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2020 – today
- 2024
[j39]Xinyu Tian
, Mahbuba Afrin, Sajib Mistry, Md. Redowan Mahmud, Aneesh Krishna, Yan Li:
MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning. Future Gener. Comput. Syst. 161: 454-466 (2024)- [c104]Pratyush Mishra, Vikram Singh, Aneesh Krishna, Lov Kumar:
An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. AINA (3) 2024: 234-244 - [c103]Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar:
Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. AINA (2) 2024: 292-302 - [c102]Md. Rakibul Hasan, Md. Zakir Hossain, Aneesh Krishna, Jessica Sharmin Rahman, Tom Gedeon:
Thesis Proposal: Detecting Empathy Using Multimodal Language Model. EACL (Student Research Workshop) 2024: 338-349 - [c101]Tumu Akshar, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Lov Kumar:
A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. ISEC 2024: 6:1-6:11 - 2023
- [j38]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis. IEEE Access 11: 66227-66244 (2023) - [j37]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
Improved Short-term Dense Bottleneck network for efficient scene analysis. Comput. Vis. Image Underst. 235: 103795 (2023) - [j36]Sreenithya Sumesh, Aneesh Krishna:
Multi-agent based coalition formation of prosumers in microgrids using the i* goal modelling. Int. J. Knowl. Based Intell. Eng. Syst. 27(1): 25-54 (2023) - [j35]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders. Pattern Recognit. 140: 109557 (2023) - [j34]Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya Ghose, Aneesh Krishna, Hoa Khanh Dam:
Egalitarian Transient Service Composition in Crowdsourced IoT Environment. IEEE Trans. Serv. Comput. 16(5): 3305-3317 (2023) - [j33]Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy Neti, Aneesh Krishna, Sanjay Misra:
Machine learning with word embedding for detecting web-services anti-patterns. J. Comput. Lang. 75: 101207 (2023) - [c100]Keya Patel, Sajib Mistry, Sai Krishna Deepak Kanneganti, Aneesh Krishna:
Machine Learning as a Service (MLaaS) Selection with Incomplete QoS Information. ACIS 2023 - [c99]Arnav Sharma, Subhanjali Sharma, Utkarsh Bhardwaj, Sajib Mistry, Novarun Deb, Aneesh Krishna:
COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. AI (1) 2023: 507-519 - [c98]Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna:
An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. OCIT 2023: 485-490 - [c97]Joren Regan, Chaki Ramesh, Saurabh Gupta, Ankur Sharma, Duc-Son Pham, Aneesh Krishna:
Semantic Segmentation for Improved Cell Nuclei Analysis. DICTA 2023: 73-80 - [c96]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni:
Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE 2023: 396-403 - [c95]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni:
Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE 2023: 453-460 - [c94]Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna:
An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. FedCSIS (Communication Papers) 2023: 181-188 - [c93]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation. ICONIP (5) 2023: 55-68 - [c92]Bathini Sai Akash, Lov Kumar, Vikram Singh, Anoop Kumar Patel, Aneesh Krishna:
Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers. ICONIP (5) 2023: 240-252 - [c91]Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. ISEC 2023: 10:1-10:7 - [c90]Anirudh A, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna:
Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. ISEC 2023: 19:1-19:5 - [c89]Helen Milner, Md. Redowan Mahmud, Mahbuba Afrin, Sashowta G. Siddhartha, Sajib Mistry, Aneesh Krishna:
On-graph Machine Learning-based Fraud Detection in Ethereum Cryptocurrency Transactions. TrustCom 2023: 1279-1285 - 2022
- [j32]Sreenithya Sumesh, Aneesh Krishna:
