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Arun K. Pujari
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2020 – today
- 2024
- [j46]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): 121967 (2024) - [j45]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: 111552 (2024) - 2023
- [c54]Arun K. Pujari
, Sowmini Devi Veeramachaneni
:
Gradient based Hybridization of PSO. CSAI 2023: 353-360 - [i11]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 abs/2306.13050 (2023) - [i10]Venkateswara Rao Kagita, Anshuman Singh, Vikas Kumar, Pavan Kalyan Reddy Neerudu, Arun K. Pujari, Rohit Kumar Bondugula:
Conformal Group Recommender System. CoRR abs/2307.12034 (2023) - [i9]Adamya Shyam, Vikas Kumar, Venkateswara Rao Kagita, Arun K. Pujari:
UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations. CoRR abs/2308.04247 (2023) - [i8]Arun K. Pujari, Sowmini Devi Veeramachaneni:
Gradient Based Hybridization of PSO. CoRR abs/2312.09703 (2023) - 2022
- [j44]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: 102002 (2022) - [j43]Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
:
Inductive conformal recommender system. Knowl. Based Syst. 250: 109108 (2022) - [i7]Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data. CoRR abs/2203.13995 (2022) - 2021
- [j42]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): 623-644 (2021) - [j41]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) - [j40]Rasmikanta Pati
, Arun K. Pujari, Padmavati Gahan:
Face recognition using particle swarm optimization based block ICA. Multim. Tools Appl. 80(28-29): 35685-35695 (2021) - [c53]Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar:
Committee Selection using Attribute Approvals. AAMAS 2021: 683-691 - [i6]Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. CoRR abs/2108.01473 (2021) - [i5]Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Inductive Conformal Recommender System. CoRR abs/2109.08949 (2021) - 2020
- [j39]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): 286-295 (2020)
2010 – 2019
- 2019
- [j38]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) - [j37]Vikas Kumar
, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
:
Group preserving label embedding for multi-label classification. Pattern Recognit. 90: 23-34 (2019) - [j36]Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar
:
Skyline recommendation with uncertain preferences. Pattern Recognit. Lett. 125: 446-452 (2019) - [i4]Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Committee Selection with Attribute Level Preferences. CoRR abs/1901.10064 (2019) - 2018
- [j35]Vikas Kumar
, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Venkateswara Rao Kagita
:
Multi-label classification using hierarchical embedding. Expert Syst. Appl. 91: 263-269 (2018) - [j34]Tadiparthi V. R. Himabindu
, Vineet Padmanabhan, Arun K. Pujari:
Conformal matrix factorization based recommender system. Inf. Sci. 467: 685-707 (2018) - [i3]Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita:
Group Preserving Label Embedding for Multi-Label Classification. CoRR abs/1812.09910 (2018) - 2017
- [j33]Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
:
Bounds on skyline probability for databases with uncertain preferences. Int. J. Approx. Reason. 80: 199-213 (2017) - [j32]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: 1-11 (2017) - [j31]Venkateswara Rao Kagita
, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar
:
Conformal recommender system. Inf. Sci. 405: 157-174 (2017) - [j30]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: 62-67 (2017) - [c52]Sowmini Devi V.
