Publications
- A. Lazar K. Wu and A. Sim "Predicting Network Traffic Using
TCP Anomalies." Proceedings of
the Big Data (Big Data), 2018 IEEE International
Conference on. IEEE, 2018. (paper,
poster)
- A. Lazar, L. Jin, C. A. Spurlock, A. Todd, K. Wu, and A.
Sim, “Data Quality Challenges with Missing Values and
Mixed Types in Joint Sequence Analysis.” Proceedings of
the Big Data (Big Data), 2017 IEEE International
Conference on. IEEE, 2017.
- S. Vinayak, A. Lazar and B. Sharif, "Analyzing developer
sentiment in commit logs”. Proceedings of the 13th
International Workshop on Mining Software Repositories
(2016), May 16-18, Austin, Texas, USA, pp. 520-523, 2016.
- A. Lazar and P. S. Fodor, “Sparsity Based Noise Removal
from Low Dose Scanning Electron Microscopy Images”.
Proceedings SPIE 9401, Computational Imaging XIII, 940105
(March 12, 2015);
- A. Lazar, S. Ritchey and B. Sharif, “Improving the
Accuracy of Duplicate Bug Report Detection Using Textual
Similarity Measures”. Proceedings of the 11th Working
Conference on Mining Software Repositories (2014), pp. 308
– 311.
- A. Lazar, S. Ritchey and B. Sharif, B, “Generating
duplicate bug datasets”. Proceedings of the 11th Working
Conference on Mining Software Repositories (2014), pp.
392–395.
- R. Turner, M. Falcone, B. Sharif and A. Lazar, “An
Eye-tracking Study Assessing the Comprehension of C++ and
Python Source Code”, Symposium on Eye Tracking Research
& Applications (ETRA 2014), Safety Harbor, Florida,
USA, March 26-28, 2014, pp. 231-234.
- A. Jovanovich and A. Lazar, “Comparison of Fast Learning
Large-Scale Multi-Class Classification” in Proceeding of
MAICS 2013: The Midwest Artificial Intelligence and
Cognitive Science Conference, April 13-14, 2013,
University Center at Indiana University Southeast, New
Albany, IN, USA.
- J. Curnalia and A. Lazar, “An Initial Investigation of
Multi-Cyclic Training Regimen for Collaborative Filtering
Models in GraphChi” in Proceeding of MAICS 2013: The
Midwest Artificial Intelligence and Cognitive Science
Conference, April 13-14, 2013, University Center at
Indiana University Southeast, New Albany, IN, USA.
- A. Jovanovich and A. Lazar, “Comparison of Optimization
Methods for L1-regularized Logistic Regression” in
Proceeding of MAICS 2012: The Midwest Artificial
Intelligence and Cognitive Science Conference, 2012.
- C. Hughes, T. Hughes and A. Lazar, “Discovering
coherence and justification clusters in digital
transcripts using epistemic analysis” in Proceedings of
ICAIL 2011: The Thirteenth International Conference on
Artificial Intelligence and Law, 2011.
- A. Lazar and B. Shellito, “The Classification of
Imbalanced Spatial Data” in Proceeding of MAICS 2011: The
Midwest Artificial Intelligence and Cognitive Science
Conference, 2011.
- A. Lazar, “A Comparison of Linear Support Vector Machine
Algorithms on Large Non-Sparse Datasets” in Proceedings of
ICMLA’2010: The 2010 International Conference on Machine
Learning and Applications, IEEE, 2010.
- T. Hughes, C. Hughes, and A. Lazar. "Epistemic
structured representation for legal transcript analysis."
Advances in Computer and Information Sciences and
Engineering. Springer Netherlands, 2008. 101-107.
- A. Lazar, “Engaged Learning in a Discrete Mathematics
Course” accepted at the Consortium for Computer Science in
Colleges Midwest – CCSC-MW 2007, 28-29 September 2007,
Miami University, Hamilton, OH.
