A convex polytope of diameter one. - Arun K. Pujari; Ashok K. Mittal; S. K. Gupta (Discret. Appl. Math., 1983)

Architecture of an expert database management system. - Arun K. Pujari; S. L. Mehndiratta (RIAO, 1985)

Separability of unimodal polygons. - Arun K. Pujari (Pattern Recognit. Lett., 1988)

Linear octrees by volume intersection. - B. Lavakusha; Arun K. Pujari; P. G. Reddy (Comput. Vis. Graph. Image Process., 1989)

Off-line Shorthand Recognition System. - R. Ethindra Kumar; Arun Agarwal; Arun K. Pujari (MVA, 1990)

Polygonal representation by edge k-d trees. - B. Lavakusha; Arun K. Pujari; P. G. Reddy (Pattern Recognit. Lett., 1990)

Linear octree of a 3D object from 2D silhouettes using segment tree. - Anita G. Pai; H. Usha; Arun K. Pujari (Pattern Recognit. Lett., 1990)

Static scene analysis using structured light. - Deepak Bhatnagar; Arun K. Pujari; P. Seetharamulu (Image Vis. Comput., 1991)

Volume intersection with optimal set of directions. - K. Shanmukh; Arun K. Pujari (Pattern Recognit. Lett., 1991)

Linear octree by volume intersection using perspective silhouettes. - V. B. Nitya; N. Sridevi; Arun K. Pujari (Pattern Recognit. Lett., 1992)

Efficient Algorithm to Sort Linear Combinations of Arrays. - Arun K. Pujari (FSTTCS, 1993)

Recognition of telugu characters using neural networks. - M. B. Sukhaswami; P. Seetharamulu; Arun K. Pujari (Int. J. Neural Syst., 1995)

Restoration of geometrically aberrated images using a self-organising neural network. - M. B. Sukhaswami; Arun K. Pujari (Pattern Recognit. Lett., 1996)

A New Neural Network Architecture for Efficient Close Proximity Match of Large Databases. - M. Sreenivasa Rao; Arun K. Pujari; Bala Srinivasan 001 (DEXA Workshop, 1997)

Computation of Prime Implicants Using Matrix and Paths. - A. K. Shiny; Arun K. Pujari (J. Log. Comput., 1998)

INDU: An Interval and Duration Network. - Arun K. Pujari; G. Vijaya Kumari; Abdul Sattar 001 (Australian Joint Conference on Artificial Intelligence, 1999)

A New Framework for Reasoning about Points, Intervals and Durations. - Arun K. Pujari; Abdul Sattar 001 (IJCAI, 1999)

A New Neural Network Architecture with Associative Memory, Pruning and Order-Sensitive Learning. - M. Sreenivasa Rao; Arun K. Pujari (Int. J. Neural Syst., 1999)

An Efficient Algorithm to Generate Prime Implicants. - A. K. Shiny; Arun K. Pujari (J. Autom. Reason., 1999)

Temporal Reasoning: A Three Way Analysis. - Vineet Padmanabhan; Abdul Sattar 001; Arun K. Pujari; Chinmoy Goswami (TIME, 2000)

An Adaptive Character Recognizer for Telugu Scripts Using Multiresolution Analysis, Associative Memory. - Arun K. Pujari; Challa Dhanunjaya Naidu; B. C. Jinaga (ICVGIP, 2002)

A Balanced Multicast Overlay Protocol - Appcast. - V. Radha 001; Ved Prakash Gulati; Arun K. Pujari (AINA (2), 2004)

Bitplane Based Area Morphology for CBIR. - K. Kiran Kumar; Chakravarthy Bhagvati; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (ICVGIP, 2004)

Content Based Retrieval of Emotions in Face Images. - J. Nileema; Priti Chandra; Chakravarthy Bhagvati; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (ICVGIP, 2004)

Efficient Multicast E-Services Over APPCAST. - V. Radha 001; Ved Prakash Gulati; Arun K. Pujari (ITCC (2), 2004)

On Gossip Codes and Traceability Schemes. - Ravi Sankar Veerubhotla; Ashutosh Saxena; Ved Prakash Gulati; Arun K. Pujari (ITCC (1), 2004)

A Novel Heuristic to Solve IA Network by Convex Approximation and Weights. - Arun K. Pujari; T. Adilakshmi (PRICAI, 2004)

EvIA - Evidential Interval Algebra and Heuristic Backtrack-Free Algorithm. - S. Durga Bhavani; Arun K. Pujari (Constraints An Int. J., 2004)

On the Use of Singular Value Decomposition for a Fast Intrusion Detection System. - Sanjay Rawat 001; Arun K. Pujari; Ved Prakash Gulati (VODCA@FOSAD, 2004)