, Vineet Padmanabhan
, Arun K. Pujari
:
A Matrix Factorization & Clustering Based Approach for Transfer Learning. PReMI 2017: 77-83 - 2016
- [c51]Tadiparthi V. R. Himabindu
, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar
:
Prediction with Confidence in Item Based Collaborative Filtering. PRICAI 2016: 125-138 - [c50]K. H. Salman, Arun K. Pujari, Vikas Kumar
, Sowmini Devi Veeramachaneni
:
Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization. PRICAI 2016: 167-179 - [c49]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: 193-205 - 2015
- [j29]Venkateswara Rao Kagita
, Arun K. Pujari, Vineet Padmanabhan:
Virtual user approach for group recommender systems using precedence relations. Inf. Sci. 294: 15-30 (2015) - [j28]Arun K. Pujari, Venkateswara Rao Kagita
, Anubhuti Garg, Vineet Padmanabhan
:
Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. 324: 146-162 (2015) - [c48]Arun K. Pujari, Venkateswara Rao Kagita
, Anubhuti Garg, Vineet Padmanabhan:
Bi-directional Search for Skyline Probability. CALDAM 2015: 250-261 - [c47]S. Mini, Arun K. Pujari:
On the Phase Transition Analysis of k/Q-coverage Problem in Wireless Sensor Networks. ICIT 2015: 54-59 - [c46]Nishma Laitonjam, Vineet Padmanabhan, Arun K. Pujari, Rajendra Prasad Lal:
Topic Modelling for Songs. ICIT 2015: 130-135 - [c45]Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita
, Vikas Kumar
, Vineet Padmanabhan:
GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT 2015: 142-147 - [c44]Vineet Padmanabhan, Pranay Goud, Arun K. Pujari, Harshit Sethy:
Learning in Real-Time Strategy Games. ICIT 2015: 165-170 - [c43]Tadiparthi V. R. Himabindu
, Vineet Padmanabhan
, Venkateswara Rao Kagita
, Arun K. Pujari:
Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR 2015: 1-6 - [c42]Arun K. Pujari, S. Mini, Trideba Padhi
, Prabhanjan Sahoo:
Polyhedral Approach for Lifetime Maximization of Target Coverage Problem. ICDCN 2015: 14:1-14:8 - [c41]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: 1-4 - 2014
- [c40]Sowmini Devi V.
, Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan
:
Collaborative filtering by PSO-based MMMF. SMC 2014: 569-574 - 2013
- [c39]Krutika Verma, Mukesh K. Jadon, Arun K. Pujari:
Clustering Short-Text Using Non-negative Matrix Factorization of Hadamard Product of Similarities. AIRS 2013: 145-155 - [c38]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: 434-440 - [c37]Chandana Mitra, Arun K. Pujari:
Directional Decomposition for Odia Character Recognition. MIKE 2013: 270-278 - [c36]Anil Goyal
, Mukesh K. Jadon, Arun K. Pujari:
Spectral approach to find number of clusters of short-text documents. NCVPRIPG 2013: 1-4 - [c35]Venkateswara Rao Kagita
, Vineet Padmanabhan
, Arun K. Pujari:
Precedence Mining in Group Recommender Systems. PReMI 2013: 701-707 - 2012
- [c34]Tusar Kanti Mishra
, Arun K. Pujari:
Time Series Quanslet: A Novel Primitive for Image Classification. IC3 2012: 64-72 - 2011
- [j27]Subrat Kumar Dash, Krupa Sagar Reddy, Arun K. Pujari:
Adaptive Naive Bayes method for masquerade detection. Secur. Commun. Networks 4(4): 410-417 (2011) - [i2]Manju Chaudhary, Arun K. Pujari:
High-Energy-First (HEF) Heuristic for Energy-Efficient Target Coverage Problem. CoRR abs/1103.4769 (2011) - 2010
- [c33]P. Rajasekhara, Arun K. Pujari:
A new clusterwise similarity for partitions based on quantitative disagreement. ICVGIP 2010: 117-123
2000 – 2009
- 2009
- [c32]Arko Banerjee, Arun K. Pujari:
Opportunistic Consensus Clustering. DMIN 2009: 543-549 - [c31]Amit K. Sharma
, Nikunj Thakral, Siba K. Udgata
, Arun K. Pujari:
Heuristics for Minimizing Interference in Sensor Networks. ICDCN 2009: 49-54 - [c30]Manju Chaudhary, Arun K. Pujari:
Q-Coverage Problem in Wireless Sensor Networks. ICDCN 2009: 325-330 - 2008
- [e1]R. Sekar, Arun K. Pujari:
