KC Santosh

KC Santosh

University of South Dakota

H-index: 44

North America-United States

About KC Santosh

KC Santosh, With an exceptional h-index of 44 and a recent h-index of 38 (since 2020), a distinguished researcher at University of South Dakota, specializes in the field of Artificial Intelligence, Machine Learning, Data Mining, Computer Vision, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning Techniques for Gender Recognition and Age Prediction Using Digital Images of Human Dentition

Advances and challenges in meta-learning: A technical review

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing

Recent Trends in Image Processing and Pattern Recognition: 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II.

Image Processing Technique on Identification of Leaf Types and Detection of Diseases Portion on Tomato Leaves

Automation and AI-enabled customer journey: a bibliometric analysis

Cough Sound Analysis for the Evidence of Covid-19

Leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis

KC Santosh Information

University

Position

AI/Data Scientist | PhD (INRIA) | Department Chair Computer Science

Citations(all)

7117

Citations(since 2020)

5957

Cited By

2639

hIndex(all)

44

hIndex(since 2020)

38

i10Index(all)

168

i10Index(since 2020)

145

Email

University Profile Page

University of South Dakota

Google Scholar

View Google Scholar Profile

KC Santosh Skills & Research Interests

Artificial Intelligence

Machine Learning

Data Mining

Computer Vision

Healthcare

Top articles of KC Santosh

Title

Journal

Author(s)

Publication Date

Machine Learning Techniques for Gender Recognition and Age Prediction Using Digital Images of Human Dentition

International Research Journal on Advanced Engineering and Management (IRJAEM)

KC Santosh

N Pradeep

2024/4/5

Advances and challenges in meta-learning: A technical review

Anna Vettoruzzo

Mohamed-Rafik Bouguelia

Joaquin Vanschoren

Thorsteinn Rognvaldsson

KC Santosh

2024/1/24

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing

arXiv preprint arXiv:2401.11402

Sunil Aryal

Jonathan R Wells

Arbind Agrahari Baniya

KC Santosh

2024/1/21

Recent Trends in Image Processing and Pattern Recognition: 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II.

KC Santosh

Ravindra S Hegadi

2019/7/19

Image Processing Technique on Identification of Leaf Types and Detection of Diseases Portion on Tomato Leaves

International Research Journal on Advanced Engineering and Management (IRJAEM)

KC Santosh

N Bharathi

2024/4/5

Automation and AI-enabled customer journey: a bibliometric analysis

Vision

Jyoti Rana

Ruchi Jain

KC Santosh

2023

Cough Sound Analysis for the Evidence of Covid-19

Nicholas Rasmussen

Daniel L Elliott

Muntasir Mamun

KC Santosh

2023/5/6

Leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis

Anish Mathew Chacko

Rodrigue Rizk

KC Santosh

2023/12/7

Automated Fracture Detection from CT Scans

Abhishek Kumar Chaudhary

Shotabdi Roy

Rodrigue Rizk

KC Santosh

2023/6/5

Cervical cancerous cell classification: opposition-based harmony search for deep feature selection

International Journal of Machine Learning and Cybernetics

Nibaran Das

Bodhisatwa Mandal

KC Santosh

Linlin Shen

Sukanta Chakraborty

2023/11

Active Learning—Validation

KC Santosh

Suprim Nakarmi

2023/11/23

Session 12: Active Learning to Minimize the Possible Risk from Future Epidemics

KC Santosh

2023

Unboxing Industry-Standard AI Models for Male Fertility Prediction with SHAP

Healthcare

Debasmita GhoshRoy

Parvez Ahmad Alvi

KC Santosh

2023/3/23

Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray

Ronaj Pradhan

KC Santosh

2023/12/7

Active learning to minimize the risk from future epidemics

Suprim Nakarmi

KC Santosh

2023/6/5

Leveraging sampling schemes on skewed class distribution to enhance male fertility detection with ensemble AI learners

Debasmita GhoshRoy

PA Alvi

KC Santosh

2023/9/14

Active Learning

E de Graaff

2008

Guest editorial multimodal learning in medical imaging informatics

IEEE Journal of Biomedical and Health Informatics

KC Santosh

Sameer Antani

2023/3/7

Case Study# 3: Reading/Analyzing Chest X-rays

KC Santosh

Suprim Nakarmi

2023/11/23

Ensemble Deep Convolutional Neural Network to Identify Fractured Limbs using CT Scans

Anup Khanal

Rodrigue Rizk

KC Santosh

2023/6/5

See List of Professors in KC Santosh University(University of South Dakota)

Co-Authors

H-index: 87
Aboul Ella Hassanien Ali

Aboul Ella Hassanien Ali

Cairo University

H-index: 48
Mita Nasipuri

Mita Nasipuri

Jadavpur University

H-index: 46
Partha Pratim Roy

Partha Pratim Roy

Indian Institute of Technology Roorkee

H-index: 22
Bart Lamiroy

Bart Lamiroy

Université de Reims Champagne-Ardenne

H-index: 19
Sunil Aryal, PhD, FHEA

Sunil Aryal, PhD, FHEA

Deakin University

H-index: 17
Szilard VAJDA

Szilard VAJDA

Central Washington University

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