skaraoglu

Approximate-Inference

Focusing on approximate inference methods and comparing their effectiveness on certain scenarios.

BernoulliNB-MultinomialNB

Bernoulli and Multinomial Naive Bayes classifiers are trained and tested on different datasets. We present and compare the accuracy scores for both Bernoulli NB and Multinomial NB models.

CNN-and-RNN

Experiment with PCA and CNN on CIFAR10 dataset, time series data analysis with LSTM and GRU

Community-Detection-on-Graphs-with-Multiple-Layered-Community-Structure

This project focuses on the community structure analysis on graphs with multiple layers of community structures embedded in it. To conduct experiments on multiple layers of community structures in the graph, graphs that are based on the same nodes but wired with different edges are merged. Then the merged graph is analyzed by different techniques - such as community detection algorithms, overlapping community detection algorithms, nested community detection algorithms - to recover information about community structures set in the merged graph.

Harmonization-Project

This project creates a random melody and try to get a harmony between selected chord progression and evolved melody.

LordOfTheRings-EmpiricalStudy

The Lord of the Rings novels adapted to cinema with three movies. This project analyzes the structure with scene by scene analysis of the movies, characters with details and some other factors affect the relationship between characters. These variables are used to create a network to see the relations in the Lord of the Rings cinematic universe.

MDD-Analysis

Major Depression Disorder Analysis with Gene Expression and Demographic Symptom Data

Photometric-Stereo

In this paper, we implement a standard photometric stereo algorithm. With the albedo being unknown and not constant for the images, this program takes multiple images and light source direction information as an input and produce the albedo map, surface normals map, heights map and 3d plot of the surface for provided input. All the images used in this project are provided in the homework assignment and stored in "src" folder. Several output plots shown in the work are stored in the "out" folder.

SEITRNet

This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals, allowing for various network types and parameters.

UKF-CoupledOscillatorModel-fMRI

Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data using Coupled Oscillator Model.

skaraoglu/Photometric-Stereo

In this paper, we implement a standard photometric stereo algorithm. With the albedo being unknown and not constant for the images, this program takes multiple images and light source direction information as an input and produce the albedo map, surface normals map, heights map and 3d plot of the surface for provided input. All the images used in this project are provided in the homework assignment and stored in "src" folder. Several output plots shown in the work are stored in the "out" folder.

skaraoglu/Community-Detection-on-Graphs-with-Multiple-Layered-Community-Structure

This project focuses on the community structure analysis on graphs with multiple layers of community structures embedded in it. To conduct experiments on multiple layers of community structures in the graph, graphs that are based on the same nodes but wired with different edges are merged. Then the merged graph is analyzed by different techniques - such as community detection algorithms, overlapping community detection algorithms, nested community detection algorithms - to recover information about community structures set in the merged graph.

skaraoglu/Approximate-Inference

Focusing on approximate inference methods and comparing their effectiveness on certain scenarios.

skaraoglu/BernoulliNB-MultinomialNB

Bernoulli and Multinomial Naive Bayes classifiers are trained and tested on different datasets. We present and compare the accuracy scores for both Bernoulli NB and Multinomial NB models.

skaraoglu/CNN-and-RNN

Experiment with PCA and CNN on CIFAR10 dataset, time series data analysis with LSTM and GRU

skaraoglu/CNN-Experiment

Experimenting with fully connected NNs and CNNs, using the Keras open source package.

skaraoglu/Community-Detection-of-Superimposed-Relational-Structures

Algorithms for “community” or cohesive subgraph detection are frequently used to analyze network representations of complex systems, and constitute an active area of methodological research. Algorithms for overlapping community detection are of particular interest, because it is often unrealistic to form strict partitions of natural systems, with at least some nodes participating in multiple clusters. However, the literature on overlapping communities does not distinguish different sources of potential overlap. This paper begins by discussing randomness, bridging nodes, and superimposed relational structures as three distinct sources of overlapping communities. It then focuses on the third source (neglected in the literature), by constructing test graphs that merge two distinct relational structures and comparing the communities identified by eight partition and overlapping community algorithms. Results show that most algorithms focus on the same source structure in each graph, ignoring the other, although a few algorithms find combined or nested communities from both structures.

skaraoglu/Decision-Tree-and-ANN

This project focuses on the implementation and evaluation of two supervised learning schemes: Decision Trees and Feedforward, Multilayer Neural Networks.

skaraoglu/Decision-Tree-and-Naive-Bayes

Decision Tree and Naive Bayes implementation and experiments.

skaraoglu/drsenweb

skaraoglu/Face-Recognition-Analysis-of-Triplet-Loss-based-Neural-Networks

Face recognition gained popularity in computer vision and the number of methods and techniques used in the process are increased. This paper provides experimental analysis on face recognition process with Triplet Loss function based network architectures. We implemented several different techniques to improve the overall computation time of the process - to be able to implement live detection on low computational resources - and we compared the results.

skaraoglu/Fairness-and-Bias

This report focuses on Fairness and Bias in Machine Learning (ML). Reviewed some researches that influenced the search of fairness in ML systems. We provide some insights to explain these concepts and how to avoid the bias and ensure fairness in ML system designs.

skaraoglu/Harmonization-Project

This project creates a random melody and try to get a harmony between selected chord progression and evolved melody.

skaraoglu/MDD-Analysis

Major Depression Disorder Analysis with Gene Expression and Demographic Symptom Data

skaraoglu/SEITR

An Extended SIR Mathematical Model for Lumpy Skin Disease and Associated Properties

skaraoglu/SEITRNet

This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals, allowing for various network types and parameters.

skaraoglu/UKF-CoupledOscillatorModel-fMRI

Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data using Coupled Oscillator Model.

skaraoglu/Harmonization-Reloaded-Mathematica

Evolutionary music project to provide harmonization between user selected chord progression and random melody in Mathematica.

skaraoglu/kMeans-and-ExpectationMaximization

Conducted the experiment on three part; first, evaluated the clustering results for Gaussian distribution datasets, following, utilized k-Means algorithm for image compression and employed the algorithms on Mall Customers dataset.

skaraoglu/kNN-and-Local-Search

In this project, the main focus is the adaptation with nearest neighbor and local search methods.

skaraoglu/LogisticRegression-and-GaussianNB

Gradient Naive Bayes and Logistic Regression with Gradient, L1 and L2 regularization implementations from scratch

skaraoglu/MaximumLilkelihoodEstimation

Deep Learning Homework 1: Maximum Likelihood Estimation

skaraoglu/Multi-armed-bandits

Multi-armed bandits experiment with epsilon-greedy, UCB, Thompson sampling, Bayesian-greedy and HA-UCB

skaraoglu/NeuralNetwork

Simple Neural Network implementation with only numpy.

skaraoglu/PCA-with-MultinomialNB

Trained and tested a Multinomial Naive Bayes algorithm on MNIST dataset, implemented PCA on MNIST dataset, then trained and tested the same Multinomial NB classifier with the results of different PCA applications.

skaraoglu/project_smartyields

Data Science Foundations class project from Selim Karaoglu and Jasper Green

skaraoglu/qmk_firmware

Open-source keyboard firmware for Atmel AVR and Arm USB families

skaraoglu/tuner

skaraoglu/UKF

skaraoglu/Warmth-Experiment

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