Information Systems Security, 4th International Conference, ICISS 2008, Hyderabad, India, December 16-20, 2008. Proceedings. Lecture Notes in Computer Science 5352, Springer 2008, ISBN 978-3-540-89861-0 [contents] - 2007
- [j26]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): 488-495 (2007) - [j25]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): 5275-5291 (2007) - [j24]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): 293-300 (2007) - [c29]A. R. Dani, Arun K. Pujari, Ved Prakash Gulati:
Strategy proof electronic markets. ICEC 2007: 45-54 - [c28]Subrat Kumar Dash, Sanjay Rawat, Arun K. Pujari:
Use of Dimensionality Reduction for Intrusion Detection. ICISS 2007: 306-320 - [c27]A. R. Dani, Arun K. Pujari, Ved Prakash Gulati:
Strategy Proof Electronic Markets. IICAI 2007: 2155-2171 - [c26]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: 1011-1016 - 2006
- [j23]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): 197-212 (2006) - [j22]Krishna Sandeep Reddy Dubba, Arun K. Pujari:
N-gram analysis for computer virus detection. J. Comput. Virol. 2(3): 231-239 (2006) - [c25]Krishna Sandeep Reddy Dubba, Subrat Kumar Dash, Arun K. Pujari:
New Malicious Code Detection Using Variable Length n-grams. ICISS 2006: 276-288 - [c24]J. Naveen Kumar Reddy, Chakravarthy Bhagvati, Raju S. Bapi
, Arun K. Pujari, Bulusu Lakshmana Deekshatulu:
Content Based Image Retrieval Using Region Labelling. ICVGIP 2006: 872-881 - [c23]A. R. Dani, Arun K. Pujari, Ved Prakash Gulati:
Multi Unit Auctions with Constraints in Financial Domain. CEC/EEE 2006: 17 - 2005
- [j21]V. Radha, Ved Prakash Gulati, Arun K. Pujari:
Appcast: a low stress and high stretch overlay protocol. Int. J. Grid Util. Comput. 1(1): 38-45 (2005) - [j20]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): 122-149 (2005) - [j19]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): 2364-2373 (2005) - [j18]Sanjay Rawat, Ved Prakash Gulati, Arun K. Pujari:
A Fast Host-Based Intrusion Detection System Using Rough Set Theory. Trans. Rough Sets 4: 144-161 (2005) - [c22]A. R. Dani, Arun K. Pujari, Ved Prakash Gulati:
Continuous Call Double Auctions with Indivisibility Constraints. EEE 2005: 32-37 - [c21]A. R. Dani, Ved Prakash Gulati, Arun K. Pujari:
Auction Based System for Electronic Commerce Transaction. ICEIS (4) 2005: 16-23 - [c20]A. R. Dani, Ved Prakash Gulati, Arun K. Pujari:
Design of Continuous Call Market with Assignment Constraints. ICEIS (4) 2005: 182-187 - [c19]Subrat Kumar Dash, Krupa Sagar Reddy, Arun K. Pujari:
Episode Based Masquerade Detection. ICISS 2005: 251-262 - [c18]Priti Chandra, Arun K. Pujari:
Minimality and Convexity Properties in Spatial CSPs. ICTAI 2005: 589-593 - [c17]K. Jalaja, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu, Arun K. Pujari:
Texture element feature characterizations for CBIR. IGARSS 2005: 4 - [i1]Ravi Sankar Veerubhotla, Ashutosh Saxena, Ved Prakash Gulati, Arun K. Pujari:
Gossip Codes for Fingerprinting: Construction, Erasure Analysis and Pirate Tracing. CoRR abs/cs/0505062 (2005) - 2004
- [j17]S. Durga Bhavani, Arun K. Pujari:
EvIA - Evidential Interval Algebra and Heuristic Backtrack-Free Algorithm. Constraints An Int. J. 9(3): 193-218 (2004) - [j16]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): 411-421 (2004) - [j15]Arun K. Pujari, Challa 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): 1221-1227 (2004) - [j14]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): 1845-1855 (2004) - [c16]V. Radha, Ved Prakash Gulati, Arun K. Pujari:
A Balanced Multicast Overlay Protocol - Appcast. AINA (2) 2004: 307-312 - [c15]J. Nileema, Priti Chandra, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu:
Content Based Retrieval of Emotions in Face Images. ICVGIP 2004: 332-337 - [c14]K. Kiran Kumar, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu:
