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V. S. Ananthanarayana
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- affiliation: National Institute of Technology Karnataka, Surathkal, Mangalore, India
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2020 – today
- 2024
- [j26]Shashank Shetty
, V. S. Ananthanarayana, Ajit Mahale
SMC-CNN: Stacked Multi-Channel Convolution Neural Network for Predicting Acute Brain Infarct From Magnetic Resonance Imaging Sequences. IEEE Access 12: 171112-171142 (2024) - 2023
- [j25]Reshma Unnikrishnan
Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data. Eng. Appl. Artif. Intell. 123(Part A): 106214 (2023) - [j24]Shashank Shetty
Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports. Multim. Tools Appl. 82(28): 44431-44478 (2023) - [c41]Avinash Jha
An Interpretable Deep Learning Model for Skin Lesion Classification. ICACDS 2023: 543-553 - [c40]Shashank Shetty
Data Augmentation vs. Synthetic Data Generation: An Empirical Evaluation for Enhancing Radiology Image Classification. ICIIS 2023: 1-6 - 2022
- [j23]R. Sakthi Murugan, V. S. Ananthanarayana:
WordCode using WordTrie. J. King Saud Univ. Comput. Inf. Sci. 34(3): 923-933 (2022) - [c39]Reshma Unnikrishnan, Sowmya Kamath S., Ananthanarayana V. S.:
HaleLab_NITK@SMM4H'22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data. SMM4H@COLING 2022: 95-97 - [c38]Reshma Unnikrishnan, S. Sowmya Kamath
Population-centric Profiling with Social Data for Large-scale Epidemiological studies. COMAD/CODS 2022: 302-303 - [c37]Mohd Asif Khan Khaishagi, V. S. Ananthanarayana:
Yatch: Leaderless, Fault Tolerant Consensus Protocol. ICAC 2022: 1-6 - 2020
- [j22]Rathinaraja Jeyaraj
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32(7) (2020) - [j21]Rathinaraja Jeyaraj
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j20]Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment. J. Ambient Intell. Humaniz. Comput. 11(10): 4261-4272 (2020) - [c36]Pushpalatha K, Ananthanarayana V. S.:
Multimedia Document Mining using Sequential Multimedia Feature Patterns. BigMM 2020: 231-238 - [c35]Shashank Shetty
Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition. EANN 2020: 352-364
2010 – 2019
- 2019
- [j19]S. Sowmya Kamath
Discovering composable web services using functional semantics and service dependencies based on natural language requests. Inf. Syst. Frontiers 21(1): 175-189 (2019) - [j18]Rathinaraja Jeyaraj
Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment. J. Supercomput. 75(11): 7520-7549 (2019) - [j17]N. Karthik
Context Aware Trust Management Scheme for Pervasive Healthcare. Wirel. Pers. Commun. 105(3): 725-763 (2019) - [j16]N. Karthik
Trust Based Data Gathering in Wireless Sensor Network. Wirel. Pers. Commun. 108(3): 1697-1717 (2019) - [c34]Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase. ICIS 2019: 30-34 - [c33]R. Sakthi Murugan, V. S. Ananthanarayana:
NPRank: Nexus based Predicate Ranking of Linked Data. ICDSE 2019: 46-50 - 2018
- [c32]N. Karthik
A Trust Model for Lightweight Semantic Annotation of Sensor Data in Pervasive Environment. ICIS 2018: 28-33 - [c31]N. Karthik
Towards an Upper Ontology and Hybrid Ontology Matching for Pervasive Environments. ISDA (2) 2018: 275-283 - [c30]Rathinaraja Jeyaraj
Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment. SAC 2018: 167-174 - [c29]Rathinaraja Jeyaraj
Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment. SERA 2018: 211-218 - 2017
- [j15]Pushpalatha K
A tree based representation for effective pattern discovery from multimedia documents. Pattern Recognit. Lett. 93: 143-153 (2017) - [j14]N. Karthik
A Hybrid Trust Management Scheme for Wireless Sensor Networks. Wirel. Pers. Commun. 97(4): 5137-5170 (2017) - [c28]Pushpalatha K
A New Multimedia Documents Clustering Approach Based on Feature Patterns Similarity. ISM 2017: 296-299 - [c27]N. Karthik
Sensor Data Modeling for Data Trustworthiness. TrustCom/BigDataSE/ICESS 2017: 909-916 - 2016
- [j13]S. Sowmya Kamath
Semantics-based Web service classification using morphological analysis and ensemble learning techniques. Int. J. Data Sci. Anal. 2(1-2): 61-74 (2016) - [j12]Pushpalatha K
Feature pattern based representation of multimedia documents for efficient knowledge discovery. Multim. Tools Appl. 75(15): 9461-9487 (2016) - [c26]N. Karthik
Data Trustworthiness in Wireless Sensor Networks. Trustcom/BigDataSE/ISPA 2016: 2181-2186 - 2015
- [j11]S. Sowmya Kamath
A bio-inspired, incremental clustering algorithm for semantics-based web service discovery. Int. J. Reason. based Intell. Syst. 7(3/4): 261-275 (2015) - [c25]Pushpalatha K
A New Glowworm Swarm Optimization Based Clustering Algorithm for Multimedia Documents. ISM 2015: 262-265 - 2014
- [j10]Melwyn D'Souza, V. S. Ananthanarayana:
Enhanced LBS Discovery in a Decentralized Registry Based Web Services Environment. J. Web Eng. 13(1&2): 1-23 (2014) - [c24]Pushpalatha K
An Unified Approach for Multimedia Document Representation and Document Similarity. CSE 2014: 249-256 - [c23]Sowmya Kamath S.
Similarity analysis of service descriptions for efficient Web service discovery. DSAA 2014: 142-148 - [c22]Sowmya Kamath S.
Change propagation based incremental data handling in a Web service discovery framework. ISSPIT 2014: 474-479 - 2013
- [c21]Melwyn D'Souza, V. S. Ananthanarayana:
Cloud Based Service Registry for Location Based Mobile Web Services System. ADCONS 2013: 108-111 - [c20]Kamath S. Sowmya
A bottom-up approach towards achieving semantic web services. ICACCI 2013: 1317-1322 - 2012
- [j9]Demian Antony D'Mello
Effective web service description and dynamic discovery mechanism based on the functional semantics. Int. J. Web Sci. 1(4): 332-367 (2012) - [c19]Kavita Kumari, Melwyn D'Souza, V. S. Ananthanarayana:
Composition of Location Based Services in Decentralized Registry Based Architecture. ACITY (3) 2012: 391-400 - 2011
- [j8]Demian Antony D'Mello
Service offer driven dynamic selection mechanism for business web services. Int. J. Web Sci. 1(1/2): 114-141 (2011) - 2010
- [j7]Demian Antony D'Mello
Dynamic selection mechanism for quality of service aware web services. Enterp. Inf. Syst. 4(1): 23-60 (2010) - [c18]Preetham Kumar
Attribute -TID Method for Discovering Sequence of Attributes. ICDEM 2010: 333-340 - [c17]Demian Antony D'Mello
Dynamic Web Service Composition Based on Operation Flow Semantics. ICISTM 2010: 111-122
2000 – 2009
- 2009
- [c16]Demian Antony D'Mello
A tree structure for web service compositions. Bangalore Compute Conf. 2009: 18 - [c15]Pradhan Bagur Umesh, A. R. Bharath Kumar, V. S. Ananthanarayana:
Tree-Based Dynamic Primary Copy Algorithms for Replicated Databases. ICDCN 2009: 362-367 - [c14]Demian Antony D'Mello
A Tree Structure for Efficient Web Service Discovery. ICETET 2009: 826-831 - [c13]Demian Antony D'Mello
Quality and Business Offer Driven Selection of Web Services for Compositions. ICISTM 2009: 76-87 - 2008
- [j6]P. Santhi Thilagam
Extraction and optimization of fuzzy association rules using multi-objective genetic algorithm. Pattern Anal. Appl. 11(2): 159-168 (2008) - [c12]Demian Antony D'Mello
A QoS Broker Based Architecture for Dynamic Web Service Selection. Asia International Conference on Modelling and Simulation 2008: 101-106 - [c11]Demian Antony D'Mello
Semantic Web Service Selection Based on Business Offering. EMS 2008: 476-481 - [c10]P. Santhi Thilagam
An Abstraction Based Communication Efficient Distributed Association Rule Mining. ICDCN 2008: 251-256 - [c9]Demian Antony D'Mello
Business offer driven dynamic Web service selection. ICON 2008: 1-5 - [c8]Demian Antony D'Mello
Quality Driven Web Service Selection and Ranking. ITNG 2008: 1175-1176 - 2007
- [c7]P. R. Shreeranga, Akshat Vig, V. S. Ananth Narayana:
An Efficient Classification Algorithm Based on Pattern Range Tree Prototypes. ICIT 2007: 50-55 - [c6]P. Santhi Thilagam
Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction. ICMLA 2007: 81-86 - [c5]Radhika M. Pai
An experimental study of the effect of frequency of co-occurrence of features in clustering. ISSPA 2007: 1-4 - [c4]Radhika M. Pai, V. S. Ananthanarayana:
Prefix-Suffix Trees: A Novel Scheme for Compact Representation of Large Datasets. PReMI 2007: 316-323 - 2006
- [c3]V. S. Ananthanarayana, K. Vidyasankar:
Dynamic Primary Copy with Piggy-Backing Mechanism for Replicated UDDI Registry. ICDCIT 2006: 389-402 - 2005
- [c2]K. Vidyasankar, V. S. Ananthanarayana:
Binding and Execution of Web Service Compositions. WISE 2005: 258-272 - 2003
- [j5]D. K. Subramanian, V. S. Ananthanarayana, M. Narasimha Murty:
Knowledge-based association rule mining using AND-OR taxonomies. Knowl. Based Syst. 16(1): 37-45 (2003) - [j4]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Tree structure for efficient data mining using rough sets. Pattern Recognit. Lett. 24(6): 851-862 (2003) - 2001
- [j3]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognit. 34(4): 939-941 (2001) - [j2]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
An incremental data mining algorithm for compact realization of prototypes. Pattern Recognit. 34(11): 2249-2251 (2001) - [j1]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Efficient clustering of large data sets. Pattern Recognit. 34(12): 2561-2563 (2001) - 2000
- [c1]V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty:
Scalable, Distributed and Dynamic Mining of Association Rules. HiPC 2000: 559-566
Coauthor Index
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