A. Krishna

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Risks and Challenges of Adopting Electric Vehicles in Smart Cities

Aneesh Krishna, Vidyasagar Potdar, S. Batool, 2018 .

A neural network approach for the prediction of in vitro culture parameters for maximum biomass yields in hairy root cultures.

S. Mehrotra, O. Prakash, B. N. Mishra, 2010, Journal of theoretical biology.

A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation

Tamás D. Gedeon, Duc-Son Pham, Aneesh Krishna, 2021, ICONIP.

Clustered Prosumer Penalty Framework on Smart Grid

V. Potdar, A. Krishna, Sreenithya Sumesh, 2018 .

2012 International Conference on Software and System Process, ICSSP 2012, Zurich, Switzerland, June 2-3, 2012

Sooyong Park, Raquel M. Pillat, Liming Zhu, 2012, ICSSP.

Proceedings of the 7th International Workshop on Multi-disciplinary Trends in Artificial Intelligence - Volume 8271

Aneesh Krishna, Pawan Lingras, Sheela Ramanna, 2013 .

Experienced qualitative researchers’ views on teaching students qualitative research design

L. Roberts, A. Krishna, P. Allen, 2021, Qualitative Research in Psychology.

An agent-based decentralised process management framework for web service composition

J. Yong, Jun Yan, A. Krishna, 2007, InfoScale '07.

Genre-based approach to Requirements Elicitation

Aneesh Krishna, Aditya K. Ghose, Rodney J. Clarke, 2006, SEKE.

Combining Agent-oriented Conceptual Modelling and the UML Sequence Diagram

Aneesh Krishna, Aditya K. Ghose, A. Ghose, 2005, SEKE.

Challenges and review of goal-oriented requirements engineering based competitive non-functional requirements analysis

A. Krishna, Sreenithya Sumesh, 2022, Multiagent Grid Syst..

Evaluating the effectiveness of an autism-specific public transport app for individuals on the autism spectrum: a pilot study

Hoe C Lee, T. Tan, D. McMeekin, 2020, Disability and rehabilitation. Assistive technology.

Game Theory-Based Reasoning of Opposing Non-functional Requirements using Inter-actor Dependencies

Aneesh Krishna, Chitra M Subramanian, Sreenithya Sumesh, 2019, Comput. J..

Quantitative Reasoning of Goal Satisfaction in the i*Framework

Aneesh Krishna, Raj P. Gopalan, Chitra M. Subramanian, 2015, SEKE.

A Deep Learning Approach to Detect SNP Interactions

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan, 2016, J. Softw..

A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data

Suneetha Uppu, Raj P. Gopalan, Aneesh Krishna, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A review of machine learning and statistical approaches for detecting SNP interactions in high-dimensional genomic data.

R. Gopalan, A. Krishna, Suneetha Uppu, 2016, IEEE/ACM transactions on computational biology and bioinformatics.

Evaluation of associative classification-based multifactor dimensionality reduction in the presence of noise

Suneetha Uppu, Aneesh Krishna, A. Krishna, 2016, Network Modeling Analysis in Health Informatics and Bioinformatics.

A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise

Suneetha Uppu, Aneesh Krishna, A. Krishna, 2018, Int. J. Medical Informatics.

[Regular Paper] An Intensive Search for Higher-Order Gene-Gene Interactions by Improving Deep Learning Model

Suneetha Uppu, Aneesh Krishna, A. Krishna, 2018, 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE).

Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies

Suneetha Uppu, Aneesh Krishna, A. Krishna, 2017, ICONIP.

An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Machine learning with word embedding for detecting web-services anti-patterns

S. Misra, A. Krishna, L. Kumar, 2023, Journal of Computer Languages.

Efficient Segmentation Pyramid Network

Duc-Son Pham, Aneesh Krishna, Tanmay Singha, 2020, ICONIP.

SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation

Duc-Son Pham, Aneesh Krishna, Tanmay Singha, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Analyzing Empirical Data in Requirements Engineering Techniques

Aneesh Krishna, Armin Eberlein, Li Jiang, 2011, ISD.

Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE

Lalita Bhanu Murthy Neti, Pavan Kumar Reddy Yannam, A. Krishna, 2022, AINA.