Bitplane Based Area Morphology for CBIR. ICVGIP 2004: 575-580 - [c13]V. Radha, Ved Prakash Gulati, Arun K. Pujari:
Efficient Multicast E-Services Over APPCAST. ITCC (2) 2004: 331-336 - [c12]Ravi Sankar Veerubhotla, Ashutosh Saxena
, Ved Prakash Gulati, Arun K. Pujari:
On Gossip Codes and Traceability Schemes. ITCC (1) 2004: 772-777 - [c11]Arun K. Pujari, T. Adilakshmi
:
A Novel Heuristic to Solve IA Network by Convex Approximation and Weights. PRICAI 2004: 154-163 - [c10]Sanjay Rawat, Arun K. Pujari, Ved Prakash Gulati:
On the Use of Singular Value Decomposition for a Fast Intrusion Detection System. VODCA@FOSAD 2004: 215-228 - 2003
- [c9]V. Radha, Ved Prakash Gulati, Arun K. Pujari:
Appcast - A Low Stress and High Stretch Overlay Protocol. GCC (2) 2003: 360-371 - 2002
- [c8]Arun K. Pujari, Challa Dhanunjaya Naidu, B. C. Jinaga:
An Adaptive Character Recognizer for Telugu Scripts Using Multiresolution Analysis, Associative Memory. ICVGIP 2002 - 2000
- [c7]Vineet Padmanabhan
, Abdul Sattar, Arun K. Pujari, Chinmoy Goswami:
Temporal Reasoning: A Three Way Analysis. TIME 2000: 183-189
1990 – 1999
- 1999
- [j13]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): 351-370 (1999) - [j12]A. K. Shiny, Arun K. Pujari:
An Efficient Algorithm to Generate Prime Implicants. J. Autom. Reason. 22(2): 149-170 (1999) - [c6]Arun K. Pujari, G. Vijaya Kumari, Abdul Sattar:
INDU: An Interval and Duration Network. Australian Joint Conference on Artificial Intelligence 1999: 291-303 - [c5]Arun K. Pujari, Abdul Sattar:
A New Framework for Reasoning about Points, Intervals and Durations. IJCAI 1999: 1259-1267 - 1998
- [j11]A. K. Shiny, Arun K. Pujari:
Computation of Prime Implicants Using Matrix and Paths. J. Log. Comput. 8(2): 135-145 (1998) - 1997
- [c4]M. Sreenivasa Rao, Arun K. Pujari, Bala Srinivasan:
A New Neural Network Architecture for Efficient Close Proximity Match of Large Databases. DEXA Workshop 1997: 444-449 - 1996
- [j10]M. B. Sukhaswami, Arun K. Pujari:
Restoration of geometrically aberrated images using a self-organising neural network. Pattern Recognit. Lett. 17(1): 1-10 (1996) - 1995
- [j9]M. B. Sukhaswami, P. Seetharamulu, Arun K. Pujari:
Recognition of telugu characters using neural networks. Int. J. Neural Syst. 6(3): 317-357 (1995) - 1993
- [c3]Arun K. Pujari:
Efficient Algorithm to Sort Linear Combinations of Arrays. FSTTCS 1993: 411-418 - 1992
- [j8]V. B. Nitya, N. Sridevi, Arun K. Pujari:
Linear octree by volume intersection using perspective silhouettes. Pattern Recognit. Lett. 13(11): 781-788 (1992) - 1991
- [j7]Deepak Bhatnagar, Arun K. Pujari, P. Seetharamulu:
Static scene analysis using structured light. Image Vis. Comput. 9(2): 82-87 (1991) - [j6]K. Shanmukh, Arun K. Pujari:
Volume intersection with optimal set of directions. Pattern Recognit. Lett. 12(3): 165-170 (1991) - 1990
- [j5]B. Lavakusha, Arun K. Pujari, P. G. Reddy:
Polygonal representation by edge k-d trees. Pattern Recognit. Lett. 11(6): 391-394 (1990) - [j4]Anita G. Pai, H. Usha, Arun K. Pujari:
Linear octree of a 3D object from 2D silhouettes using segment tree. Pattern Recognit. Lett. 11(9): 619-623 (1990) - [c2]R. Ethindra Kumar, Arun Agarwal, Arun K. Pujari:
Off-line Shorthand Recognition System. MVA 1990: 437-440
1980 – 1989
- 1989
- [j3]B. Lavakusha, Arun K. Pujari, P. G. Reddy:
Linear octrees by volume intersection. Comput. Vis. Graph. Image Process. 45(3): 371-379 (1989) - 1988
- [j2]Arun K. Pujari:
Separability of unimodal polygons. Pattern Recognit. Lett. 7(3): 163-165 (1988) - 1985
- [c1]Arun K. Pujari, S. L. Mehndiratta:
Architecture of an expert database management system. RIAO 1985: 183-206 - 1983
- [j1]Arun K. Pujari, Ashok K. Mittal, S. K. Gupta:
A convex polytope of diameter one. Discret. Appl. Math. 5(2): 241-242 (1983)
Coauthor Index
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