Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data. - Rui Zhang; Irene Manotas; Min Li; Dean Hildebrand (BPOE, 2015)

An empirical study of practitioners' perspectives on green software engineering. - Irene Manotas; Christian Bird; Rui Zhang; David C. Shepherd; Ciera Jaspan; Caitlin Sadowski; Lori L. Pollock; James Clause (ICSE, 2016)

AGENP: An ASGrammar-based GENerative Policy Framework. - Seraphin B. Calo; Irene Manotas; Geeth de Mel; Daniel Cunnington; Mark Law; Dinesh C. Verma; Alessandra Russo; Elisa Bertino (PADG@ESORICS, 2018)

Self-Generating Policies for Machine Learning in Coalition Environments. - Dinesh C. Verma; Seraphin B. Calo; Shonda Witherspoon; Irene Manotas; Elisa Bertino; Amani M. Abu Jabal; Greg Cirincione; Ananthram Swami; Gavin Pearson; Geeth de Mel (PADG@ESORICS, 2018)

Exploring Evolutionary Search Strategies to Improve Applications' Energy Efficiency. - Irene Manotas; James Clause; Lori L. Pollock (SSBSE, 2018)

Generative Policies for Coalition Systems - A Symbolic Learning Framework. - Elisa Bertino; Graham White 002; Jorge Lobo 001; John Ingham; Gregory H. Cirincione; Alessandra Russo; Mark Law; Seraphin B. Calo; Irene Manotas; Dinesh C. Verma; Amani Abu Jabal; Daniel Cunnington; et al. (ICDCS, 2019)

A Generative Policy Model for Connected and Autonomous Vehicles. - Daniel Cunnington; Irene Manotas; Mark Law; Geeth de Mel; Seraphin B. Calo; Elisa Bertino; Alessandra Russo (ITSC, 2019)

Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition. - Ngoc Phuoc An Vo; Irene Manotas; Vadim Sheinin; Octavian Popescu (COLING, 2020)

LiMiT: The Literal Motion in Text Dataset. - Irene Manotas; Ngoc Phuoc An Vo; Vadim Sheinin (EMNLP (Findings), 2020)

Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management. - Ngoc Phuoc An Vo; Irene Manotas; Octavian Popescu; Algimantas Cerniauskas; Vadim Sheinin (RANLP, 2021)

SECRET: Semantically Enhanced Classification of Real-World Tasks. - Ayten Ozge Akmandor; Jorge Ortiz 001; Irene Manotas; Bongjun Ko; Niraj K. Jha (IEEE Trans. Computers, 2021)

Natural Language Interface for Process Mining Queries in Healthcare. - Hangu Yeo; Elahe Khorasani; Vadim Sheinin; Irene Manotas; Ngoc Phuoc An Vo; Octavian Popescu; Petros Zerfos (IEEE Big Data, 2022)

Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL. - Octavian Popescu; Irene Manotas; Ngoc Phuoc An Vo; Hangu Yeo; Elahe Khorashani; Vadim Sheinin (COLING, 2022)

Tackling Temporal Questions in Natural Language Interface to Databases. - Ngoc Phuoc An Vo; Octavian Popescu; Irene Manotas; Vadim Sheinin (EMNLP (Industry Track), 2022)

Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found. - Irene Manotas; Octavian Popescu; Ngoc Phuoc An Vo; Vadim Sheinin (CoRR, 2023)

How Does LLM Reasoning Work for Code? A Survey and a Call to Action. - Ira Ceka; Saurabh Pujar; Irene Manotas; Gail E. Kaiser; Baishakhi Ray; Shyam Ramji (CoRR, 2025)