George Balaouras (mpalaourg)

mpalaourg

Geek Repo

Company:EY

Location: Thessaloniki, Greece

Home Page:https://mpalaourg.me/

Twitter:@mpalaourg

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George Balaouras's repositories

Thesis

Data Collection and Analysis of Energy Consumption of Mobile Phones using Machine Learning Techniques

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Optimization_Techniques

Assignments for "Optimization Techniques" course of THMMY in AUTh.

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CA-SUM

A PyTorch Implementation of CA-SUM from "Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames", Proc. ACM ICMR 2022

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FuzzySystems_Classification

Fourth Assignment for "Fuzzy Systems" course of THMMY in AUTh.

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FuzzySystems_Regression

Third Assignment for "Fuzzy Systems" course of THMMY in AUTh.

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PGL-SUM

A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization", Proc. IEEE ISM 2021

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RTES_FinalTask

Final Assignment for "Real Time Embedded Systems" course of THMMY in AUTh.

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SystemModeling

Assignments for "System Simulation and Modeling" course of THMMY in AUTh.

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DIP_Image_Segmentation

Second Assignment for "Digital Image Processing" course of THMMY in AUTh.

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Multimedia

Assignment for "Multimedia Systems and Virtual Reality" course of THMMY in AUTh.

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ComputerNetworks_I_Assignment

Assignment for "Computer Networks I" course of THMMY in AUTh.

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ComputerNetworks_II_Assignment

Assignment for "Computer Networks II" course of THMMY in AUTh.

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DIP_Image_Formation

First Assignment for "Digital Image Processing" course of THMMY in AUTh.

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F1_DataAnalysis

Data analysis of Formula 1 seasons, uncovering trends, statistics, and key insights from the pinnacle of motorsports.

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FashionMNIST-PyTorch

Training my first Neural Network model using FashionMNIST and PyTorch

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OperatingSystems_MyBash

Final Assignment for "Operating Systems" course of THMMY in AUTh.

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RTES_TASK1

First Assignment for "Real Time Embedded Systems" course of THMMY in AUTh.

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XAI-SUM

A PyTorch implementation of our attention-based method for explainable video summarization, presented in "Explaining video summarization based on the focus of attention" (IEEE ISM 2022)

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