Massachusetts Economy and Technology Index System. - Ramoza Ahsan; Rodica Neamtu; Jeff Stokes; Armend Hoxha; Jialiang Bao; Stefan Gvozdenovic; Ted Meyer; Nilesh Patel; Raghu Rangan; Yumou Wang; Dongyun Zhang; Elke A. Rundensteiner (DSMM, 2014)

Taming Big Data: Integrating diverse public data sources for economic competitiveness analytics. - Rodica Neamtu; Ramoza Ahsan; Jeff Stokes; Armend Hoxha; Jialiang Bao; Stefan Gvozdenovic; Ted Meyer; Nilesh Patel; Raghu Rangan; Yumou Wang; Dongyun Zhang; Elke A. Rundensteiner (Data4U@VLDB, 2014)

Towards spreadsheet integration using entity identification driven by a spatial-temporal model. - Ramoza Ahsan; Rodica Neamtu; Elke A. Rundensteiner (SAC, 2016)

Interactive Time Series Exploration Powered by the Marriage of Similarity Distances. - Rodica Neamtu; Ramoza Ahsan; Elke A. Rundensteiner; Gábor N. Sárközy (Proc. VLDB Endow., 2016)

Ranked time series matching by interleaving similarity distances. - Cuong Nguyen; Charles Lovering; Rodica Neamtu (IEEE BigData, 2017)

Interactive Time Series Analytics Powered by ONEX. - Rodica Neamtu; Ramoza Ahsan; Charles Lovering; Cuong Nguyen; Elke A. Rundensteiner; Gábor N. Sárközy (SIGMOD Conference, 2017)

Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances. - Rodica Neamtu; Ramoza Ahsan; Elke A. Rundensteiner; Gábor N. Sárközy; Eamonn J. Keogh; Hoang Anh Dau; Cuong Nguyen; Charles Lovering (ICDE, 2018)

Nearest Neighbor Subsequence Search in Time Series Data. - Ramoza Ahsan; Muzammil Bashir; Rodica Neamtu; Elke A. Rundensteiner; Gábor N. Sárközy (IEEE BigData, 2019)

FinDX: A Versatile, Low-Resource Approach to Financial Website Classification. - Alissa Ostapenko; Rodica Neamtu; Frazer Anderson (IEEE BigData, 2019)

Using Artificial Intelligence for Augmentative Alternative Communication for Children with Disabilities. - Rodica Neamtu; André Câmara; Carlos Pereira; Rafael Ferreira 002 (INTERACT (1), 2019)

Correlation-Based Analytics of Time Series Data. - Ramoza Ahsan; Rodica Neamtu; Muzammil Bashir; Elke A. Rundensteiner; Gábor N. Sárközy (IEEE BigData, 2020)

Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine Learning. - Richard Valente; Alissa Ostapenko; Bryer C. Sousa; Jack Grubbs; Christopher J. Massar; Danielle L. Cote; Rodica Neamtu (IEEE BigData, 2020)

Towards Brain Metrics for Improving Multi-Agent Adaptive Human-Robot Collaboration: A Preliminary Study. - Alicia Howell-Munson; Emily Doherty; Peter Gavriel; Claire Nicolas; Adam Norton; Rodica Neamtu; Holly A. Yanco; Yi-Ning Wu; Erin Treacy Solovey (CHIWORK, 2022)

Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs. - Stephen Price; Rodica Neamtu (ICPRAI (1), 2022)

BrainEx: Interactive Visual Exploration and Discovery of Sequence Similarity in Brain Signals. - Alicia Howell-Munson; Christopher Micek; Ziheng Li; Michael Clements; Andrew C. Nolan; Jackson Powell; Erin Treacy Solovey; Rodica Neamtu (Proc. ACM Hum. Comput. Interact., 2022)

A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances. - Rodica Neamtu; Ramoza Ahsan; Cuong Nguyen; Charles Lovering; Elke A. Rundensteiner; Gábor N. Sárközy (IEEE Trans. Knowl. Data Eng., 2022)

Where Story-Telling Meets Project-Based Learning: Incorporating Projects into CS Curriculum. - Rodica Neamtu (SIGCSE (2), 2023)

Model Performance Results For Distribution-Driven Augmentation of Medical Data. - Stephen Price; Winston O. Soboyejo; Rodica Neamtu (IEEE DataPort, 2024)