PUBLICATIONS

 

2020

 

Unital Sums of the Möbius and Mertens Functions

Jeffery Kline

Journal of Integer Sequences, Vol. 23, 2020

Triangulated Rank-ordering of Web Domains

Jeffery Kline, Avram Aelony, Brian Carpenter and Paul Barford

In Proceedings of the ITC32 Conference, Osaka, Japan, September, 2020

Simplicial 2-Complex Convolutional Neural Networks

Eric Bunch, Qian You, Glenn Fung, Vikas Singh

Poster session at the Topological Data Analysis and Beyond: Workshop at NeurIPS 2020

 

Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection

Eric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung

Spotlight session at the Topological Data Analysis and Beyond: Workshop at NeurIPS 2020

A Simple yet Brisk and Efficient Active Learning Platform for Text Classification

Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung

Submitted September 2020.

Applications of Metric Space Magnitude to Machine Learning via Boundary Detection

Eric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung

Submitted September 2020.

Predicting satisfaction after customer's phone interactions: A GNN approach

Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung

IEEE ICDM 2020. DMS 2020.. Sept. 2020.  

Rationale-based Active Learning with Supervised Attention

Teja Kanchinadam, Qian You, Glenn Fung

Workshop on Data Science with Human in the Loop (DaSH). KDD 2020.  

An Interactive Scribe for Guiding Task-Oriented Conversations in Enterprise Call Centers

Devin Conathan, Joseph Bockhorst, Dan Dickinson, Shailesh Acharya, Glenn Fung, Scott Rouse

Workshop on Knowledge Graphs and E-commerce. KDD 2020.  

Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain

Shailesh Acharya, Glenn Fung

Workshop on Conversational Systems Towards Mainstream Adoption. KDD 2020.  

Human-In-The-Loop Topic Discovery with Word Embedding LDA for Insurance Applications

Eric Bunch, Qian You, Glenn Fung

Workshop on Data Science with Human in the Loop (DaSH). KDD 2020.  

Designing and Deploying Insurance Recommender Systems Using Machine Learning

Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung

WIREs Data Mining Knowledge Discovery 2020; e1363. May 2020 

Non-subscribers can contact the authors to request a copy of the paper.

Practical applications of metric space magnitude and weighting vectors

Eric bunch, Dan Dickinson, Jeffrey Kline, Glenn Fung

https://arxiv.org/abs/2006.14063. Feb 6. 2020. 

2021

 

 

 

Domain Agnostic Few-Shot Learning For Document Intelligence

Jaya Krishna Mandivarapu, Eric Bunch,  Glenn Fung.

Submitted. Sept 2021

Low Resource Quadratic Forms for Knowledge Graph Embeddings

Jeff Kline, Devin Conathan, Glenn Fung, Zachary Zhou.

SustaiNLP 2021. Sept 2021

Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process

Peng Shi, Daniel Dickinson, Glenn Fung

Journal of the Royal Statistical Society. Aug 2021.

Deep Learning for Blocking in Entity Matching: A Design Space Exploration. 

Saravanan ThirumuruganathanHan LiNan TangMourad OuzzaniYash GovindDerek PaulsenGlenn  FungAnHai Doan.
Proc. VLDB Endow.  (2021).

A Model for Zero-shot Text Multi-labeling Using Semantics-based Labels

Ananth Raj GV, Daniel Dickinson, Glenn Fung

TransAI 2021.  Sept 2021.

Document Classification and Information Extraction framework for Insurance Applications

Ananth Raj GV, Qian You, Eric Bunch, James Kim, Marepally Santosh, Daniel Dickinson, Glenn Fung

TransAI 2021.  Sept 2021.

knowledge-Based Neural Network Classifiers

Suhass Bhat, Jeff Kline, Glenn Fung

tech report Feb 2021.

Linear Programming with Nonparametric Penalty Programs and Iterated Thresholding

Jeff Kline, Glenn Fung

Submitted April 2021.

You only sample (almost) once: Linear cost self-attention via Bernoulli sampling

Zhanpeng_Zeng, Yunyang XiongSathya N. RaviShailesh AcharyaGlenn FungVikas Singh

ICML 2021. May 2021.

Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

AAAI 2021. Jan 2021.

SGD Distributional Dynamics of Three Layer Neural Networks

Victor LuoYazhen WangGlenn Fung

arXiv.org > cs > arXiv:2012.15036. Jan 2021

Efficient Document Image Classification Using Region-Based Graph Neural Network

Jaya Krishna Mandivarapu, Eric Bunch, Qian You, Glenn Fung

Document Intelligence Workshop @KDD 2021

2019

Knowledge Graph-Driven Conversational Agents

Devin Conathan, Joseph Bockhorst, Glenn Fung

Workshop on Machine learning and Knowledge representation. Neurips 2019.

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains

Sathya N. RaviAbhay VenkateshGlenn Moo FungVikas Singh

Oral presentation at AAAI 2019.

