Kamaledin Ghiasi-Shirazi

Orcid: 0000-0001-6043-1820

Affiliations:
  • Ferdowsi University of Mashhad, Iran


According to our database1, Kamaledin Ghiasi-Shirazi authored at least 20 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Revisiting 2-3 red-black trees with a pedagogically sound yet efficient deletion algorithm: parity-seeking.
Acta Informatica, September, 2024

Neural Generalization of Multiple Kernel Learning.
Neural Process. Lett., February, 2024

Deep multi-prototype capsule networks.
CoRR, 2024

2023
Prototype-Based Interpretation of the Functionality of Neurons in Winner-Take-All Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Multi-prototype Capsule Network for Image Recognition with High Intra-class Variations.
Neural Process. Lett., October, 2023

2022
On translating conditional statements into mathematical logic.
CoRR, 2022

Revisiting Classical Multiclass Linear Discriminant Analysis with a Novel Prototype-based Interpretable Solution.
CoRR, 2022

2021
Randomized non-linear PCA networks.
Inf. Sci., 2021

Improving the backpropagation algorithm with consequentialism weight updates over mini-batches.
Neurocomputing, 2021

PowerLinear Activation Functions with application to the first layer of CNNs.
CoRR, 2021

2020
A Pedagogically Sound yet Efficient Deletion algorithm for Red-Black Trees: The Parity-Seeking Delete Algorithm.
CoRR, 2020

2019
Generalizing the Convolution Operator in Convolutional Neural Networks.
Neural Process. Lett., 2019

Competitive Cross-Entropy Loss: A Study on Training Single-Layer Neural Networks for Solving Nonlinearly Separable Classification Problems.
Neural Process. Lett., 2019

2018
Convolutional kernel networks based on a convex combination of cosine kernels.
Pattern Recognit. Lett., 2018

2017
RSCM technology for developing runtime-reconfigurable telecommunication applications.
Comput. Stand. Interfaces, 2017

Learning 2D Gabor Filters by Infinite Kernel Learning Regression.
CoRR, 2017

2016
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification.
CoRR, 2016

A two-stage learning method for protein-protein interaction prediction.
CoRR, 2016

2010
Learning Translation Invariant Kernels for Classification.
J. Mach. Learn. Res., 2010

2009
Omnidirectional edge detection.
Comput. Vis. Image Underst., 2009


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