Sensitivity Analysis of Conflicting Goals in the i* Goal Model. Comput. J. 65(6): 1434-1460 (2022) - [j31]Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Detection of web service anti-patterns using weighted extreme learning machine. Comput. Stand. Interfaces 82: 103621 (2022) - [j30]Aneesh Krishna:
GRL goal analysis using zero-sum game theory. Intell. Decis. Technol. 16(3): 575-588 (2022) - [j29]Shailesh Hinduja, Mahbuba Afrin, Sajib Mistry, Aneesh Krishna:
Machine learning-based proactive social-sensor service for mental health monitoring using twitter data. Int. J. Inf. Manag. Data Insights 2(2): 100113 (2022) - [j28]Sreenithya Sumesh, Aneesh Krishna:
Challenges and review of goal-oriented requirements engineering based competitive non-functional requirements analysis. Multiagent Grid Syst. 18(2): 171-191 (2022) - [j27]Sreenithya Sumesh, Aneesh Krishna, R. Z. ITU-T:
Goal-oriented requirement language model analysis using analytic hierarchy process. Multiagent Grid Syst. 18(3-4): 295-316 (2022) - [c88]Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna:
COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) 2022: 69-81 - [c87]Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Software Functional and Non-function Requirement Classification Using Word-Embedding. AINA (2) 2022: 167-179 - [c86]Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. AINA (2) 2022: 243-255 - [c85]Max Barker, Meg Willans, Duc-Son Pham, Aneesh Krishna, Mark J. Hackett:
Explainable Detection of Microplastics Using Transformer Neural Networks. AI 2022: 102-115 - [c84]Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. FedCSIS 2022: 873-882 - [c83]Yuval Berman, Sajib Mistry, Joby Mathew, Aneesh Krishna:
Temporal Match Analysis and Recommending Substitutions in Live Soccer Games. ICWS 2022: 397-404 - 2021
- [j26]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
Urban street scene analysis using lightweight multi-level multi-path feature aggregation network. Multiagent Grid Syst. 17(3): 249-271 (2021) - [c82]Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. AINA (2) 2021: 120-132 - [c81]Tanmay Singha, Moritz Bergemann, Duc-Son Pham, Aneesh Krishna:
SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation. DICTA 2021: 1-8 - [c80]Tanmay Singha, Duc-Son Pham, Aneesh Krishna, Tom Gedeon:
A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation. ICONIP (2) 2021: 193-205 - [i2]Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. CoRR abs/2108.04659 (2021) - 2020
- [j25]Navid Memar, Aneesh Krishna, David A. McMeekin, Tele Tan:
Investigating Information System Testing Gamification with Time Restrictions on Testers' Performance. Australas. J. Inf. Syst. 24 (2020) - [j24]Mortaza Rezae, Nigel T. Chen, David A. McMeekin, Tele Tan, Aneesh Krishna, Hoe Lee:
The evaluation of a mobile user interface for people on the autism spectrum: An eye movement study. Int. J. Hum. Comput. Stud. 142: 102462 (2020) - [j23]Sreenithya Sumesh, Aneesh Krishna:
Hybrid analytic hierarchy process-based quantitative satisfaction propagation in goal-oriented requirements engineering through sensitivity analysis. Multiagent Grid Syst. 16(4): 433-462 (2020) - [c79]Tanmay Singha, Duc-Son Pham, Aneesh Krishna:
FANet: Feature Aggregation Network for Semantic Segmentation. DICTA 2020: 1-8 - [c78]Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. HPCC/DSS/SmartCity 2020: 559-564 - [c77]Tanmay Singha, Duc-Son Pham, Aneesh Krishna, Joel Dunstan:
Efficient Segmentation Pyramid Network. ICONIP (4) 2020: 386-393 - [c76]Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna:
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. ICONIP (5) 2020: 571-579
2010 – 2019
- 2019
- [j22]Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian:
Game Theory-Based Reasoning of Opposing Non-functional Requirements using Inter-actor Dependencies. Comput. J. 62(11): 1557-1583 (2019) - [j21]Yogit Dhakal, Moshiur Bhuiyan, P. W. C. Prasad, Aneesh Krishna:
