Vivek Kumar Singh
Vivek Kumar Singh
Marie Sklodowska-Curie Researcher: Philips Research, Netherlands & University of Cagliari, Italy.
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Cited by
Cited by
Prediction of malignant and benign breast cancer: A data mining approach in healthcare applications
V Kumar, BK Mishra, M Mazzara, DNH Thanh, A Verma
Advances in data science and management, 435-442, 2020
Implementation of n-gram methodology for rotten tomatoes review dataset sentiment analysis
P Tiwari, BK Mishra, S Kumar, V Kumar
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, 689-701, 2020
A skin lesion segmentation method for dermoscopic images based on adaptive thresholding with normalization of color models
DNH Thanh, U Erkan, VBS Prasath, V Kumar, NN Hien
2019 6th International Conference on Electrical and Electronics Engineering …, 2019
A reference architecture for smart and software-defined buildings
M Mazzara, I Afanasyev, SR Sarangi, S Distefano, V Kumar, M Ahmad
2019 IEEE International Conference on Smart Computing (SMARTCOMP), 167-172, 2019
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks
V Kumar, M Mazzara, A Messina, JY Lee
International Conference in Software Engineering for Defence Applications …, 2018
Unsupervised learning dimensionality reduction algorithm PCA for face recognition
V Kumar, D Kalitin, P Tiwari
2017 international conference on computing, communication and automation …, 2017
Anatomy of preprocessing of big data for monolingual corpora paraphrase extraction: source language sentence selection
V Kumar, A Verma, N Mittal, SV Gromov
Emerging Technologies in Data Mining and Information Security, 495-505, 2019
Fault Detection Technique by using OTDR: Limitations and drawbacks on practical approach of measurement
V Kumar, D Rajouria
(IJETAE) 2, 283-287, 2012
Improved performance of data warehouse
P Tiwari, S Kumar, AC Mishra, V Kumar, B Terfa
2017 International Conference on Inventive Communication and Computational …, 2017
Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes
V Kumar, DR Recupero, D Riboni, R Helaoui
IEEE Access 9, 7107-7126, 2020
Comparative performance analysis of image de-noising techniques
V Kumar, A Samadhiya
arXiv preprint arXiv:1901.06529, 2019
Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis
V Kumar, R Zinovyev, A Verma, P Tiwari
2018 International Conference on Research in Intelligent and Computing in …, 2018
Image De-Noising For Salt and Pepper Noise by Introducing New Enhanced Filter
V Kumar, P Yadav, M Jain, A Samadhiya, S Jain
International Conference on Innovations in Engineering and Technology (ICIET …, 2013
Towards Detecting Need for Empathetic Response in Motivational Interviewing
Z Wu, R Helaoui, V Kumar, D Reforgiato Recupero, D Riboni
Companion Publication of the 2020 International Conference on Multimodal …, 2020
TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study
D Dessė, R Helaoui, V Kumar, D Reforgiato Recupero, D Riboni
1st Workshop on Smart Personal Health Interfaces, SmartPhil 2020 2596, 1-12, 2020
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
D Riboni
Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm
V Kumar, P Yadav, S Jain, A Samadhiya
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