Nitin Kumar

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 55

Top Topics

Biometric Template

Salient Object Detection

Discriminant Analysis

Top Venues

Multim. Tools Appl.

Artif. Intell. Rev.

Nucleic Acids Res.

RAIRO Oper. Res.

Publications

Emily Doherty, Cara A. Spencer, Lucca Eloy, Nitin Kumar, Rachel Dickler, Leanne M. Hirshfield
Using Speech Patterns to Model the Dimensions of Teamness in Human-Agent Teams. ICMI (2023)
Aryan Ghazipour, Tyler Settle, Benjamin Veasey, Emily Daugherty, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini
Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning. ISBI (2023)
Shubham Agrawal, Nitin Kumar, Geetanjali Rathee, Carlos T. Calafate, Chaker Abdelaziz Kerrache
Determining the Accuracy of Reinforced Model via Sentiment and Technical Analysis as a Stock Market Prediction Technique. ICT-DM (2023)
Nitin Kumar, Preeti Rani, Vinod Kumar, Pawan Kumar Verma, Deepika Koundal
TEEECH: Three-Tier Extended Energy Efficient Clustering Hierarchy Protocol for Heterogeneous Wireless Sensor Network. Expert Syst. Appl. 216 (2023)
Prabhjot Kaur, Nitin Kumar, Maheep Singh
SURFBCS: speeded up robust features based fuzzy vault scheme in biometric cryptosystem. J. Supercomput. 79 (11) (2023)
Prabhjot Kaur, Nitin Kumar, Maheep Singh
Biometric cryptosystems: a comprehensive survey. Multim. Tools Appl. 82 (11) (2023)
Neha Goyal, Nitin Kumar, Kapil Gupta
Lower-dimensional intrinsic structural representation of leaf images and plant recognition. Signal Image Video Process. 16 (1) (2022)
Vivek Kumar Singh, Nitin Kumar
CoBRa: convex hull based random walks for salient object detection. Multim. Tools Appl. 81 (21) (2022)
Nitin Kumar, Anuj Jain
A Deep Learning Based Model to Assist Blind People in Their Navigation. J. Inf. Technol. Educ. Innov. Pract. 21 (2022)
Nitin Kumar, Manisha
CBRW: a novel approach for cancelable biometric template generation based on 1-D random walk. Appl. Intell. 52 (13) (2022)
Neha Goyal, Nitin Kumar, Kapil
Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification. Multim. Tools Appl. 81 (22) (2022)
Manisha, Nitin Kumar
CBRC: a novel approach for cancelable biometric template generation using random permutation and Chinese Remainder Theorem. Multim. Tools Appl. 81 (16) (2022)
Naziya Hussain, Preeti Rani, Nitin Kumar, Megha Gupta Chaudhary
A Deep Comprehensive Research Architecture, Characteristics, Challenges, Issues, and Benefits of Routing Protocol for Vehicular Ad-Hoc Networks. Int. J. Distributed Syst. Technol. 13 (8) (2022)
Timothee Cezard, Fiona Cunningham, Sarah E. Hunt, Baron Koylass, Nitin Kumar, Gary Saunders, April Shen, Andres f Silva, Kirill Tsukanov, Sundararaman Venkataraman, Paul Flicek, Helen E. Parkinson, Thomas M. Keane
The European Variation Archive: a FAIR resource of genomic variation for all species. Nucleic Acids Res. 50 (D1) (2022)
Nitin Kumar, Manoj Kumar
Low power CMOS differential ring VCO designs using dual delay stages in 0.13 μm technology for wireless applications. Microelectron. J. 111 (2021)
Vivek Kumar Singh, Nitin Kumar
SOFT: salient object detection based on feature combination using teaching-learning-based optimization. Signal Image Video Process. 15 (8) (2021)
Umesh Chandra Gupta, Nitin Kumar, Sourav Pradhan, Farida Parvez Barbhuiya, Mohan L. Chaudhry
/1. RAIRO Oper. Res. 55 (3) (2021)
Nitin Kumar, Shreya Neema, Madhusmita Das, Biju R. Mohan
Program Slicing Analysis with KLEE, DIVINE and Frama-C. ICAC (2021)
Vivek Kumar Singh, Nitin Kumar
CHELM: Convex Hull based Extreme Learning Machine for salient object detection. Multim. Tools Appl. 80 (9) (2021)
Shiv Naresh Shivhare, Nitin Kumar
Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms. Multim. Tools Appl. 80 (17) (2021)
Uri Nissanov, Ghanshyam Singh, Eliezer Gelbart, Nitin Kumar
Highly Directive Microstrip Array Antenna with FSS for Future Generation Cellular Communication at THz Band. Wirel. Pers. Commun. 118 (1) (2021)
Suresh Madhavan, Nitin Kumar
Incremental methods in face recognition: a survey. Artif. Intell. Rev. 54 (1) (2021)
