Alina Lazar

发表

Comparing machine learning classification schemes - a GIS approach

Alina Lazar, Bradley Shellito, B. Shellito, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Discovering coherence and justification clusters in digital transcripts using epistemic analysis

Alina Lazar, Cameron Hughes, Tracey Hughes, 2011, ICAIL.

Analyzing Developer Sentiment in Commit Logs

Bonita Sharif, Alina Lazar, Vinayak Sinha, 2016, 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR).

An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi

Alina Lazar, James Curnalia, A. Lazar, 2013, MAICS.

Income prediction via support vector machine

Alina Lazar, A. Lazar, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

An eye-tracking study assessing the comprehension of c++ and Python source code

Bonita Sharif, Alina Lazar, Michael Falcone, 2014, ETRA.

Epistemic Structured Representation for Legal Transcript Analysis

Alina Lazar, Cameron Hughes, Tracey Hughes, 2007, SCSS.

Comparison of Optimization Methods for L1-regularized Logistic Regression

Alina Lazar, Aleksander Jovanovich, A. Lazar, 2012, MAICS.

Simulating the evolution of archaic states

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Computational framework for modeling the dynamic evolution of large-scale multi-agent organizations

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, SPIE Defense + Commercial Sensing.

Comparison of Fast Learning Large-Scale Multi-Class Classification

Alina Lazar, Aleksander Jovanovich, A. Lazar, 2013, MAICS.

The Classification of Imbalanced Spatial Data

Alina Lazar, Bradley Shellito, B. Shellito, 2011, MAICS.

Knowledge Discovery Using Heuristics

Alina Lazar, 2005, Encyclopedia of Information Science and Technology.

Data quality challenges with missing values and mixed types in joint sequence analysis

Kesheng Wu, C. Anna Spurlock, Alex Sim, 2017, 2017 IEEE International Conference on Big Data (Big Data).

A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets

Alina Lazar, A. Lazar, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization

Kesheng Wu, C. Anna Spurlock, Alex Sim, 2019, ACM J. Data Inf. Qual..

Predicting Network Traffic Using TCP Anomalies

Kesheng Wu, Alex Sim, Alina Lazar, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Automatic Detection of Network Traffic Anomalies and Changes

Kesheng Wu, Jinoh Kim, Alex Sim, 2019, SNTA@HPDC.

Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets

Alina Lazar, A. Lazar, 2002 .

Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation

Robert G. Reynolds, Alina Lazar, R. Reynolds, 2002, JCIS.

Classification in GIS Using Support Vector Machines

Alina Lazar, Bradley A. Shellito, 2009 .

Improving the accuracy of duplicate bug report detection using textual similarity measures

Bonita Sharif, Alina Lazar, Sarah Ritchey, 2014, MSR 2014.

Generating duplicate bug datasets

Bonita Sharif, Alina Lazar, Sarah Ritchey, 2014, MSR 2014.

GPU-based Classification for Wireless Intrusion Detection

Kesheng Wu, Alex Sim, Alina Lazar, 2021, SNTA@HPDC.

Network traffic performance analysis from passive measurements using gradient boosting machine learning

Alex Sim, Alina Lazar, Astha Syal, 2021, Int. J. Big Data Intell..

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions

C. Anna Spurlock, Alex Sim, Alina Lazar, 2021, 2021 IEEE International Conference on Big Data (Big Data).

A Survey of Teaching PDC Content in Undergraduate Curriculum

Doina Bein, Xiaoyuan Suo, Alina Lazar, 2021, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC).

Performance of a geometric deep learning pipeline for HL-LHC particle tracking

Maria Spiropulu, Jim Kowalkowski, Steven Farrell, 2021, The European Physical Journal C.

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data pdf

C. Anna Spurlock, Ling Jin, Alina Lazar, 2021, ArXiv.

Decision Rule Extraction from Trained Neural Networks Using Rough Sets

Ishwar K. Sethi, Alina Lazar, I. Sethi, 1999 .

ENDOGENOUS NETWORK FORMATION AND THE EVOLUTION OF PREFERENCES

Alina Lazar, 2002 .