Arun K. Pujari

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 32

Top Venues

Publications

Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations. Knowl. Based Syst. 289 (2024)
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization. Expert Syst. Appl. 238 (Part B) (2024)
Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari
UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations. CoRR (2023)
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K. Pujari
Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization. CoRR (2023)
Arun K. Pujari, Sowmini Devi Veeramachaneni
Gradient based Hybridization of PSO. CSAI (2023)
Venkateswara Rao Kagita, Anshuman Singh, Vikas Kumar, Pavan Kalyan Reddy Neerudu, Arun K. Pujari, Rohit Kumar Bondugula
Conformal Group Recommender System. CoRR (2023)
Arun K. Pujari, Sowmini Devi Veeramachaneni
Gradient Based Hybridization of PSO. CoRR (2023)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data. Inf. Syst. 107 (2022)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Inductive conformal recommender system. Knowl. Based Syst. 250 (2022)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. CoRR (2022)
Rasmikanta Pati, Arun K. Pujari, Padmavati Gahan, Vikas Kumar
Independent Component Analysis: A Review, with Emphasis on Commonly used Algorithms and Contrast Function. Computación y Sistemas 25 (1) (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar
Committee Selection using Attribute Approvals. AAMAS (2021)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Inductive Conformal Recommender System. CoRR (2021)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. CoRR (2021)
Rasmikanta Pati, Arun K. Pujari, Padmavati Gahan
Face recognition using particle swarm optimization based block ICA. Multim. Tools Appl. 80 (28-29) (2021)
Arko Banerjee, Arun K. Pujari, Chhabi Rani Panigrahi, Bibudhendu Pati, Suvendu Chandan Nayak, Tien-Hsiung Weng
A new method for weighted ensemble clustering and coupled ensemble selection. Connect. Sci. 33 (3) (2021)
Arko Banerjee, Arun K. Pujari, Bibudhendu Pati, Chhabi Rani Panigrahi
A new unsupervised method for boundary perception and word-like segmentation of sequence. Int. J. Comput. Sci. Eng. 23 (3) (2020)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Skyline recommendation with uncertain preferences. Pattern Recognit. Lett. 125 (2019)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Group preserving label embedding for multi-label classification. Pattern Recognit. 90 (2019)
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation. Appl. Soft Comput. 85 (2019)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
Committee Selection with Attribute Level Preferences. CoRR (2019)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita
Multi-label classification using hierarchical embedding. Expert Syst. Appl. 91 (2018)
Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Group Preserving Label Embedding for Multi-Label Classification. CoRR (2018)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari
Conformal matrix factorization based recommender system. Inf. Sci. 467 (2018)
Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
Collaborative filtering using multiple binary maximum margin matrix factorizations. Inf. Sci. 380 (2017)
Vikas Kumar, Arun K. Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, Vineet Padmanabhan
Proximal maximum margin matrix factorization for collaborative filtering. Pattern Recognit. Lett. 86 (2017)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar
Conformal recommender system. Inf. Sci. 405 (2017)
Sowmini Devi V., Vineet Padmanabhan, Arun K. Pujari
A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI (2017)
Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
Bounds on skyline probability for databases with uncertain preferences. Int. J. Approx. Reason. 80 (2017)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu
Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. PRICAI (2016)
K. H. Salman, Arun K. Pujari, Vikas Kumar, Sowmini Devi Veeramachaneni
Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization. PRICAI (2016)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar
Prediction with Confidence in Item Based Collaborative Filtering. PRICAI (2016)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Virtual user approach for group recommender systems using precedence relations. Inf. Sci. 294 (2015)
Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
Bi-directional Search for Skyline Probability. CALDAM (2015)
