Eric Orenstein
Eric Orenstein
Senior Research Scientist
Verified email at - Homepage
Cited by
Cited by
Transfer learning and deep feature extraction for planktonic image data sets
EC Orenstein, O Beijbom
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1082-1088, 2017
Whoi-plankton-a large scale fine grained visual recognition benchmark dataset for plankton classification
EC Orenstein, O Beijbom, EE Peacock, HM Sosik
arXiv preprint arXiv:1510.00745, 2015
The Scripps Plankton Camera system: A framework and platform for in situ microscopy
EC Orenstein, D Ratelle, C Briseño‐Avena, ML Carter, PJS Franks, ...
Limnology and Oceanography: Methods 18 (11), 681-695, 2020
FathomNet: A global image database for enabling artificial intelligence in the ocean
K Katija, E Orenstein, B Schlining, L Lundsten, K Barnard, G Sainz, ...
Scientific reports 12 (1), 15914, 2022
Machine learning techniques to characterize functional traits of plankton from image data
EC Orenstein, SD Ayata, F Maps, ÉC Becker, F Benedetti, T Biard, ...
Limnology and oceanography 67 (8), 1647-1669, 2022
Environmental drivers of population variability in colony‐forming marine diatoms
KM Kenitz, EC Orenstein, PLD Roberts, PJS Franks, JS Jaffe, ML Carter, ...
Limnology and Oceanography 65 (10), 2515-2528, 2020
Journey to the center of the gyre: The fate of the Tohoku Tsunami debris field
A Bagulayan, JN Bartlett-Roa, AL Carter, BG Inman, EM Keen, ...
Oceanography 25 (2), 200-207, 2012
Semi‐and fully supervised quantification techniques to improve population estimates from machine classifiers
EC Orenstein, KM Kenitz, PLD Roberts, PJS Franks, JS Jaffe, AD Barton
Limnology and Oceanography: Methods 18 (12), 739-753, 2020
Improving rare-class recognition of marine plankton with hard negative mining
JL Walker, EC Orenstein
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Benchmarking and automating the image recognition capability of an in situ plankton imaging system
KT Le, Z Yuan, A Syed, D Ratelle, EC Orenstein, ML Carter, S Strang, ...
Frontiers in Marine Science 9, 869088, 2022
WHOI-Plankton—A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification. arXiv 2015
EC Orenstein, O Beijbom, EE Peacock, HM Sosik
arXiv preprint arXiv:1510.00745, 2015
Environmental and ecological drivers of harmful algal blooms revealed by automated underwater microscopy
KM Kenitz, CR Anderson, ML Carter, E Eggleston, K Seech, R Shipe, ...
Limnology and Oceanography 68 (3), 598-615, 2023
Automated classification of camouflaging cuttlefish
EC Orenstein, JM Haag, YL Gagnon, JS Jaffe
Methods in Oceanography 15, 21-34, 2016
Evaluating automated benthic fish detection under variable conditions
B Scoulding, K Maguire, EC Orenstein
ICES Journal of Marine Science 79 (8), 2204-2216, 2022
Pier recognition: An in situ plankton web camera
PL Roberts, JS Jaffe, EC Orenstein, B Laxton, PJS Franks, C Briseno, ...
Ocean optics XXII. Portland, Maine, USA, 2014
Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools
BT Belcher, EH Bower, B Burford, MR Celis, AK Fahimipour, IL Guevara, ...
Frontiers in Marine Science 10, 1157370, 2023
Plankton reconstruction through robust statistical optical tomography
R Ronen, Y Attias, YY Schechner, JS Jaffe, E Orenstein
JOSA A 38 (9), 1320-1331, 2021
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation
A Crosby, EC Orenstein, SE Poulton, KLC Bell, B Woodward, H Ruhl, ...
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
Discovery and dynamics of a cryptic marine copepod-parasite interaction
EC Orenstein, E Saberski, C Briseño-Avena
Marine Ecology Progress Series 691, 29-40, 2022
The FathomNet2023 Competition Dataset
E Orenstein, K Barnard, L Lundsten, G Patterson, B Woodward, K Katija
arXiv preprint arXiv:2307.08781, 2023
The system can't perform the operation now. Try again later.
Articles 1–20