Works (38)

Updated: March 2nd, 2024 07:44

2023 journal article

(Re)Use of Research Results (Is Rampant)

COMMUNICATIONS OF THE ACM, 66(2), 75–81.

co-author countries: Canada 🇨🇦 Germany 🇩🇪 Italy 🇮🇹 United States of America 🇺🇸

Contributors: M. Baldassarre*, N. Ernst*, B. Hermann*, T. Menzies n & R. Yedida n

Sources: Web Of Science, ORCID
Added: February 27, 2023

2023 journal article

An expert system for redesigning software for cloud applications

EXPERT SYSTEMS WITH APPLICATIONS, 219.

By: R. Yedida n, R. Krishna, A. Kalia, T. Menzies n, J. Xiao & M. Vukovic

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida n, R. Krishna, A. Kalia, T. Menzies n, J. Xiao & M. Vukovic

author keywords: Software engineering; Microservices; Deep learning; Hyper-parameter optimization; Refactoring
Sources: Web Of Science, ORCID
Added: March 27, 2023

2023 journal article

How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2856–2872.

By: R. Yedida n, H. Kang*, H. Tu*, X. Yang n, D. Lo* & T. Menzies n

co-author countries: Singapore 🇸🇬 United States of America 🇺🇸

Contributors: R. Yedida n, H. Kang*, H. Tu*, X. Yang n, D. Lo* & T. Menzies n

author keywords: Codes; Computer bugs; Static analysis; Training; Source coding; Measurement; Industries; Software analytics; static analysis; false alarms; locality; hyperparameter optimization
Sources: Web Of Science, ORCID
Added: May 30, 2023

2022 article

How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs

ArXiv.

By: R. Yedida*, H. Kang, H. Tu, X. Yang, D. Lo & T. Menzies

Contributors: R. Yedida*, H. Kang, H. Tu, X. Yang, D. Lo & T. Menzies

Source: ORCID
Added: February 1, 2024

2022 article

How to Improve Deep Learning for Software Analytics (a case study with code smell detection)

2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 156–166.

By: R. Yedida n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida n & T. Menzies n

author keywords: code smell detection; deep learning; autoencoders
Sources: Web Of Science, ORCID
Added: September 19, 2022

2022 article

How to Improve Deep Learning for Software Analytics (a case study with code smell detection)

ArXiv.

By: R. Yedida* & T. Menzies

Contributors: R. Yedida* & T. Menzies

Source: ORCID
Added: February 1, 2024

2022 article

TEXT MINING OF THE PEOPLE'S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES

MedRxiv.

By: R. Yedida*, J. Beasley*, D. Korn*, S. Abrar*, C. Melo-Filho*, E. Muratov*, J. Graedon*, T. Graedon*, R. Chirkova, A. Tropsha*

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida*, J. Beasley*, D. Korn*, S. Abrar*, C. Melo-Filho*, E. Muratov*, J. Graedon*, T. Graedon*, R. Chirkova, A. Tropsha*

Source: ORCID
Added: February 1, 2024

2021 article

An Expert System for Redesigning Software for Cloud Applications

ArXiv.

By: R. Yedida*, R. Krishna, A. Kalia, T. Menzies, J. Xiao & M. Vukovic

Contributors: R. Yedida*, R. Krishna, A. Kalia, T. Menzies, J. Xiao & M. Vukovic

Source: ORCID
Added: February 1, 2024

2021 article

Beginning with machine learning: a comprehensive primer

Yedida, R., & Saha, S. (2021, July 21). EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, Vol. 7.

By: R. Yedida n & S. Saha*

co-author countries: India 🇮🇳 United States of America 🇺🇸

Contributors: R. Yedida n & S. Saha*

Sources: Web Of Science, ORCID
Added: August 2, 2021

2021 report

Crowdsourcing the State of the Art(ifacts

(ArXiv Preprint No. 2108.06821).

By: M. Baldassarre, N. Ernst, B. Hermann, T. Menzies & R. Yedida

Source: NC State University Libraries
Added: January 13, 2022

2021 article

Crowdsourcing the state of the art(ifacts)

ArXiv.

By: M. Baldassarre, N. Ernst, B. Hermann, T. Menzies & R. Yedida

Contributors: M. Baldassarre, N. Ernst, B. Hermann, T. Menzies & R. Yedida

Source: ORCID
Added: February 1, 2024

2021 article

Documenting Evidence of a Reuse of 'A Systematic Study of the Class Imbalance Problem in Convolutional Neural Networks'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1595–1595.

By: R. Yedida n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida n & T. Menzies n

author keywords: reuse; replication; oversampling; defect prediction
Sources: ORCID, Web Of Science
Added: January 4, 2022

2021 article

Documenting Evidence of a Reuse of 'On the Number of Linear Regions of Deep Neural Networks'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1596–1596.

