| 2026 | FlAIRS | Scalable GNN Training for Track Finding. | Bipana Bista, Sree Sai Charan Vaitla, Alina Lazar |
| 2026 | FlAIRS | A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification. | Nicholas Kanos, Shreeshtee Dhakal, Alina Lazar |
| 2023 | FlAIRS | A Comparative Study of Imputation Methods for Time Series Data. | Daniyal Khan, Alina Lazar |
| 2023 | FlAIRS | Graph Neural Networks for Link Prediction. | Alina Lazar |
| 2023 | FlAIRS | A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data. | Prativa Pokhrel, Alina Lazar |
| 2022 | FlAIRS | An Introduction to Graph Neural Networks. | Alina Lazar |
| 2022 | FlAIRS | Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types. | Prativa Pokhrel, Alina Lazar |
| 2021 | HPDC | GPU-based Classification for Wireless Intrusion Detection. | Alina Lazar, Alex Sim, Kesheng Wu |
| 2020 | HPDC | Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. | Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu |
| 2019 | HPDC | Session details: Technical Session II. | Alina Lazar |
| 2019 | HPDC | Automatic Detection of Network Traffic Anomalies and Changes. | Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu |
| 2019 | SC | Peachy Parallel Assignments (EduHPC 2019). | Mulya Agung, Allen D. Malony, Hiroyuki Takizawa, David P. Bunde, Muhammad Alfian Amrizal, Steven Bogaerts, Ryusuke Egawa, Daniel A. Ellsworth, Jorge Fernndez-Fabeiro, Arturo Gonzlez-Escribano, Sukhamay Kundu, Alina Lazar |
| 2016 | MSR | Analyzing developer sentiment in commit logs. | Vinayak Sinha, Alina Lazar, Bonita Sharif |
| 2014 | ETRA | An eye-tracking study assessing the comprehension of c++ and Python source code. | Rachel Turner, Michael Falcone, Bonita Sharif, Alina Lazar |
| 2014 | MSR | Improving the accuracy of duplicate bug report detection using textual similarity measures. | Alina Lazar, Sarah Ritchey, Bonita Sharif |
| 2014 | MSR | Generating duplicate bug datasets. | Alina Lazar, Sarah Ritchey, Bonita Sharif |
| 2011 | ICAIL | Discovering coherence and justification clusters in digital transcripts using epistemic analysis. | Cameron Hughes, Tracey Hughes, Alina Lazar |
| 2010 | ICMLA | A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets. | Alina Lazar |
| 2005 | ICMLA | Comparing machine learning classification schemes - a GIS approach. | Alina Lazar, Bradley Shellito |
| 2004 | ICMLA | Income prediction via support vector machine. | Alina Lazar |
| 2002 | CEC | Simulating the evolution of archaic states. | Robert G. Reynolds, Alina Lazar |