Optimal Word Embeddings for Text Classification Representations

Sukrat Gupta, Teja Kanchinadam, Devin Conathan, Glenn Fung

Frontiers journal. Special issue: Artificial Intelligence in Insurance and Finance. Accepted. Jan. 2020

Mileage Extraction from Odometer Readings

Shialesh Acharya, Glenn Fung

Frontiers journal. Special issue: Artificial Intelligence in Insurance and Finance. Accepted. Nov. 2019

Approximating the Convex Hull via Metric Space Magnitude

Eric Bunch, Dan Dickinson, Glenn Fung

arXiv:1908.02692 [math.AT]

Active Learning for Text Classification using Rationales

Teja Kanchinadam, Rick Lentz, Qian You, Glenn Fung

Poster presented at Midwest Machine Learning Symposium (MMLS), June 2019

Applications of Metric Space Magnitude to Machine Learning

Eric Bunch, Dan Dickinson, Glenn Fung

Conference poster presented at The 1st Midwest Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning, June 2019

Enterprise-scale conversational agents with knowledge graphs, entity refinement and dynamic conversation flows

Joseph Bockhorst, Devin Conathan, Glenn Fung

Technical report, Feb 2019.

Entity Matching Meets Data Science: A Progress Report from the Magellan Project

Yash Govind, Pradap Konda2, Paul Suganthan, Philip Martinkus, Palaniappan Nagarajan, Aravind Soundararajan, Han Li , Sidharth Mudgal, Jeffrey R. Ballard, Haojun Zhang, Adel Ardalan, Sanjib Das, Derek Paulsen, Amanpreet Saini, Erik Paulson, Youngchoon Park, Marshall Carter, Mingju Sun, Glenn M. Fung, AnHai Doan.

SIGMOD 2019, Feb 2019

2018

Using Discriminative Graphical Models for Insurance Recommender Systems

Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Morell, Katie Meissner, Glenn Fung

17th IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2018 (Submitted March 2018)

Ordinal Regression using Noisy Pairwise Comparisons for Quetelet Range Estimation

Luisa Polania, Dongning Wang, Glenn Fung

Winter conference on Applications of Computer Vision. WACV 2019, Sept. 2018

Probabilistic-logic Bots for Efficient Evaluation of Business Rules Using Conversational interfaces

Joseph Bockhorst, Devin Conathan, Glenn Fung

The 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2019). Sept, 2018. 

SDM 2018. Poster @ First workshop on AI in insurance, May 2018.

Discovering Temporal Patterns from Insurance Interaction Data

Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Neeraj Arora, Glenn Fung

The 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2019). Sept, 2018

Cloudmatcher:  A Hands-off Cloud/Crowd Service for Entity Matching

Yash Govind, Erik Paulson, Palaniappan Nagarajan, Paul Suganthan, AnHai Doan, Youngchoon Park, Glenn Fung, Devin Conathan, Marshall Carter, Mingju Sun

Proc. VLDB Endow., 2018, Aug. 2018.

Efficient Relative Attribute Learning using Graph Neural Networks

Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh

European conference in computer vision 2018 (ECCV), 2018, May 2018.

Learning View Invariant Semantic Segmentation for UAV Video Sequences

Abhay Venkatesh, Glenn Fung, Vikas Singh

SDM 2018. First workshop on AI in insurance, May 2018

RoCKET: Robust Classification and Knowledge Extraction from Text

Glenn Fung, Devin Conathan, Sukrat Gupta, Shi Yu, Luisa Polania

SDM 2018. First workshop on AI in insurance, May 2018

An Active Learning-Driven Model for Subtle Sentiment Analysis

Sukrat Gupta, Glenn Fung

SDM 2018. First workshop on AI in insurance, May 2018

Active Sparse Feature Selection Using Deep Convolutional Features for Image Retrieval

Devin Conathan, Urvashi Oswal, Robert Nowak

SDM 2018. First workshop on AI in insurance, May 2018

Compressed Sensing ECG using Restricted Boltzmann Machines

Luisa Polania, Rafael Plaza

Biomedical Signal Processing and Control (Elsevier Journal), Jan 2018.

2017

Group-Level Emotion Recognition using Deep Models on Image Scene, Faces, and Skeletons

Xin Guo, Luisa Polania, Kenneth Barner

19th International Conference on Multimodal Interaction (ICMI), Nov 13-17, 2017

T-patterns in Business

Neeraj Arora, Srinivas Tunuguntla, Glenn Fung

SSRN (https://ssrn.com/abstract=3066839), Sept. 2017

An Insurance Recommendation System Using Bayesian Networks

Maleeha Qazi, Glenn Fung, Katie J. Meissner, Eduardo R. Fontes

ACM RecSys, Aug. 27-31, 2017

Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center

Joseph Bockhorst, Shi Yu, Luisa Polania, Glenn Fung

The European Conference on Machine Learning (ECML), Aug. 2017

Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing

Luisa Polania, Kenneth Barner

IEEE Transactions on Signal Processing, Jun. 2017

2016

Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction

Joe Bockhorst, Yingjian Wang, Sukrat Gupta, Maleeha Qazi, Mingju Sun, Glenn Fung

15th IEEE International Conference on Machine Learning and Applications (ICMLA), Dec. 2016

2015

Unsupervised and Semisupervised Classification via Absolute Value Inequalities

Glenn Fung, Olvi Mangasarian

Journal of Optimization Theory and Applications 168(2) 2016, 551-558, May 2014