Game Theory-Based Requirements Analysis in the i* Framework

Aneesh Krishna, Chitra M. Subramanian, Arshinder Kaur, 2018, Comput. J..

Towards Optimising Non-functional Requirements

Aneesh Krishna, Li Jiang, Christopher Burgess, 2009, 2009 Ninth International Conference on Quality Software.

A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan, 2015, ICONIP.

Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level

Shashank Mouli Satapathy, Aneesh Krishna, Lov Kumar, 2018, ICONIP.

Robust RGB-D face recognition using Kinect sensor

Ajmal S. Mian, Aneesh Krishna, Wanquan Liu, 2016, Neurocomputing.

Detection of web service anti-patterns using weighted extreme learning machine

Lalita Bhanu Murthy Neti, A. Krishna, L. Kumar, 2022, Comput. Stand. Interfaces.

The evaluation of a mobile user interface for people on the autism spectrum: An eye movement study

Tele Tan, David A. McMeekin, Aneesh Krishna, 2020, Int. J. Hum. Comput. Stud..

An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models pdf

Aneesh Krishna, Lov Kumar, Lalita Bhanu Murthy Neti, 2021, AINA.

A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics

Lalita Bhanu Murthy Neti, A. Krishna, L. Kumar, 2023, ISEC.

A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders

Duc-Son Pham, A. Krishna, Tanmay Singha, 2023, Pattern Recognit..

Convolutional Model for Predicting SNP Interactions

Suneetha Uppu, Aneesh Krishna, A. Krishna, 2018, ICONIP.

Rule-based analysis for detecting epistasis using associative classification mining

R. Gopalan, A. Krishna, Suneetha Uppu, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Towards Deep Learning in genome-Wide Association Interaction studies

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan, 2016, PACIS.

Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan, 2014, Aust. J. Intell. Inf. Process. Syst..

Incorporating Change Management Within Dynamic Requirements-Based Model-Driven Agent Development

Aneesh Krishna, Joshua Z. Goncalves, A. Krishna, 2016, Comput. J..

Practical methodologies for agent-oriented conceptual modelling

A. Krishna, A. Krishna, 2006 .

Machine learning-based proactive social-sensor service for mental health monitoring using twitter data

Sajib Mistry, A. Krishna, Shailesh Hinduja, 2022, Int. J. Inf. Manag. Data Insights.

Using Kinect for face recognition under varying poses, expressions, illumination and disguise

Ajmal S. Mian, Aneesh Krishna, Wanquan Liu, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Duplicate Bug Report Detection Using Clustering

Aneesh Krishna, Raj P. Gopalan, R. Gopalan, 2014, 2014 23rd Australian Software Engineering Conference.

Multi-agent based coalition formation of prosumers in microgrids using the i* goal modelling

A. Krishna, Sreenithya Sumesh, 2023, International Journal of Knowledge-based and Intelligent Engineering Systems.

Goal-oriented requirement language model analysis using analytic hierarchy process

A. Krishna, Sreenithya Sumesh, R.Z. ITU-T, 2023, Multiagent Grid Syst..

GRL goal analysis using zero-sum game theory

A. Krishna, 2022, International Journal of Intelligent Decision Technologies.

Sensitivity Analysis of Conflicting Goals in the i* Goal Model

Aneesh Krishna, Sreenithya Sumesh, A. Krishna, 2021, Comput. J..

Hybrid analytic hierarchy process-based quantitative satisfaction propagation in goal-oriented requirements engineering through sensitivity analysis

Aneesh Krishna, Sreenithya Sumesh, A. Krishna, 2020, Multiagent Grid Syst..

Mixed-strategic Reasoning of the i* Goal Model

Aneesh Krishna, Sreenithya Sumesh, A. Krishna, 2019, PACIS.

CEA Based Reasoning with the i∗ Framework

Aneesh Krishna, Chitra M. Subramanian, Sreenithya Sumesh, 2018, PACIS.

Robust Face Recognition by Utilizing Color Information and Sparse Representation

Aneesh Krishna, Wanquan Liu, Senjian An, 2014, Int. J. Pattern Recognit. Artif. Intell..

Non-Functional Requirements Framework: A Mathematical Programming Approach

Aneesh Krishna, N. R. Achuthan, Amy Affleck, 2015, Comput. J..