By: R. Yedida n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida n & T. Menzies n

author keywords: reuse; replication; deep learning; defect prediction
Sources: ORCID, Web Of Science
Added: January 4, 2022

2021 journal article

Learning to recognize actionable static code warnings (is intrinsically easy)

EMPIRICAL SOFTWARE ENGINEERING, 26(3).

By: X. Yang n, J. Chen n, R. Yedida n, Z. Yu n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: X. Yang n, J. Chen n, R. Yedida n, Z. Yu n & T. Menzies n

author keywords: Static code analysis; Actionable warnings; Deep learning; Linear SVM; Intrinsic dimensionality
Sources: Web Of Science, ORCID
Added: May 17, 2021

2021 conference paper

Lessons learned from hyper-parameter tuning for microservice candidate identi cation

Proceedings of the thirty-sixth IEEE/ACM International Conference on Automated Software Engineering (ASE). Presented at the 36th IEEE/ACM International Conference on Automated Software Engineering, (Virtual).

By: R. Yedida, R. Krishna, A. Kalia, T. Menzies, J. Xiao & M. Vukovic

Event: 36th IEEE/ACM International Conference on Automated Software Engineering at (Virtual) on November 14-20, 2021

Source: NC State University Libraries
Added: January 13, 2022

2021 article

Lessons learned from hyper-parameter tuning for microservice candidate identification

ArXiv.

By: R. Yedida*, R. Krishna, A. Kalia, T. Menzies, J. Xiao & M. Vukovic

Contributors: R. Yedida*, R. Krishna, A. Kalia, T. Menzies, J. Xiao & M. Vukovic

Source: ORCID
Added: February 1, 2024

2021 conference paper

Lessons learned from hyper-parameter tuning for microservice candidate identification

Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering, ASE 2021, 1141–1145.

By: R. Yedida*, R. Krishna, A. Kalia, T. Menzies*, J. Xiao & M. Vukovic

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida*, R. Krishna, A. Kalia, T. Menzies*, J. Xiao & M. Vukovic

Source: ORCID
Added: February 1, 2024

2021 journal article

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

APPLIED INTELLIGENCE, 51(3), 1460–1478.

By: R. Yedida n, S. Saha & T. Prashanth*

co-author countries: India 🇮🇳 United States of America 🇺🇸

Contributors: R. Yedida n, S. Saha & T. Prashanth*

author keywords: Lipschitz constant; Adaptive learning; Machine learning; Deep learning
Sources: Web Of Science, ORCID
Added: October 19, 2020

2021 article

Old but Gold: Reconsidering the value of feedforward learners for software analytics

ArXiv.

By: R. Yedida*, X. Yang & T. Menzies

Contributors: R. Yedida*, X. Yang & T. Menzies

Source: ORCID
Added: February 1, 2024

2021 journal article

On the Value of Oversampling for Deep Learning in Software Defect Prediction

IEEE Transactions on Software Engineering, 48(8), 1–1.

By: R. Yedida n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: R. Yedida n & T. Menzies n

author keywords: Deep learning; Tuning; Predictive models; Standards; Prediction algorithms; Training; Tools; Defect prediction; oversampling; class imbalance; neural networks
Sources: Web Of Science, ORCID, Crossref
Added: June 12, 2021

2021 journal article

Simpler Hyperparameter Optimization for Software Analytics: Why, How, When

IEEE Transactions on Software Engineering, 48(8), 1–1.

By: A. Agrawal*, X. Yang n, R. Agrawal n, R. Yedida n, X. Shen n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: A. Agrawal*, X. Yang n, R. Agrawal n, R. Yedida n, X. Shen n & T. Menzies n

author keywords: Software analytics; hyperparameter optimization; defect prediction; bad smell detection; issue close time; bug reports
Sources: Web Of Science, ORCID, Crossref
Added: June 12, 2021

2021 report

When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time

(ArXiv Preprint No. 2101.06319).

By: R. Yedida, X. Yang & T. Menzies

Source: NC State University Libraries
Added: June 12, 2021

2020 review

Evolution of novel activation functions in neural network training for astronomy data: habitability classification of exoplanets

[Review of ]. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 229(16), 2629–2738.

By: S. Saha*, N. Nagaraj*, A. Mathur, R. Yedida n & H. Sneha

co-author countries: India 🇮🇳 United States of America 🇺🇸

Contributors: S. Saha*, N. Nagaraj*, A. Mathur, R. Yedida n & S. H R

Sources: Web Of Science, ORCID
Added: November 30, 2020

2020 article

How to Recognize Actionable Static Code Warnings (Using Linear SVMs)

ArXiv.

