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Alina Lazar
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2020 – today
- 2024
- [c37]Felicitas Kuch, Alina Lazar, Anna Maria Oberländer, Lukas Thuer:
The Purpose's Purpose in Digital Transformation. ECIS 2024 - [c36]Alina Lazar
, Ethan Scheelk
Peachy Parallel Assignments (EduPar 2024). IPDPS (Workshops) 2024: 352-356 - [i3]Andris Huang, Yash Melkani, Paolo Calafiura, Alina Lazar, Daniel Thomas Murnane, Minh-Tuan Pham, Xiangyang Ju:
A Language Model for Particle Tracking. CoRR abs/2402.10239 (2024) - 2023
- [j4]Hung-Chia Yang
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. Syst. 11(6): 314 (2023) - [c35]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. IEEE Big Data 2023: 2606-2615 - [c34]Daniyal Khan, Alina Lazar:
A Comparative Study of Imputation Methods for Time Series Data. FLAIRS 2023 - [c33]Alina Lazar
Graph Neural Networks for Link Prediction. FLAIRS 2023 - [c32]Prativa Pokhrel, Alina Lazar
A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data. FLAIRS 2023 - [c31]Alina Lazar, Virginia Niculescu, David P. Bunde:
Peachy Parallel Assignments (EduPar 2023). IPDPS Workshops 2023: 248-255 - 2022
- [c30]Alina Lazar:
An Introduction to Graph Neural Networks. FLAIRS 2022 - [c29]Prativa Pokhrel, Alina Lazar:
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types. FLAIRS 2022 - 2021
- [j3]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): 13-30 (2021) - [c28]Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. IEEE BigData 2021: 3700-3704 - [c27]Xiaoyuan Suo, Olga Glebova, David Liu, Alina Lazar, Doina Bein:
A Survey of Teaching PDC Content in Undergraduate Curriculum. CCWC 2021: 1306-1312 - [c26]Alina Lazar, Alex Sim
GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2021: 27-31 - [i2]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 abs/2102.11027 (2021) - [i1]Xiangyang Ju
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR abs/2103.06995 (2021) - 2020
- [j2]Ling Jin
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. IEEE Access 8: 190964-190980 (2020) - [c25]Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2020: 19-26
2010 – 2019
- 2019
- [j1]Alina Lazar
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): 7:1-7:22 (2019) - [c24]Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. IEEE BigData 2019: 4520-4524 - [c23]Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal
Understanding Data Similarity in Large-Scale Scientific Datasets. IEEE BigData 2019: 4525-4531 - [c22]Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim
Federated Wireless Network Intrusion Detection. IEEE BigData 2019: 6004-6006 - [c21]Alina Lazar:
Session details: Technical Session II. SNTA@HPDC 2019 - [c20]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC 2019: 3-10 - [c19]Mulya Agung
Peachy Parallel Assignments (EduHPC 2019). EduHPC@SC 2019: 75-83 - 2018
- [c18]Alina Lazar, Kesheng Wu
Predicting Network Traffic Using TCP Anomalies. IEEE BigData 2018: 5369-5371 - 2017
- [c17]Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu
Data quality challenges with missing values and mixed types in joint sequence analysis. IEEE BigData 2017: 2620-2627 - 2016
- [c16]Vinayak Sinha, Alina Lazar, Bonita Sharif
Analyzing developer sentiment in commit logs. MSR 2016: 520-523 - 2015
- [c15]Alina Lazar, Petru S. Fodor:
Sparsity based noise removal from low dose scanning electron microscopy images. Computational Imaging 2015: 940105 - 2014
- [c14]Rachel Turner, Michael Falcone, Bonita Sharif, Alina Lazar:
An eye-tracking study assessing the comprehension of c++ and Python source code. ETRA 2014: 231-234 - [c13]Alina Lazar, Sarah Ritchey
Improving the accuracy of duplicate bug report detection using textual similarity measures. MSR 2014: 308-311 - [c12]Alina Lazar, Sarah Ritchey
Generating duplicate bug datasets. MSR 2014: 392-395 - 2013
- [c11]James Curnalia, Alina Lazar:
An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi. MAICS 2013: 23-29 - [c10]Aleksander Jovanovich, Alina Lazar:
Comparison of Fast Learning Large-Scale Multi-Class Classification. MAICS 2013: 57-64 - 2012
- [c9]Aleksander Jovanovich, Alina Lazar:
Comparison of Optimization Methods for L1-regularized Logistic Regression. MAICS 2012: 140-144 - 2011
- [c8]Cameron Hughes, Tracey Hughes, Alina Lazar:
Discovering coherence and justification clusters in digital transcripts using epistemic analysis. ICAIL 2011: 219-223 - [c7]Alina Lazar, Bradley Shellito:
The Classification of Imbalanced Spatial Data. MAICS 2011: 108-113 - 2010
- [c6]Alina Lazar:
A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets. ICMLA 2010: 879-882
2000 – 2009
- 2007
- [c5]Tracey Hughes, Cameron Hughes, Alina Lazar:
Epistemic Structured Representation for Legal Transcript Analysis. SCSS (1) 2007: 101-107 - 2005
- [c4]Alina Lazar, Bradley Shellito:
Comparing machine learning classification schemes - a GIS approach. ICMLA 2005 - [r1]Alina Lazar:
Knowledge Discovery Using Heuristics. Encyclopedia of Information Science and Technology (III) 2005: 1754-1758 - 2004
- [c3]Alina Lazar:
Income prediction via support vector machine. ICMLA 2004: 143-149 - 2002
- [c2]Robert G. Reynolds, Alina Lazar:
Simulating the evolution of archaic states. IEEE Congress on Evolutionary Computation 2002: 861-866 - [c1]Alina Lazar, Robert G. Reynolds:
Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation. JCIS 2002: 659-662
Coauthor Index
aka: Alexander Sim
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last updated on 2024-11-20 21:56 CET by the dblp team
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