Joseph Bockhorst

According to our database1, Joseph Bockhorst authored at least 18 papers between 2000 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center.
CoRR, 2021

2020
Designing and deploying insurance recommender systems using machine learning.
WIREs Data Mining Knowl. Discov., 2020

2019
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Using Discriminative Graphical Models for Insurance Recommender Systems.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2011
A Machine Learning Approach to Identifying Sections in Legal Briefs.
Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference 2011, 2011

2010
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2007
Discovering Patterns in Biological Sequences by Optimal Segmentation.
Proceedings of the UAI 2007, 2007

Connecting quantitative regulatory-network models to the genome.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2004
Markov Networks for Detecting Overalpping Elements in Sequence Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets.
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

2003
A Bayesian Network Approach to Operon Prediction.
Bioinform., 2003

Predicting bacterial transcription units using sequence and expression data.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

2002
Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.
Proceedings of the Machine Learning, 2002

2001
Refining the Structure of a Stochastic Context-Free Grammar.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000
A Probabilistic Learning Approach to Whole-Genome Operon Prediction.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000


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