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<!DOCTYPE html>
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<title>The University of Arizona: MLDA</title>
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<a name="publications"></a>
<div class="page-header">
<h1>Publications</h1>
</div>
<div class="panel panel-warning">
<div class="panel-heading">
<h3 class="panel-title">Book Chapters</h3>
</div>
<div class="panel-body">
<ol>
<li><a target="_blank" href="http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118271866,subjectCd-EE30.html">Adaptive classifiers for nonstationary environments</a><br>
C. Alippi, G. Boracchi, G. Ditzler, R. Polikar, and M. Roveri<br>
Contemporary Issues in Systems, Science and Engineering, IEEE/Wiley Press Book Series, 2015.</li>
<li><a target="_blank" href="http://link.springer.com/referencework/10.1007%2F978-1-4614-6418-1">Feature selection for metagenomic data analysis</a><br>
G. Ditzler, Y. Lan, J.-L. Bouchot, and G. Rosen<br>
Encyclopedia of Metagenomics, 2014. </li>
<li><a target="_blank" href="http://store.elsevier.com/Computational-Systems-Biology/isbn-9780124059269/">Advances in machine learning for processing and comparison of metagenomic data</a><br>
J.-L. Bouchot, W. Trimble, G. Ditzler, Y. Lan, S. Essinger, and G. Rosen<br>
Computational Systems Biology, Springer, 2014.</li>
</ol>
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<div class="panel-heading">
<h3 class="panel-title">Journals</h3>
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<div class="panel-body">
<ol>
<li><a target="_blank" href="http://ieeexplore.ieee.org/abstract/document/7926436/">A Sequential Learning Approach for Scaling up Filter-Based Feature Subset Selection</a><br>
G. Ditzler, N. Bouaynaya, and R. Shterenberg<br>
Signal Processing, 2018, vol. 144, pp. 265-270. </li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/document/8065078">Improvements to Scalable Online Feature Selection Using Bagging and Boosting</a><br>
G. Ditzler, J. LaBarck, J. Ritchie, G. Rosen, and R. Polikar<br>
IEEE Transactions on Neural Networks and Learning Systems, 2017. </li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/abstract/document/7926436/">A Sequential Learning Approach for Scaling up Filter-Based Feature Subset Selection</a><br>
G. Ditzler, R. Polikar, and G. Rosen<br>
IEEE Transactions on Neural Networks and Learning Systems, 2017. </li>
<li><a target="_blank" href="http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0793-8">Fizzy: Feature selection for metagenomics</a><br>
G. Ditzler, J. Calvin Morrison, Y. Lan, and G. Rosen<br>
BMC Bioinformatics, 2015, vol 16, no. 358. [<a target="_blank" href="https://github.com/EESI/Fizzy">code</a>]
</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7219432">Multi-Layer and Recursive Neural Networks for Metagenomic Classification</a><br>
G. Ditzler, R. Polikar, and G. Rosen<br>
IEEE Transactions on Nanobioscience, 2015, vol. 14, no. 6, pp. 608-616.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7296710">Adaptive strategies for learning in nonstationary environments: a survey</a><br>
G. Ditzler, M. Roveri, C. Alippi, and R. Polikar<br>
IEEE Computational Intelligence Magazine, 2015, vol. 10, no. 4, pp. 12-25. [<a target="_blank" href="https://github.com/gditzler/ConceptDriftResources">supplementary</a>]</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6823119">A bootstrap based Neyman-Pearson test for identifying variable importance</a><br>
G. Ditzler, R. Polikar, and G. Rosen<br>
IEEE Transactions on Neural Networks and Learning Systems, 2015, vol. 26, no. 4, pp. 880-886.
[<a target="_blank" href="https://github.com/gditzler/NPFS">code</a>]</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6235959">Incremental learning of concept drift from streaming imbalanced data</a><br>
G. Ditzler and R. Polikar<br>
in IEEE Transactions on Knowledge & Data Engineering, 2013, vol. 25, no. 10, pp. 2283–2301. </li>
</ol>
</div>
</div>
<div class="panel panel-primary">
<div class="panel-heading">
<h3 class="panel-title">Conferences</h3>
</div>
<div class="panel-body">
<ol>
<li><a target="_blank" href="http://www.ecomp.poli.br/~wcci2018/">Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks</a><br>
J. Guo, Z. Liang, E. Scribner, G. Ditzler, N. Bouaynaya and H. Fathallah-Shaykh<br>
IEEE/INNS International Joint Conference on Neural Networks, 2018. </li>
<li><a target="_blank" href="http://www.ele.uri.edu/ieee-ssci2017/">Fine Tuning Lasso in an Adversarial Environment Against Gradient Attacks</a><br>
G. Ditzler and A. Prater<br>
IEEE Symposium Series on Computational Intelligence, 2017. </li>
<li><a target="_blank" href="http://www.ele.uri.edu/ieee-ssci2017">Speeding Up Joint Mutual Information Feature Selection with an Optimization Heuristic</a><br>
H. Liu and G. Ditzler<br>
IEEE Symposium Series on Computational Intelligence, 2017. </li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/abstract/document/8064150/">Framework to Support DDDAS Decision” Support Systems: Design Overview</a><br>
G. Ditzler, A. Akoglu, and S. Hariri<br>
Workshop on InfoSymbiotics: DDDAS Dynamic Data Driven Applications Systems, 2017. </li>
<li><a target="_blank" href="http://autonomic-conference.org/iccac-2017/">Autonomic Management of 3D Cardiac Simulations</a><br>
E. Esmaili, A. Akoglu, G. Ditzler, S. Hariri, J. Szep and T. Moukabary<br>
IEEE International Conference on Cloud and Autonomic Computing, 2017. (Best Paper Award) </li>
