Joseph Bockhorst

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 5

Top Topics

Recommender Systems

Optimal Segmentation

Discovering Patterns

Top Venues

WIREs Data Mining Knowl. Discov.

Publications

Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. CoRR (2021)
Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung
Designing and deploying insurance recommender systems using machine learning. WIREs Data Mining Knowl. Discov. 10 (4) (2020)
Joseph Bockhorst, Devin Conathan, Glenn Moo Fung
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces. AAAI (2019)
Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung
Using Discriminative Graphical Models for Insurance Recommender Systems. ICMLA (2018)
Joseph Bockhorst, Shi Yu, Luisa F. Polanía, Glenn Fung
Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center. ECML/PKDD (3) (2017)
Joseph Bockhorst, Nebojsa Jojic
Discovering Patterns in Biological Sequences by Optimal Segmentation CoRR (2012)
Scott Vanderbeck, Joseph Bockhorst, Chad Oldfather
A Machine Learning Approach to Identifying Sections in Legal Briefs. MAICS (2011)
Chris Barber, Joseph Bockhorst, Paul Roebber
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting. NIPS (2010)
Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven
Connecting quantitative regulatory-network models to the genome. ISMB/ECCB (Supplement of Bioinformatics) (2007)
Joseph Bockhorst, Nebojsa Jojic
Discovering Patterns in Biological Sequences by Optimal Segmentation. UAI (2007)
Joseph Bockhorst, Irene M. Ong
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets. ILP (2004)
Joseph Bockhorst, Mark Craven
Markov Networks for Detecting Overalpping Elements in Sequence Data. NIPS (2004)
Joseph Bockhorst, Mark W. Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner
A Bayesian Network Approach to Operon Prediction. Bioinform. 19 (10) (2003)
Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven
Predicting bacterial transcription units using sequence and expression data. ISMB (Supplement of Bioinformatics) (2003)
Joseph Bockhorst, Mark Craven
Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. ICML (2002)
Joseph Bockhorst, Mark Craven
Refining the Structure of a Stochastic Context-Free Grammar. IJCAI (2001)
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. ICML (2000)
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB (2000)