Name: Panagiotis Kaliosis
Type: User
Company: KTH Royal Institute of Technology & NCSR Demokritos
Bio: BSc, MSc in Computer Science @ AUEB
Machine Learning Research Engineer @KTH & @NCSR Demokritos
Location: Athens, Greece.
Blog: [email protected]
Panagiotis Kaliosis's Projects
So this is an implementation of the "Game of life" I created as part of AUEB's Python course in my rookie year. The rules are really simple and whoever interested can read them (plus more info on the subject) following this link: https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life.
Developing and exploring different statistic and ML techniques in order to understand the behaviour and predict the values of Spotify's Valence metric.
Sentiment analysis on a movie reviews dataset using CNNs.
Sentiment analysis on a huge public dataset containing movie reviews. This is a multiclass single-label classification. There are four distinct classes.
Sentiment analysis on a movie reviews dataset using RNNs. There are four possible classes (multiclass single-label).
Sentiment analysis on a movie reviews dataset using Transformers.
Sentiment analysis on a public dataset containing tweets from the U.S. region. We utilize linear classifiers in order to classify the tweet's sentiment in positive or negative.
Simple academic theme for scientist personal page
Implementation of one well-known CS problem, the "Rat in a maze". It is written in Java and uses backtracking techniques.
A Software Engineering project, developing a Building Administration app called "LeAdmin".
My very first coding project at AUEB. It is an amateur implementation of the famous Hangman game using Python. It may be helpful to rookie programmers who want to check an easy and understandable (hope so) implementation of the game.