Service delivery innovation for hospital emergency management using rich organizational modelling. Health Informatics J. 25(4) (2019) - [j20]Sreenithya Sumesh, Vidyasagar M. Potdar, Aneesh Krishna:
Cubic reward penalty structure for power distribution companies. Int. J. Syst. Assur. Eng. Manag. 10(3): 350-368 (2019) - [c75]Shastri L. Nimmagadda, Sreenithya Sumesh, Aneesh Krishna, Torsten Reiners:
On Logistics Management for Prosumer Business Information System Development and Implementation. ACIS 2019: 57 - [c74]Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) 2019: 242-250 - [c73]Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian:
AHP based Optimal Reasoning of Non-functional Requirements in the i∗ Goal Model. ISD 2019 - [c72]Sreenithya Sumesh, Aneesh Krishna, Vidyasagar M. Potdar, Shastri L. Nimmagadda:
On framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools. KES 2019: 892-901 - [c71]Sreenithya Sumesh, Aneesh Krishna:
Mixed-strategic Reasoning of the i* Goal Model. PACIS 2019: 116 - 2018
- [j19]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur:
Game Theory-Based Requirements Analysis in the i* Framework. Comput. J. 61(3): 427-446 (2018) - [j18]Suneetha Uppu, Aneesh Krishna:
A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise. Int. J. Medical Informatics 119: 134-151 (2018) - [j17]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 599-612 (2018) - [c70]Suneetha Uppu, Aneesh Krishna:
An Intensive Search for Higher-Order Gene-Gene Interactions by Improving Deep Learning Model. BIBE 2018: 104-109 - [c69]Suneetha Uppu, Aneesh Krishna:
Convolutional Model for Predicting SNP Interactions. ICONIP (5) 2018: 127-137 - [c68]Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna:
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) 2018: 150-161 - [c67]Navid Memar, Aneesh Krishna, David A. McMeekin, Tele Tan:
Gamifying Information System Testing-Qualitative Validation through Focus Group Discussion. ISD 2018 - [c66]Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian:
Optimal Reasoning of Opposing Non-functional Requirements based on Game Theory. ISD 2018 - [c65]Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian:
CEA Based Reasoning with the i∗ Framework. PACIS 2018: 174 - 2017
- [j16]Joshua Z. Goncalves, Aneesh Krishna:
Incorporating Change Management Within Dynamic Requirements-Based Model-Driven Agent Development. Comput. J. 60(7): 1044-1077 (2017) - [j15]Lov Kumar, Aneesh Krishna, Santanu Ku. Rath:
The impact of feature selection on maintainability prediction of service-oriented applications. Serv. Oriented Comput. Appl. 11(2): 137-161 (2017) - [c64]Suneetha Uppu, Aneesh Krishna:
Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies. ICONIP (5) 2017: 791-801 - [c63]Navid Memar, Aneesh Krishna, David A. McMeekin, Tele Tan:
Gamification of Information System Testing - Design Consideration through Focus Group Discussion. ISD 2017 - [c62]Rajip Raj Thapa, Moshiur Bhuiyan, Aneesh Krishna, P. W. C. Prasad:
Use of Radio Frequency Identification Technology in Reducing Overcrowding at Hospital Emergency Departments. ISD 2017 - 2016
- [j14]Billy Y. L. Li, Mingliang Xue, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna:
Robust RGB-D face recognition using Kinect sensor. Neurocomputing 214: 93-108 (2016) - [j13]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur:
Sensitivity Analysis of the i* Optimisation Model. J. Softw. 11(1): 10-26 (2016) - [j12]Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan:
Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View. J. Softw. 11(1): 80-93 (2016) - [j11]Jo Lyn Teh, Moshiur Bhuiyan, P. W. C. Prasad, Aneesh Krishna:
Risk Framework for Open Source Applications Using Agent Oriented Modelling. J. Softw. 11(9): 833-847 (2016) - [j10]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
A Deep Learning Approach to Detect SNP Interactions. J. Softw. 11(10): 965-975 (2016) - [j9]Suneetha Uppu, Aneesh Krishna:
Evaluation of associative classification-based multifactor dimensionality reduction in the presence of noise. Netw. Model. Anal. Health Informatics Bioinform. 5(1): 7 (2016) - [j8]Billy Y. L. Li, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna:
Face recognition based on Kinect. Pattern Anal. Appl. 19(4): 977-987 (2016) - [c61]Suneetha Uppu, Aneesh Krishna:
Improving Strategy for Discovering Interacting Genetic Variants in Association Studies. ICONIP (1) 2016: 461-469 - [c60]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
Towards Deep Learning in genome-Wide Association Interaction studies. PACIS 2016: 20 - [c59]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur:
Optimal Goal Programming of Softgoals in Goal- Oriented Requirements Engineering. PACIS 2016: 202 - [i1]Anna Marie Fortuito, Farzana Haque, Luba Shabnam, Moshiur Bhuiyan, Aneesh Krishna, P. W. Chandana Prasad:
Enhancing Public Service Delivery through Organisational Modeling. CoRR abs/1606.03548 (2016) - 2015
- [j7]Amy Affleck, Aneesh Krishna, Narasimaha Achuthan:
Non-Functional Requirements Framework: A Mathematical Programming Approach. Comput. J. 58(5): 1122-1139 (2015) - [j6]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
Rule-based analysis for detecting epistasis using associative classification mining. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 12 (2015) - [c58]Viet Pham Nguyen, Each Muy Ung, Aneesh Krishna, Sonny Tham:
Lossless compression of topology of 3D triangulated irregular networks. ICICS 2015: 1-5 - [c57]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur:
Optimal Reasoning of Goals in the i* Framework. APSEC 2015: 346-353 - [c56]Anna Marie Fortuito, Moshiur Bhuiyan, Farzana Haque, Luba Shabnam, Aneesh Krishna, P. W. Chandana Prasad:
Citizen's Charter Driven Service Area Improvement. APSEC 2015: 401-408 - [c55]Joshua Z. Goncalves, Aneesh Krishna:
Dynamic Non-functional Requirements Based Model-Driven Agent Development. ASWEC 2015: 128-137 - [c54]Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan:
Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. EDOC 2015: 104-111 - [c53]Kousik Sankar Ramasubramaniam, Ganesankumar Annamalai, Aneesh Krishna:
System architecture patterns: A consumer electronics domain based proposition. ICCE-Berlin 2015: 132-134 - [c52]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. ICONIP (1) 2015: 328-336 - [c51]Kousik Sankar Ramasubramaniam, Ganesankumar Annamalai, Aneesh Krishna:
System architecture patterns a domain-based proposition. ISCE 2015: 1-2 - [c50]Joshua Z. Goncalves, Aneesh Krishna:
Optimal Requirements-Dependent Model-Driven Agent Development. ISD 2015 - [c49]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur:
Reasoning about Goal Satisfaction for Early Requirements Engineering in the i* Framework using Inter-Actor Dependency. PACIS 2015: 89 - [c48]Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan:
Quantitative Reasoning of Goal Satisfaction in the i*Framework. SEKE 2015: 666-669 - 2014
- [j5]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification. Aust. J. Intell. Inf. Process. Syst. 14(1) (2014) - [j4]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna:
Robust Face Recognition by Utilizing Color Information and Sparse Representation. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [c47]Raj P. Gopalan, Aneesh Krishna:
Duplicate Bug Report Detection Using Clustering. Australian Software Engineering Conference 2014: 104-109 - [c46]Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan:
An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. BIBE 2014: 329-333 - [c45]Luba Shabnam, Farzana Haque, Moshiur Bhuiyan, Aneesh Krishna:
Risk Measure Propagation through Organisational Network. COMPSAC Workshops 2014: 217-222 - [c44]Luba Shabnam, Farzana Haque, Moshiur Bhuiyan, Aneesh Krishna:
