Neel Kanwal (NeelKanwal)

NeelKanwal

Geek Repo

Company:@University of Stavanger

Location:Stavanger, Norway

Home Page:https://www.linkedin.com/in/neel-kanwal-3369aaa1/

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Neel Kanwal's repositories

Attention-based-clinical-note-summarization

A new approach to extract clinical summaries from discharge notes

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:8Issues:1Issues:1

DeepKernelLearning

This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."

Language:PythonLicense:GPL-3.0Stargazers:2Issues:0Issues:0

Dilated-Convolution-Networks-for-Classification-of-ICD-9-based-Clinical-Summaries

The deployment of Artificial Intelligence for the understanding of common text-based tasks in the healthcare sector is key to extraordinary advancement. Electronic Health Records (EHR) are stored in the health care system in an unstructured and categorically distributed way. We have a ICD-9 Labeled data which is being used to find attention on clinical notes based on predicted codes for clinical text.

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ML-Techniques_for_network_tracing

Network Statics observed for one hour at Campus of Politecnico di Torino. The txt file contains all data necessary to understand traffic flow in any bounded Network.

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ImageClassification_for_MNIST

Digitization of documents has been a prime consensus among developing countries nowadays. This is not only listing the grey economy but also to keep track of infrastructure development in the digital world.

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Chatbot-for-Information-Retriveal

This chatbox is part of a course-project "https://www.coursera.org/learn/language-processing". All data is provided by course and this can only be used for learning Purpose.

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GeneticAlgorithms

Genetic algorithms have gain popularity recently owing to its similarity to genetic evolution and use in optimization techniques

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Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection

Source code for paper: https://ieeexplore.ieee.org/abstract/document/9816283

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UncertaintyNN

Implementation and evaluation of different approaches to get uncertainty in neural networks

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