Alina Lazar

54 papers A 3B 6C 4Misc 5Journal 12Unranked 23
YearRankTypeTitle / Venue / Authors
2025 B conf
Large Scale Integrated Simulation of Household Vehicle Fleet Composition with Geographically Explicit Synthetic Population.
IEEE Big Data
Naomi Panjaitan, Ling Jin, Caitlin Brown, Tin Ho, Anna Spurlock, Thomas Wenzel, Alina Lazar, Qianmiao Chen, Andrew Bae
2025 J jnl
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach.
CoRR
Mohammed Ali El Adlouni, Ling Jin, Xiaodan Xu, C. Anna Spurlock, Alina Lazar, Kaveh Farokhi Sadabadi, Mahyar Amirgholy, Mona Asudegi
2025 — conf
Scaling Graph Neural Networks for Particle Track Reconstruction.
IPDPS (Workshops)
Alok Tripathy, Alina Lazar, Xiangyang Ju, Paolo Calafiura, Katherine A. Yelick, Aydin Buluç
2025 J jnl
Scaling Graph Neural Networks for Particle Track Reconstruction.
CoRR
Alok Tripathy, Alina Lazar, Xiangyang Ju, Paolo Calafiura, Katherine A. Yelick, Aydin Buluç
2025 J jnl
Sparse Matrix-Matrix Multiplication with CUDA and Python Integration.
J. Comput. Sci. Coll.
Alina Lazar
2025 J jnl
Teaching Parallel Computing Concepts Using Distributed Data Parallel Deep Learning Training.
J. Comput. Sci. Coll.
Alina Lazar
2024 J jnl
A Language Model for Particle Tracking.
CoRR
Andris Huang, Yash Melkani, Paolo Calafiura, Alina Lazar, Daniel Thomas Murnane, Minh-Tuan Pham, Xiangyang Ju
2024 B conf
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach.
IEEE Big Data
Mohammed Adlouni, Ling Jin, Xiaodan Xu, C. Anna Spurlock, Alina Lazar, Kaveh Farokhi Sadabadi, Mahyar Amirgholy, Mona Asudegi
2024 — conf
Peachy Parallel Assignments (EduPar 2024).
IPDPS (Workshops)
Alina Lazar, Ethan Scheelk, Elizabeth Shoop, David P. Bunde
2024 B conf
Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference.
IEEE Big Data
Henry Paschke, James Gaboriault-Whitcomb, Carson Zoccole, Alina Lazar
2024 — conf
The Purpose's Purpose in Digital Transformation.
ECIS
Felicitas Kuch, Alina Lazar, Anna Maria Oberländer, Lukas Thuer
2023 Misc conf
A Comparative Study of Imputation Methods for Time Series Data.
FLAIRS
Daniyal Khan, Alina Lazar
2023 Misc conf
A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data.
FLAIRS
Prativa Pokhrel, Alina Lazar
2023 J jnl
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective.
Syst.
Hung-Chia Yang, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, C. Anna Spurlock
2023 Misc conf
Graph Neural Networks for Link Prediction.
FLAIRS
Alina Lazar
2023 B conf
Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities.
IEEE Big Data
Ling Jin, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C. Anna Spurlock, Mahyar Amirgholy, Mona Asudegi
2023 — conf
Peachy Parallel Assignments (EduPar 2023).
IPDPS Workshops
Alina Lazar, Virginia Niculescu, David P. Bunde
2022 Misc conf
An Introduction to Graph Neural Networks.
FLAIRS
Alina Lazar
2022 Misc conf
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types.
FLAIRS
Prativa Pokhrel, Alina Lazar
2021 — conf
A Survey of Teaching PDC Content in Undergraduate Curriculum.
CCWC
Xiaoyuan Suo, Olga Glebova, David Liu, Alina Lazar, Doina Bein
2021 — conf
GPU-based Classification for Wireless Intrusion Detection.
