3 citations · 7 across the 5 of their papers we have counts for
6 papers
Reinforcement Learning Problem Solving with Large Language Models
Sina Gholamian, Domingo Huh
Large Language Models (LLMs) encapsulate an extensive amount of world knowledge, and this has enabled their application in various domains to improve the performance of a variety o…
Handwritten and Printed Text Segmentation: A Signature Case Study
Sina Gholamian, Ali Vahdat
While analyzing scanned documents, handwritten text can overlap with printed text. This overlap causes difficulties during the optical character recognition (OCR) and digitization…
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation
Sina Gholamian, Paul A. S. Ward
Software developers embed logging statements inside the source code as an imperative duty in modern software development as log files are necessary for tracking down runtime system…
A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis
Sina Gholamian, Paul A. S. Ward
Logs are widely used to record runtime information of software systems, such as the timestamp and the importance of an event, the unique ID of the source of the log, and a part of…
Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
Sina Gholamian
Software developers embed logging statements inside the source code as an imperative duty in modern software development as log files are necessary for tracking down runtime system…
What Distributed Systems Say: A Study of Seven Spark Application Logs
Sina Gholamian, Paul A. S. Ward
Execution logs are a crucial medium as they record runtime information of software systems. Although extensive logs are helpful to provide valuable details to identify the root cau…