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ORCIDIrene Manotas
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2020 – today
- 2023
[i3]Irene Manotas, Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin:
Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found. CoRR abs/2312.05448 (2023)- 2022
- [c13]Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos:
Natural Language Interface for Process Mining Queries in Healthcare. IEEE Big Data 2022: 4443-4452 - [c12]Octavian Popescu, Irene Manotas, Ngoc Phuoc An Vo, Hangu Yeo, Elahe Khorashani, Vadim Sheinin:
Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL. COLING 2022: 1593-1603 - [c11]Ngoc Phuoc An Vo, Octavian Popescu, Irene Manotas, Vadim Sheinin:
Tackling Temporal Questions in Natural Language Interface to Databases. EMNLP (Industry Track) 2022: 179-187 - 2021
- [j1]Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha:
SECRET: Semantically Enhanced Classification of Real-World Tasks. IEEE Trans. Computers 70(3): 440-456 (2021) - [c10]Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin:
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management. RANLP 2021: 1490-1497 - [i2]Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin:
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management. CoRR abs/2104.00660 (2021) - 2020
- [c9]Ngoc Phuoc An Vo, Irene Manotas, Vadim Sheinin, Octavian Popescu:
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition. COLING 2020: 5250-5258 - [c8]Irene Manotas, Ngoc Phuoc An Vo, Vadim Sheinin:
LiMiT: The Literal Motion in Text Dataset. EMNLP (Findings) 2020: 991-1000
2010 – 2019
- 2019
- [c7]Elisa Bertino, Graham White, Jorge Lobo
, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel:
Generative Policies for Coalition Systems - A Symbolic Learning Framework. ICDCS 2019: 1590-1600 - [c6]Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo:
A Generative Policy Model for Connected and Autonomous Vehicles. ITSC 2019: 1558-1565 - [i1]Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha:
SECRET: Semantically Enhanced Classification of Real-world Tasks. CoRR abs/1905.12356 (2019) - 2018
- [c5]Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino:
AGENP: An ASGrammar-based GENerative Policy Framework. PADG@ESORICS 2018: 3-20 - [c4]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:
Self-Generating Policies for Machine Learning in Coalition Environments. PADG@ESORICS 2018: 42-65 - [c3]Irene Manotas, James Clause, Lori L. Pollock:
Exploring Evolutionary Search Strategies to Improve Applications' Energy Efficiency. SSBSE 2018: 278-292 - 2016
- [c2]Irene Manotas, Christian Bird, Rui Zhang, David C. Shepherd, Ciera Jaspan, Caitlin Sadowski, Lori L. Pollock, James Clause:
An empirical study of practitioners' perspectives on green software engineering. ICSE 2016: 237-248 - 2015
- [c1]Rui Zhang, Irene Manotas, Min Li, Dean Hildebrand:
Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data. BPOE 2015: 25-36
Coauthor Index
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