detection." Proc Mach Learn Res 126 (2020): 479-507.
P Cheng, Y Li, X Zhang, L Chen, D Carlson, and L Carin. "Dynamic embedding on textual networks via a Gaussian process." Aaai 2020 34th Aaai Conference on Artificial Intelligence (2020): 7562-7569.
T Zheng, MH Bergin, S Hu, J Miller, and DE Carlson. "Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach." Atmospheric Environment (2020): 117451.
T Zheng, MH Bergin, S Hu, J Miller, and DE Carlson. "Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach." Atmospheric Environment 230 (2020): 117451.
T Zhou, Y Li, Y Wu, and D Carlson. "Estimating Uncertainty Intervals from Collaborating Networks." Arxiv Preprint Arxiv:2002.05212 (2020).
P Cheng, Y Li, X Zhang, L Cheng, D Carlson, and L Carin. "Gaussian-Process-Based Dynamic Embedding for Textual Networks." In AAAI Conference on Artificial Intelligence. 2020.
Z Loring, S Mehrotra, JP Piccini, J Camm, D Carlson, GC Fonarow, KAA Fox, ED Peterson, K Pieper, and AK Kakkar. "Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries." In Europace, 1635-1644. Vol. 22. 2020.
DY Isaev, S Major, M Murias, KLH Carpenter, D Carlson, G Sapiro, and G Dawson. "Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder." Scientific Reports 10, no. 1 (2020).
DY Isaev, S Major, M Murias, KLH Carpenter, D Carlson, G Sapiro, and G Dawson. "Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder." Scientific Reports 10 (2020): 1-11.
A Talbot, D Dunson, K Dzirasa, and D Carlson. "Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity." arXiv preprint arXiv:2004.05209 (2020).
A Talbot, DB Dunson, K Dzirasa, and DE Carlson. "Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity." Corr abs/2004.05209 (2020).
Y Li, M Murias, S Major, G Dawson, and DE Carlson. "On target shift in adversarial domain adaptation." In Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics. 2020.
J Lee, C Mitelut, H Shokri, I Kinsella, N Dethe, S Wu, K Li, EB Reyes, D Turcu, E Batty et al. "YASS: Yet Another Spike Sorter applied to large-scale multi-electrode array recordings in primate retina." bioRxiv (2020).
2019
D Carlson, and L Carin. "Continuing progress of spike sorting in the era of big data." Current Opinion in Neurobiology 55 (2019): 90-96.

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