GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. - Sandeep Kumar Sahu; Arun K. Pujari; Venkateswara Rao Kagita; Vikas Kumar 003; Vineet Padmanabhan (ICIT, 2015)

Greedy partitioning based tree structured multiclass SVM for Odia OCR. - Sandeep Kumar Sahu; Arun K. Pujari; Vikas Kumar 003; Venkateswara Rao Kagita; Vineet Padmanabhan (NCVPRIPG, 2015)

Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003; Sandeep Kumar Sahu (PRICAI, 2016)

Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization. - K. H. Salman; Arun K. Pujari; Vikas Kumar 003; Sowmini Devi Veeramachaneni (PRICAI, 2016)

Conformal recommender system. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Sandeep Kumar Sahu; Vikas Kumar 003 (Inf. Sci., 2017)

Collaborative filtering using multiple binary maximum margin matrix factorizations. - Vikas Kumar 003; Arun K. Pujari; Sandeep Kumar Sahu; Venkateswara Rao Kagita; Vineet Padmanabhan (Inf. Sci., 2017)

Proximal maximum margin matrix factorization for collaborative filtering. - Vikas Kumar 003; Arun K. Pujari; Sandeep Kumar Sahu; Venkateswara Rao Kagita; Vineet Padmanabhan (Pattern Recognit. Lett., 2017)

Multi-label classification using hierarchical embedding. - Vikas Kumar 003; Arun K. Pujari; Vineet Padmanabhan; Sandeep Kumar Sahu; Venkateswara Rao Kagita (Expert Syst. Appl., 2018)

A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation. - Sowmini Devi Veeramachaneni; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (Appl. Soft Comput., 2019)

Committee Selection with Attribute Level Preferences. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (CoRR, 2019)

Block based Singular Value Decomposition approach to matrix factorization for recommender systems. - Prasad Bhavana; Vikas Kumar 003; Vineet Padmanabhan (CoRR, 2019)

Group preserving label embedding for multi-label classification. - Vikas Kumar 003; Arun K. Pujari; Vineet Padmanabhan; Venkateswara Rao Kagita (Pattern Recognit., 2019)

Skyline recommendation with uncertain preferences. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (Pattern Recognit. Lett., 2019)

Committee Selection using Attribute Approvals. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Haris Aziz 001; Vikas Kumar 003 (AAMAS, 2021)

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. - Sowmini Devi Veeramachaneni; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (CoRR, 2021)

Independent Component Analysis: A Review, with Emphasis on Commonly used Algorithms and Contrast Function. - Rasmikanta Pati; Arun K. Pujari; Padmavati Gahan; Vikas Kumar 003 (Computación y Sistemas, 2021)

Efficient Computation of Top-K Skyline Objects in Data Set With Uncertain Preferences. - Nitesh Sukhwani; Venkateswara Rao Kagita; Vikas Kumar 003; Sanjaya Kumar Panda (Int. J. Data Warehous. Min., 2021)

MERIT: Multi-Itinerary Tourist Recommendation Engine for Industrial Internet of Things. - Abhishek Majumder; Joy Lal Sarkar; Bibudhendu Pati; Chhabi Rani Panigrahi; V. Ramasamy; Sudipta Roy 001; Vikas Kumar 003 (INFOCOM Workshops, 2022)

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. - Sowmini Devi Veeramachaneni; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (CoRR, 2022)

A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data. - Sowmini Devi Veeramachaneni; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (Inf. Syst., 2022)

Inductive conformal recommender system. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan; Vikas Kumar 003 (Knowl. Based Syst., 2022)

I Want This, Not That: Personalized Summarization of Scientific Scholarly Texts. - Vasudha Bhatnagar; Alka Khurana; Vikas Kumar 003 (CoRR, 2023)

Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization. - Shamal Shaikh; Venkateswara Rao Kagita; Vikas Kumar 003; Arun K. Pujari (CoRR, 2023)

Cross-domain Recommender Systems via Multimodal Domain Adaptation. - Ramya Kamani; Vikas Kumar 003; Venkateswara Rao Kagita (CoRR, 2023)

Conformal Group Recommender System. - Venkateswara Rao Kagita; Anshuman Singh; Vikas Kumar 003; Pavan Kalyan Reddy Neerudu; Arun K. Pujari; Rohit Kumar Bondugula (CoRR, 2023)

gCDR: A Group Aided Cross-Domain Recommendation Framework. - Adamya Shyam; Kavita Kanwar; Vikas Kumar 003; Venkateswara Rao Kagita (BDA, 2024)

Deep dive into language traits of AI-generated Abstracts. - Vikas Kumar 003; Amisha Bharti; Devanshu Verma; Vasudha Bhatnagar (COMAD/CODS, 2024)

InLegalLLaMA: Indian Legal Knowledge Enhanced Large Language Model. - Sudipto Ghosh 003; Devanshu Verma; Balaji Ganesan; Purnima Bindal; Vikas Kumar 003; Vasudha Bhatnagar (LKM@IJCAI, 2024)

Infusing Knowledge into Large Language Models with Contextual Prompts. - Kinshuk Vasisht; Balaji Ganesan; Vikas Kumar 003; Vasudha Bhatnagar (CoRR, 2024)

Human Centered AI for Indian Legal Text Analytics. - Sudipto Ghosh 003; Devanshu Verma; Balaji Ganesan; Purnima Bindal; Vikas Kumar 003; Vasudha Bhatnagar (CoRR, 2024)

Citation-Based Summarization of Landmark Judgments. - Purnima Bindal; Vikas Kumar 003; Vasudha Bhatnagar; Parikshet Sirohi; Ashwini Siwal (CoRR, 2024)

UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations. - Adamya Shyam; Vikas Kumar 003; Venkateswara Rao Kagita; Arun K. Pujari (Knowl. Based Syst., 2024)

Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization. - Shamal Shaikh; Venkateswara Rao Kagita; Vikas Kumar 003; Arun K. Pujari (Expert Syst. Appl., 2024)

Cross-domain recommender systems via multimodal domain adaptation. - Adamya Shyam; Ramya Kamani; Venkateswara Rao Kagita; Vikas Kumar 003 (Comput. Electr. Eng., 2025)

Personalized summarization of scientific scholarly texts. - Alka Khurana; Vasudha Bhatnagar; Vikas Kumar 003 (Expert Syst. Appl., 2025)

Geometric Preference Elicitation for Minimax Regret Optimization in Uncertainty Matroids. - Aditya Sai Ellendula; Arun K. Pujari; Vikas Kumar 003; Venkateswara Rao Kagita (CoRR, 2025)