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
This project uses various decision tree algorithms to generate features for learning a linear separator
This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)
This repository contains a dataset for hate speech detection on social media platforms.
Computer vision feature extraction toolbox for image classification
FMA: A Dataset For Music Analysis
FSA (Fisheries Stock Assessment) package provides R functions to conduct typical introductory fisheries analyses. See installation instructions further below.
A systematic NLP framework that uses diachronic word embeddings to trace semantic shifts or variations in the context of words over time in the Greek language.
Clustering data generators
Hidden Markov Models in Python, with scikit-learn like API
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Distributed Asynchronous Hyperparameter Optimization in Python
WEKA filter that uses LIRE to extract image features
Image feature extraction in Python
JCLAL is a general purpose framework developed in Java for the active learning research area.
Free Java library for image features and point/region detectors used in ComputerVision
kapre: Keras Audio Preprocessors
L Kuncheva and M Galar. Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier, ICDM 2015
Tutorials on how to use pandas effectively to do data analysis
Lagged Fibonacci Generator
Pool-based active learning in Python
Python library for audio and music analysis
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.