Software-as-a-Service Solution Implementation - Data Migration Perspective. COMPSAC 2014: 612-613 - 2013
- [c43]Amy Affleck, Aneesh Krishna, Narasimaha Achuthan:
Optimal Selection of Operationalizations for Non-Functional Requirements. APCCM 2013: 69-78 - [c42]R. Kousik Sankar, Aneesh Krishna:
Customer Requirement Patterns for Software Vendors. CSE 2013: 508-514 - [c41]Animesh Dutta, Sudipta Acharya, Aneesh Krishna, Swapan Bhattacharya:
Virtual Medical Board: A Distributed Bayesian Agent Based Approach (S). SEKE 2013: 685-688 - [c40]Billy Y. L. Li, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna:
Using Kinect for face recognition under varying poses, expressions, illumination and disguise. WACV 2013: 186-192 - [e1]Sheela Ramanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna:
Multi-disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013. Proceedings. Lecture Notes in Computer Science 8271, Springer 2013, ISBN 978-3-642-44948-2 [contents] - 2012
- [j3]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna, Tianwei Xu:
Face recognition using various scales of discriminant color space transform. Neurocomputing 94: 68-76 (2012) - [c39]Billy Y. L. Li, Wanquan Liu, Senjian An, Aneesh Krishna:
Tensor based robust color face recognition. ICPR 2012: 1719-1722 - [c38]Amy Affleck, Aneesh Krishna:
Supporting quantitative reasoning of non-functional requirements: A process-oriented approach. ICSSP 2012: 88-92 - 2011
- [c37]Stuart Speidel, Justin Perrie, Aneesh Krishna, Tele Tan, John Wiese:
Vehicle simulation and interception for military command and control systems. ICICS 2011: 1-5 - [c36]Billy Y. L. Li, Senjian An, Wanquan Liu, Aneesh Krishna:
The MCF Model: Utilizing Multiple Colors for Face Recognition. ICIG 2011: 1029-1034 - [c35]Li Jiang, Armin Eberlein, Aneesh Krishna:
Analyzing Empirical Data in Requirements Engineering Techniques. ISD 2011: 357-368 - [c34]Aneesh Krishna:
A Process Oriented Approach to Model Non-Functional Requirements Proposition Extending UML. SEKE 2011: 736-739 - 2010
- [c33]Peter Oluoch Ating'a, Aneesh Krishna:
Verification of i* Models Using Alloy. ISD 2010: 63-74 - [c32]Aneesh Krishna, Andreas Gregoriades:
Extending UML with Non-functional Requirements Modelling. ISD 2010: 357-372 - [c31]Moshiur Bhuiyan, Aneesh Krishna:
Business Modeling with the Support of Multiple Notations in Requirements Engineering. PACIS 2010: 175 - [c30]Aneesh Krishna, Andreas Gregoriades, Chattrakul Sombattheera:
Quality Indicators in Requirements Elicitation. SEKE 2010: 24-27
2000 – 2009
- 2009
- [j2]Aneesh Krishna, Sergiy A. Vilkomir, Aditya K. Ghose:
Consistency preserving co-evolution of formal specifications and agent-oriented conceptual models. Inf. Softw. Technol. 51(2): 478-496 (2009) - [c29]Christopher Burgess, Aneesh Krishna:
A Process-Oriented Approach for the Optimal Satisficing of Non-Functional Requirements. ICSP 2009: 293-304 - [c28]M. M. Zahidul Islam, Moshiur Bhuiyan, Aneesh Krishna, Aditya Ghose:
An Integrated Approach to Managing Business Process Risk Using Rich Organizational Models. OTM Conferences (1) 2009: 273-285 - [c27]Christopher Burgess, Aneesh Krishna, Li Jiang:
Towards Optimising Non-functional Requirements. QSIC 2009: 269-277 - [c26]Shuai Yuan, Jun Shen, Aneesh Krishna:
Ant Inspired Scalable Peer Selection in Ontology-Based Service Composition. SERVICES II 2009: 95-102 - 2008
- [c25]Aneesh Krishna, He Lu:
Requirements Elicitation Using Goal-Based Organizational Model. Australian Software Engineering Conference 2008: 543-551 - [c24]Jun Shen, Aneesh Krishna, Shuai Yuan, Ke Cai, Yuemin Qin:
A Pragmatic GIS-Oriented Ontology for Location Based Services. Australian Software Engineering Conference 2008: 562-569 - [c23]Jun Shen, Shuai Yuan, Aneesh Krishna:
Dynamic Selection of Service Peers with Multiple Property Specifications. Business Process Management Workshops 2008: 609-620 - [c22]Aniruddha Dasgupta, Aneesh Krishna, Aditya K. Ghose:
Requirements Modeling with Agent Programming. ISD 2008: 675-683 - 2007
- [c21]Moshiur Bhuiyan, M. M. Zahidul Islam, Aneesh Krishna, Aditya Ghose:
Integration of Agent-Oriented Conceptual Models and UML Activity Diagrams Using Effect Annotations. COMPSAC (1) 2007: 171-178 - [c20]Moshiur Bhuiyan, M. M. Zahidul Islam, George Koliadis, Aneesh Krishna, Aditya Ghose:
Managing Business Process Risk Using Rich Organizational Models. COMPSAC (2) 2007: 509-520 - [c19]Aniruddha Dasgupta, Aneesh Krishna, Aditya K. Ghose:
Agent Based Executable Conceptual Models Using i* and CASO. ER Workshops 2007: 276-285 - [c18]Jun Yan, Phillip Pidgeon, Aneesh Krishna, Jianming Yong:
An agent-based decentralised process management framework for web service composition. Infoscale 2007: 24 - 2006
- [j1]Aneesh Krishna, Aditya K. Ghose, Aleksandar Vranesevic:
Agent-oriented conceptual models to UML sequence diagrams via effect annotations. Multiagent Grid Syst. 2(4): 305-323 (2006) - [c17]George Koliadis, Aleksandar Vranesevic, Moshiur Bhuiyan, Aneesh Krishna, Aditya K. Ghose:
Combining i* and BPMN for Business Process Model Lifecycle Management. Business Process Management Workshops 2006: 416-427 - [c16]Aniruddha Dasgupta, Aneesh Krishna, Aditya K. Ghose:
Co-evolution of Agent-Oriented Conceptual Models and CASO Agent Programs. IAT 2006: 686-689 - [c15]Aneesh Krishna, Ying Guan, Aditya K. Ghose:
Applying Agent-Oriented Modelling and Prototyping to Service-Oriented Systems. ICEIS (3) 2006: 246-252 - [c14]Aniruddha Dasgupta, Farzad Salim, Aneesh Krishna, Aditya K. Ghose:
Hybrid Modeling Using I* and Agentspeak(L) Agents in Agent Oriented Software Engineering. ICEIS (3) 2006: 420-425 - [c13]Aneesh Krishna, Ying Guan, Chattrakul Sombattheera, Aditya K. Ghose:
Agent-Based Prototyping of Web-Based Systems. IEA/AIE 2006: 780-789 - [c12]George Koliadis, Aleksandar Vranesevic, Moshiur Bhuiyan, Aneesh Krishna, Aditya Ghose:
Combined Approach for Supporting the Business Process Model Lifecycle. PACIS 2006: 76 - [c11]Aneesh Krishna, Ying Guan, Aditya K. Ghose:
Co-evolution of i* Models and 3APL Agents. QSIC 2006: 117-124 - [c10]Mohammad M. R. Bhuiyan, M. M. Zahidul Islam, Aneesh Krishna, Aditya K. Ghose:
Co-evolution of Agent Oriented Conceptual Models and Use Case Diagrams. QSIC 2006: 446-451 - [c9]Aneesh Krishna, Rodney J. Clarke, Aditya K. Ghose:
Genre-based approach to Requirements Elicitation. SEKE 2006: 682-687 - 2005
- [c8]Avinash Shankar, Chattrakul Sombattheera, Aneesh Krishna, Aditya K. Ghose, Philip Ogunbona:
Dynamic Coalition in Agent Aware Adhoc Virtual P2P Interconnect Grid Computing System - A3PVIGRID. ICEIS (4) 2005: 170-175 - [c7]Aneesh Krishna, Aditya K. Ghose:
Combining Agent-oriented Conceptual Modelling and the UML Sequence Diagram. SEKE 2005: 205-210 - [c6]Aneesh Krishna, Aditya K. Ghose, Sergiy A. Vilkomir:
Loosely-coupled Consistency between Agent-oriented Conceptual Models and Z Specifications. SEKE 2005: 455-460 - [c5]Farzad Salim, Chee Fon Chang, Aneesh Krishna, Aditya Ghose:
Towards Executable Specification: Combining i* and AgentSpeak(L) . SEKE 2005: 739-742 - 2004
- [c4]Sergiy A. Vilkomir, Aditya K. Ghose, Aneesh Krishna:
Combining Agent-Oriented Conceptual Modelling with Formal Methods. Australian Software Engineering Conference 2004: 147-157 - [c3]Aneesh Krishna, Sergiy A. Vilkomir, Aditya K. Ghose:
A Case Study of Combining I* Framework and the Z Notation. ICEIS (3) 2004: 192-200 - [c2]Aneesh Krishna, Aditya K. Ghose, Sergiy A. Vilkomir:
Co-Evolution of Complementary Formal and Informal Requirements. IWPSE 2004: 159-164 - 2003
- [c1]Chee Fon Chang, Aneesh Krishna, Aditya K. Ghose:
Agent-assisted Distributed Requirements Elicitation and Management. SEKE 2003: 526-533
Coauthor Index
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