V. Vijaya Saradhi

According to our database, V. Vijaya Saradhi authored at least 33 papers between 2001 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Correction: Graph pre-processing method for fairness in spectral clustering.

Adithya K. Moorthy, V. Vijaya Saradhi, Bhanu Prasad

Data Min. Knowl. Discov., June, 2026

Ent-BAM: A Generative Framework for Biomedical Argument Mining Enriched With Entity Information.

Nilmadhab Das, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand

IEEE Trans. Artif. Intell., April, 2026

Graph pre-processing method for fairness in spectral clustering.

Adithya K. Moorthy, V. Vijaya Saradhi, Bhanu Prasad

Data Min. Knowl. Discov., April, 2026

2025

Incorporating Fairness in Neighborhood Graphs for Fair Spectral Clustering.

Adithya K. Moorthy, V. Vijaya Saradhi, Bhanu Prasad

CoRR, December, 2025

Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering.

Adithya K. Moorthy, Jaya Teja Reddy Pochimireddy, V. Vijaya Saradhi, Bhanu Prasad

ACM Trans. Knowl. Discov. Data, November, 2025

Ensuring Fairness in Spectral Clustering via Disparate Impact-Based Graph Construction.

Adithya K. Moorthy, V. Vijaya Saradhi, Bhanu Prasad

IEEE Trans. Artif. Intell., August, 2025

Harnessing multi-resolution and multi-scale attention for underwater image restoration.

Alik Pramanick, Arijit Sur, V. Vijaya Saradhi

Vis. Comput., 2025

Fairness in constrained spectral clustering.

Laxita Agrawal, V. Vijaya Saradhi, Teena Sharma

Neurocomputing, 2025

On the Role of Key Phrases in Argument Mining.

Nilmadhab Das, V. Vijaya Saradhi, Ashish Anand

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction.

Nilmadhab Das, Vishal Vaibhav, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand

Proceedings of the International Joint Conference on Neural Networks, 2025

Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language.

Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand

Proceedings of the International Joint Conference on Neural Networks, 2025

Equitable Representation of Demographic Groups in Constrained Spectral Clustering.

Laxita Agrawal, V. Vijaya Saradhi, Teena Sharma

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

HALO-GPT: Hindi Active Learning with Oracle GPT-3.5.

Ajanta Maurya, V. Vijaya Saradhi, Ashish Anand

Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, 2025

Labeling Function Generation for NER Task: Limitation of LLMs.

Ajanta Maurya, Jay Khinchi, V. Vijaya Saradhi, Ashish Anand

Proceedings of the 13th ACM IKDD International Conference on Data Science, 2025

2024

End-to-End Argument Mining as Augmented Natural Language Generation.

Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand

CoRR, 2024

2023

View incremental decremental multi-view discriminant analysis.

Saroj S. Shivagunde, V. Vijaya Saradhi

Appl. Intell., June, 2023

2022

2D Multi-view Discriminant Analysis.

Saroj S. Shivagunde, V. Vijaya Saradhi

Inf. Sci., 2022

2021

Multi-view Incremental Discriminant Analysis.

Saroj S. Shivagunde, Ashwani Nadapana, V. Vijaya Saradhi

Inf. Fusion, 2021

Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining.

Swarup Ranjan Behera, V. Vijaya Saradhi

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2018

Scalability of correlation clustering.

Mamata Samal, V. Vijaya Saradhi, Sukumar Nandi

Pattern Anal. Appl., 2018

Fixation-indices based correlation between text and image visual features of webpages.

Sandeep Vidyapu, V. Vijaya Saradhi, Samit Bhattacharya

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018

2017

From Multimodal to Unimodal Webpages for Developing Countries.

Sandeep Vidyapu, V. Vijaya Saradhi, Samit Bhattacharya

CoRR, 2017

2016

Incremental maximum margin clustering.

V. Vijaya Saradhi, P. Charly Abraham

Pattern Anal. Appl., 2016

2015

Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis.

V. Vijaya Saradhi, K. R. Girish

Neural Process. Lett., 2015

2014

Scalability of Correlation Clustering Through Constraint Reduction.

Mamata Samal, V. Vijaya Saradhi, Sukumar Nandi

Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

2011

Employee churn prediction.

V. Vijaya Saradhi, Girish Keshav Palshikar

Expert Syst. Appl., 2011

2008

On the stability and bias-variance analysis of sparse SVMs.

V. Vijaya Saradhi, Harish Karnick

Neurocomputing, 2008

Topic Distillation using Support Vector Data Description.

V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra

Proceedings of the 14th International Conference on Management of Data, 2008

2007

Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning.

V. Vijaya Saradhi, Harish Karnick

Proceedings of the Computational and Ambient Intelligence, 2007

Error Estimation for Kernel Matrix Learning Through Leave-One-Out-Kernel Bootstrap.

V. Vijaya Saradhi, Harish Karnick

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Kernel-based online machine learning and support vector reduction.

Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

On the Stability and Bias-Variance Analysis of Kernel Matrix Learning.

V. Vijaya Saradhi, Harish Karnick

Proceedings of the Advances in Artificial Intelligence, 2007

2001

Bootstrapping for efficient handwritten digit recognition.

V. Vijaya Saradhi, M. Narasimha Murty

Pattern Recognit., 2001