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05/10/2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Given a poorly documented neural network model, we take the perspective ...
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06/05/2021
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
Researchers working on computational analysis of Whole Slide Images (WSI...
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07/29/2020
Machine-Learning Study using Improved Correlation Configuration and Application to Quantum Monte Carlo Simulation
We use the Fortuin-Kasteleyn representation based improved estimator of ...
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06/02/2020
Studying The Effect of MIL Pooling Filters on MIL Tasks
There are different multiple instance learning (MIL) pooling filters use...
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03/05/2020
Detection and Recovery of Adversarial Attacks with Injected Attractors
Many machine learning adversarial attacks find adversarial samples of a ...
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02/28/2020
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts
Motivation: High resolution 2D whole slide imaging provides rich informa...
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10/09/2019
Cribriform pattern detection in prostate histopathological images using deep learning models
Architecture, size, and shape of glands are most important patterns used...
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06/18/2019
A Weakly Supervised Learning Based Clustering Framework
A weakly supervised learning based clustering framework is proposed in t...
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06/01/2019
Enhancing Transformation-based Defenses using a Distribution Classifier
Adversarial attacks on convolutional neural networks (CNN) have gained s...
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04/02/2019
Fence GAN: Towards Better Anomaly Detection
Anomaly detection is a classical problem where the aim is to detect anom...
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01/01/2019
Gated-Dilated Networks for Lung Nodule Classification in CT scans
Different types of Convolutional Neural Networks (CNNs) have been applie...
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11/05/2018
An Efficient Network for Predicting Time-Varying Distributions
While deep neural networks have achieved groundbreaking prediction resul...
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04/13/2018
Distribution Regression Network
We introduce our Distribution Regression Network (DRN) which performs re...
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02/13/2018