By: X. Yang n, J. Chen n, R. Yedida n, Z. Yu n & T. Menzies n

co-author countries: United States of America 🇺🇸

Contributors: X. Yang n, J. Chen n, R. Yedida n, Z. Yu n & T. Menzies n

Source: ORCID
Added: February 1, 2024

2020 article

On the value of oversampling for deep learning in software defect prediction

ArXiv.

By: R. Yedida* & T. Menzies

Contributors: R. Yedida* & T. Menzies

Source: ORCID
Added: February 1, 2024

2020 chapter

Optimizing Inter-nationality of Journals: A Classical Gradient Approach Revisited via Swarm Intelligence

In Communications in Computer and Information Science: Vol. 1290. Modeling, Machine Learning and Astronomy (Vol. 1290, pp. 3–14).

By: L. Khaidem*, R. Yedida n & A. Theophilus*

co-author countries: India 🇮🇳 United States of America 🇺🇸

Contributors: L. Khaidem*, R. Yedida n & A. Theophilus*

Event: Communications in Computer and Information Science at Bangalore, India on November 22-23, 2019

Sources: Crossref, ORCID
Added: June 12, 2021

2020 conference paper

Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets

2020 International Joint Conference on Neural Networks (IJCNN), 1–8.

By: S. Sridhar*, S. Saha*, A. Shaikh*, R. Yedida n & S. Saha*

co-author countries: India 🇮🇳 United States of America 🇺🇸

Contributors: S. Sridhar*, S. Saha*, A. Shaikh*, R. Yedida n & S. Saha*

Event: 2020 International Joint Conference on Neural Networks (IJCNN)

Sources: Crossref, ORCID
Added: June 12, 2021

2020 article

Parsimonious computing: A minority training regime for effective prediction in large microarray expression data sets

ArXiv.

Contributors: .. Sridhar, .. Saha, .. Shaikh, .. Yedida* & .. Saha

Source: ORCID
Added: February 1, 2024

2020 report

Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets

(ArXiv Preprint No. 2011.07959).

By: R. Yedida, S. Abrar, C. Melo-Filho, E. Muratov, R. Chirkova & A. Tropsha

Source: NC State University Libraries
Added: June 12, 2021

2020 article

Text mining to identify and extract novel disease treatments from unstructured datasets

ArXiv.

By: R. Yedida, S. Abrar, C. Melo-Filho, E. Muratov, R. Chirkova & A. Tropsha

Contributors: R. Yedida, S. Abrar, C. Melo-Filho, E. Muratov, R. Chirkova & A. Tropsha

Source: ORCID
Added: February 1, 2024

2019 article

Evolution of novel activation functions in neural network training with applications to classification of exoplanets

ArXiv.

By: S. Saha, N. Nagaraj, A. Mathur & R. Yedida

Contributors: S. Saha, N. Nagaraj, A. Mathur & R. Yedida

Source: ORCID
Added: February 1, 2024

2019 article

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

ArXiv.

By: R. Yedida* & S. Saha

Contributors: R. Yedida* & S. Saha

Source: ORCID
Added: February 1, 2024

2019 article

Simpler hyperparameter optimization for software analytics: Why, how, when?

ArXiv.

By: A. Agrawal, X. Yang, R. Agrawal, R. Yedida, X. Shen & T. Menzies

Contributors: A. Agrawal, X. Yang, R. Agrawal, R. Yedida, X. Shen & T. Menzies

Source: ORCID
Added: February 1, 2024

2018 speech

An Introduction to Data Analysis

Presented at the PES University, Bangalore, India.

By: R. Yedida

Event: PES University at Bangalore, India

Source: NC State University Libraries
Added: January 13, 2022

2018 article

Employee attrition prediction

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095619264&partnerID=MN8TOARS

By: R. Yedida, R. Reddy, R. Vahi, R. J., Abhilash & D. Kulkarni

Contributors: R. Yedida, R. Reddy, R. Vahi, J. Rahul, Abhilash & D. Kulkarni

Source: ORCID
Added: February 1, 2024

2018 speech

How to design a Flappy Bird game

Presented at the PES University, Bangalore, India.

By: R. Yedida

Event: PES University at Bangalore, India

Source: NC State University Libraries
Added: January 13, 2022

2018 speech

Machine Learning

Presented at the PES University, Bangalore, India.

By: R. Yedida

Event: PES University at Bangalore, India

Source: NC State University Libraries
Added: January 13, 2022

2017 speech

Complexity Classes and NP-Completeness

Presented at the PES University, Bangalore, India.

By: R. Yedida

Event: PES University at Bangalore, India

Source: NC State University Libraries
Added: January 13, 2022

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.