V. P. Meena, Nitin Kumar, Rakesh Kumar Lenka, Rabindra K. Barik, Vinay Pratap Singh
DE Based Reduced-Order Modeling for Interval Modeling Doha Water Treatment Plant. OCIT (2021)
Neha Goyal, Nitin Kumar, Kapil Gupta
On solving leaf classification using linear regression. Multim. Tools Appl. 80 (3) (2021)
Vivek Kumar Singh, Nitin Kumar, Suresh Madhavan
Saliency Boosting: a novel framework to refine salient object detection. Artif. Intell. Rev. 53 (5) (2020)
Manisha, Nitin Kumar
On Generating Cancelable Biometric Templates Using Visual Secret Sharing. SAI (3) (2020)
Nitin Kumar, Harish Kumar Sardana, S. N. Shome, Vishavpreet Singh
Saliency-based classification of objects in unconstrained underwater environments. Multim. Tools Appl. 79 (35-36) (2020)
Nitin Kumar, U. C. Gupta
Analysis of batch Bernoulli process subject to discrete-time renewal generated binomial catastrophes. Ann. Oper. Res. 287 (1) (2020)
Vivek Kumar Singh, Nitin Kumar
Saliency bagging: a novel framework for robust salient object detection. Vis. Comput. 36 (7) (2020)
Anita, Anupam Yadav, Nitin Kumar
Artificial electric field algorithm for engineering optimization problems. Expert Syst. Appl. 149 (2020)
Manisha, Nitin Kumar
Cancelable Biometrics: a comprehensive survey. Artif. Intell. Rev. 53 (5) (2020)
Vivek Kumar Singh, Nitin Kumar, Navjot Singh
A hybrid approach using color spatial variance and novel object position prior for salient object detection. Multim. Tools Appl. 79 (39-40) (2020)
Nitin Kumar, Suyash P. Awate
Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images. IEEE Trans. Image Process. 29 (2020)
Nitin Kumar, Farida Parvez Barbhuiya, Umesh Chandra Gupta
Analysis of a geometric catastrophe model with discrete-time batch renewal arrival process. RAIRO Oper. Res. 54 (5) (2020)
Nitin Kumar, Harish Kumar Sardana, S. N. Shome, Neerja Mittal
Saliency Subtraction Inspired Automated Event Detection in Underwater Environments. Cogn. Comput. 12 (1) (2020)
Nitin Kumar, Manisha Rawat
RP-LPP : a random permutation based locality preserving projection for cancelable biometric recognition. Multim. Tools Appl. 79 (3-4) (2020)
Nitin Kumar, Manoj Kumar
Low Power, Ring VCO with Pre-Charge and Pre-Discharge Circuit for 4 GHz-6.1 GHz Applications in 0.18 μm CMOS. J. Circuits Syst. Comput. 28 (11) (2019)
Nitin Kumar, Vaani Garg
Single Sample Face Recognition in the Last Decade: A Survey. Int. J. Pattern Recognit. Artif. Intell. 33 (13) (2019)
Shiv Naresh Shivhare, Nitin Kumar, Navjot Singh
A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI. Multim. Tools Appl. 78 (24) (2019)
Anita, Anupam Yadav, Nitin Kumar
Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem. SoCPaR (2019)
Nitin Kumar, Sharat Chandran, Ajit V. Rajwade, Suyash P. Awate
Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. ICIP (2019)
Neha Goyal, Kapil Gupta, Nitin Kumar
Multiclass Twin Support Vector Machine for plant species identification. Multim. Tools Appl. 78 (19) (2019)
Anita, Anupam Yadav, Nitin Kumar
Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems. SocProS (1) (2019)
Nitin Kumar, Harish Kumar Sardana, S. N. Shome
Saliency based shape extraction of objects in unconstrained underwater environment. Multim. Tools Appl. 78 (11) (2019)
Nitin Kumar
Thresholding in salient object detection: a survey. Multim. Tools Appl. 77 (15) (2018)
Shalini Gupta, Abhimanyu Kumar, Nitin Kumar
Design of ECC based authenticated group key agreement protocol using self-certified public keys. RAIT (2018)
Nitin Kumar, Surendra Singh, Abhimanyu Kumar
Random permutation principal component analysis for cancelable biometric recognition. Appl. Intell. 48 (9) (2018)
Nitin Kumar, Maheep Singh, Surendra Singh, Abhimanyu Kumar
A study of training free salient object detection methods in presence of noise. ICSIPA (2017)
Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. ICIP (2017)
Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. MICCAI (3) (2017)
Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal
