Simulating the evolution of archaic states. - Robert G. Reynolds; Alina Lazar (IEEE Congress on Evolutionary Computation, 2002)

Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation. - Alina Lazar; Robert G. Reynolds (JCIS, 2002)

Income prediction via support vector machine. - Alina Lazar (ICMLA, 2004)

Knowledge Discovery Using Heuristics. - Alina Lazar (Encyclopedia of Information Science and Technology (III), 2005)

Comparing machine learning classification schemes - a GIS approach. - Alina Lazar; Bradley Shellito (ICMLA, 2005)

Epistemic Structured Representation for Legal Transcript Analysis. - Tracey Hughes; Cameron Hughes; Alina Lazar (SCSS (1), 2007)

Engaged learning in a computer science course. - Alina Lazar (J. Comput. Sci. Coll., 2007)

A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets. - Alina Lazar (ICMLA, 2010)

Discovering coherence and justification clusters in digital transcripts using epistemic analysis. - Cameron Hughes; Tracey Hughes; Alina Lazar (ICAIL, 2011)

The Classification of Imbalanced Spatial Data. - Alina Lazar; Bradley Shellito (MAICS, 2011)

Comparison of Optimization Methods for L1-regularized Logistic Regression. - Aleksander Jovanovich; Alina Lazar (MAICS, 2012)

An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi. - James Curnalia; Alina Lazar (MAICS, 2013)

Comparison of Fast Learning Large-Scale Multi-Class Classification. - Aleksander Jovanovich; Alina Lazar (MAICS, 2013)

An eye-tracking study assessing the comprehension of c++ and Python source code. - Rachel Turner; Michael Falcone; Bonita Sharif; Alina Lazar (ETRA, 2014)

Improving the accuracy of duplicate bug report detection using textual similarity measures. - Alina Lazar; Sarah Ritchey; Bonita Sharif (MSR, 2014)

Generating duplicate bug datasets. - Alina Lazar; Sarah Ritchey; Bonita Sharif (MSR, 2014)

Sparsity based noise removal from low dose scanning electron microscopy images. - Alina Lazar; Petru S. Fodor (Computational Imaging, 2015)

Analyzing developer sentiment in commit logs. - Vinayak Sinha; Alina Lazar; Bonita Sharif (MSR, 2016)

Data quality challenges with missing values and mixed types in joint sequence analysis. - Alina Lazar; Ling Jin; C. Anna Spurlock; Kesheng Wu; Alex Sim (IEEE BigData, 2017)

Predicting Network Traffic Using TCP Anomalies. - Alina Lazar; Kesheng Wu; Alex Sim (IEEE BigData, 2018)

Federated Wireless Network Intrusion Detection. - Burak Cetin; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (IEEE BigData, 2019)

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. - Alina Lazar; Alexandra Ballow; Ling Jin; C. Anna Spurlock; Alexander Sim; Kesheng Wu (IEEE BigData, 2019)

Understanding Data Similarity in Large-Scale Scientific Datasets. - Payton Linton; William Melodia; Alina Lazar; Deborah A. Agarwal; Ludovico Bianchi; Devarshi Ghoshal; Gilberto Zonta Pastorello; Lavanya Ramakrishnan; Kesheng Wu (IEEE BigData, 2019)

Session details: Technical Session II. - Alina Lazar (SNTA@HPDC, 2019)

Automatic Detection of Network Traffic Anomalies and Changes. - Astha Syal; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (SNTA@HPDC, 2019)

Peachy Parallel Assignments (EduHPC 2019). - Mulya Agung; Allen D. Malony; Hiroyuki Takizawa; David P. Bunde; Muhammad Alfian Amrizal; Steven Bogaerts; Ryusuke Egawa; Daniel A. Ellsworth; Jorge Fernández-Fabeiro; Arturo González-Escribano; Sukhamay Kundu; Alina Lazar (EduHPC@SC, 2019)

Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. - Alina Lazar; Ling Jin; C. Anna Spurlock; Kesheng Wu; Alex Sim; Annika Todd (ACM J. Data Inf. Qual., 2019)

