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Richard J Povinelli

Showing results (1-10 of 9) with videos related to

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Sensors (Basel, Switzerland)|March 10, 2017
Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive LikelihoodsAnthony Hoak, Henry Medeiros, Richard J Povinelli
Journal of Cheminformatics|March 21, 2017
An ensemble model of QSAR tools for regulatory risk assessmentPrachi Pradeep, Richard J Povinelli, Shannon White, et al.
Sensors (Basel, Switzerland)|February 13, 2025
An Iterative Shifting Disaggregation Algorithm for Multi-Source, Irregularly Sampled, and Overlapped Time SeriesColin O Quinn, Ronald H Brown, George F Corliss, et al.
Molecular Informatics|August 5, 2016
Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity PredictionPrachi Pradeep, Richard J Povinelli, Stephen J Merrill, et al.
Journal of Chemical Information and Modeling|November 28, 2006
Synergistic use of compound properties and docking scores in neural network modeling of CYP2D6 binding: predicting affinity and conformational samplingPeter S Bazeley, Sridevi Prithivi, Craig A Struble, et al.
Plos One|June 1, 2018
Do NIR spectra collected from laboratory-reared mosquitoes differ from those collected from wild mosquitoes?Masabho P Milali, Maggy T Sikulu-Lord, Samson S Kiware, et al.
Plos One|August 15, 2019
Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networksMasabho P Milali, Maggy T Sikulu-Lord, Samson S Kiware, et al.
Plos One|June 20, 2020
An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectraMasabho P Milali, Samson S Kiware, Nicodem J Govella, et al.
Genome Biology|October 18, 2008
Overview of BioCreative II gene mention recognitionLarry Smith, Lorraine K Tanabe, Rie Johnson nee Ando, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|March 10, 2017
Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive LikelihoodsAnthony Hoak, Henry Medeiros, Richard J Povinelli
Journal of Cheminformatics|March 21, 2017
An ensemble model of QSAR tools for regulatory risk assessmentPrachi Pradeep, Richard J Povinelli, Shannon White, et al.
Sensors (Basel, Switzerland)|February 13, 2025
An Iterative Shifting Disaggregation Algorithm for Multi-Source, Irregularly Sampled, and Overlapped Time SeriesColin O Quinn, Ronald H Brown, George F Corliss, et al.
Molecular Informatics|August 5, 2016
Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity PredictionPrachi Pradeep, Richard J Povinelli, Stephen J Merrill, et al.
Journal of Chemical Information and Modeling|November 28, 2006
Synergistic use of compound properties and docking scores in neural network modeling of CYP2D6 binding: predicting affinity and conformational samplingPeter S Bazeley, Sridevi Prithivi, Craig A Struble, et al.
Plos One|June 1, 2018
Do NIR spectra collected from laboratory-reared mosquitoes differ from those collected from wild mosquitoes?Masabho P Milali, Maggy T Sikulu-Lord, Samson S Kiware, et al.
Plos One|August 15, 2019
Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networksMasabho P Milali, Maggy T Sikulu-Lord, Samson S Kiware, et al.
Plos One|June 20, 2020
An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectraMasabho P Milali, Samson S Kiware, Nicodem J Govella, et al.
Genome Biology|October 18, 2008
Overview of BioCreative II gene mention recognitionLarry Smith, Lorraine K Tanabe, Rie Johnson nee Ando, et al.
Pageof 1