Frequency- and ordering-based similarity measure for host-based intrusion detection. - Sanjay Rawat 001; Ved Prakash Gulati; Arun K. Pujari (Inf. Manag. Comput. Secur., 2004)

An intelligent character recognizer for Telugu scripts using multiresolution analysis and associative memory. - Arun K. Pujari; Challa Dhanunjaya Naidu; M. Sreenivasa Rao; B. C. Jinaga (Image Vis. Comput., 2004)

A wavelet based multiresolution algorithm for rotation invariant feature extraction. - Challa S. Sastry; Arun K. Pujari; Bulusu Lakshmana Deekshatulu; Chakravarthy Bhagvati (Pattern Recognit. Lett., 2004)

Continuous Call Double Auctions with Indivisibility Constraints. - A. R. Dani; Arun K. Pujari; Ved Prakash Gulati (EEE, 2005)

Auction Based System for Electronic Commerce Transaction. - A. R. Dani; Ved Prakash Gulati; Arun K. Pujari (ICEIS (4), 2005)

Design of Continuous Call Market with Assignment Constraints. - A. R. Dani; Ved Prakash Gulati; Arun K. Pujari (ICEIS (4), 2005)

Episode Based Masquerade Detection. - Subrat Kumar Dash; Krupa Sagar Reddy; Arun K. Pujari (ICISS, 2005)

Minimality and Convexity Properties in Spatial CSPs. - Priti Chandra; Arun K. Pujari (ICTAI, 2005)

Texture element feature characterizations for CBIR. - K. Jalaja; Chakravarthy Bhagvati; Bulusu Lakshmana Deekshatulu; Arun K. Pujari (IGARSS, 2005)

Appcast: a low stress and high stretch overlay protocol. - V. Radha 001; Ved Prakash Gulati; Arun K. Pujari (Int. J. Grid Util. Comput., 2005)

Gossip Codes for Fingerprinting: Construction, Erasure Analysis and Pirate Tracing. - Ravi Sankar Veerubhotla; Ashutosh Saxena; Ved Prakash Gulati; Arun K. Pujari (J. Univers. Comput. Sci., 2005)

QROCK: A quick version of the ROCK algorithm for clustering of categorical data. - Mala Dutta; Anjana Kakoti Mahanta; Arun K. Pujari (Pattern Recognit. Lett., 2005)

A Fast Host-Based Intrusion Detection System Using Rough Set Theory. - Sanjay Rawat 001; Ved Prakash Gulati; Arun K. Pujari (Trans. Rough Sets, 2005)

New Malicious Code Detection Using Variable Length n-grams. - Krishna Sandeep Reddy Dubba; Subrat Kumar Dash; Arun K. Pujari (ICISS, 2006)

Content Based Image Retrieval Using Region Labelling. - J. Naveen Kumar Reddy; Chakravarthy Bhagvati; Raju S. Bapi; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (ICVGIP, 2006)

Multi Unit Auctions with Constraints in Financial Domain. - A. R. Dani; Arun K. Pujari; Ved Prakash Gulati (CEC/EEE, 2006)

A Fourier-Radial Descriptor Algorithm for Invariant Feature Extraction. - Challa S. Sastry; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (Int. J. Wavelets Multiresolution Inf. Process., 2006)

N-gram analysis for computer virus detection. - Krishna Sandeep Reddy Dubba; Arun K. Pujari (J. Comput. Virol., 2006)

Use of Dimensionality Reduction for Intrusion Detection. - Subrat Kumar Dash; Sanjay Rawat 001; Arun K. Pujari (ICISS, 2007)

Strategy Proof Electronic Markets. - A. R. Dani; Arun K. Pujari; Ved Prakash Gulati (IICAI, 2007)

A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. - Chaithanya Pichuka; Raju S. Bapi; Chakravarthy Bhagvati; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (IJCAI, 2007)

Intrusion detection using text processing techniques with a kernel based similarity measure. - Alok Sharma; Arun K. Pujari; Kuldip K. Paliwal (Comput. Secur., 2007)

Network traffic analysis using singular value decomposition and multiscale transforms. - Challa S. Sastry; Sanjay Rawat 001; Arun K. Pujari; Ved Prakash Gulati (Inf. Sci., 2007)

A modified Gabor function for content based image retrieval. - Challa S. Sastry; M. Ravindranath; Arun K. Pujari; Bulusu Lakshmana Deekshatulu (Pattern Recognit. Lett., 2007)

Opportunistic Consensus Clustering. - Arko Banerjee; Arun K. Pujari (DMIN, 2009)

Q-Coverage Problem in Wireless Sensor Networks. - Manju Chaudhary; Arun K. Pujari (ICDCN, 2009)

Heuristics for Minimizing Interference in Sensor Networks. - Amit K. Sharma; Nikunj Thakral; Siba K. Udgata; Arun K. Pujari (ICDCN, 2009)

