activity
20182022
most citedML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students

12 citations · 37 across the 18 of their papers we have counts for

collaborators

24 papers

cs.SE20223 cited

On the Energy Consumption of Different Dataframe Processing Libraries -- An Exploratory Study

Shriram Shanbhag, Sridhar Chimalakonda

Background: The energy consumption of machine learning and its impact on the environment has made energy efficient ML an emerging area of research. However, most of the attention s…

cs.CY20222 cited

VedicViz: Towards Visualizing Vedic Principles in Mental Arithmetic

Noble Saji Mathews, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda

Augmenting teaching with visualization can help students understand concepts better. Researchers have leveraged visualization to teach conventional mathematics some examples being…

cs.SE2022

eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps

Kowndinya Boyalakuntla, Marimuthu C, Sridhar Chimalakonda +1

The demand for reducing the energy consumption of location-based applications has increased in recent years. The abnormal battery-draining behavior of GPS makes it difficult for th…

cs.HC202112 cited

ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students

Shruti Priya, Shubhankar Bhadra, Sridhar Chimalakonda

Today, Machine Learning (ML) is of a great importance to society due to the availability of huge data and high computational resources. This ultimately led to the introduction of M…

cs.SE2021

SOCluster- Towards Intent-based Clustering of Stack Overflow Questions using Graph-Based Approach

Abhishek Kumar, Deep Ghadiyali, Sridhar Chimalakonda

Stack Overflow (SO) platform has a huge dataset of questions and answers driven by interactions between users. But the count of unanswered questions is continuously rising. This is…

cs.SE2021

COSPEX: A Program Comprehension Tool for Novice Programmers

Ashutosh Rajput, Nakshatra Gupta, Sridhar Chimalakonda

Developers often encounter unfamiliar code during software maintenance which consumes a significant amount of time for comprehension, especially for novice programmers. Automated t…