• Recommender System for Scientific Explorations 

  Yu, Vincent (2021)

  Conventional recommender systems tend to mainly focus on recommendation accuracy and are generally optimized to achieve the maximum predicted recommendation relevance. However, as many researchers now noticed, accuracy ...
• Learning Hierarchical Structure with LSTMs 

  Paris, Tomas (2021)

  Recurrent Neural Networks (RNNs) are successful at modeling languages because of their ability to recognize patterns over an undefined input length using their internal memory. However, the data kept in their memory decays ...
• Learning Natural Selection with Convolutional Neural Networks 

  Zhang, Mingxuan (Kira) (2021)

  Convolutional Neural Networks (CNNs) is one of the most efficient approaches to analyze population genetics data and draw conclusions on the species' evolution. Population genetics is one approach people take to learn about ...
• Ancestral DNA Reconstruction Using Pedigrees 

  Wiggers, Alton (2021)

  In this thesis we look at the purpose, process, and application of DNA reconstruction using a known family tree, known as a pedigree. First, we see the applications of having a pedigree with DNA sequences for all individuals ...
• Understanding Convolutional Neural Networks Applied to COVID-19 

  Wang, Yuchen (2021)

  With the great advantage of DNA sequencing at the end of the 20th century, researches are provided with larger and far more complicated genetic datasets to study. They tried to infer human evolutionary facts like natural ...
• Genetic Reconstruction in Pedigrees to Study Disease Inheritance 

  Spano, Lizzie (2021)

  In this paper we look at ways to reconstruct DNA in a pedigree. We start by discussing what a pedigree is, how it can be used to learn more about a population, and some challenges of reconstructing its genetic information. ...
• Improvement on the interpretability of convolutional neural network for population genetics 

  Xu, Yongxin (2021)

  Population genetics is a study of genetic variations in populations and evolutionary forces that explain these variations. Relevant studies are usually based on simulated genomic data in matrix form. Many existing methods, ...
• Single Deletions in Source Sentences Trigger Hallucinations in English-Chinese Machine Translation with Transformers: An Analysis 

  Shi, Ruikang (2021)

  Machine translation is widely used by people. However, all machine translation models can sometimes make mistakes. I review some previous studies on possible errors in machine translation. Then I elaborate on the problem ...
• Improving Sentence-final Verb Prediction in Japanese using Recurrent Neural Networks and Sentence Shuffling 

  Su, Amberley (Zhan) (2021)

  This thesis is about analyzing the different approaches to verb prediction in machine translation, mainly between languages with different grammar structures. We will introduce the importance of verb prediction in translation ...
• Navigation Assistive Technologies for People with Visual Impairments 

  Ogolla, Ian (2021)

  Navigating unfamiliar environments independently is a challenging task for people with visual impairments (PVIs). Navigation Assistive Technologies (NATs) enhance spatial cognition and independent navigation for PVIs through ...
• Perfect Bayesian Equilibria in Repeated Sales with Multiple Buyers 

  Nakatani, Kaito (2021)

  In an auction with repeated sales of the same item, sellers try to learn buyers' values of the item and buyers try to hide it. At a Perfect Bayesian Equilibrium, sellers maximize their profit against buyers' strategies and ...
• Effective Axiomatizations of Simple Ordered Structures 

  Meyer-Lee, Jackson (2021)

  Axiomatization in finite model theory is the process of finding a set of axiom formulas from which all other formulas in a theory can be derived. Applied to the theory of a structure like "binary strings" or "natural number ...
• On the Security of Wearable Sensor-based Gait Authentication 

  Mo, Jun (2021)

  Gait is the style or manner in which someone walks. The usage of gait analysis could lead to the next breakthrough in biometric authentication systems. Gait is an ideal biometric for authentication systems for non-intrusive ...
• Understanding machine learning models through Shapley values and the associated uncertainties 

  Ngo, Jason (2021)

  To explain black-box machine learning models, one popular method is to calculate the feature importance using Shapley value, a solution to distribute the payoff among the players in a coalition game. Though popular, ...
• Quantifying Uncertainty in Shapley-value-based Explanations for Machine Learning Models 

  Li, Ruiming (2021)

  In this thesis, I study an approach inspired by game theory to explain how features in the input data affect the output of machine learning models without access to the models' internal working. This approach assigns a ...
• On the Possibility of Fooling Keystroke-Based Lie Detection Systems 

  Maryam, Aleena (2021)

  Keyboard-based lie detection systems are a relatively recent development. In this work, we overview some of the methods by which lie detection models using typing characteristics are created and in which we list methods ...
• Using HCI to Promote Mindfulness in Student Decision-Making in College 

  Muno, Isabella (2021)

  In the widely studied field of student decision-making, a growing online presence creates an important sub-field - technological mindfulness - which can be studied through human computer interaction (HCI). Technological ...
• 1-D TV: A Computational Investigation into the Lexical Representation of Black Womanhood In Reality Television News 

  Habtu, Blien (2021)

  It is well-established that when categorizing lexical associations of words in news corpora, women and minorities tend to be associated with negative terms (Manziniet al. 2019). This harm is also carried through other forms ...
• Performance Evaluation Metrics for Biometrics-based Authentication Systems 

  Hong, Yuxuan (2021)

  Research has made many advances in many fields of biometric systems. However, there is a lack of proper research in the performance evaluation field for biometric authentication systems. In this work, we synthesize key ...
• Augmenting Data to Improve Incremental Japanese-English Sentence and Sentence-final Verb Translation 

  Goldman, Benjamin (2021)

  Final verb prediction has been shown to help expedite simultaneous machine translation when translating between languages with different word orders. Prediction allows a system to begin translating earlier because it has ...

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