Kamaledin Ghiasi-Shirazi

According to our database, Kamaledin Ghiasi-Shirazi authored at least 18 papers between 2009 and 2024.

Collaborative distances:

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

2024

Neural Generalization of Multiple Kernel Learning.

Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei

Neural Process. Lett., February, 2024

2023

Prototype-Based Interpretation of the Functionality of Neurons in Winner-Take-All Neural Networks.

Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati

IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Multi-prototype Capsule Network for Image Recognition with High Intra-class Variations.

Saeid Abbaasi, Kamaledin Ghiasi-Shirazi, Ahad Harati

Neural Process. Lett., October, 2023

2022

On translating conditional statements into mathematical logic.

Kamaledin Ghiasi-Shirazi

CoRR, 2022

Revisiting Classical Multiclass Linear Discriminant Analysis with a Novel Prototype-based Interpretable Solution.

Sayed Kamaledin Ghiasi Shirazi

CoRR, 2022

2021

Randomized non-linear PCA networks.

Mohammad Reza Mohammadnia-Qaraei, Saeid Abbaasi, Kamaledin Ghiasi-Shirazi

Inf. Sci., 2021

Improving the backpropagation algorithm with consequentialism weight updates over mini-batches.

Naeem Paeedeh, Kamaledin Ghiasi-Shirazi

Neurocomputing, 2021

PowerLinear Activation Functions with application to the first layer of CNNs.

Kamyar Nasiri, Kamaledin Ghiasi-Shirazi

CoRR, 2021

2020

A Pedagogically Sound yet Efficient Deletion algorithm for Red-Black Trees: The Parity-Seeking Delete Algorithm.

Kamaledin Ghiasi-Shirazi, Taraneh Ghandi, Ali Taghizadeh, Ali Rahimi-Baigi

CoRR, 2020

2019

Generalizing the Convolution Operator in Convolutional Neural Networks.

Kamaledin Ghiasi-Shirazi

Neural Process. Lett., 2019

Competitive Cross-Entropy Loss: A Study on Training Single-Layer Neural Networks for Solving Nonlinearly Separable Classification Problems.

Kamaledin Ghiasi-Shirazi

Neural Process. Lett., 2019

2018

Convolutional kernel networks based on a convex combination of cosine kernels.

Mohammad Reza Mohammadnia-Qaraei, Reza Monsefi, Kamaledin Ghiasi-Shirazi

Pattern Recognit. Lett., 2018

2017

RSCM technology for developing runtime-reconfigurable telecommunication applications.

Sayed Kamaledin Ghiasi Shirazi, Mahdi Mohseni, Majid Darvishan, Reza Yousefzadeh

Comput. Stand. Interfaces, 2017

Learning 2D Gabor Filters by Infinite Kernel Learning Regression.

Kamaledin Ghiasi-Shirazi

CoRR, 2017

2016

Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification.

Amir Ahooye Atashin, Kamaledin Ghiasi-Shirazi, Ahad Harati

CoRR, 2016

A two-stage learning method for protein-protein interaction prediction.

Amir Ahooye Atashin, Parsa Bagherzadeh, Kamaledin Ghiasi-Shirazi

CoRR, 2016

2010

Learning Translation Invariant Kernels for Classification.

Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, Mostafa Shamsi

J. Mach. Learn. Res., 2010

2009

Omnidirectional edge detection.

Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh

Comput. Vis. Image Underst., 2009