Alina Lazar

Orcid: 0000-0002-2096-1541

According to our database1, Alina Lazar authored at least 43 papers between 2002 and 2024.

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Bibliography

2024
A Language Model for Particle Tracking.
CoRR, 2024

2023
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective.
Syst., 2023

Peachy Parallel Assignments (EduPar 2023).
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Graph Neural Networks for Link Prediction.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

A Comparative Study of Imputation Methods for Time Series Data.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

An Introduction to Graph Neural Networks.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Network traffic performance analysis from passive measurements using gradient boosting machine learning.
Int. J. Big Data Intell., 2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.
CoRR, 2021

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data.
CoRR, 2021

GPU-based Classification for Wireless Intrusion Detection.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

A Survey of Teaching PDC Content in Undergraduate Curriculum.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes.
IEEE Access, 2020

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

2019
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization.
ACM J. Data Inf. Qual., 2019

Peachy Parallel Assignments (EduHPC 2019).
Proceedings of the 2019 IEEE/ACM Workshop on Education for High-Performance Computing, 2019

Automatic Detection of Network Traffic Anomalies and Changes.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Session details: Technical Session II.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Understanding Data Similarity in Large-Scale Scientific Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Federated Wireless Network Intrusion Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Predicting Network Traffic Using TCP Anomalies.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Data quality challenges with missing values and mixed types in joint sequence analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Analyzing developer sentiment in commit logs.
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

2015
Sparsity based noise removal from low dose scanning electron microscopy images.
Proceedings of the Computational Imaging XIII, 2015

2014
Generating duplicate bug datasets.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

Improving the accuracy of duplicate bug report detection using textual similarity measures.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

An eye-tracking study assessing the comprehension of c++ and Python source code.
Proceedings of the Eye Tracking Research and Applications, 2014

2013
Comparison of Fast Learning Large-Scale Multi-Class Classification.
Proceedings of the 24th Midwest Artificial Intelligence and Cognitive Science Conference 2013, 2013

An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi.
Proceedings of the 24th Midwest Artificial Intelligence and Cognitive Science Conference 2013, 2013

2012
Comparison of Optimization Methods for L1-regularized Logistic Regression.
Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012, 2012

2011
The Classification of Imbalanced Spatial Data.
Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference 2011, 2011

Discovering coherence and justification clusters in digital transcripts using epistemic analysis.
Proceedings of the 13th International Conference on Artificial Intelligence and Law, 2011

2010
A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2007
Epistemic Structured Representation for Legal Transcript Analysis.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007

2005
Comparing machine learning classification schemes - a GIS approach.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Knowledge Discovery Using Heuristics.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
Income prediction via support vector machine.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2002
Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation.
Proceedings of the 6th Joint Conference on Information Science, 2002

Simulating the evolution of archaic states.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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