Alireza Kashani

According to our database, Alireza Kashani authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete.

Emadaldin Mohammadi Golafshani, Ali Behnood, Taehwan Kim, Tuan Ngo, Alireza Kashani

Appl. Soft Comput., 2024

2023

Predicting individual learning performance using machine-learning hybridized with the teaching-learning-based optimization.

Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, Julia Lamborn, Alireza Kashani, Heng Li, Parisa Farzanehfar

Comput. Appl. Eng. Educ., January, 2023

Learning to Taste: A Multimodal Wine Dataset.

Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Modeling the compressive strength of concrete containing waste glass using multi-objective automatic regression.

Emadaldin Mohammadi Golafshani, Alireza Kashani

Neural Comput. Appl., 2022

2019

Deep neural network with high-order neuron for the prediction of foamed concrete strength.

Tuan Nguyen, Alireza Kashani, Tuan N. Nguyen, Stéphane P. A. Bordas

Comput. Aided Civ. Infrastructure Eng., 2019