SNTA@HPDC
Alina Lazar, Alex Sim, Kesheng Wu
2021 J jnl
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data.
CoRR
Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu
2021 J jnl
Network traffic performance analysis from passive measurements using gradient boosting machine learning.
Int. J. Big Data Intell.
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2021 — conf
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.
IEEE BigData
Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu
2021 J jnl
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.
CoRR
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 S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar
2020 J jnl
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes.
IEEE Access
Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock
2020 — conf
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection.
SNTA@HPDC
Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu
2019 — conf
Automatic Detection of Network Traffic Anomalies and Changes.
SNTA@HPDC
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2019 J jnl
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization.
ACM J. Data Inf. Qual.
Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd
2019 — conf
Federated Wireless Network Intrusion Detection.
IEEE BigData
Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
2019 — conf
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
IEEE BigData
Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu
2019 — conf
Peachy Parallel Assignments (EduHPC 2019).
EduHPC@SC
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
2019 — conf
Session details: Technical Session II.
SNTA@HPDC
Alina Lazar
2019 — conf
Understanding Data Similarity in Large-Scale Scientific Datasets.
IEEE BigData
Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Gilberto Zonta Pastorello, Lavanya Ramakrishnan, Kesheng Wu
2018 — conf
Predicting Network Traffic Using TCP Anomalies.
IEEE BigData
Alina Lazar, Kesheng Wu, Alex Sim
2017 — conf
Data quality challenges with missing values and mixed types in joint sequence analysis.
IEEE BigData
Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim
2016 A conf
Analyzing developer sentiment in commit logs.
MSR
Vinayak Sinha, Alina Lazar, Bonita Sharif
2015 — conf
Sparsity based noise removal from low dose scanning electron microscopy images.
Computational Imaging
Alina Lazar, Petru S. Fodor
2014 B conf
An eye-tracking study assessing the comprehension of c++ and Python source code.
ETRA
Rachel Turner, Michael Falcone, Bonita Sharif, Alina Lazar
2014 A conf
Generating duplicate bug datasets.
MSR
Alina Lazar, Sarah Ritchey, Bonita Sharif
2014 A conf
Improving the accuracy of duplicate bug report detection using textual similarity measures.
MSR
Alina Lazar, Sarah Ritchey, Bonita Sharif
2013 — conf
An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi.
MAICS
James Curnalia, Alina Lazar
2013 — conf
Comparison of Fast Learning Large-Scale Multi-Class Classification.
MAICS
Aleksander Jovanovich, Alina Lazar
2012 — conf
Comparison of Optimization Methods for L1-regularized Logistic Regression.
MAICS
Aleksander Jovanovich, Alina Lazar
2011 C conf
Discovering coherence and justification clusters in digital transcripts using epistemic analysis.
ICAIL
Cameron Hughes, Tracey Hughes, Alina Lazar
2011 — conf
The Classification of Imbalanced Spatial Data.
MAICS
Alina Lazar, Bradley Shellito
2010 C conf
A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets.
ICMLA
Alina Lazar
2007 J jnl
Engaged learning in a computer science course.
J. Comput. Sci. Coll.
Alina Lazar
2007 — conf
Epistemic Structured Representation for Legal Transcript Analysis.
SCSS (1)
Tracey Hughes, Cameron Hughes, Alina Lazar
2005 C conf
Comparing machine learning classification schemes - a GIS approach.
ICMLA
Alina Lazar, Bradley Shellito
2005 — ch.
Knowledge Discovery Using Heuristics.
Encyclopedia of Information Science and Technology (III)
Alina Lazar
2004 C conf
Income prediction via support vector machine.
ICMLA
Alina Lazar
2002 — conf
Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation.
JCIS
Alina Lazar, Robert G. Reynolds
2002 B conf
Simulating the evolution of archaic states.
IEEE Congress on Evolutionary Computation
Robert G. Reynolds, Alina Lazar