<li><a target="_blank" href="http://autonomic-conference.org/iccac-2017/">A Self-Protection Agent using Error Correcting Output Codes to Secure Computers and Applications </a><br>
F. de la Pena Montero, S. Hariri, and G. Ditzler<br>
IEEE International Conference on Cloud and Autonomic Computing, 2017.</li>
<li><a target="_blank" href="http://autonomic-conference.org/iccac-2017/">Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art</a><br>
S. Makki, R. Haque, Y. Taher, Z. Assaghir, G. Ditzler, M.-S. Hacid and H. Zeineddine<br>
International Workshop on Autonomic Systems for Big Data Analytics, 2017.</li>
<li><a target="_blank" href="http://www.ijcnn.org/">A Fast Information-theoretic Approximation of Joint Mutual Information Feature Selection</a><br>
H. Liu and G. Ditzler<br>
IEEE/INNS International Joint Conference on Neural Networks, 2017. </li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/abstract/document/7897268/">The AKRON-Kalman Filter for Tracking Time-Varying Networks</a><br>
V. Carluccio, N. Bouaynaya, G. Ditzler, and H. M. Fathallah Shaykh<br>
IEEE International Conference on Biomedical and Health Informatics, 2017.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/abstract/document/7727178/">A Study of Incremental Spectral Meta-Learning for Nonstationary Environments</a><br>
G. Ditzler<br>
IEEE/INNS International Joint Conference on Neural Networks, 2016.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7008701">Scaling a Neyman-Pearson subset selection approach via heuristics for mining massive data</a><br>
G. Ditzler, M. Austen, R, Polikar, and G. Rosen<br>
IEEE Symposium on Computational Intelligence in Data Mining, 2014. (travel award) [<a target="_blank" href="https://github.com/gditzler/NPFS">code</a>]</li>
<li><a target="_blank" href="http://dl.acm.org/citation.cfm?id=2660824">Feature Subset Selection for Inferring Relative Importance of Taxonomy</a><br>
G. Ditzler and G. Rosen<br>
ACM International Workshop on Big Data in Life Sciences, 2014. (invited and travel award)</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6889909">Domain Adaptation Bounds for Multiple Expert Systems Under Concept Drift</a><br>
G. Ditzler, G. Rosen, and R. Polikar<br>
IEEE/INNS International Joint Conference on Neural Networks, 2014. (travel award & best student paper) [<a target="_blank" href="https://github.com/gditzler/ijcnn2014">code</a>]</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6706770">Incremental learning of new classes with unbalanced data</a><br>
G. Ditzler, G. Rosen, and R. Polikar<br>
IEEE/INNS International Joint Conference on Neural Networks, 2013.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6595773">Discounted expert weighting for concept drift</a><br>
G. Ditzler, G. Rosen and R. Polikar<br>
IEEE International Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6507749">Information theoretic feature selection for high dimensional metagenomic data</a><br>
G. Ditzler, R. Polikar, and G. Rosen<br>
in IEEE International Workshop on Genomic Signal Processing and Statistics, 2012.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6252494">A transductive learning algorithm for concept drift</a><br>
G. Ditzler, G. Rosen and R. Polikar<br>
in IEEE/INNS International Joint Conference on Neural Networks, 2012.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6207004">Determining significance in metagenomics</a><br>
G. Ditzler, R. Polikar and G. Rosen,<br>
in North Eastern Biomedical Engineering Conference, 2012.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6288265">Forensic identification with environmental samples</a></b><br>
G. Ditzler, R. Polikar, and G. Rosen<br>
in IEEE International Conference on Acoustic, Speech and Signal Processing, 2012.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6033578">Semi-supervised learning in nonstationary environments</a><br>
G. Ditzler and R. Polikar<br>
in IEEE/INNS International Joint Conference on Neural Networks, 2011. (student travel award)</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5948491">Hellinger distance based drift detection algorithm</a><br>
G. Ditzler and R. Polikar<br>
in IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5774964">Fusion methods for boosting performance of speaker identification systems</a><br>
G. Ditzler, J. Ethridge, R. Polikar, and R. Ramachandranin<br>
Asia Pacific Conference of Circuits and Systems, 2010.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5597278">An incremental learning algorithm for nonstationary environments and imbalanced data</a><br>
G. Ditzler, R. Polikar, and N. V. Chawla<br>
in International Conference on Pattern Recognition, 2010.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5586029">Optimal nu-SVM parameter estimation using multi-objective evolutionary algorithms</a><br>
J. Ethridge, G. Ditzler, and R. Polikar<br>
in IEEE Congress on Evolutionary Computing, 2010.</li>
<li><a target="_blank" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5596764">An ensemble-based incremental learning framework for concept drift and class imbalance</a><br>
G. Ditzler and R. Polikar<br>
in IEEE/INNS International Joint Conference on Neural Networks, 2010.</li>
<li><a target="_blank" href="http://link.springer.com/chapter/10.1007/978-3-642-12127-2_4">Incremental learning of new classes in unbalanced data: Learn++.UDNC</a><br>
G. Ditzler, M. Muhlbaier, and R. Polikar<br
>in International Workshop on Multiple Classifier Systems, 2010.</li>
</ol>
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