Journals

1. [2023] Saini, N., Reddy, S., Saha, S., Moreno J.G., & Doucet, A. (2022): Multi-view multi-objective clustering-based framework for scientific document summarization using citation context, Applied Intelligence.  

DOI: https://doi.org/10.1007/s10489-022-04166-z   (IF: 5.01)

2. [2021] D. Bansal, R. Grover, Saini, N., & Saha, S. (2021): GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling, IEEE Transactions on Affective Computing. DOI: https://doi.org/10.1109/TAFFC.2021.3131516  (IF: 10.506)

3. [2021] D. Bansal, Saini, N., S., & Saha, S..: DCBRTS: A Classification-Summarization Approach for Evolving Tweet Streams in Multiobjective Optimization Framework, IEEE Access.  DOI: https://doi.org/10.1109/ACCESS.2021.3120112               (IF: 3.367)

4. [2021] Saini, N., S., Saha, S., Bhattacharyya, P., Mrinal, S. & Mishra, S.: On Multi-modal Microblog Summarization, IEEE Transactions On Computational Social Systems.  DOI: https://doi.org/10.1109/TCSS.2021.3110819                          

5. [2021] Saini, N., Saha, S.: Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications, European Physical Journal Special Topics.   DOI:   10.1140/epjs/s11734-021-00206-w   (IF: 1.668).  

6. [2021] Mishra, S., Saini, N., Saha, S., & Bhattacharyya, P.: Scientific Document Summarization in Multi-objective Clustering Framework, Applied Intelligence pp. 1-24.  DOI: https://doi.org/10.1007/s10489-021-02376-5         (IF: 3.32)  

7. [2021] Saini, N., Saha, S., & Bhattacharyya, P.: Microblog Summarization using Self-adaptive Multi-objective Binary Differential Evolution, Applied Intelligence.     DOI:  https://doi.org/10.1007/s10489-020-02178-1  (IF: 3.32)  

8. [2021] Saini, N., D. Bansal, S., Saha, S., & Bhattacharyya, P.: Multi-objective Multi-view based Search Results Clustering using Differential Evolution Framework, Expert Systems with Applications ,168, p.114299. DOI: https://doi.org/10.1016/j.eswa.2020.114299                (IF: 5.45)

9. [2020] Saini, N., Saha, S., Mansoori, S., & Bhattacharyya, P.: Fusion of self-organizing map and granular self-organizing map for microblog summarization. Soft Computing 24(24), pp.18699-18711. DOI:  https://doi.org/10.1007/s00500-020-05104-2            (IF: 3.14)

10. [2020] Saini, N., Saha, S., Bhattacharyya, P., Tuteja, H.: Textual Entailment based Figure Summarization for Biomedical Articles, ACM Transactions on Multimedia Computing Communications and Applications 16(1s), pp.1-24. DOI: https://doi.org/10.1145/3357334    (IF: 2.25)

11. [2020] Saini, N., Saha, S., Soni, C., Bhattacharyya, P.: Automatic Evolution of Bi-clusters from Microarray Data using Self-Organized Multi-objective Evolutionary Algorithm, Applied Intelligence, 50, 1027-1044. DOI: https://doi.org/10.1007/s10489-019-01554-w (IF: 2.88)

12. [2019] Saini, N., S., Saha, S., & Bhattacharyya, P.: A Multi-objective Based Approach for Microblog Summarization, IEEE Transactions On Computational Social Systems, 6(6), 1219-1231. DOI: https://doi.org/10.1109/TCSS.2019.2945172 

13. [2019] Saini, N., Saha, S., & Bhattacharyya, P.: Automatic Scientific Document Clustering Using Self-organized Multi-objective Differential Evolution. Cognitive Computation, 11(2), 271-293. DOI: https://doi.org/10.1007/s12559-018-9611-8    (IF: 4.87)

14. [2019] Saini, N., Saha, S., Jangra, A., & Bhattacharyya, P.: Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm. Knowledge-Based Systems, 164, 45-67. DOI: https://doi.org/10.1016/j.knosys.2018.10.021     (IF: 5.10)

15. [2019] Saini, N., S., Saha, S., Chakraborty, D., & Bhattacharyya, P.: Extractive single document summarization using binary differential evolution: Optimization of difference sentence quality measures, PLoS ONE 14(11): e0223477.  DOI: https://doi.org/10.1371/journal.pone.0223477 (IF: 2.76, h5 index: 176)

16. [2019] Saini, N., S., Saha, S., Potnuru, V., Grover, R., & Bhattacharyya, P.: Figure-Summarization: A Multi-objective optimization based approach, IEEE Intelligent Systems 34(6), pp.43-52. DOI: https://doi.org/10.1109/MIS.2019.2954400    (IF: 4.64)

17. [2019] Saini, N., Saha, S., Harsh, A., & Bhattacharyya, P.: Sophisticated SOM based genetic operators in multi-objective clustering framework. Applied Intelligence, 49(5), 1803-1822. DOI:  https://doi.org/10.1007/s10489-018-1350-8       (IF: 2.88)

18. [2019] Saini, N., Grover, R., Saha, S. and Bhattacharyya, P.: Scientific Document Clustering using Granular Self-organizing Map. Australian Journal of Intelligent Information Processing Systems  (a special issue of ICONIP 2019), 17(1), pp.62-70.  DOI: http://ajiips.com.au/papers/V17.1/v17n1_66-74.pdf

Conferences

1. [2024]  Singh, A., Saini, N. & Tiwari, S., (2024, Aug). Unraveling COVID-19 Vaccine Hesitancy: A Multi-Label Classification Approach Using Nested LSTM.  In Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024).  (In Press) 

2. [2024]  Verma, C., Saini, N. & Shukla, S., (2024, Aug). Harmonizing Data: Multilingual, Multistep Deep Learning Approach for Classifying Audio Content into Songs, Podcasts (Talk), and Advertisement. In Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024).  (In Press) 

3. [2024]  Bangde, Y. & Saini, N., (2024, Aug). Multi-view Ensemble Clustering-based Podcast Recommendation in Indian Regional Setting. In Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024)  DOI: https://doi.org/10.1007/978-3-031-78107-0_12   

4. [2024]  Goswami, S., Saini, N., & Shukla, S. (2024, June). Incorporating Domain Knowledge in Multi-objective Optimization Framework For Automating Indian Legal Case Summarization. In Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024)   DOI: https://doi.org/10.1007/978-3-031-78495-8_17  

5. [2024]  Parmar, J., Saini, N., & Dey, D. (2024, March). An Unsupervised Evolutionary Approach for Indian Regional Language Summarization. In Proceedings of the The IEEE World Congress on Computational Intelligence (IEEE WCCI 2024). DOI: https://doi.org/10.1109/CEC60901.2024.10612059     

6. [2023]  Kumar, R., Chakraborty, R., Tiwari, A., Saha, S., & Saini, N. (2023, October). Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) (pp. 1117-1126). DOI: https://doi.org/10.1145/3583780.3614849

7. [2023] Roha, V.S., Saini, N., Saha, S. and Moreno J.G..: MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization. In European Conference on Information Retrieval 2023 (ECIR). 

DOI: https://doi.org/10.1007/978-3-031-28238-6_49

8. [2022] Roha, V.S., Saini, N., Saha, S. and Moreno J.G..: Unsupervised Comment-based Multi-document Extractive Summarization. In Genetic and Evolutionary Computation Conference (GECCO 2022).  DOI: https://doi.org/10.1145/3512290.3528691     . 

9. [2021] Shastri, A., Saini, N., Saha, S. and Mishra, S.: MEABRS: A Multi-objective Evolutionary Framework for Software Bug Report Summarization. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021)  (pp. 2006-2011).  DOI:  https://doi.org/10.1109/SMC52423.2021.9659165 

10. [2021] Mishra, S.,  Saini, N., Saha, S., & Bhattacharyya, P.: Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context. In 2021 International Conference on Natural Language & Information Systems (NLDB). vol 12801. Springer, Cham. DOI:  https://doi.org/10.1007/978-3-030-80599-9_29 

11. [2021] Saini, N., Kumar, S., S., Saha, S., & Bhattacharyya, P.: Scientific Document Summarization using Citation Context and Multi-objective Optimization. In International Conference on Pattern Recognition (ICPR 2020). IEEE. (Core ranking: B, h5 index: 35).   DOI: https://doi.org/10.1109/ICPR48806.2021.9412201 

12. [2020] Saini, N., Kumar, S., S., Saha, S., & Bhattacharyya, P.: Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. In International Conference on Evolutionary Computation (CEC 2020) (pp. 1-8). IEEE. (Core ranking: B, h5 index: 70). DOI: https://doi.org/10.1109/CEC48606.2020.9185507              

13. [2018] Saini, N., Saha, S., & Bhattacharyya, P.: Cascaded SOM: An improved technique for automatic email classification. In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (pp. 1-8). IEEE. (Core ranking: A)    DOI: https://doi.org/10.1109/IJCNN.2018.8489584

14. [2020] Saini, N., Saha, S., Mansoori, S., & Bhattacharyya, P.: Automatic Parameter Selection of Granular Self-organizing Map for Microblog Summarization. In International Conference on Neural Information Processing (ICONIP 2020) (pp. 672-682). Springer, Cham. (Core ranking: A).    DOI:  https://doi.org/10.1007/978-3-030-63830-6_57

15. [2019] Saini, N., S., Saha, S., Bhattacharyya, P.: Incorporation of Neighborhood Concept in Enhancing SOM based  Multi-label Classification. In International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019) (pp. 91-99). Springer.   DOI: https://doi.org/10.1007/978-3-030-34869-4_11

16. [2019] Saini, N., S., Saha, S., Kumar, A., & Bhattacharyya, P.: Multi-document Summarization using Adaptive Composite Differential Evolution. In International Conference on Neural Information Processing (ICONIP 2019) (pp. 670-678). Springer. (Core ranking: A).  DOI: https://doi.org/10.1007/978-3-030-36802-9_71

17. [2017] Saini, N., Chourasia, S., Saha, S., & Bhattacharyya, P.: A self-organizing map based multi-objective framework for automatic evolution of clusters. In International Conference on Neural Information Processing (ICONIP 2017) (pp. 672-682). Springer, Cham. (Core ranking: A). DOI: https://doi.org/10.1007/978-3-319-70136-3_71

Workshop Proceedings:

1. [2023] Nafis, N., Kanojia, D., Saini, N., and Murthy , R.:  Towards Safer Communities: Detecting Aggression and Offensive     Language in Code-Mixed Tweets to Combat Cyberbullying. In The 7th Workshop on Online Abuse and Harms (WOAH), pages 29–41, Toronto, Canada. Association for Computational Linguistics 2023    (Core Rank: A*) 

DOI: https://doi.org/10.18653/v1/2023.woah-1.3

2. [2021] Reddy, S.M. and Saini, N.:  Overview and insights from scope detection of the peer review articles shared tasks 2021. In Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops Proceedings 25 (pp. 73-78). Springer International Publishing.

3. [2020] Reddy, S., Saini, N., Saha, S., & Bhattacharyya, P.: IIITBH-IITP@ CL-SciSumm20, CL-LaySumm20, LongSumm20. In Proceedings of the First Workshop on Scholarly Document Processing (pp. 242-250). DOI:  https://doi.org/10.18653/v1/P17

4. [2020] Mishra, S. K., Kundarapu, H., Saini, N., Saha, S., & Bhattacharyya, P.: IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020. In Proceedings of the First Workshop on Scholarly Document Processing (pp. 270-276).     DOI:  https://doi.org/10.18653/v1/P17

Book:

Hopefully, one day it will be published.....