Articles with public access mandates - Jennifer SleemanLearn more
Not available anywhere: 3
A deep machine learning approach for lidar based boundary layer height detection
J Sleeman, M Halem, Z Yang, V Caicedo, B Demoz, R Delgado
IGARSS 2020-2020 IEEE international geoscience and remote sensing symposium …, 2020
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Physics-aware deep edge detection network
K Patel, J Sleeman, M Halem
Remote Sensing of Clouds and the Atmosphere XXVI 11859, 32-38, 2021
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impacts on Deforestation, Air Quality and Cardiopulmonary Disease
M Halem, AK Kochanski, J Mandel, J Sleeman, B Demoz, A Bargteil, ...
International Conference on Dynamic Data Driven Applications Systems, 403-410, 2022
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Available somewhere: 10
Robust semantic text similarity using LSA, machine learning, and linguistic resources
A Kashyap, L Han, R Yus, J Sleeman, T Satyapanich, S Gandhi, T Finin
Language Resources and Evaluation 50, 125-161, 2016
Mandates: US National Science Foundation
Entity type recognition for heterogeneous semantic graphs
J Sleeman, T Finin, A Joshi
AI Magazine 36 (1), 75-86, 2015
Mandates: US National Aeronautics and Space Administration
A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning
J Sleeman, J Dorband, M Halem
Quantum information science, sensing, and computation XII 11391, 23-38, 2020
Mandates: US National Aeronautics and Space Administration
Modeling the evolution of climate change assessment research using dynamic topic models and cross-domain divergence maps
J Sleeman, M Halem, T Finin, M Cane
2017 AAAI Spring Symposium Series, 2017
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Discovering scientific influence using cross-domain dynamic topic modeling
J Sleeman, M Halem, T Finin, M Cane
2017 IEEE international conference on big data (big data), 1325-1332, 2017
Mandates: US National Science Foundation
Convolutional lstm for planetary boundary layer height (pblh) prediction
D Ziaei, J Sleeman, M Halem, V Caicedo, RM Delgado, B Demoz
AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine …, 2021
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Using AI to Detect Climate Tipping Points-Or Why It’s Hard to Understand Rapid Changes in the Earth System
A Gnanadesikan, J Brett, J Sleeman, D Chung
Mandates: US Department of Defense
The Physics-informed AI Climate Model Agent Neuro-symbolic Simulator (PACMANS) for Tipping Point Discovery Milestone 12 Report
J Sleeman, J Brett, M Hughes, A Gnanadesikan, Y Kevrekidis
Mandates: US Department of Defense
AI climate tipping‐point discovery (ACTD).
J Sleeman, J Brett
AI Magazine 44 (2), 2023
Mandates: US Department of Defense
Deep Learning Ensembles for Improved Atmospheric Composition Modeling
J Sleeman, CA Keller, C Ribaudo, D Chung, M Szeto
Proceedings of the AAAI Symposium Series 2 (1), 148-152, 2023
Mandates: US National Aeronautics and Space Administration
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