default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAneesh Krishna
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]