NeelKanwal
I am a computer scientist with a passion for developing AI technologies for the public good. Feel free to fork over my work and build on top of it.
@University of StavangerStavanger, Norway
Pinned Repositories
Attention-based-clinical-note-summarization
A new approach to extract clinical summaries from discharge notes
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.
DeepKernelLearning
This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
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.
Equipping-Computational-Pathology-Systems-with-Artifact-Processing-Pipeline
computational-pathology-pipeline
fetus_stress_detection_FHR_UC
Machine learning, Deep learning and signal processing for detecting fetal stress from Electronic Fetal Monitoring
GeneticAlgorithms
Genetic algorithms have gain popularity recently owing to its similarity to genetic evolution and use in optimization techniques
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.
Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection
Source code for paper: https://ieeexplore.ieee.org/abstract/document/9816283
Vision-Transformers-for-Small-Histological-Datasets-Learned-Through-Knowledge-Distillation
Source code for paper: https://arxiv.org/pdf/2305.17370.pdf
NeelKanwal's Repositories
NeelKanwal/Attention-based-clinical-note-summarization
A new approach to extract clinical summaries from discharge notes
NeelKanwal/DeepKernelLearning
This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
NeelKanwal/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.
NeelKanwal/Vision-Transformers-for-Small-Histological-Datasets-Learned-Through-Knowledge-Distillation
Source code for paper: https://arxiv.org/pdf/2305.17370.pdf
NeelKanwal/Equipping-Computational-Pathology-Systems-with-Artifact-Processing-Pipeline
computational-pathology-pipeline
NeelKanwal/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.
NeelKanwal/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.
NeelKanwal/GeneticAlgorithms
Genetic algorithms have gain popularity recently owing to its similarity to genetic evolution and use in optimization techniques
NeelKanwal/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.
NeelKanwal/Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection
Source code for paper: https://ieeexplore.ieee.org/abstract/document/9816283
NeelKanwal/UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks