PUBLICATIONS
2020
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Unital Sums of the Möbius and Mertens Functions
Jeffery Kline
Journal of Integer Sequences, Vol. 23, 2020
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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
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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
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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.
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Applications of Metric Space Magnitude to Machine Learning via Boundary Detection
Eric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung
Submitted September 2020.
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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.
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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.
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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.
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Shailesh Acharya, Glenn Fung
Workshop on Conversational Systems Towards Mainstream Adoption. KDD 2020.
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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.
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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.
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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
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Domain Agnostic Few-Shot Learning For Document Intelligence
Jaya Krishna Mandivarapu, Eric Bunch, Glenn Fung.
Submitted. Sept 2021
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Low Resource Quadratic Forms for Knowledge Graph Embeddings
Jeff Kline, Devin Conathan, Glenn Fung, Zachary Zhou.
SustaiNLP 2021. Sept 2021
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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.
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Deep Learning for Blocking in Entity Matching: A Design Space Exploration.
Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan.
Proc. VLDB Endow. (2021).
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A Model for Zero-shot Text Multi-labeling Using Semantics-based Labels
Ananth Raj GV, Daniel Dickinson, Glenn Fung
TransAI 2021. Sept 2021.
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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.
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knowledge-Based Neural Network Classifiers
Suhass Bhat, Jeff Kline, Glenn Fung
tech report Feb 2021.
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Linear Programming with Nonparametric Penalty Programs and Iterated Thresholding
Submitted April 2021.
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You only sample (almost) once: Linear cost self-attention via Bernoulli sampling
Zhanpeng_Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh
ICML 2021. May 2021.
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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.
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SGD Distributional Dynamics of Three Layer Neural Networks
Victor Luo, Yazhen Wang, Glenn 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
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2019
Knowledge Graph-Driven Conversational Agents
Devin Conathan, Joseph Bockhorst, Glenn Fung
Workshop on Machine learning and Knowledge representation. Neurips 2019.
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Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
Oral presentation at AAAI 2019.
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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
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Mileage Extraction from Odometer Readings
Shialesh Acharya, Glenn Fung
Frontiers journal. Special issue: Artificial Intelligence in Insurance and Finance. Accepted. Nov. 2019
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Approximating the Convex Hull via Metric Space Magnitude
Eric Bunch, Dan Dickinson, Glenn Fung
arXiv:1908.02692 [math.AT]
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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
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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
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Joseph Bockhorst, Devin Conathan, Glenn Fung
Technical report, Feb 2019.
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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)
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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
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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.
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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
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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.
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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.
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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
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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
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An Active Learning-Driven Model for Subtle Sentiment Analysis
Sukrat Gupta, Glenn Fung
SDM 2018. First workshop on AI in insurance, May 2018
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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
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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
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Neeraj Arora, Srinivas Tunuguntla, Glenn Fung
SSRN (https://ssrn.com/abstract=3066839), Sept. 2017
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An Insurance Recommendation System Using Bayesian Networks
Maleeha Qazi, Glenn Fung, Katie J. Meissner, Eduardo R. Fontes
ACM RecSys, Aug. 27-31, 2017
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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
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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