16 citations · 79 across the 25 of their papers we have counts for
6 papers · 1 filter
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures
Varun Ojha, Bartolomeo Panto, Giuseppe Nicosia
The paper proposes a novel adaptive search space decomposition method and a novel gradient-free optimization-based formulation for the pre- and post-buckling analyses of space trus…
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies
Varun Ojha, Jon Timmis, Giuseppe Nicosia
We present a comprehensive global sensitivity analysis of two single-objective and two multi-objective state-of-the-art global optimization evolutionary algorithms as an algorithm…
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm
Punitha Jaikumar, Remy Vandaele, Varun Ojha
This paper proposes a methodological approach with a transfer learning scheme for plastic waste bottle detection and instance segmentation using the \textit{mask region proposal co…
Backpropagation Neural Tree
Varun Ojha, Giuseppe Nicosia
We propose a novel algorithm called Backpropagation Neural Tree (BNeuralT), which is a stochastic computational dendritic tree. BNeuralT takes random repeated inputs through its le…
Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
Daniel Ayers, Jack Lau, Javier Amezcua +2
In chaotic dynamical systems such as the weather, prediction errors grow faster in some situations than in others. Real-time knowledge about the error growth could enable strategie…
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia +1
We identify fragile and robust neurons of deep learning architectures using nodal dropouts of the first convolutional layer. Using an adversarial targeting algorithm, we correlate…