23 citations
- Centre de Recherche en Neurosciences de LyonFR1 paper
- Delhi Technological UniversityIN1 paper
- King Fahd University of Petroleum and MineralsSA1 paper
- Myriad GeneticsUS1 paper
- National Institute of Technology DurgapurIN1 paper
- University of CalcuttaIN1 paper
- University of California, Santa BarbaraUS1 paper
- University of Petroleum and Energy StudiesIN1 paper
6 papers
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Daria Zotova, Nicolas Pinon, Robin Trombetta +3
Background and Objective. Research in the cross-modal medical image translation domain has been very productive over the past few years in tackling the scarce availability of large…
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network
Surya Prakash Tiwari, Sudhir Kumar Chaturvedi, Subhrangshu Adhikary +2
The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities. SAR sensors onboard provide data for coa…
Contemplating real-world object classification
Ali Borji
Deep object recognition models have been very successful over benchmark datasets such as ImageNet. How accurate and robust are they to distribution shifts arising from natural and…
A Novel Quantum Algorithm for Ant Colony Optimization
Mrityunjay Ghosh, Nivedita Dey, Debdeep Mitra +1
Ant colony optimization (ACO) is a commonly used meta-heuristic to solve complex combinatorial optimization problems like traveling salesman problem (TSP), vehicle routing problem…
White Noise Analysis of Neural Networks
Ali Borji, Sikun Lin
A white noise analysis of modern deep neural networks is presented to unveil their biases at the whole network level or the single neuron level. Our analysis is based on two popula…
Learn-able parameter guided Activation Functions
S. Balaji, T. Kavya, Natasha Sebastian
In this paper, we explore the concept of adding learn-able slope and mean shift parameters to an activation function to improve the total response region. The characteristics of an…