Artikel mit Open-Access-Mandaten - Daniel B. NeillWeitere Informationen
Nicht verfügbar: 1
Where did I get dengue? Detecting spatial clusters of infection risk with social network data
RC Souza, RM Assunção, DM Oliveira, DB Neill, W Meira Jr
Spatial and spatio-temporal epidemiology 29, 163-175, 2019
Mandate: European Commission
Verfügbar: 37
Youth violence: What we know and what we need to know.
BJ Bushman, K Newman, SL Calvert, G Downey, M Dredze, ...
American Psychologist 71 (1), 17, 2016
Mandate: US National Science Foundation
Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs
F Chen, DB Neill
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Mandate: John D. and Catherine T. MacArthur Foundation
Guggulsterone enhances head and neck cancer therapies via inhibition of signal transducer and activator of transcription-3
RJ Leeman-Neill, SE Wheeler, SV Singh, SM Thomas, RR Seethala, ...
Carcinogenesis 30 (11), 1848-1856, 2009
Mandate: US National Institutes of Health
Fast Kronecker inference in Gaussian processes with non-Gaussian likelihoods
S Flaxman, A Wilson, D Neill, H Nickisch, A Smola
International conference on machine learning, 607-616, 2015
Mandate: US National Institutes of Health
Honokiol inhibits epidermal growth factor receptor signaling and enhances the antitumor effects of epidermal growth factor receptor inhibitors
RJ Leeman-Neill, Q Cai, SC Joyce, SM Thomas, NE Bhola, DB Neill, ...
Clinical Cancer Research 16 (9), 2571-2579, 2010
Mandate: US National Institutes of Health
Inhibition of EGFR-STAT3 signaling with erlotinib prevents carcinogenesis in a chemically-induced mouse model of oral squamous cell carcinoma
RJ Leeman-Neill, RR Seethala, SV Singh, ML Freilino, JS Bednash, ...
Cancer prevention research 4 (2), 230-237, 2011
Mandate: US National Institutes of Health
Machine learning for the developing world
M De-Arteaga, W Herlands, DB Neill, A Dubrawski
ACM Transactions on Management Information Systems (TMIS) 9 (2), 1-14, 2018
Mandate: US National Science Foundation, US Department of Defense
Penalized fast subset scanning
S Speakman, S Somanchi, E McFowland III, DB Neill
Journal of Computational and Graphical Statistics 25 (2), 382-404, 2016
Mandate: US National Science Foundation
Scalable Gaussian processes for characterizing multidimensional change surfaces
W Herlands, A Wilson, H Nickisch, S Flaxman, D Neill, W Van Panhuis, ...
Artificial intelligence and statistics, 1013-1021, 2016
Mandate: US National Science Foundation, UK Engineering and Physical Sciences …
Big data analytics and the struggle for equity in health care: the promise and perils
SA Ibrahim, ME Charlson, DB Neill
Health equity, 2020
Mandate: US National Institutes of Health
Human rights event detection from heterogeneous social media graphs
F Chen, DB Neill
Big Data 3 (1), 34-40, 2015
Mandate: John D. and Catherine T. MacArthur Foundation
Machine learning for drug overdose surveillance
DB Neill, W Herlands
Journal of Technology in Human Services 36 (1), 8-14, 2018
Mandate: US National Science Foundation
Discovering anomalous patterns in large digital pathology images
S Somanchi, DB Neill, AV Parwani
Statistics in medicine 37 (25), 3599-3615, 2018
Mandate: US National Science Foundation
Identifying predictors of opioid overdose death at a neighborhood level with machine learning
RC Schell, B Allen, WC Goedel, BD Hallowell, R Scagos, Y Li, MS Krieger, ...
American Journal of Epidemiology 191 (3), 526-533, 2022
Mandate: US National Institutes of Health
Detecting spatial clusters of disease infection risk using sparsely sampled social media mobility patterns
RC Souza, RM Assunção, DB Neill, W Meira Jr
Proceedings of the 27th acm sigspatial international conference on advances …, 2019
Mandate: European Commission
Automated local regression discontinuity design discovery
W Herlands, E McFowland III, AG Wilson, DB Neill
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
Mandate: US National Science Foundation
Gaussian process subset scanning for anomalous pattern detection in non-iid data
W Herlands, E McFowland, A Wilson, D Neill
International conference on artificial intelligence and statistics, 425-434, 2018
Mandate: US National Science Foundation
Spate-gan: Improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss
K Klemmer, T Xu, B Acciaio, DB Neill
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4523-4531, 2022
Mandate: UK Engineering and Physical Sciences Research Council
Auxiliary-task learning for geographic data with autoregressive embeddings
K Klemmer, DB Neill
Proceedings of the 29th International Conference on Advances in Geographic …, 2021
Mandate: UK Engineering and Physical Sciences Research Council
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