Mohammad (Arash) Norouzzadeh, Ph.D.
Mohammad (Arash) Norouzzadeh, Ph.D.
Bosch Center for Artificial Intelligence
Verifisert e-postadresse på - Startside
Sitert av
Sitert av
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
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
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), 1-9, 2019
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
LADPSO: using fuzzy logic to conduct PSO algorithm
MS Norouzzadeh, MR Ahmadzadeh, M Palhang
Applied Intelligence 37 (2), 290-304, 2012
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
Motion estimation using learning automata
B Damerchilu, MS Norouzzadeh, MR Meybodi
Machine Vision and Applications 27 (7), 1047-1061, 2016
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
Neuromodulation Improves the Evolution of Forward Models
MS Norouzzadeh, J Clune
Proceedings of the Genetic and Evolutionary Computation Conference, 2016 …, 2016
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
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
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 (2), 433-452, 2016
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
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
Web search personalization: A fuzzy adaptive approach
MS Norouzzadeh, A Bagheri, MH Saraee
2009 2nd IEEE International Conference on Computer Science and Information …, 2009
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
Systemet kan ikke utføre handlingen. Prøv igjen senere.
Artikler 1–16