Requirements analysis in transactive energy management

Aneesh Krishna, Sreenithya Sumesh, Chitra M Subramanian, 2019, Variability, Scalability and Stability of Microgrids.

On framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools

Aneesh Krishna, Vidyasagar Potdar, Sreenithya Sumesh, 2019, KES.

Optimal Reasoning of Goals in the i* Framework

Aneesh Krishna, Chitra M. Subramanian, Arshinder Kaur, 2015, 2015 Asia-Pacific Software Engineering Conference (APSEC).

Optimal Selection of Operationalizations for Non-Functional Requirements

Aneesh Krishna, N. R. Achuthan, Amy Affleck, 2013, APCCM.

Supporting quantitative reasoning of non-functional requirements: A process-oriented approach

Aneesh Krishna, Amy Affleck, A. Krishna, 2012, 2012 International Conference on Software and System Process (ICSSP).

Combining agent-oriented conceptual modelling with formal methods

Aneesh Krishna, Aditya K. Ghose, Sergiy A. Vilkomir, 2004, 2004 Australian Software Engineering Conference. Proceedings..

Optimal Goal Programming of Softgoals in Goal- Oriented Requirements Engineering

Aneesh Krishna, Chitra M. Subramanian, Arshinder Kaur, 2016, PACIS.

Reasoning about Goal Satisfaction for Early Requirements Engineering in the i* Framework using Inter-Actor Dependency

Aneesh Krishna, Chitra M. Subramanian, Arshinder Kaur, 2015, PACIS.

Towards Ontology-Based MAS Methodologies: Ontology-Based Early Requirements

Ghassan Beydoun, Graham C. Low, A. Ghose, 2007, ISD.

Customer Requirement Patterns for Software Vendors

Aneesh Krishna, R. Kousik Sankar, A. Krishna, 2013, 2013 IEEE 16th International Conference on Computational Science and Engineering.

Consistency preserving co-evolution of formal specifications and agent-oriented conceptual models

Aneesh Krishna, Aditya K. Ghose, Sergiy A. Vilkomir, 2009, Inf. Softw. Technol..

Agent-oriented conceptual models to UML sequence diagrams via effect annotations

Aneesh Krishna, Aditya K. Ghose, Aleksandar Vranesevic, 2006, Multiagent Grid Syst..

Egalitarian Transient Service Composition in Crowdsourced IoT Environment

Sajib Mistry, A. Ghose, A. Krishna, 2023, IEEE Transactions on Services Computing.

An intelligent system to enhance traffic safety analysis

Aneesh Krishna, Andreas Gregoriades, Natalia Ruiz-Juri, 2011 .

Dynamic Selection of Service Peers with Multiple Property Specifications

Aneesh Krishna, Jun Shen, Shuai Yuan, 2008, Business Process Management Workshops.

Co-evolution of Agent Oriented Conceptual Models and Use Case Diagrams

A. Ghose, A. Krishna, Moshiur Bhuiyan, 2006, 2006 Sixth International Conference on Quality Software (QSIC'06).

Dynamic Non-functional Requirements Based Model-Driven Agent Development

Aneesh Krishna, Joshua Z. Goncalves, A. Krishna, 2015, 2015 24th Australasian Software Engineering Conference.

Agent Based Executable Conceptual Models Using i* and CASO

Aneesh Krishna, Aditya K. Ghose, Aniruddha Dasgupta, 2007, ER Workshops.

Optimal Requirements-Dependent Model-Driven Agent Development

Aneesh Krishna, Joshua Z. Goncalves, A. Krishna, 2015, ISD.

Requirements Modeling with Agent Programming

Aneesh Krishna, Aditya K. Ghose, Aniruddha Dasgupta, 2008, ISD.

Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View

Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan, 2016, J. Softw..

Investigating Information System Testing Gamification with Time Restrictions on Testers' Performance

Tele Tan, David A. McMeekin, Aneesh Krishna, 2020, Australas. J. Inf. Syst..

Co-evolution of Agent-Oriented Conceptual Models and CASO Agent Programs

Aneesh Krishna, Aditya K. Ghose, Aniruddha Dasgupta, 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.