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Name: Payam Barnaghi
Type: User
Company: Imperial College London
Name: Payam Barnaghi
Type: User
Company: Imperial College London
A Digital Biomarker for Identifying Changes in Daily Activity Patterns
A prediction-based data reduction method that exploits LMS adaptive filters in the Internet of Things
Basic ML code in python/mathlab
Demo of my code and expirements on cancer symptoms and their symptom clusters. Please see the following site.
An introduction to the UTI risk analysis in people with dementia project at the Uk DRI Care Research and Technology Centre
Relevant papers in Continual Learning
NMA Computational Neuroscience course
Data ingestion tools to standardise data-driven analysis across data domains e.g., IoT, behavioural, physiological. (UK DRI Care Research & Technology)
Code for the Entropy Pipeline
Implementation of folded Folded Hamiltonian Monte Carlo for data imputation and augmentation on data collected from cancer patients who self-reported their symptoms experience during chemotherapy by a team in the School of the Nursing University of California.
This project contains the implementation of using the generative models in continuous authentication on motion sensor data from the H-MOG dataset.
IEEE SIG on Big Data Intelligent Networking
The Knowledge Acquisition Tool (KAT) is a software toolkit that implements the state-of-the-art machine learning and data analytic methods for sensors data. The algorithms and methods implemented in KAT are used for processing and analysing the smart city data in the CityPulse project.
This work proposes a segmentation and aggregation method which represents time series frames as vectors by first applying Piecewise Aggregate Approximation (PAA) and then applying Lagrangian Multipliers. This method allows representing the continuous data as a series of patterns that can be used and processed by various higher-level methods.
Code for the Loss Adapted Plasticity Algorithm
The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset. Developed by Louise Rigny (Great Ormond Street Hospital for Children)
The library to access the UK DRI minder study data developed by Alex Capstick and Honglin Li.
Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)
MSc Projects
Kexin Fan (MSc project) - Neuroscience-Inspired Machine Learning for Analysing Multi-Source Data with Varied Prediction Complexity
Basic code on synaptic plasticity in neural networks
Code made available for paper on Non-Conforming Data Sources
Wellcome Trust Ideathon (Winner of Best Mental Health Entry) - This is an early stage and preliminary work to address the challenges of participant retention in long-term mental health clinical trials by providing researchers with estimation and guidance
Task Conditional Neural Networks (TCNN) leverage the probabilistic neural networks to estimate the probability density of the training samples. Then produce the task likelihood during the test state to fire the task-specific neurons correspondin to the test sampels. TCNN can detect and learn the new tasks fully-automatically without informing the changes to the model.
TIHM: An open dataset for remote healthcare monitoring in dementia
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.