Omnidirectional edge detection. - Sayed Kamaledin Ghiasi Shirazi; Reza Safabakhsh (Comput. Vis. Image Underst., 2009)

Learning Translation Invariant Kernels for Classification. - Sayed Kamaledin Ghiasi Shirazi; Reza Safabakhsh; Mostafa Shamsi (J. Mach. Learn. Res., 2010)

A two-stage learning method for protein-protein interaction prediction. - Amir Ahooye Atashin; Parsa Bagherzadeh; Kamaledin Ghiasi-Shirazi (CoRR, 2016)

Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification. - Amir Ahooye Atashin; Kamaledin Ghiasi-Shirazi; Ahad Harati (CoRR, 2016)

Learning 2D Gabor Filters by Infinite Kernel Learning Regression. - Kamaledin Ghiasi-Shirazi (CoRR, 2017)

RSCM technology for developing runtime-reconfigurable telecommunication applications. - Sayed Kamaledin Ghiasi Shirazi; Mahdi Mohseni; Majid Darvishan; Reza Yousefzadeh (Comput. Stand. Interfaces, 2017)

Convolutional kernel networks based on a convex combination of cosine kernels. - Mohammad Reza Mohammadnia-Qaraei; Reza Monsefi; Kamaledin Ghiasi-Shirazi (Pattern Recognit. Lett., 2018)

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)

Generalizing the Convolution Operator in Convolutional Neural Networks. - Kamaledin Ghiasi-Shirazi (Neural Process. Lett., 2019)

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)

PowerLinear Activation Functions with application to the first layer of CNNs. - Kamyar Nasiri; Kamaledin Ghiasi-Shirazi (CoRR, 2021)

Improving the backpropagation algorithm with consequentialism weight updates over mini-batches. - Naeem Paeedeh; Kamaledin Ghiasi-Shirazi (Neurocomputing, 2021)

Randomized non-linear PCA networks. - Mohammad Reza Mohammadnia-Qaraei; Saeid Abbaasi; Kamaledin Ghiasi-Shirazi (Inf. Sci., 2021)

Revisiting Classical Multiclass Linear Discriminant Analysis with a Novel Prototype-based Interpretable Solution. - Sayed Kamaledin Ghiasi Shirazi (CoRR, 2022)

On translating conditional statements into mathematical logic. - Kamaledin Ghiasi-Shirazi (CoRR, 2022)

A Multi-prototype Capsule Network for Image Recognition with High Intra-class Variations. - Saeid Abbaasi; Kamaledin Ghiasi-Shirazi; Ahad Harati (Neural Process. Lett., 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., 2023)

Deep multi-prototype capsule networks. - Saeid Abbassi; Kamaledin Ghiasi-Shirazi; Ahad Harati (CoRR, 2024)

An Exact Finite-dimensional Explicit Feature Map for Kernel Functions. - Kamaledin Ghiasi-Shirazi; Mohammadreza Qaraei (CoRR, 2024)

Neural Generalization of Multiple Kernel Learning. - Ahamad Navid Ghanizadeh; Kamaledin Ghiasi-Shirazi; Reza Monsefi; Mohammadreza Qaraei (Neural Process. Lett., 2024)

Revisiting 2-3 red-black trees with a pedagogically sound yet efficient deletion algorithm: parity-seeking. - Kamaledin Ghiasi-Shirazi; Taraneh Ghandi; Ali Taghizadeh; Ali Rahimi-Baigi (Acta Informatica, 2024)

Hard-Positive Prototypical Networks for Few-Shot Classification. - Mahsa Fazaeli-Javan; Reza Monsefi; Kamaledin Ghiasi-Shirazi (IEEE Access, 2025)

Speeding up L-BFGS by direct approximation of the inverse Hessian matrix. - Ashkan Sadeghi-Lotfabadi; Kamaledin Ghiasi-Shirazi (Comput. Optim. Appl., 2025)