Alina Lazar

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

Top Topics

Intrusion Detection

Machine Learning

Microscopy Images

Top Venues

Publications

Alina Lazar, Ethan Scheelk, Elizabeth Shoop, David P. Bunde
Peachy Parallel Assignments (EduPar 2024). IPDPS (Workshops) (2024)
Andris Huang, Yash Melkani, Paolo Calafiura, Alina Lazar, Daniel Thomas Murnane, Minh-Tuan Pham, Xiangyang Ju
A Language Model for Particle Tracking. CoRR (2024)
Alina Lazar, Virginia Niculescu, David P. Bunde
Peachy Parallel Assignments (EduPar 2023). IPDPS Workshops (2023)
Alina Lazar
Graph Neural Networks for Link Prediction. FLAIRS (2023)
Hung-Chia Yang, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, C. Anna Spurlock
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. Syst. 11 (6) (2023)
Daniyal Khan, Alina Lazar
A Comparative Study of Imputation Methods for Time Series Data. FLAIRS (2023)
Ling Jin, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C. Anna Spurlock, Mahyar Amirgholy, Mona Asudegi
Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities. BigData (2023)
Prativa Pokhrel, Alina Lazar
A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data. FLAIRS (2023)
Prativa Pokhrel, Alina Lazar
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types. FLAIRS (2022)
Alina Lazar
An Introduction to Graph Neural Networks. FLAIRS (2022)
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Network traffic performance analysis from passive measurements using gradient boosting machine learning. Int. J. Big Data Intell. 8 (1) (2021)
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, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR (2021)
Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. CoRR (2021)
Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. IEEE BigData (2021)
Alina Lazar, Alex Sim, Kesheng Wu
GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC (2021)
Xiaoyuan Suo, Olga Glebova, David Liu, Alina Lazar, Doina Bein
A Survey of Teaching PDC Content in Undergraduate Curriculum. CCWC (2021)
Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC (2020)
Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. IEEE Access 8 (2020)
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC (2019)
Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. ACM J. Data Inf. Qual. 11 (2) (2019)
Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Federated Wireless Network Intrusion Detection. IEEE BigData (2019)
Alina Lazar
Session details: Technical Session II. SNTA@HPDC (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
Peachy Parallel Assignments (EduHPC 2019). EduHPC@SC (2019)
Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu
Understanding Data Similarity in Large-Scale Scientific Datasets. IEEE BigData (2019)
Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. IEEE BigData (2019)
Alina Lazar, Kesheng Wu, Alex Sim
Predicting Network Traffic Using TCP Anomalies. IEEE BigData (2018)
Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim
Data quality challenges with missing values and mixed types in joint sequence analysis. IEEE BigData (2017)
Vinayak Sinha, Alina Lazar, Bonita Sharif
Analyzing developer sentiment in commit logs. MSR (2016)
Alina Lazar, Petru S. Fodor
Sparsity based noise removal from low dose scanning electron microscopy images. Computational Imaging (2015)
Rachel Turner, Michael Falcone, Bonita Sharif, Alina Lazar
An eye-tracking study assessing the comprehension of c++ and Python source code. ETRA (2014)
Alina Lazar, Sarah Ritchey, Bonita Sharif
Improving the accuracy of duplicate bug report detection using textual similarity measures. MSR (2014)
Alina Lazar, Sarah Ritchey, Bonita Sharif
Generating duplicate bug datasets. MSR (2014)
James Curnalia, Alina Lazar
An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi. MAICS (2013)
Aleksander Jovanovich, Alina Lazar
Comparison of Fast Learning Large-Scale Multi-Class Classification. MAICS (2013)
Aleksander Jovanovich, Alina Lazar
Comparison of Optimization Methods for L1-regularized Logistic Regression. MAICS (2012)
Alina Lazar, Bradley Shellito
The Classification of Imbalanced Spatial Data. MAICS (2011)
Cameron Hughes, Tracey Hughes, Alina Lazar
Discovering coherence and justification clusters in digital transcripts using epistemic analysis. ICAIL (2011)
Alina Lazar
A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets. ICMLA (2010)
Tracey Hughes, Cameron Hughes, Alina Lazar
Epistemic Structured Representation for Legal Transcript Analysis. SCSS (1) (2007)
Alina Lazar, Bradley Shellito
Comparing machine learning classification schemes - a GIS approach. ICMLA (2005)
Alina Lazar
Income prediction via support vector machine. ICMLA (2004)
Alina Lazar, Robert G. Reynolds
Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation. JCIS (2002)
Robert G. Reynolds, Alina Lazar
Simulating the evolution of archaic states. IEEE Congress on Evolutionary Computation (2002)