Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Finding a Balance Between Interestingness and Diversity in Sequential Pattern Mining
Published in The 14th International Conference on Data Science (ICDATA’18), 2018
Recommended citation: Rina Singh, Jeffrey A. Graves, Lemuel R. Waitman, Douglas A. Talbert. In proceedings of the 14th International Conference on Data Science. ICDATA 2018.
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries
Published in The First International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD) 2019, 2019
Recommended citation: Rina Singh, Jeffrey Graves, Sreenivas Sukumar, and Valentine Anantharaj. Workshop on Big Data Tools and Use Cases for Innovative Scientific Discovery. IEEE BigData 2019.
Fair Predictors under Distribution Shift
Published in Workshop on Fair ML for Health at Conference on Neural Information Processing Systems (NeurIPS) 2019, 2019
Recommended citation: Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara. Workshop on Fair ML for Health at Conference on Neural Information Processing Systems. NeurIPS 2019.
talks
Complex Patterns in Dynamic Attributed Graphs
Published:
Poster presentation on how to find evolving patterns in dynamic attributed graphs.
Subgroup Discovery in Sequential Databases
Published:
Poster presentation of research paper on subgroup discovery in sequential database.
Semi-Supervised Generative Adversarial Networks on Text Data
Published:
Talk on how to use GANs to do semi-supervised learning in text data.
[Code]
Fair Predictors under Distribution Shift
Published:
Invited talk on my recent research paper.
An NLP Classifier for Fraud Detection
Published:
Invited talk related to some of my industry work experience.
[Source Code]
teaching
CSC 7970 : Selected Topics, Unsupervised Machine Learning
Graduate course, Tennessee Tech. University, CSC, 2017
Teaching Assistant
CSC 2710 : Foundations of Computer Science
Undergraduate course, Tennessee Tech. University, CSC, 2017
Teaching Assistant
CSC 6230 : Machine Learning
Graduate course, Tennessee Tech. University, CSC, 2017
Teaching Assistant
CSC 4220 : Machine Learning Lab Classes
Undergraduate/Graduate course, Tennessee Tech. University, CSC, 2018
Responsible for all lab classess and few lecture classes.
- Lab 1 : Introduction to numpy and matplotlib
- Lab 2 : Pandas Introduction
- Lab 3 : Linear Regression
- Lab 4 : Basic data exploration, logistic regression, and basic evaluation
- Lab 5 : Sampling for evaluation
- Lab 6 : Regularized Regression
- Lab 7 : Naive Bayes and K-NN classifiers
- Lab 8 : Support Vector Machines and Grid Search
- Lab 9 : K-Means
Model Selection - Bias/Variance Tradeoff
Graduate course, NYU, CSE, 2019
Lecture on model selection/evaluation and Bias/Variance Tradeoff