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. - Shilpa Bhandari; Avinash K. Kukreja; Alina Lazar; Alex Sim; Kesheng Wu (SNTA@HPDC, 2020)

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. - Ling Jin; Alina Lazar; James Sears; Annika Todd-Blick; Alexander Sim; Kesheng Wu; Hung-Chia Yang; C. Anna Spurlock (IEEE Access, 2020)

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. - Alina Lazar; Ling Jin; Caitlin Brown; C. Anna Spurlock; Alexander Sim; Kesheng Wu (IEEE BigData, 2021)

A Survey of Teaching PDC Content in Undergraduate Curriculum. - Xiaoyuan Suo; Olga Glebova; David Liu; Alina Lazar; Doina Bein (CCWC, 2021)

GPU-based Classification for Wireless Intrusion Detection. - Alina Lazar; Alex Sim; Kesheng Wu (SNTA@HPDC, 2021)

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. - Ling Jin; C. Anna Spurlock; Sam Borgeson; Alina Lazar; Daniel Fredman; Annika Todd; Alexander Sim; Kesheng Wu (CoRR, 2021)

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. - Xiangyang Ju; Daniel Murnane; Paolo Calafiura; Nicholas Choma; Sean Conlon; Steven Farrell; Yaoyuan Xu; Maria Spiropulu; Jean-Roch Vlimant; Adam Aurisano; Jeremy Hewes; Giuseppe Cerati; et al. (CoRR, 2021)

Network traffic performance analysis from passive measurements using gradient boosting machine learning. - Astha Syal; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (Int. J. Big Data Intell., 2021)

An Introduction to Graph Neural Networks. - Alina Lazar (FLAIRS, 2022)

Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types. - Prativa Pokhrel; Alina Lazar (FLAIRS, 2022)

Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities. - Ling Jin; Xiaodan Xu; Yuhan Wang; Kaveh Farokhi Sadabadi; Alina Lazar; Duleep Rathgamage Don; Zachary Needell; C. Anna Spurlock; Mahyar Amirgholy; Mona Asudegi (IEEE Big Data, 2023)

A Comparative Study of Imputation Methods for Time Series Data. - Daniyal Khan; Alina Lazar (FLAIRS, 2023)

Graph Neural Networks for Link Prediction. - Alina Lazar (FLAIRS, 2023)

A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data. - Prativa Pokhrel; Alina Lazar (FLAIRS, 2023)

Peachy Parallel Assignments (EduPar 2023). - Alina Lazar; Virginia Niculescu; David P. Bunde (IPDPS Workshops, 2023)

Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. - Hung-Chia Yang; Ling Jin; Alina Lazar; Annika Todd-Blick; Alex Sim; Kesheng Wu; Qianmiao Chen; C. Anna Spurlock (Syst., 2023)

Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach. - Mohammed Adlouni; Ling Jin; Xiaodan Xu; C. Anna Spurlock; Alina Lazar; Kaveh Farokhi Sadabadi; Mahyar Amirgholy; Mona Asudegi (IEEE Big Data, 2024)

Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference. - Henry Paschke; James Gaboriault-Whitcomb; Carson Zoccole; Alina Lazar (IEEE Big Data, 2024)

The Purpose's Purpose in Digital Transformation. - Felicitas Kuch; Alina Lazar; Anna Maria Oberländer; Lukas Thuer (ECIS, 2024)

Peachy Parallel Assignments (EduPar 2024). - Alina Lazar; Ethan Scheelk; Elizabeth Shoop; David P. Bunde (IPDPS (Workshops), 2024)

A Language Model for Particle Tracking. - Andris Huang; Yash Melkani; Paolo Calafiura; Alina Lazar; Daniel Thomas Murnane; Minh-Tuan Pham; Xiangyang Ju (CoRR, 2024)

Scaling Graph Neural Networks for Particle Track Reconstruction. - Alok Tripathy; Alina Lazar; Xiangyang Ju; Paolo Calafiura; Katherine A. Yelick; Aydin Buluç (IPDPS (Workshops), 2025)