Search Results for author: Varun Ojha

Found 7 papers, 3 papers with code

Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies

1 code implementation11 Jul 2022 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 configuration problem.

Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm

no code implementations15 Apr 2022 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 convolutional neural network} (Mask R-CNN).

Instance Segmentation Region Proposal +2

Backpropagation Neural Tree

1 code implementation4 Feb 2022 Varun Ojha, Giuseppe Nicosia

We propose a novel algorithm called Backpropagation Neural Tree (BNeuralT), which is a stochastic computational dendritic tree.

 Ranked #1 on Image Classification on MNIST (Error rate metric)

Image Classification

Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons

no code implementations31 Jan 2022 Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha

In this paper, we evaluate the robustness of state-of-the-art image classification models trained on the MNIST and CIFAR10 datasets against the fast gradient sign method attack, a simple yet effective method of deceiving neural networks.

Adversarial Attack Adversarial Robustness +1

A novel ECG signal denoising filter selection algorithm based on conventional neural networks

no code implementations28 Jan 2022 Chandresh Pravin, Varun Ojha

ECG signals measured under clinical conditions, such as those acquired using skin contact devices in hospitals, often contain baseline signal disturbances and unwanted artefacts; indeed for signals obtained outside of a clinical environment, such as heart rate signatures recorded using non-contact radar systems, the measurements contain greater levels of noise than those acquired under clinical conditions.

Denoising

Heuristic design of fuzzy inference systems: A review of three decades of research

no code implementations27 Aug 2019 Varun Ojha, Ajith Abraham, Vaclav Snasel

This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy inference systems (FIS) using five well known computational frameworks: genetic-fuzzy systems (GFS), neuro-fuzzy systems (NFS), hierarchical fuzzy systems (HFS), evolving fuzzy systems (EFS), and multi-objective fuzzy systems (MFS), which is in view that some of them are linked to each other.

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