Joseph Bockhorst

18 papers A* 4A 2B 1C 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2021 J jnl
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center.
CoRR
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
2020 J jnl
Designing and deploying insurance recommender systems using machine learning.
WIREs Data Mining Knowl. Discov.
Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung
2019 A* conf
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces.
AAAI
Joseph Bockhorst, Devin Conathan, Glenn Moo Fung
2018 C conf
Using Discriminative Graphical Models for Insurance Recommender Systems.
ICMLA
Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung
2017 — conf
Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center.
ECML/PKDD (3)
Joseph Bockhorst, Shi Yu, Luisa F. Polanía, Glenn Fung
2012 J jnl
Discovering Patterns in Biological Sequences by Optimal Segmentation
CoRR
Joseph Bockhorst, Nebojsa Jojic
2011 — conf
A Machine Learning Approach to Identifying Sections in Legal Briefs.
MAICS
Scott Vanderbeck, Joseph Bockhorst, Chad Oldfather
2010 — conf
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting.
NIPS
Chris Barber, Joseph Bockhorst, Paul Roebber
2007 — conf
Connecting quantitative regulatory-network models to the genome.
ISMB/ECCB (Supplement of Bioinformatics)
Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven
2007 A conf
Discovering Patterns in Biological Sequences by Optimal Segmentation.
UAI
Joseph Bockhorst, Nebojsa Jojic
2004 B conf
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets.
ILP
Joseph Bockhorst, Irene M. Ong
2004 — conf
Markov Networks for Detecting Overalpping Elements in Sequence Data.
NIPS
Joseph Bockhorst, Mark Craven
2003 J jnl
A Bayesian Network Approach to Operon Prediction.
Bioinform.
Joseph Bockhorst, Mark W. Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner
2003 — conf
Predicting bacterial transcription units using sequence and expression data.
ISMB (Supplement of Bioinformatics)
Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven
2002 A* conf
Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.
ICML
Joseph Bockhorst, Mark Craven
2001 A* conf
Refining the Structure of a Stochastic Context-Free Grammar.
IJCAI
Joseph Bockhorst, Mark Craven
2000 A conf
A Probabilistic Learning Approach to Whole-Genome Operon Prediction.
ISMB
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
2000 A* conf
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
ICML
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner