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ORCIDNaresh Kumar Nagwani
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2020 – today
- 2025
[j47]Rahul Shrivastava
, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Preference-based crossover technique for optimizing conflicting objectives in multi-stakeholders recommendation systems. Inf. Sci. 700: 121820 (2025)- 2024
- [j46]Rama Ranjan Panda, Naresh Kumar Nagwani:
Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure. Appl. Soft Comput. 150: 111048 (2024) - [j45]Rama Ranjan Panda, Naresh Kumar Nagwani:
Multi-label classification and fuzzy similarity-based expert identification techniques for software bug assignment. Int. J. Comput. Sci. Eng. 27(6): 734-748 (2024) - [j44]Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding. Inf. Process. Manag. 61(6): 103862 (2024) - [j43]Rama Ranjan Panda, Naresh Kumar Nagwani:
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning. Knowl. Inf. Syst. 66(3): 2135-2164 (2024) - [j42]Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms. Knowl. Inf. Syst. 66(12): 7799-7836 (2024) - [j41]Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani:
Query based biomedical document retrieval for clinical information access with the semantic similarity. Multim. Tools Appl. 83(18): 55305-55317 (2024) - [j40]Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh:
A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets. Multim. Tools Appl. 83(19): 57829-57859 (2024) - [j39]Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani:
Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature. Multim. Tools Appl. 83(31): 76429-76446 (2024) - [j38]Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani:
Correction to: Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature. Multim. Tools Appl. 83(31): 76447 (2024) - 2023
- [j37]Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh:
Impact of word embedding models on text analytics in deep learning environment: a review. Artif. Intell. Rev. 56(9): 10345-10425 (2023) - [j36]Ravindra Kumar Chouhan, Mithilesh Atulkar, Naresh Kumar Nagwani:
A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification. Appl. Intell. 53(4): 4268-4288 (2023) - [j35]Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani:
Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity. Comput. Syst. Sci. Eng. 45(3): 2333-2349 (2023) - [j34]Rama Ranjan Panda, Naresh Kumar Nagwani:
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes. Eng. Appl. Artif. Intell. 122: 106110 (2023) - [j33]Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning. Expert Syst. Appl. 213(Part): 119071 (2023) - [j32]Kamlesh Lakhwani, Gajanand Sharma, Ramandeep Sandhu, Naresh Kumar Nagwani, Sandeep Bhargava, Varsha Arya, Ammar Almomani:
Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment. Int. J. Cloud Appl. Comput. 13(1): 1-25 (2023) - [j31]Naresh Kumar Nagwani, Jasjit S. Suri:
An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review. Int. J. Inf. Manag. Data Insights 3(1): 100153 (2023) - [j30]Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi:
A hybrid approach for predicting missing follower-followee links in social networks using topological features with ensemble learning. Data Technol. Appl. 57(1): 131-153 (2023) - [j29]Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi:
CommunityGCN: community detection using node classification with graph convolution network. Data Technol. Appl. 57(4): 580-604 (2023) - [j28]Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani:
Frequent item-set mining and clustering based ranked biomedical text summarization. J. Supercomput. 79(1): 139-159 (2023) - [c8]Rama Ranjan Panda, Naresh Kumar Nagwani:
Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging. OCIT 2023: 120-125 - [c7]Ravindra Kumar Chouhan, Mithilesh Atulkar, Naresh Kumar Nagwani:
A Centralized LGBM based Attack Detection and Mitigation Approach for Software Defined Networks. ICCCNT 2023: 1-7 - 2022
- [j27]Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature. Expert Syst. Appl. 205: 117760 (2022) - [j26]Rama Ranjan Panda, Naresh Kumar Nagwani:
Classification and intuitionistic fuzzy set based software bug triaging techniques. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 6303-6323 (2022) - [j25]Rama Ranjan Panda, Naresh Kumar Nagwani:
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging. Knowl. Inf. Syst. 64(11): 3081-3111 (2022) - [j24]Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features. Neural Comput. Appl. 34(6): 4831-4841 (2022) - [j23]Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani, Upendra Roy BP:
An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations. Pattern Recognit. Lett. 159: 91-99 (2022) - [j22]Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh:
Exploring the effectiveness of word embedding based deep learning model for improving email classification. Data Technol. Appl. 56(4): 483-505 (2022) - [j21]Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Utility optimization-based multi-stakeholder personalized recommendation system. Data Technol. Appl. 56(5): 782-805 (2022) - [j20]Rama Ranjan Panda, Naresh Kumar Nagwani:
