Kanu Goel |
Computer Science and Engineering |
Kanu Goel and Shalini Batra, Adaptive Online Learning for Classification under Concept Drift, International Journal of Computational Science and Engineering, Inderscience, 2021, https://doi.org/10.1504/IJCSE.2021.115099 (SCOPUS and ESCI Indexed) |
Kanu Goel |
Computer Science and Engineering |
Kanu Goel and Shalini Batra, Dynamically updated diversified ensemble based approach for handling concept drift, Turkish Journal of Electrical Engineering & Computer Sciences, 2020 https://doi.org/10.3906/elk-1810-122 (SCIE IF: 1.2) |
Kanu Goel |
Computer Science and Engineering |
Kanu Goel and Shalini Batra, Dynamically adaptive and diverse dual ensemble learning approach for handling concept drift in data streams, Computational Intelligence, Wiley, 2021 https://doi.org/10.1111/coin.12475 (SCIE IF: 1.8) |
Kanu Goel |
Computer Science and Engineering |
Kanu Goel and Shalini Batra, Two-Level Pruning based Ensemble with Abstained Learners for Concept Drift in Data Streams, Expert Systems, Wiley, 2020 https://doi.org/10.1111/exsy.12661 (SCIE IF: 3.0) |
Nitin Kumar |
Computer Science and Engineering |
Nitin Kumar, R. K. Agrawal. Block LDA via QR-Decomposition for Face Recognition with Single Image per Person. International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 19, no. 3, pp. 173-181, 2015, ISSN No. 1327-2314, DOI: https://doi.org/10.3233/KES-150319 (Scopus) |
Nitin Kumar |
Computer Science and Engineering |
Nitin Kumar, R. K. Agrawal and Ajay Jaiswal. Incremental and Decremental Non-parametric Discriminant Analysis for Face Recognition. Computing and Informatics, vol. 35, no. 5, pp. 1231-1248, 2016, ISSN No: 1335-9150. (SCI-E, IF - 0.455) |
Nitin Kumar |
Computer Science and Engineering |
Nitin Kumar, Thresholding in Salient Object Detection: A Survey. Multimedia Tools and Applications, Springer, Vol. 77, No. 15, pp. 19139-19170, 2017. DOI: https://doi.org/10.1007/s11042-017-5329-y, ISSN No: 1380-7501. (SCI-E, IF - 2.577) |
Nitin Kumar |
Computer Science and Engineering |
Nitin Kumar, Surendra Singh, Abhimanyu Kumar, Random Permutation Principal Component Analysis for Cancelable Biometric Recognition, Applied Intelligence, Springer, Vol. 48, No. 9, pp. 2824 – 2836, 2017. DOI https://doi.org/10.1007/s10489-017-1117-7, ISSN No: 0924-669X (SCI, IF – 5.019) |
Nitin Kumar |
Computer Science and Engineering |
Surendra Singh, Sachin Tripathi, Nitin Kumar, An Enhanced Security-aware Dynamic Packet Scheduling Scheme for Wireless Networks using Intelligent Time Slice based Krill Herd Algorithm, Journal of Electromagnetic Waves and Applications, Taylor and Francis, vol. 32, no. 16, pp. 2135-2156, 2018, ISSN No: 1569-3937, DOI: https://doi.org/10.1080/09205071.2018.1497549, (SCI-E, IF - 1.438) |
Nitin Kumar |
Computer Science and Engineering |
Nitin Kumar, Vaani Garg. Single Sample Face Recognition in the Last Decade: A Survey, International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, No.13, 1956009 (38 pages), 2019, ISSN: 0218-0014, DOI: https://doi.org/10.1142/S0218001419560093 (SCI-E, IF - 1.261) |