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Personal profile

Research Interests

Computer Engineering

External positions

Fingerprint Dive into the research topics where Krishnamoorthi Makkithaya is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 11 Similar Profiles
Public health Engineering & Materials Science
Intensive care units Engineering & Materials Science
Learning systems Engineering & Materials Science
Decision trees Engineering & Materials Science
Optical character recognition Engineering & Materials Science
Supervised learning Engineering & Materials Science
Health Engineering & Materials Science
Caffeine Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2008 2019

  • 71 Citations
  • 5 h-Index
  • 10 Article
  • 7 Conference contribution
  • 1 Conference article

MIT manipal at ImageCLef 2019 visual question answering in medical domain

Thanki, A. & Makkithaya, K., 01-01-2019, In : CEUR Workshop Proceedings. 2380

Research output: Contribution to journalConference article

Deep learning

Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction

Shirwaikar, R. D., Acharya U, D., Makkithaya, K., M, S., Srivastava, S. & Lewis U, L. E. S., 01-07-2019, In : Artificial Intelligence in Medicine. 98, p. 59-76 18 p.

Research output: Contribution to journalArticle

Apnea
Neural Networks (Computer)
Neural networks
Decision Trees
Multilayer neural networks

Design framework for a data mart in the neonatal intensive care unit

Shirwaikar, R. D., Dinesh Acharya, U., Makkithaya, K., Mallayaswamy, S. & Lewis, L. E. S., 01-01-2018, In : Critical Reviews in Biomedical Engineering. 46, 3, p. 221-243 23 p.

Research output: Contribution to journalArticle

Intensive care units
Computer systems
Decision making
Galaxies
Data mining
2 Citations (Scopus)
Caffeine
Intensive care units
Learning systems
Decision making
Physiology
13 Citations (Scopus)
Public health
Classifiers
Costs
Sampling
Data mining