IPSFS: Intuitionistic, pythagorean, and spherical fuzzy similarity computation package in R. Softw. Impacts 14: 100424 (2022) - 2021
- [j19]Rama Ranjan Panda, Naresh Kumar Nagwani:
Multi-label software bug categorisation based on fuzzy similarity. Int. J. Comput. Sci. Eng. 24(3): 244-258 (2021) - [j18]Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi:
A Comparative Study of Graph Kernels and Clustering Algorithms. Int. J. Multim. Data Eng. Manag. 12(1): 33-48 (2021) - [j17]Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani:
Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences. Medical Biol. Eng. Comput. 59(11): 2297-2310 (2021) - 2020
- [j16]Mridu Sahu, Shrish Verma, Naresh Kumar Nagwani, Sneha Shukla:
EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients. Int. J. Medical Eng. Informatics 12(4): 375-400 (2020) - [j15]Aakanksha Sharaff, Naresh Kumar Nagwani:
ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering. Int. J. Web Based Learn. Teach. Technol. 15(2): 19-33 (2020) - [c6]Abhishek Dutta, Abhisek Nayak, Aditya, Rama Ranjan Panda, Naresh Kumar Nagwani:
A Neuro Fuzzy System Based Inflation Prediction of Agricultural Commodities. ICCCNT 2020: 1-6
2010 – 2019
- 2019
- [j14]Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey:
Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site. Int. J. Inf. Secur. Priv. 13(3): 48-59 (2019) - [j13]Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey:
A user ranking algorithm for efficient information management of community sites using spectral clustering and folksonomy. J. Inf. Sci. 45(5) (2019) - [c5]Tirath Prasad Sahu, Reswanth Sai Thummalapudi, Naresh Kumar Nagwani:
Automatic Question Tagging Using Multi-label Classification in Community Question Answering Sites. CSCloud/EdgeCom 2019: 63-68 - 2018
- [j12]Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey:
RANKuser: A folksonomy and user profile based algorithm to identify experts in Community Question Answering sites. Data Technol. Appl. 52(3): 329-350 (2018) - [c4]Samrudhi Mohdiwale, Tirath Prasad Sahu, Rahul Kumar Chaurasia, Naresh Kumar Nagwani, Shrish Verma:
Detection and Classification of Noise Using Bark Domain Features. ICCBN 2018: 18-21 - 2017
- [j11]Naresh Kumar Nagwani:
A bi-level text classification approach for sms spam filtering and identifying priority messages. Int. Arab J. Inf. Technol. 14(4): 473-480 (2017) - [j10]Aakanksha Sharaff, Naresh Kumar Nagwani:
Effect of N-Grams Technique in Preprocessing of Email Spam Filtering. Int. J. Appl. Evol. Comput. 8(1): 26-37 (2017) - [j9]Naresh Kumar Nagwani, Aakanksha Sharaff:
SMS spam filtering and thread identification using bi-level text classification and clustering techniques. J. Inf. Sci. 43(1): 75-87 (2017) - [c3]Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey:
TAGme: A Topical Folksonomy Based Collaborative Filtering for Tag Recommendation in Community Sites. MISNC 2017: 27:1-27:7 - 2016
- [j8]Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma:
Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites. IEEE Access 4: 4797-4808 (2016) - [j7]Abhishek K. Singh, Debasish Sena, Naresh Kumar Nagwani, Sudhakar Pandey:
Folksonomy Based Trend Analysis on Community Question Answering Sites: A Perspective on Software Technologies. IEEE Access 4: 5223-5233 (2016) - [j6]Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma:
Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites. IEEE Access 4: 5343-5355 (2016) - [j5]Naresh Kumar Nagwani, Shrish Verma:
Generating Intelligent Summary Terms for Improving Knowledge Discovery in Software Bug Repositories. Int. J. Softw. Eng. Knowl. Eng. 26(5): 827-844 (2016) - [j4]Aakanksha Sharaff, Naresh Kumar Nagwani:
Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques. J. Inf. Sci. 42(2): 200-212 (2016) - [c2]Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma:
Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites. COMPUTE 2016: 129-132 - 2015
- [j3]Naresh Kumar Nagwani:
Summarizing large text collection using topic modeling and clustering based on MapReduce framework. J. Big Data 2: 6 (2015) - [j2]Naresh Kumar Nagwani:
A Comment on "A Similarity Measure for Text Classification and Clustering". IEEE Trans. Knowl. Data Eng. 27(9): 2589-2590 (2015) - 2014
- [j1]Naresh Kumar Nagwani, Shrish Verma:
A Comparative Study of Bug Classification Algorithms. Int. J. Softw. Eng. Knowl. Eng. 24(1): 111-138 (2014) - [i4]Sanjay Chakraborty, Naresh Kumar Nagwani:
Performance Evaluation of Incremental K-means Clustering Algorithm. CoRR abs/1406.4737 (2014) - [i3]Sanjay Chakraborty, Naresh Kumar Nagwani, Lopamudra Dey:
Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms. CoRR abs/1406.4751 (2014) - [i2]Sanjay Chakraborty, Naresh Kumar Nagwani:
Analysis and Study of Incremental DBSCAN Clustering Algorithm. CoRR abs/1406.4754 (2014) - [i1]Sanjay Chakraborty, Naresh Kumar Nagwani, Lopamudra Dey:
Weather Forecasting using Incremental K-means Clustering. CoRR abs/1406.4756 (2014) - 2011
- [c1]Neeraj Kumar Sharma, Naresh Kumar Nagwani:
Study and Analysis of Incremental Apriori Algorithm. HPAGC 2011: 470-472
Coauthor Index
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