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Mohammad (Arash) Norouzzadeh, Ph.D.
Mohammad (Arash) Norouzzadeh, Ph.D.
Other namesMohammad Sadegh Norouzzadeh
Sr. Research Scientist, Bosch Center for Artificial Intelligence
Verified email at uwyo.edu - Homepage
Title
Cited by
Cited by
Year
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
MS Norouzzadeh, A Nguyen, M Kosmala, A Swanson, MS Palmer, ...
Proceedings of the National Academy of Sciences 115 (25), E5716-E5725, 2018
10482018
Machine learning to classify animal species in camera trap images: Applications in ecology
MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC VerCauteren, ...
Methods in Ecology and Evolution 10 (4), 585-590, 2019
4342019
A deep active learning system for species identification and counting in camera trap images
MS Norouzzadeh, D Morris, S Beery, N Joshi, N Jojic, J Clune
Methods in ecology and evolution 12 (1), 150-161, 2021
1752021
Insights and approaches using deep learning to classify wildlife
Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ...
Scientific reports 9 (1), 8137, 2019
1222019
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2
MA Tabak, MS Norouzzadeh, DW Wolfson, EJ Newton, RK Boughton, ...
Ecology and evolution 10 (19), 10374-10383, 2020
512020
Retina identification based on the pattern of blood vessels using fuzzy logic
W Barkhoda, F Akhlaqian, MD Amiri, MS Nouroozzadeh
EURASIP Journal on Advances in Signal Processing 2011 (1), 1-8, 2011
412011
Efficient pipeline for automating species id in new camera trap projects
S Beery, D Morris, S Yang, M Simon, A Norouzzadeh, N Joshi
Biodiversity Information Science and Standards 3, e37222, 2019
372019
LADPSO: using fuzzy logic to conduct PSO algorithm
MS Norouzzadeh, MR Ahmadzadeh, M Palhang
Applied Intelligence 37, 290-304, 2012
332012
Machine learning to classify animal species in camera trap images: Applications in ecology. Methods in Ecology and Evolution, 10 (4), 585–590
MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC Vercauteren, ...
312019
Motion estimation using learning automata
B Damerchilu, MS Norouzzadeh, MR Meybodi
Machine Vision and Applications 27, 1047-1061, 2016
222016
Plowing PSO: A novel approach to effectively initializing particle swarm optimization
MS Norouzzadeh, MR Ahmadzadeh, M Palhang
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE …, 2010
212010
Neuromodulation Improves the Evolution of Forward Models
MS Norouzzadeh, J Clune
Proceedings of the Genetic and Evolutionary Computation Conference, 2016 …, 2016
172016
A novel legitimacy preserving data hiding scheme based on LAS compressed code of VQ index tables
P Rahmani, MS Norouzzadeh, G Dastghaibyfard
Multidimensional Systems and Signal Processing 27, 433-452, 2016
82016
A comparison of visual features used by humans and machines to classify wildlife
Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ...
BioRxiv, 450189, 2018
62018
Forecasting smoothed non-stationary time series using genetic algorithms
P Norouzzadeh, B Rahmani, MS Norouzzadeh
International Journal of Modern Physics C 18 (06), 1071-1086, 2007
62007
Scalable road sign knowledge graph construction with machine learning and human in the loop
JE Kim, KH Huang, MS Norouzzadeh, S Shekhar
US Patent 11,978,264, 2024
12024
Image quantization using machine learning
MS Norouzzadeh, RAR GOMEZ, A Nguyen, FJC CONDESSA
US Patent 11,893,709, 2024
12024
Systems and methods with robust classifiers that defend against patch attacks
WY Lin, MS Norouzzadeh, JZ Kolter, J Shi
US Patent 11,574,143, 2023
12023
System and method for prepending robustifier for pre-trained models against adversarial attacks
WY Lin, L Boytsov, MS Norouzzadeh, J Kolter, FJC CONDESSA
US Patent App. 17/349,645, 2022
12022
Empirical robustification of pre-trained classifiers
MS Norouzzadeh, WY Lin, L Boytsov, L Rice, H Zhang, F Condessa, ...
ICML 2021 Workshop on Adversarial Machine Learning, 2021
12021
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Articles 1–20