Arun K. Pujari, S. Mini, Trideba Padhi, Prabhanjan Sahoo
Polyhedral Approach for Lifetime Maximization of Target Coverage Problem. ICDCN (2015)
Nishma Laitonjam, Vineet Padmanabhan, Arun K. Pujari, Rajendra Prasad Lal
Topic Modelling for Songs. ICIT (2015)
Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan
GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT (2015)
Vineet Padmanabhan, Pranay Goud, Arun K. Pujari, Harshit Sethy
Learning in Real-Time Strategy Games. ICIT (2015)
Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan
Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. 324 (2015)
S. Mini, Arun K. Pujari
On the Phase Transition Analysis of k/Q-coverage Problem in Wireless Sensor Networks. ICIT (2015)
Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari
Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR (2015)
Sandeep Kumar Sahu, Arun K. Pujari, Vikas Kumar, Venkateswara Rao Kagita, Vineet Padmanabhan
Greedy partitioning based tree structured multiclass SVM for Odia OCR. NCVPRIPG (2015)
Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Collaborative filtering by PSO-based MMMF. SMC (2014)
Krutika Verma, Mukesh K. Jadon, Arun K. Pujari
Clustering Short-Text Using Non-negative Matrix Factorization of Hadamard Product of Similarities. AIRS (2013)
Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
Group Recommender Systems: A Virtual User Approach Based on Precedence Mining. Australasian Conference on Artificial Intelligence (2013)
Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari
Precedence Mining in Group Recommender Systems. PReMI (2013)
Chandana Mitra, Arun K. Pujari
Directional Decomposition for Odia Character Recognition. MIKE (2013)
Anil Goyal, Mukesh K. Jadon, Arun K. Pujari
Spectral approach to find number of clusters of short-text documents. NCVPRIPG (2013)
Tusar Kanti Mishra, Arun K. Pujari
Time Series Quanslet: A Novel Primitive for Image Classification. IC3 (2012)
Subrat Kumar Dash, Krupa Sagar Reddy, Arun K. Pujari
Adaptive Naive Bayes method for masquerade detection. Secur. Commun. Networks 4 (4) (2011)
Manju Chaudhary, Arun K. Pujari
High-Energy-First (HEF) Heuristic for Energy-Efficient Target Coverage Problem CoRR (2011)
P. Rajasekhara, Arun K. Pujari
A new clusterwise similarity for partitions based on quantitative disagreement. ICVGIP (2010)
Amit K. Sharma, Nikunj Thakral, Siba K. Udgata, Arun K. Pujari
Heuristics for Minimizing Interference in Sensor Networks. ICDCN (2009)
Arko Banerjee, Arun K. Pujari
Opportunistic Consensus Clustering. DMIN (2009)
Manju Chaudhary, Arun K. Pujari
Q-Coverage Problem in Wireless Sensor Networks. ICDCN (2009)
Challa S. Sastry, Sanjay Rawat, Arun K. Pujari, Ved Prakash Gulati
Network traffic analysis using singular value decomposition and multiscale transforms. Inf. Sci. 177 (23) (2007)
Alok Sharma, Arun K. Pujari, Kuldip K. Paliwal
Intrusion detection using text processing techniques with a kernel based similarity measure. Comput. Secur. 26 (7-8) (2007)
A. R. Dani, Arun K. Pujari, Ved Prakash Gulati
Strategy proof electronic markets. ICEC (2007)
Subrat Kumar Dash, Sanjay Rawat, Arun K. Pujari
Use of Dimensionality Reduction for Intrusion Detection. ICISS (2007)
Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. IJCAI (2007)
Challa S. Sastry, M. Ravindranath, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
A modified Gabor function for content based image retrieval. Pattern Recognit. Lett. 28 (2) (2007)
A. R. Dani, Arun K. Pujari, Ved Prakash Gulati
Strategy Proof Electronic Markets. IICAI (2007)
J. Naveen Kumar Reddy, Chakravarthy Bhagvati, Raju S. Bapi, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
Content Based Image Retrieval Using Region Labelling. ICVGIP (2006)
Challa S. Sastry, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
A Fourier-Radial Descriptor Algorithm for Invariant Feature Extraction. Int. J. Wavelets Multiresolution Inf. Process. 4 (1) (2006)
Krishna Sandeep Reddy Dubba, Arun K. Pujari
-gram analysis for computer virus detection. J. Comput. Virol. 2 (3) (2006)
Sanjay Rawat, Arun K. Pujari, Ved Prakash Gulati
On the Use of Singular Value Decomposition for a Fast Intrusion Detection System. Electron. Notes Theor. Comput. Sci. 142 (2006)
Krishna Sandeep Reddy Dubba, Subrat Kumar Dash, Arun K. Pujari
-grams. ICISS (2006)
A. R. Dani, Arun K. Pujari, Ved Prakash Gulati
Multi Unit Auctions with Constraints in Financial Domain. CEC/EEE (2006)
Sanjay Rawat, Ved Prakash Gulati, Arun K. Pujari
