Journals
Journals
Y. Vivek, V. Ravi, and P. R. Krishna, “Quantum-inspired evolutionary algorithms for feature subset selection: A comprehensive survey,” arXiv preprint arXiv:2407.17946, 2024, (Accepted, Quantum information processing journal, SCIE, IF: 2.2).
S. Kumar, Y. Vivek, V. Ravi, and I. Bose, “Causal inference for banking, finance, and insurance – a survey,” 2025. eprint: 2205.09465, (ACM Computing Surveys, Accepted 2025,SCIE, IF: 23.8).
Y. Vivek, V. Ravi, P. Radha Krishna "Online Feature Subset Selection for Mining Feature Streams in Big Data via Incremental Learning and Evolutionary Computation", Swarm and Evolutionary Computation, Elsevier, Feb. 2025 (Accepted), IF: 8.2
Y. Vivek, V. Ravi, P. Radha Krishna, "Feature Subset Selection for Big Data via Parallel Chaotic Binary Differential Evolution and Feature-level Elitism", Computers and Electrical Engineering, Feb 2025 (Accepted), IF: 4.0.
Y. Vivek, P. S. K. Prasad, V. Madhav, R. Lal, and V. Ravi, “Optimal technical indicator based trading strategies using multi objective optimization,” Computational Economics (2024). https://doi.org/10.1007/s10614-024-10701-6 ( Computational Economics, Springer, SCIE, IF:1.9).
Y. Vivek, V. Ravi, P. N. Suganthan, and P. R. Krishna, “Parallel fractional dominance multi-objective differential evolution for feature subset selection in bigdata,” Volume 91, 2024, 101687, ISSN 2210-6502, https://doi.org/10.1016/j.swevo.2024.101687.( Swarm and Evolutionary Computation, IF: 8.2, SCIE).
A. A. Ram, S. Yadav, Y. Vivek, and V. Ravi, “Deep reinforcement learning for financial forecasting in static and streaming cases,” Journal of Information & Knowledge Management, doi: 10.1142/S0219649224500801, (World Scientific, ESCI, IF: 0.9).
Y. Vivek, V. Ravi, and P. R. Krishna, “Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment,” Cluster Computing, vol. 26, no. 3, pp. 1949–1983, Jun. 2023, issn: 1573-7543. doi: 10.1007/s10586-022-03725-w, (Springer, SCIE, IF: 4.4).
V. Sarveswararao, V. Ravi, and Y. Vivek, “Atm cash demand forecasting in an indian bank with chaos and hybrid deep learning networks,” Expert Systems with Applications, vol. 211, p. 118 645, Jan. 2023, issn: 0957-4174. doi: https://doi.org/10.1016/j.eswa.2022.118645, (Elsevier, SCIE, IF: 8.5).
H. V. Eduru, Y. Vivek, V. Ravi, and O. S. Shankar, “Parallel and streaming wavelet neural networks for classification and regression under apache spark,” Cluster Computing, 2023. doi: 10.1007/s10586-023-04150-3, (Springer, SCIE, IF: 4.4).
K. S. N. V. K. Gangadhar, B. A. Kumar, Y. Vivek, and V. Ravi, “Chaotic variational auto encoder based one class classifier for insurance fraud detection,” 2022. arXiv: 2212.07802 [cs.LG], (Accepted, ICETCI 2025 conference, Scopus)
Y. Vivek, V. Ravi, A. A. Mane, and L. R. Naidu, Atm fraud detection using streaming data analytics, 2024. arXiv: 2303.04946 [cs.LG], (Accepted AGC 2025 conference, Scopus).
P. D. Prasad, Y. Vivek, and V. Ravi, Fedelf: A privacy preserving federated classification using an ensemble extreme learning machines. ( Accepted, AGC 2025 conference, Scopus).
Y. Vivek, V. Ravi, A. A. Mane, and L. R. Naidu, “ Explainable One Class Classification for ATM Fraud Detection” 2024. (Accepted COMSNETS 2025).
Y. Vivek, V. Ravi, A. A. Mane, and L. R. Naidu, “Explainable artificial intelligence and causal inference based atm fraud detection,” 2022. arXiv: 2211.10595[cs.LG], Accepted In IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) 2024;(Core/ERA Rank C).
P. D. Prasad, Y. Vivek, and V. Ravi, “Fedpnn: One-shot federated classification via evolving clustering method and probabilistic neural network hybrid,” 2023. arXiv: 2304.04147[cs.LG], Accepted In IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) 2024;(Core/ERA Rank C).
V. Yelleti, V. Ravi, and P. R. Krishna, “Novelty detection and feedback based online feature subset selection for data streams via parallel hybrid particle swarm optimization algorithm,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, ser. GECCO ’24 Companion, Melbourne, VIC, Australia: Association for Computing Machinery, 2024, pp. 227–230, ISBN: 9798400704956. doi: 10.1145/3638530.3654298, (Core/ERA Rank A; Qualis A1).
V. Yelleti, V. Ravi, and P. Radha Krishna, “Online feature subset selection in streaming features by parallel evolutionary algorithms,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, ser. GECCO ’24 Companion, Melbourne, VIC, Australia: Association for Computing Machinery, 2024, pp. 113–114, isbn: 9798400704956. doi: 10.1145/3638530.3664092, (Core/ERA Rank A; Qualis A1).
C. Priyanka, Y. Vivek, and V. Ravi, “Benchmarking one class classification in fraud detection and other problems in banking financial services and insurance,” 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2024 - accepted, Best paper award, (Springer, Scopus).
V. Yelleti and P. S. V. S. S. Prasad, “Mrmr feature selection to handle high dimensional datasets: Vertical partitioning based iterative mapreduce framework,” in Intelligent Systems Design and Applications, A. Abraham, A. Bajaj, T. Hanne, P. Siarry, and K. Ma, Eds., Cham: Springer Nature Switzerland, 2024, pp. 78–89, isbn: 978-3-031-64847-2, (Core/ERA Rank C, Scopus).
P. D. Prasad, Y. Vivek, and V. Ravi, “Op-fedelm: One-pass privacy-preserving federated classification via evolving clustering method and extreme learning machine hybrid,” in Intelligent Systems Design and Applications, A. Abraham, A. Bajaj, T. Hanne, and T.-P. Hong, Eds., Cham: Springer Nature Switzerland, 2024, pp. 45–57, ( Scopus, Core/ERA Rank C)).
V. Yelleti and P. S. V. S. Sai Prasad, “Stateful mapreduce framework for mrmr feature selection using horizontal partitioning,” in Pattern Recognition and Machine Intelligence, A. Ghosh, I. King, M. Bhattacharyya, S. Sankar Ray, and S. K. Pal, Eds., Cham: Springer International Publishing, 2024, pp. 317–327, (Springer, Scopus).
Y. Vivek,