( en | de | ru )

 

Disambiguation of "Jain, Shilpi"

Author of the publication

copydeleteadd this publication to your clipboard
Unsupervised Classification of Mixed Data Type of Attributes Using Genetic Algorithm (Numeric, Categorical, Ordinal, Binary, Ratio-Scaled).

, , , , and . SocProS (1), volume 258 of Advances in Intelligent Systems and Computing, page 121-131. Springer, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shilpi Sharma

Shilpi Saxena

Gora Jain

Himalaya Jain

Arpit Jain

 

Other publications of authors with the same name

Evaluation of Machine Learning Approaches for Change-Proneness Prediction Using Code Smells., and . FICTA (1), volume 515 of Advances in Intelligent Systems and Computing, page 561-572. Springer, (2016)Conducting empirical studies in industry: balancing rigor and relevance., , and . CESI@ICSE, page 9-14. IEEE Computer Society, (2013)Fighting the real AI Danger: How to Design Virtuous AI for Virtuous Decision-making., , , , and . ICIS, Association for Information Systems, (2020)Unsupervised Classification of Mixed Data Type of Attributes Using Genetic Algorithm (Numeric, Categorical, Ordinal, Binary, Ratio-Scaled)., , , , and . SocProS (1), volume 258 of Advances in Intelligent Systems and Computing, page 121-131. Springer, (2013)Crowdsourcing for API documentation: A Preliminary Investigation., and . QuASoQ/WAWSE/CMCE@APSEC, volume 1519 of CEUR Workshop Proceedings, page 43-48. CEUR-WS.org, (2015)Elevating User Experiences: Introducing Multiexperience Framework., , and . PACIS, (2024)Fractional Hypergeometric Functions., , and . Symmetry, 14 (4): 714 (2022)The Extent of Adoption of HRIS: An Empirical Investigation with Mediators & Moderators., and . AMCIS, Association for Information Systems, (2015)Impact of irritation and negative emotions on the performance of voice assistants: Netting dissatisfied customers' perspectives., , , and . Int. J. Inf. Manag., (October 2023)Predicting software change-proneness with code smells and class imbalance learning., , and . ICACCI, page 746-754. IEEE, (2016)