9 citations · 11 across the 7 of their papers we have counts for
7 papers
Unsupervised Learning for Missing Modalities in Multimodal Learning
Hassan Ismkhan, Hamid Bouchahcia
This paper addresses the missing-modality challenge in multi-modal learning by introducing Unsupervised Learning for Missing Modalities in Multi-Modal Learning (UL4M4), a flexible…
Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities
Hassan Ismkhan, Hamid Bouchahcia
Robotic systems perceive the world through multiple input modalities -- including visual camera streams and natural language instructions -- and must select appropriate actions bas…
An initialization method for the k-means using the concept of useful nearest centers
Hassan Ismkhan
The aim of the k-means is to minimize squared sum of Euclidean distance from the mean (SSEDM) of each cluster. The k-means can effectively optimize this function, but it is too sen…
Study of Some Recent Crossovers Effects on Speed and Accuracy of Genetic Algorithm, Using Symmetric Travelling Salesman Problem
Hassan Ismkhan, Kamran Zamanifar
The Travelling Salesman Problem (TSP) is one of the most famous optimization problems. The Genetic Algorithm (GA) is one of metaheuristics that have been applied to TSP. The Crosso…
Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Hassan Ismkhan
Ant Colony Algorithm (ACA) and Genetic Local Search (GLS) are two optimization algorithms that have been successfully applied to the Traveling Salesman Problem (TSP). In this paper…
Accelerating the ANT Colony Optimization By Smart ANTs, Using Genetic Operator
Hassan Ismkhan
This paper research review Ant colony optimization (ACO) and Genetic Algorithm (GA), both are two powerful meta-heuristics. This paper explains some major defects of these two algo…
Developing Improved Greedy Crossover to Solve Symmetric Traveling Salesman Problem
Hassan Ismkhan, Kamran Zamanifar
The Traveling Salesman Problem (TSP) is one of the most famous optimization problems. Greedy crossover designed by Greffenstette et al, can be used while Symmetric TSP (STSP) is re…