Salient Object Detection in Noisy Images. Canadian Conference on AI (2016)
Nitin Kumar, R. K. Agrawal
Two-dimensional exponential discriminant analysis for small sample size in face recognition. Int. J. Artif. Intell. Soft Comput. 5 (3) (2016)
Samuel C. Forster, Hilary P. Browne, Nitin Kumar, Martin Hunt, Hubert Denise, Alex L. Mitchell, Robert D. Finn, Trevor D. Lawley
HPMCD: the database of human microbial communities from metagenomic datasets and microbial reference genomes. Nucleic Acids Res. 44 (Database-Issue) (2016)
Nitin Kumar, Abhishek Pradhan
Personalized Terms Derivative: Semi-supervised Word Root Finder. ICIT (2016)
Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. Comput. Informatics 35 (5) (2016)
Nitin Kumar, Kaushikee Khaund, Shyamanta M. Hazarika
Bispectral Analysis of EEG for Emotion Recognition. IHCI (2015)
Nitin Kumar, R. K. Agrawal
Block LDA via QR-decomposition for face recognition with single image per person. Int. J. Knowl. Based Intell. Eng. Syst. 19 (3) (2015)
Nitin Kumar, Sugandha Agarwal, Rashmi Dubey
Rendering Rigid Shadows Using Hybrid Algorithm. SocProS (1) (2015)
Nitin Kumar, C. Ghanshyam, Ajay K. Sharma
Effect of multi-path fading model on T-ANT clustering protocol for WSN. Wirel. Networks 21 (4) (2015)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Analysis and evaluation of regression-based methods for facial pose classification. Int. J. Appl. Pattern Recognit. 2 (1) (2015)
Haoyang Cai, Nitin Kumar, Ni Ai, Saumya Gupta, Prisni Rath, Michael Baudis
Progenetix: 12 years of oncogenomic data curation. Nucleic Acids Res. 42 (Database-Issue) (2014)
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. SIRS (2014)
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. Int. J. Comput. Vis. Image Process. 4 (1) (2014)
Haoyang Cai, Nitin Kumar, Homayoun C. Bagheri, Christian von Mering, Mark D. Robinson, Michael Baudis
Chromothripsis-like patterns are recurring, but heterogeneously distributed features in cancer: A survey of 22, 347 genomic copy number profiles. IWBBIO (2013)
Siddhartha Banerjee, Nitin Kumar, C. E. Veni Madhavan
Text Simplification for Enhanced Readability. KDIR/KMIS (2013)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. Int. J. Comput. Vis. Image Process. 2 (2) (2012)
Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. CIARP (2012)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Statistical Framework for Facial Pose Classification. MICAI (1) (2012)
Nitin Kumar, Ajay Jaiswal, Ramesh K. Agrawal
Performance evaluation of subspace methods to tackle small sample size problem in face recognition. ICACCI (2012)
Ajay Jaiswal, Ramesh K. Agrawal, Nitin Kumar
Performance evaluation of linear subspace methods for face recognition under illumination variation. C3S2E (2011)
Nitin Kumar, P. Sreenivasa Kumar
An Efficient Heuristic for Logical Optimization of ETL Workflows. BIRTE (2010)
Amol Vasudeva, J. Sandeepan, Nitin Kumar
PASE: P2P Network Based Academic Search and File Sharing Application. CICSyN (2009)
Maria Halkidi, Dimitrios Gunopulos, Michalis Vazirgiannis, Nitin Kumar, Carlotta Domeniconi
A clustering framework based on subjective and objective validity criteria. ACM Trans. Knowl. Discov. Data 1 (4) (2008)
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle
A Practical Tool for Visualizing and Data Mining Medical Time Series. CBMS (2005)
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
Assumption-Free Anomaly Detection in Time Series. SSDBM (2005)
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. ICDM (2005)
Nitin Kumar, Dimitrios Gunopulos, Vana Kalogeraki
Sensor Network Coverage Restoration. DCOSS (2005)
Banit Agrawal, Nitin Kumar, Mart L. Molle
Controlling spam Emails at the routers. ICC (2005)
Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases. SDM (2005)
Alan I. Penn, Nitin Kumar, Scott F. Thompson, Mitchell D. Schnall, Fei Wang, Constantine Gatsonis
Preliminary performance analysis of breast MRI CAD system. Medical Imaging: Image Processing (2001)