201 citations · 219 across the 4 of their papers we have counts for
5 papers
From Hubs to Deserts: Urban Cultural Accessibility Patterns with Explainable AI
Protik Bose Pranto, Minhazul Islam, Ripon Kumar Saha +2
Cultural infrastructures, such as libraries, museums, theaters, and galleries, support learning, civic life, health, and local economies, yet access is uneven across cities. We pre…
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
Ripon K. Saha, Akira Ura, Sonal Mahajan +6
Automatic machine learning, or AutoML, holds the promise of truly democratizing the use of machine learning (ML), by substantially automating the work of data scientists. However,…
Elixir: Effective object-oriented program repair
Ripon K. Saha, Yingjun Lyu, Hiroaki Yoshida +1
This work is motivated by the pervasive use of method invocations in object-oriented (OO) programs, and indeed their prevalence in patches of OO-program bugs. We propose a generate…
Harnessing Evolution for Multi-Hunk Program Repair
Seemanta Saha, Ripon K. Saha, Mukul R. Prasad
Despite significant advances in automatic program repair (APR)techniques over the past decade, practical deployment remains an elusive goal. One of the important challenges in this…
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model
Saikat Chakraborty, Yujian Li, Matt Irvine +2
Locating bugs is challenging but one of the most important activities in software development and maintenance phase because there are no certain rules to identify all types of bugs…