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Full-Text Articles in Physical Sciences and Mathematics

Algorithmic Bias Automation: The Effects Of Proxy On Machine-Learned Systems, Emely J. Galeano Jan 2023

Algorithmic Bias Automation: The Effects Of Proxy On Machine-Learned Systems, Emely J. Galeano

Senior Projects Spring 2023

Senior Project submitted to The Division of Science, Mathematics and Computing of Bard College.


Predicting League Of Legends Ranked Games Outcome, Ngoc Linh Chi Nguyen Jan 2022

Predicting League Of Legends Ranked Games Outcome, Ngoc Linh Chi Nguyen

Senior Projects Spring 2022

League of Legends (LoL) is the one of most popular multiplayer online battle arena (MOBA) games in the world. For LoL, the most competitive way to evaluate a player’s skill level, below the professional Esports level, is competitive ranked games. These ranked games utilize a matchmaking system based on the player’s ranks to form a fair team for each game. However, a rank game's outcome cannot necessarily be predicted using just players’ ranks, there are a significant number of different variables impacting a rank game depending on how well each team plays. In this paper, I propose a method to …


Carbon Footprint Of Machine Learning Algorithms, Gigi Hsueh Jan 2020

Carbon Footprint Of Machine Learning Algorithms, Gigi Hsueh

Senior Projects Spring 2020

With the rapid development of machine learning, deep learning has demonstrated superior performance over other types of learning. Research made possible by big data and high-end GPU's enabled those research advances at the expense of computation and environmental costs. This will not only slow down the advancement of deep learning research because not all researchers have access to such expensive hardware, but it also accelerates climate change with increasing carbon emissions. It is essential for machine learning research to obtain high levels of accuracy and efficiency without contributing to global warming. This paper discusses some of current approaches in estimating …


A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos Jan 2020

A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos

Senior Projects Fall 2020

Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …


Credit Risk Analysis In Peer To Peer Lending Data Set: Lending Club, Mohammad Mubasil Bokhari Jan 2019

Credit Risk Analysis In Peer To Peer Lending Data Set: Lending Club, Mohammad Mubasil Bokhari

Senior Projects Spring 2019

This project studies the classification variable ‘default’ in Peer to Peer lending dataset known as Lending Club. The project improved on existing work in terms of accuracy, F-1 measure, precision, recall, and root mean squared error. We explored balancing techniques such as oversampling the minority class, undersampling the majority class, and random forests with balanced bootstraps. We also analyzed and proposed new features that improve the Learner performance.


A Microlensing Detection Algorithm For Wide-Field Surveys, Daniel Godines Alcantara Jan 2018

A Microlensing Detection Algorithm For Wide-Field Surveys, Daniel Godines Alcantara

Senior Projects Spring 2018

Gravitational microlensing is a rare event in which the light from a foreground star (source star) is amplified temporarily as it goes around the Einstein radius of another star (lens star). This only occurs when the two stars align with the line of sight of the observer. The significance of microlensing is that it allows for the detection of planets, as when a planet orbiting the lensing star aligns within the Einstein radius, it acts as an additional lens that further amplifies the light. This results in a gaussian-like light curve with an additional deviation on the curve. Unlike transit …


Mouse Vs. Machine: The Game, Cafferty Aiko Frattarelli Jan 2017

Mouse Vs. Machine: The Game, Cafferty Aiko Frattarelli

Senior Projects Spring 2017

Many modern video games built by big name companies are coded by a group of people together using, and possibly modifying, an already designed game engine. These games usually have another group of people creating the artwork. In this project, I coded and designed a video game from scratch, as well as created all the artwork used in the game. The player controls a mouse character who fights a variety of monsters. In order to create the complexity of the game, I implement basic neural networks as the enemy artificial intelligence, i.e. the decision making process of the enemy. It …


Algorithmic Music Composition And Accompaniment Using Neural Networks, Daniel Wilton Risdon Jan 2016

Algorithmic Music Composition And Accompaniment Using Neural Networks, Daniel Wilton Risdon

Senior Projects Spring 2016

The goal of this project was to use neural networks as a tool for live music performance. Specifically, the intention was to adapt a preexisting neural network code library to work in Max, a visual programming language commonly used to create instruments and effects for electronic music and audio processing. This was done using ConvNetJS, a JavaScript library created by Andrej Karpathy.

Several neural network models were trained using a range of different training data, including music from various genres. The resulting neural network-based instruments were used to play brief pieces of music, which they used as input to create …