Janusz Wojtusiak

According to our database1, Janusz Wojtusiak authored at least 46 papers between 2006 and 2020.

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

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Introduction to the Minitrack on AI and Sustainability: The Use of AI in Sustainability Initiatives.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is Sufficient.
Proceedings of the Advances in Data Mining, 2019

Using GPS to Locate the Missing and Track Wandering in People with Alzheimer's Disease.
Proceedings of the AMIA 2019, 2019

Synthetic Data for Teaching Data Integration in Informatics Graduate Program.
Proceedings of the AMIA 2019, 2019

Generic vs. Specialized Models for Assessing Disabilities among People with Dementia.
Proceedings of the AMIA 2019, 2019

2018
Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.
J. Biomedical Semantics, 2017

C-Lace: Computational Model to Predict 30-Day Post-Hospitalization Mortality.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Extreme logistic regression.
Adv. Data Anal. Classif., 2016

Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis.
Proceedings of the Artificial Intelligence for Knowledge Management, 2016

Visualizing the Effects of Cancers on Relationships Between Comorbidities and Activities of Daily Living.
Proceedings of the AMIA 2016, 2016

Applying Machine Learning Methods to Predict Activities of Daily Living for Cancer Patients.
Proceedings of the AMIA 2016, 2016

Towards Automated Selection of Patient-Specific Education Materials in Ambulatory Care Settings.
Proceedings of the AMIA 2016, 2016

2015
A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014
Rule Learning in Healthcare and Health Services Research.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Creating Clinically Homogeneous Groups of Prostate Cancer Patients.
Proceedings of the AMIA 2014, 2014

2013
Unsupervised Labeling of Data for Supervised Learning and its Application to Medical claims Prediction.
Computer Science (AGH), 2013

Mining Progress Notes for Prediction of Activities of Daily Living.
Proceedings of the AMIA 2013, 2013

Machine Learning-based Detection of Health Data Elements.
Proceedings of the AMIA 2013, 2013

2012
The learnable evolution model in agent-based delivery optimization.
Memetic Comput., 2012

Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery.
J. Intell. Inf. Syst., 2012

Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics.
Comput. Math. Appl., 2012

Semantic Data Types in Machine Learning from Healthcare Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Clinical data analysis using ontology-guided rule learning.
Proceedings of the 2nd International Workshop on Managing Interoperability and compleXity in Health Systems, 2012

Recent Advances in AQ21 Rule Learning System for Healthcare Data.
Proceedings of the AMIA 2012, 2012

Comparison of Classification Learning Methods for Medical Claims Payments.
Proceedings of the AMIA 2012, 2012

2011
Model Learning from Published Aggregated Data.
Proceedings of the Learning Structure and Schemas from Documents, 2011

Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Using Published Medical Results and Non-homogenous Data in Rule Learning.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach.
Proceedings of the International Conference on Complex, 2011

2010
Ryszard S. Michalski: The Vision and Evolution of Machine Learning.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome.
Int. J. Medical Informatics, 2009

Building virtual community in computational intelligence and machine learning [Research Frontier].
IEEE Comput. Intell. Mag., 2009

The LEM3 System for Multitype Evolutionary Optimization.
Comput. Informatics, 2009

2008
Computational intelligence virtual community: Framework and implementation issues.
Proceedings of the International Joint Conference on Neural Networks, 2008

Traffic Prediction for Agent Route Planning.
Proceedings of the Computational Science, 2008

2007
Generalizing Data in Natural Language.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

The Use of Compound Attributes inAQ Learning.
Proceedings of the Intelligent Information Processing and Web Mining, 2006

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results.
Proceedings of the Intelligent Information Processing and Web Mining, 2006

The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Intelligent Optimization via Learnable Evolution Model.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006


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