A new clusterwise similarity for partitions based on quantitative disagreement. - P. Rajasekhara; Arun K. Pujari (ICVGIP, 2010)

High-Energy-First (HEF) Heuristic for Energy-Efficient Target Coverage Problem - Manju Chaudhary; Arun K. Pujari (CoRR, 2011)

Adaptive Naive Bayes method for masquerade detection. - Subrat Kumar Dash; Krupa Sagar Reddy; Arun K. Pujari (Secur. Commun. Networks, 2011)

Time Series Quanslet: A Novel Primitive for Image Classification. - Tusar Kanti Mishra; Arun K. Pujari (IC3, 2012)

Clustering Short-Text Using Non-negative Matrix Factorization of Hadamard Product of Similarities. - Krutika Verma; Mukesh K. Jadon; Arun K. Pujari (AIRS, 2013)

Group Recommender Systems: A Virtual User Approach Based on Precedence Mining. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan (Australasian Conference on Artificial Intelligence, 2013)

Directional Decomposition for Odia Character Recognition. - Chandana Mitra; Arun K. Pujari (MIKE, 2013)

Spectral approach to find number of clusters of short-text documents. - Anil Goyal; Mukesh K. Jadon; Arun K. Pujari (NCVPRIPG, 2013)

Precedence Mining in Group Recommender Systems. - Venkateswara Rao Kagita; Vineet Padmanabhan; Arun K. Pujari (PReMI, 2013)

Collaborative filtering by PSO-based MMMF. - Sowmini Devi V.; Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan (SMC, 2014)

Bi-directional Search for Skyline Probability. - Arun K. Pujari; Venkateswara Rao Kagita; Anubhuti Garg; Vineet Padmanabhan (CALDAM, 2015)

Topic Modelling for Songs. - Nishma Laitonjam; Vineet Padmanabhan; Arun K. Pujari; Rajendra Prasad Lal (ICIT, 2015)

On the Phase Transition Analysis of k/Q-coverage Problem in Wireless Sensor Networks. - S. Mini 001; Arun K. Pujari (ICIT, 2015)

Learning in Real-Time Strategy Games. - Vineet Padmanabhan; Pranay Goud; Arun K. Pujari; Harshit Sethy (ICIT, 2015)

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)

Recommender system algorithms: A comparative analysis based on monotonicity. - Tadiparthi V. R. Himabindu; Vineet Padmanabhan; Venkateswara Rao Kagita; Arun K. Pujari (ICAPR, 2015)

Polyhedral Approach for Lifetime Maximization of Target Coverage Problem. - Arun K. Pujari; S. Mini 001; Trideba Padhi; Prabhanjan Sahoo (ICDCN, 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)

Virtual user approach for group recommender systems using precedence relations. - Venkateswara Rao Kagita; Arun K. Pujari; Vineet Padmanabhan (Inf. Sci., 2015)

Efficient computation for probabilistic skyline over uncertain preferences. - Arun K. Pujari; Venkateswara Rao Kagita; Anubhuti Garg; Vineet Padmanabhan (Inf. Sci., 2015)

Prediction with Confidence in Item Based Collaborative Filtering. - Tadiparthi V. R. Himabindu; Vineet Padmanabhan; Arun K. Pujari; Abdul Sattar 001 (PRICAI, 2016)

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)

A Matrix Factorization & Clustering Based Approach for Transfer Learning. - Sowmini Devi V.; Vineet Padmanabhan; Arun K. Pujari (PReMI, 2017)

Bounds on skyline probability for databases with uncertain preferences. - Arun K. Pujari; Vineet Padmanabhan; Venkateswara Rao Kagita (Int. J. Approx. Reason., 2017)

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)

Conformal matrix factorization based recommender system. - Tadiparthi V. R. Himabindu; Vineet Padmanabhan; Arun K. Pujari (Inf. Sci., 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)

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)

A new unsupervised method for boundary perception and word-like segmentation of sequence. - Arko Banerjee; Arun K. Pujari; Bibudhendu Pati; Chhabi Rani Panigrahi (Int. J. Comput. Sci. Eng., 2020)

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

A new method for weighted ensemble clustering and coupled ensemble selection. - Arko Banerjee; Arun K. Pujari; Chhabi Rani Panigrahi; Bibudhendu Pati; Suvendu Chandan Nayak; Tien-Hsiung Weng (Connect. Sci., 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)

Face recognition using particle swarm optimization based block ICA. - Rasmikanta Pati; Arun K. Pujari; Padmavati Gahan (Multim. Tools Appl., 2021)

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)

Gradient based Hybridization of PSO. - Arun K. Pujari; Sowmini Devi Veeramachaneni (CSAI, 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)

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

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)

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