- A. Lazar and B. Shellito, “Classification in GIS using
Support Vector Machines” in Encyclopedia of
Geoinformatics, Information Science Publishing (Idea Group
Inc.) 2006.
- A. Lazar and R. Zaremba, “Support Vector Machines
Optimization - An Income Prediction Study” in Proceedings
of ICCGI’2006: International Multi-Conference on Computing
in the Global Information Technology -Challenges for the
Next Generation of IT & C, IEEE, August 1-3, 2006 -
Bucharest, Romania.
- K. Duda, A. Lazar and L. Popio, “Enrollment Differences
by Gender in Computer Science, Computer Information
Systems, and Information Technology” in Proceedings of
Research on Women in Education 31st Annual Fall
Conference, 2005.
- A. Lazar and B. Shellito, “Comparing Machine Learning
Classification Schemes – a GIS Approach” in Proceedings of
ICMLA’2005: The 2005 International Conference on Machine
Learning and Applications, IEEE, 2005.
- B. Shellito and A. Lazar, “Applying Support Vector
Machines and GIS to Urban Pattern Recognition,” in Papers
of the Applied Geography Conferences, volume 28,
2005.
- A. Lazar, “Income Prediction via Support Vector
Machines” in Proceedings of ICMLA’2004: The 2004
International Conference on Machine Learning and
Applications, IEEE, 2004
- A. Lazar, “An Overview of Heuristic Knowledge Discovery
for Large Data Sets Using Genetic Algorithms and Rough
Sets” in Encyclopedia of Information Science and
Information Technology, Information Science Publishing
(Idea Group Inc.) 2005
- A. Lazar, D. Chavalarias, T.K. Ahn, “Endogenous Network
Formation and the Evolution of Preferences” Social Agents:
Ecology, Exchange & Evolution (Agent 2002), Chicago,
October 11-12, 2002
- R.G. Reynolds, A. Lazar, “Agent-based Simulation of the
Evolution of Archaic States” Agent 2002 Social Agents:
Ecology, Exchange & Evolution (Agent 2002), Chicago,
October 11-12, 2002
- R.G. Reynolds, A. Lazar, “Computational Framework for
Modeling the Dynamic Evolution of Large-Scale Multi-agent
Organizations” Computational Analysis of Social and
Organizational Systems (CASOS 2002), Carnegie Melon
University, Pittsburgh, Pa, June 21-23, 2002
- R.G. Reynolds, A. Lazar, “Simulating the Evolution of
Archaic States” 2002 Congress on Evolutionary Computation
(WCII 2002), Hilton Hawaiian Village, Honolulu, HI, May
12-17, 2002.
- R.G. Reynolds, A. Lazar, "Computational Framework for
Modeling the Dynamic Evolution of Large-scale Multi-agent
Organizations", at SPIE's 16th Annual International
Symposium on Aerospace/Defense Sensing, Simulation, and
Controls, 1-5 April 2002, Orlando, Florida, USA.
- A. Lazar and R.G. Reynolds, “Evolution-based Learning of
Ontological Knowledge for a Large-scale Multi-agent
Simulation”, at The Fourth International Workshop on
Frontiers in Evolutionary Algorithms (FEA 2002), Research
Triangle Park, North Carolina, USA, March 8-13, 2002.
- A. Lazar and R.G. Reynolds, "Heuristic Knowledge
Discover for Archaeological Data Using Cultural Algorithms
and Rough Sets", in Vol. 2: Heuristics and Optimization
for Knowledge Discovery (ed. Ruhul A. Sarker, Hussein A.
Abbass, and Charles S. Newton) by Idea Group Publishing,
USA, 2002.
- A. Lazar and I.K. Sethi, "Decision rule extraction from
trained neural networks using rough sets'', in Intelligent
Engineering Systems Through Artificial Neural Networks
(C.H. Dagli, A.L. Buczak, and J. Ghosh, eds.), vol. 9,
(New York, NY), pp. 493-498, ASME Press, Nov. 1999.