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Azar Alizadeh
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2020 – today
- 2022
- [c4]Pooya Tavallali, Vahid Behzadan, Azar Alizadeh, Aditya Ranganath, Mukesh Singhal:
Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor. ICIP 2022: 3717-3722 - [c3]Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath:
Stochastic Induction of Decision Trees with Application to Learning Haar Trees. ICMLA 2022: 825-830 - [c2]Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal:
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. ICMLA 2022: 831-836 - 2020
- [j3]Leili Afsah-Hejri, Elnaz Akbari, Arash Toudeshki
, Taymaz Homayouni, Azar Alizadeh, Reza Ehsani:
Terahertz spectroscopy and imaging: A review on agricultural applications. Comput. Electron. Agric. 177: 105628 (2020) - [c1]Laxmi Pandey, Azar Alizadeh, Ahmed Sabbir Arif
:
Enabling Predictive Number Entry and Editing on Touchscreen-Based Mobile Devices. CHIIR 2020: 13-22
2010 – 2019
- 2019
- [j2]Seyed Mojtaba Sajadi
, Azar Alizadeh, Mostafa Zandieh
, Fereshteh Tavan:
Robust and stable flexible job shop scheduling with random machine breakdowns: multi-objectives genetic algorithm approach. Int. J. Math. Oper. Res. 14(2): 268-289 (2019) - 2018
- [j1]Mehrbakhsh Nilashi
, Othman Ibrahim, Elaheh Yadegaridehkordi
, Sarminah Samad, Elnaz Akbari, Azar Alizadeh:
Travelers decision making using online review in social network sites: A case on TripAdvisor. J. Comput. Sci. 28: 168-179 (2018)
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last updated on 2024-04-25 05:48 CEST by the dblp team
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