A. Lazar

发表

Simulating the evolution of archaic states

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

An Empirical Investigation on Code Debugging and Understanding: An Eye-tracking Perspective

A. Lazar, Rachel Turner, 2012 .

Proposal-Knowledge Discovery for Large Data Sets

A. Lazar, 2004 .

An Overview of Heuristic Knowledge Discovery for Large Data Sets Using Genetic Algorithms and Rough Sets

A. Lazar, 2004 .

Data quality challenges with missing values and mixed types in joint sequence analysis

Kesheng Wu, C. Anna Spurlock, Alex Sim, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Appreciation to Empirical Software Engineering Reviewers of 2017

Yuriy Brun, Jacques Klein, Max E. Kramer, 2018, Empirical Software Engineering.

What Makes You Hold on to That Old Car? Joint Insights From Machine Learning and Multinomial Logit on Vehicle-Level Transaction Decisions

A. Lazar, Venu Garikapati, Srinath Ravulaparthy, 2022, Frontiers in Future Transportation.

Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types

A. Lazar, Prativa Pokhrel, 2022, FLAIRS.

Improving the accuracy of duplicate bug report detection using textual similarity measures

Bonita Sharif, Alina Lazar, Sarah Ritchey, 2014, MSR 2014.

Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets

Alina Lazar, A. Lazar, 2002 .

Decision Rule Extraction from Trained Neural Networks Using Rough Sets

Ishwar K. Sethi, Alina Lazar, I. Sethi, 1999 .

Generating duplicate bug datasets

Bonita Sharif, Alina Lazar, Sarah Ritchey, 2014, MSR 2014.

Performance of a geometric deep learning pipeline for HL-LHC particle tracking

M. Spiropulu, A. Aurisano, M. Neubauer, 2021, The European Physical Journal C.

Computational framework for modeling the dynamic evolution of large-scale multi-agent organizations

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, SPIE Defense + Commercial Sensing.

Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, JCIS.

The Classification of Imbalanced Spatial Data

Alina Lazar, Bradley Shellito, B. Shellito, 2011, MAICS.

Comparing machine learning classification schemes - a GIS approach

Alina Lazar, Bradley Shellito, B. Shellito, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Income prediction via support vector machine

Alina Lazar, A. Lazar, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Federated Wireless Network Intrusion Detection

Kesheng Wu, Jinoh Kim, Alina Lazar, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective

A. Sim, A. Lazar, C. Spurlock, 2023 .

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use

Kesheng Wu, C. Anna Spurlock, Alexander Sim, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes

Kesheng Wu, C. Anna Spurlock, Alexander Sim, 2020, IEEE Access.

An eye-tracking study assessing the comprehension of c++ and Python source code

Bonita Sharif, Alina Lazar, Michael Falcone, 2014, ETRA.

Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization

Kesheng Wu, C. Anna Spurlock, Alex Sim, 2019, ACM J. Data Inf. Qual..

An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi

Alina Lazar, James Curnalia, A. Lazar, 2013, MAICS.

Automatic Detection of Network Traffic Anomalies and Changes

Kesheng Wu, Jinoh Kim, Alex Sim, 2019, SNTA@HPDC.

Predicting Network Traffic Using TCP Anomalies

Kesheng Wu, Alex Sim, Alina Lazar, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Peachy Parallel Assignments (EduPar 2023)

David P. Bunde, A. Lazar, Virginia Niculescu, 2023, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets

Alina Lazar, A. Lazar, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Comparison of Fast Learning Large-Scale Multi-Class Classification

Alina Lazar, Aleksander Jovanovich, A. Lazar, 2013, MAICS.

Graph Neural Networks for Link Prediction

A. Lazar, 2023, The International FLAIRS Conference Proceedings.

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection

Kesheng Wu, Alina Lazar, Alex Sim, 2020, SNTA@HPDC.

A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data

A. Lazar, Prativa Pokhrel, 2023, FLAIRS.

Epistemic Structured Representation for Legal Transcript Analysis

Alina Lazar, Cameron Hughes, Tracey Hughes, 2007, SCSS.

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions

A. Sim, A. Lazar, C. Spurlock, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Comparison of Optimization Methods for L1-regularized Logistic Regression

Alina Lazar, Aleksander Jovanovich, A. Lazar, 2012, MAICS.

Engaged learning in a computer science course

Alina Lazar, A. Lazar, 2007 .

Discovering coherence and justification clusters in digital transcripts using epistemic analysis

Alina Lazar, Cameron Hughes, Tracey Hughes, 2011, ICAIL.