(Title Redacted)
Nic Becker, Brett Larsen, Stanislav Fort
[Report Redacted]
(Title Redacted)
Ryan Andrew Chi, Patrick Yuhao Liu, Nathan Gyoohyun Kim
[Report Redacted]
Open-Ended Generative Commonsense Question Answering with Knowledge Graph-enhanced Language Models
Hanson Hanxiang Lu
Predicting the Adverse Events Following Receipt of mRNA Based COVID 19 Vaccines
Xiaojuan Liu, Yirong Yang
Towards Feature Sparsity in Large Models: Applications of LassoNet in Image Classification
Jonathan Yi Tseng, Pratham Soni, William Zhang
Optimizing Stock Trading Strategy with Reinforcement Learning
Bradford J. Lin, Wilson Wenda Liang, Mai Lan Nguyen
Applying Deep Reinforcement Learning to Control a Rocket Vehicle in Hover using Thrust Vectoring
Christopher Lu Osgood
Solving the Rubik's Cube with Deep Reinforcement Learning Using Multi-Headed Models
Kiyohiro Nakayama, Hanson H Hao, WenXin Dong
Dyadic Gender Composition and Task Classification Using fNIRS Hyperscanning Data
Liam Anthony Kruse
Imitation Learning in Macroeconomics: To Save or not to Save?
Sikata Bela Sengupta, Rafael Xavier Esteves
Deep Brain Inference from Cortical Functional Magnetic Resonance Imaging Measurements
Marc Schlichting
Machine-learning based prediction of COVID-19 and the effectiveness of interventions
Yunjae Hwang, HEEGWANG ROH
Detecting and predicting earthquake ground motion directionality patterns
Rodrigo Ivan Silva Lopez, Alan John Poulos
Using Unsupervised Learning to build a binary classifier graph for multiclassification
Gabriel Spil
Relevance of classical models in the paradigm of convolution neural networks
Pujan Aloke Biswas, Hefu Pan
Neural Network Training under Input-Output Set Constraints using Reachability and Differentiable Collision Checking
Adam Dai, Derek Cutler Knowles
Predicting myocardial infarction risk using supervised and unsupervised machine learning methods
Katie Shi, Katelyn Bechler, Vivian Ho
ChePT-2: Advanding the Application of Deep Neural Transformer Models to Chess Move Prediction and Self-Commentary
Harry Mellsop, Colton Orion Swingle, Collin Schlager
Trolls, Haters, or Teammates: Classifying Sentiment in the Langeuage of PvP Game Communications
Melinda Zhu, Thomas Haoze Yang, Kevin Walter Borst
Sentiment Analysis of Chinese Microblog Posts on Attitude Toward Vaccination Since Outbreak of Covid 19
Sylvia Yuan, Yifei He, Zhaoqiang Bai
Mole or Melanoma: An Exploration of Melanoma Classification
Tom Cole Welch, Drew Wadsworth, Sophie Jasmin Parsa
Position-independent Human Activity Recognition using Smartphone Sensors Via Machine Learning
Zhe Yan
Crowdfunding: Predicting Kickstarter Project Success
Benjamin Henly Wittenbrink, Sauren Khosla
Predicting Mortgage Backed Securities Prepayment Using Machine Learning Methods
John Boccio, Chong Guo, Christopher Patrick Cameron
Prediction of Invasive ICU Procedures From Electronic Health Record Data
Jiwoo Lee, Keaton Ollech, Alex Kern
Understanding key predictive covariates for maternal mortality in Nigeria
Sameer Sundrani, Cora Isabel Wendlandt, Amy Yue Zhang
Image Classification of Pneumonia from Chest X Rays
Jasper den Otter, Alexander Lerner, Oscar O'Rahilly
Application of Machine Learning Methods to Predict the Level of Building Damage in the Nepal Earthquake
Yitian Liang
Demand Forecasting with Machine Learning Techniques in Supply Chain Management
Runqiu Shi, Boshi Huang
Predicting Cell Types and Disease Status in Acute Myeloid Leukemia
Raymond Yin, Vardhaan Ambati
Recognizing Ringworm in Canis lupis familiaris or Felis catus
Sophia Luisa Andrikopoulos, Eden Grown-Haeberli
Hopper: Reinforcement Learning Based Control on a Wheeled Bipedal Robot
Aaron Zachary Schultz, Parthiv Nandakumar Krishna
Pathway Scores: Feature Engineering for Age Prediction from Gene Expression Data
Rishabh Raj Kapoor, Yash Pershad
Towards Localizing Nomadic Pastoralist Settlements from Remote Sensing Data: Proposal of a Novel Dataset of Settlements in Nyangatom, Ethiopia and Exploration of Deep Learning Classification Methods
Benjamin Cheung Liu
Rewriting Children's Stories for Different Reading Levels
Feiyang Liu, Bochen Zhang, Yiqun Tian
Predicting market volatility and building short term trading strategies using data from Reddit's WallStreetBets
Abhishek Raghunathan, Shashank Rammoorthy, Kiara Nirghin
Is Pitchfork Out of Pitch? Investigating Bias in Pitchfork Album Reviews
Kimberly Kathleen Batdorf, Colin Hall Kalicki, Ayush Pandit
ML-Based Collaborative Filtering for Cross-Cultural Music Recommendations
Stephan Sharkov, Yuzu Marie-Christine Ido, Eunice Yang
Predicting Real GDP Growth Using Regulatory and Political Indicators
Rachael Liu Wang, Andrew Hugh Conkey
Applying machine learning algorithms to identify and classify brain scans as having a risk of Alzheimer's disease
Ricky Anthony Parada, Ian Yue Han Ng
GrES: Group Evolutionary Strategies for Sample Efficient Direct Policy Learning
Coen R Armstrong, Diego Jasson
Implementing Fairness Constraints in Credit Rating Prediction
Jodie Anna Bhattacharya, Arthur Lee, Andrew Michael Semenza
Comparing Machine Learning Techniques on the Task of Fake News Detection
Yining Zhu, Qianli Song
Multi-layer perceptron Neural Networks and Time Series Forecasting in Portfolio Opimization
Tiffany Zhao, Alina Chou, Edgar Miguel Roman
Using Machine Learning Methods to Classify urban Heat Islands
Jennifer Jing Xu, Susan Chen Chen
EnJa: a Reading Level Appropirate Japanese Reading Recommender
Hanna Yongeun Lee, Issac Bevers
Classification of Invalid Page Content for Topic Modeling Pipelines of Web Browsing Data
Natalie Marie Cygan
A comparative study of reinforcement learning techniques for analog electronic design automation
Kannan Sankaragomathi, Qingwei Zeng, Huafan Cai
Multi-Intrumental Genre Transfer Using CycleGan
Justin Young, Mac Broido, Emmanuel Ntse Ayumba
Encryption and Machine Learning: How Classification May Be Impacted by Encryption
Meg Richey, Yosheb M Getachew, Joshua Mosa Shongwe
Machine Learning Classification of Bacterial vs Fungal Keratitis from Photographs
Kevin Titat Supakkul, Kimmy Chang, Ryan Mason Beauchamp
LAMANAS: Loss Agnostic and Model Agnostic Meta Neural architecture Search for Few-Shot Learning
Sergio Charles, Gordon Chi, Gil Kornberg
Evaluating the textbugger NLP Attack on a State-of-the-Art Sentiment Classification Model
Seiji Eicher
Towards a Machine Learning Based Algorithm for Performing Low Brightness Photometry using Star Shape
Alec Milton Lessing