A Fast Host-Based Intrusion Detection System Using Rough Set Theory. Trans. Rough Sets 4 (2005)
Ravi Sankar Veerubhotla, Ashutosh Saxena, Ved Prakash Gulati, Arun K. Pujari
Gossip Codes for Fingerprinting: Construction, Erasure Analysis and Pirate Tracing. J. Univers. Comput. Sci. 11 (1) (2005)
A. R. Dani, Arun K. Pujari, Ved Prakash Gulati
Continuous Call Double Auctions with Indivisibility Constraints. EEE (2005)
K. Jalaja, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu, Arun K. Pujari
Texture element feature characterizations for CBIR. IGARSS (2005)
Priti Chandra, Arun K. Pujari
Minimality and Convexity Properties in Spatial CSPs. ICTAI (2005)
Mala Dutta, Anjana Kakoti Mahanta, Arun K. Pujari
QROCK: A quick version of the ROCK algorithm for clustering of categorical data. Pattern Recognit. Lett. 26 (15) (2005)
Ravi Sankar Veerubhotla, Ashutosh Saxena, Ved Prakash Gulati, Arun K. Pujari
Gossip Codes for Fingerprinting: Construction, Erasure Analysis and Pirate Tracing CoRR (2005)
A. R. Dani, Ved Prakash Gulati, Arun K. Pujari
Auction Based System for Electronic Commerce Transaction. ICEIS (4) (2005)
V. Radha, Ved Prakash Gulati, Arun K. Pujari
Appcast: a low stress and high stretch overlay protocol. Int. J. Grid Util. Comput. 1 (1) (2005)
A. R. Dani, Ved Prakash Gulati, Arun K. Pujari
Design of Continuous Call Market with Assignment Constraints. ICEIS (4) (2005)
Subrat Kumar Dash, Krupa Sagar Reddy, Arun K. Pujari
Episode Based Masquerade Detection. ICISS (2005)
Ravi Sankar Veerubhotla, Ashutosh Saxena, Ved Prakash Gulati, Arun K. Pujari
On Gossip Codes and Traceability Schemes. ITCC (1) (2004)
Arun K. Pujari, T. Adilakshmi
A Novel Heuristic to Solve IA Network by Convex Approximation and Weights. PRICAI (2004)
J. Nileema, Priti Chandra, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
Content Based Retrieval of Emotions in Face Images. ICVGIP (2004)
Arun K. Pujari, C. Dhanunjaya Naidu, M. Sreenivasa Rao, B. C. Jinaga
An intelligent character recognizer for Telugu scripts using multiresolution analysis and associative memory. Image Vis. Comput. 22 (14) (2004)
S. Durga Bhavani, Arun K. Pujari
EvIA - Evidential Interval Algebra and Heuristic Backtrack-Free Algorithm. Constraints An Int. J. 9 (3) (2004)
K. Kiran Kumar, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
Bitplane Based Area Morphology for CBIR. ICVGIP (2004)
Challa S. Sastry, Arun K. Pujari, Bulusu Lakshmana Deekshatulu, Chakravarthy Bhagvati
A wavelet based multiresolution algorithm for rotation invariant feature extraction. Pattern Recognit. Lett. 25 (16) (2004)
V. Radha, Ved Prakash Gulati, Arun K. Pujari
Efficient Multicast E-Services Over APPCAST. ITCC (2) (2004)
Sanjay Rawat, Ved Prakash Gulati, Arun K. Pujari
Frequency- and ordering-based similarity measure for host-based intrusion detection. Inf. Manag. Comput. Secur. 12 (5) (2004)
V. Radha, Ved Prakash Gulati, Arun K. Pujari
A Balanced Multicast Overlay Protocol - Appcast. AINA (2) (2004)
V. Radha, Ved Prakash Gulati, Arun K. Pujari
Appcast - A Low Stress and High Stretch Overlay Protocol. GCC (2) (2003)
Arun K. Pujari, C. Dhanunjaya Naidu, B. C. Jinaga
An Adaptive Character Recognizer for Telugu Scripts Using Multiresolution Analysis, Associative Memory. ICVGIP (2002)
Vineet Padmanabhan, Abdul Sattar, Arun K. Pujari, Chinmoy Goswami
Temporal Reasoning: A Three Way Analysis. TIME (2000)
M. Sreenivasa Rao, Arun K. Pujari
A New Neural Network Architecture with Associative Memory, Pruning and Order-Sensitive Learning. Int. J. Neural Syst. 9 (4) (1999)
A. K. Shiny, Arun K. Pujari
An Efficient Algorithm to Generate Prime Implicants. J. Autom. Reason. 22 (2) (1999)
Arun K. Pujari, Abdul Sattar
A New Framework for Reasoning about Points, Intervals and Durations. IJCAI (1999)
Arun K. Pujari, G. Vijaya Kumari, Abdul Sattar
INDU: An Interval and Duration Network. Australian Joint Conference on Artificial Intelligence (1999)
A. K. Shiny, Arun K. Pujari
Computation of Prime Implicants Using Matrix and Paths. J. Log. Comput. 8 (2) (1998)
M. Sreenivasa Rao, Arun K. Pujari, Bala Srinivasan
A New Neural Network Architecture for Efficient Close Proximity Match of Large Databases. DEXA Workshop (1997)
M. B. Sukhaswami, Arun K. Pujari
Restoration of geometrically aberrated images using a self-organising neural network. Pattern Recognit. Lett. 17 (1) (1996)
M. B. Sukhaswami, P. Seetharamulu, Arun K. Pujari
Recognition of telugu characters using neural networks. Int. J. Neural Syst. 6 (3) (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arun K. Pujari