Samira Ghodratnama

According to our database, Samira Ghodratnama authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak

Proceedings of the IEEE International Conference on Web Services, 2023

Breaking Boundaries: Can a Unified Hardware Abstraction Layer Simplify Transformer Deployments on Edge Devices?

Mehrdad Zakershahrak, Samira Ghodratnama

Proceedings of the Service-Oriented Computing - ICSOC 2023 Workshops - AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, Rome, Italy, November 28, 2023

Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications.

Samira Ghodratnama, Mehrdad Zakershahrak

Proceedings of the Service-Oriented Computing - ICSOC 2023 Workshops - AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, Rome, Italy, November 28, 2023

2022

BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar

Proceedings of the Process Querying Methods, 2022

2021

Towards Personalized and Human-in-the-Loop Document Summarization.

Samira Ghodratnama

CoRR, 2021

A Query Language for Summarizing and Analyzing Business Process Data.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar

CoRR, 2021

Intelligent Narrative Summaries: From Indicative to Informative Summarization.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

Big Data Res., 2021

Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics.

Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning.

Mehrdad Zakershahrak, Samira Ghodratnama

CoRR, 2020

Extractive Document Summarization Based on Dynamic Feature Space Mapping.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

IEEE Access, 2020

Am I Rare? an Intelligent Summarization Approach for Identifying Hidden Anomalies.

Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Adaptive Summaries: A Personalized Concept-Based Summarization Approach by Learning from Users' Feedback.

Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

2018

iCOP: IoT-Enabled Policing Processes.

Francesco Schiliro, Amin Beheshti, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics.

Farhad Amouzgar, Amin Beheshti, Samira Ghodratnama, Boualem Benatallah, Jian Yang, Quan Z. Sheng

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes.

Amin Beheshti, Francesco Schiliro, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad

Proceedings of the Business Process Management Forum, 2018