Name: Stamatis Karlos
Type: User
Company: Aristotle University of Thessaloniki (AUTH)
Bio:
Elect. Comp. Eng. Graduate, holding Ph.D. in the field of ML. Current Research Interests: Semi / Weakly supervised learning. Instructor in DS classes.
Location: Thessaloniki
Blog: https://intelligence.csd.auth.gr/csd-people-categories/post-docs/
Stamatis Karlos's Projects
Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnlysis.org)
Active learning toolbox for MATLAB
Software and documentation from the active learning project on interactive classification.
Active Learning in R
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
Active Learning
This github has been created for providing an implementatio of AL+SSL approach, which has been submitted to NCAA journal.
Deep Learning - Neural network (RNN, LSTM & GRU)
MATLAB Active Learning Toolbox for Remote Sensing
Association Rules Mining
This is the code notebook for the blog post on using Python and Auto ARIMA
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
A direct mirror of Johannes Baagøe's wiki on implementations of Randomness in Javascript.
Code for the "Build Your Own Search Engine" workshop
CNNs for sentence classification
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
an active learning framework in python
General Assembly's Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
common data analysis and machine learning tasks using python