Aneesh Krishna

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 80

Top Venues

Publications

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)
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)
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)
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)
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 (2024)
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) (2023)
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)
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 (2023)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna
Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation. ICONIP (5) (2023)
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)
Keya Patel, Sajib Mistry, Sai Krishna Deepak Kanneganti, Aneesh Krishna
Machine Learning as a Service (MLaaS) Selection with Incomplete QoS Information. ACIS (2023)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna
Improved Short-term Dense Bottleneck network for efficient scene analysis. Comput. Vis. Image Underst. 235 (2023)
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)
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)
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)
Joren Regan, Chaki Ramesh, Saurabh Gupta, Ankur Sharma, Duc-Son Pham, Aneesh Krishna
Semantic Segmentation for Improved Cell Nuclei Analysis. DICTA (2023)
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)
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) (2023)
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)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna
Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis. IEEE Access 11 (2023)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna
A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders. Pattern Recognit. 140 (2023)
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)
Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna
An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. OCIT (2023)
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 (2022)
Max Barker, Meg Willans, Duc-Son Pham, Aneesh Krishna, Mark J. Hackett
Explainable Detection of Microplastics Using Transformer Neural Networks. AI (2022)
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) (2022)
Aneesh Krishna
GRL goal analysis using zero-sum game theory. Intell. Decis. Technol. 16 (3) (2022)
Sreenithya Sumesh, Aneesh Krishna
Challenges and review of goal-oriented requirements engineering based competitive non-functional requirements analysis. Multiagent Grid Syst. 18 (2) (2022)
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)
Sreenithya Sumesh, Aneesh Krishna
* Goal Model. Comput. J. 65 (6) (2022)
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)
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)
Sreenithya Sumesh, Aneesh Krishna, R. Z. ITU-T
Goal-oriented requirement language model analysis using analytic hierarchy process. Multiagent Grid Syst. 18 (3-4) (2022)
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)
Yuval Berman, Sajib Mistry, Joby Mathew, Aneesh Krishna
Temporal Match Analysis and Recommending Substitutions in Live Soccer Games. ICWS (2022)
Tanmay Singha, Moritz Bergemann, Duc-Son Pham, Aneesh Krishna
SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation. DICTA (2021)
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) (2021)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna, Tom Gedeon
A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation. ICONIP (2) (2021)
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)
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 (2021)
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)
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)
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)
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 (2020)
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) (2020)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna, Joel Dunstan
Efficient Segmentation Pyramid Network. ICONIP (4) (2020)
Tanmay Singha, Duc-Son Pham, Aneesh Krishna
FANet: Feature Aggregation Network for Semantic Segmentation. DICTA (2020)
Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian
AHP based Optimal Reasoning of Non-functional Requirements in the i∗ Goal Model. ISD (2019)
Sreenithya Sumesh, Aneesh Krishna
Mixed-strategic Reasoning of the i* Goal Model. PACIS (2019)
Sreenithya Sumesh, Aneesh Krishna, Vidyasagar Potdar, Shastri L. Nimmagadda
On framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools. KES (2019)
Shastri L. Nimmagadda, Sreenithya Sumesh, Aneesh Krishna, Torsten Reiners
On Logistics Management for Prosumer Business Information System Development and Implementation. ACIS (2019)
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)
Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian
Game Theory-Based Reasoning of Opposing Non-functional Requirements using Inter-actor Dependencies. Comput. J. 62 (11) (2019)
Sreenithya Sumesh, Vidyasagar Potdar, Aneesh Krishna
Cubic reward penalty structure for power distribution companies. Int. J. Syst. Assur. Eng. Manag. 10 (3) (2019)
Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) (2019)
Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian
Optimal Reasoning of Opposing Non-functional Requirements based on Game Theory. ISD (2018)
Suneetha Uppu, Aneesh Krishna
A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise. Int. J. Medical Informatics 119 (2018)
Suneetha Uppu, Aneesh Krishna
Convolutional Model for Predicting SNP Interactions. ICONIP (5) (2018)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur
Game Theory-Based Requirements Analysis in the i* Framework. Comput. J. 61 (3) (2018)
Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) (2018)
Suneetha Uppu, Aneesh Krishna
An Intensive Search for Higher-Order Gene-Gene Interactions by Improving Deep Learning Model. BIBE (2018)
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) (2018)
Navid Memar, Aneesh Krishna, David A. McMeekin, Tele Tan
Gamifying Information System Testing-Qualitative Validation through Focus Group Discussion. ISD (2018)
Sreenithya Sumesh, Aneesh Krishna, Chitra M. Subramanian
CEA Based Reasoning with the i∗ Framework. PACIS (2018)
Suneetha Uppu, Aneesh Krishna
Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies. ICONIP (5) (2017)
Navid Memar, Aneesh Krishna, David A. McMeekin, Tele Tan
Gamification of Information System Testing - Design Consideration through Focus Group Discussion. ISD (2017)
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) (2017)
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)
Joshua Z. Goncalves, Aneesh Krishna
Incorporating Change Management Within Dynamic Requirements-Based Model-Driven Agent Development. Comput. J. 60 (7) (2017)
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) (2016)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur
Sensitivity Analysis of the i* Optimisation Model. J. Softw. 11 (1) (2016)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
A Deep Learning Approach to Detect SNP Interactions. J. Softw. 11 (10) (2016)
Billy Y. L. Li, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna
Face recognition based on Kinect. Pattern Anal. Appl. 19 (4) (2016)
Anna Marie Fortuito, Farzana Haque, Luba Shabnam, Moshiur Bhuiyan, Aneesh Krishna, P. W. Chandana Prasad
Enhancing Public Service Delivery through Organisational Modeling. CoRR (2016)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
Towards Deep Learning in genome-Wide Association Interaction studies. PACIS (2016)
Suneetha Uppu, Aneesh Krishna
Improving Strategy for Discovering Interacting Genetic Variants in Association Studies. ICONIP (1) (2016)
Billy Y. L. Li, Mingliang Xue, Ajmal S. Mian, Wanquan Liu, Aneesh Krishna
Robust RGB-D face recognition using Kinect sensor. Neurocomputing 214 (2016)
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) (2016)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur
Optimal Goal Programming of Softgoals in Goal- Oriented Requirements Engineering. PACIS (2016)
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View. J. Softw. 11 (1) (2016)
Joshua Z. Goncalves, Aneesh Krishna
Optimal Requirements-Dependent Model-Driven Agent Development. ISD (2015)
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) (2015)
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. EDOC (2015)
Viet Pham Nguyen, Each Muy Ung, Aneesh Krishna, Sonny Tham
Lossless compression of topology of 3D triangulated irregular networks. ICICS (2015)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan
Quantitative Reasoning of Goal Satisfaction in the i*Framework. SEKE (2015)
Kousik Sankar Ramasubramaniam, Ganesankumar Annamalai, Aneesh Krishna
System architecture patterns: A consumer electronics domain based proposition. ICCE-Berlin (2015)
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)
Kousik Sankar Ramasubramaniam, Ganesankumar Annamalai, Aneesh Krishna
System architecture patterns a domain-based proposition. ISCE (2015)
Anna Marie Fortuito, Moshiur Bhuiyan, Farzana Haque, Luba Shabnam, Aneesh Krishna, P. W. Chandana Prasad
Citizen's Charter Driven Service Area Improvement. APSEC (2015)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur
Optimal Reasoning of Goals in the i* Framework. APSEC (2015)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. ICONIP (1) (2015)
Amy Affleck, Aneesh Krishna, Narasimaha Achuthan
Non-Functional Requirements Framework: A Mathematical Programming Approach. Comput. J. 58 (5) (2015)
Joshua Z. Goncalves, Aneesh Krishna
Dynamic Non-functional Requirements Based Model-Driven Agent Development. ASWEC (2015)
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)
Raj P. Gopalan, Aneesh Krishna
Duplicate Bug Report Detection Using Clustering. Australian Software Engineering Conference (2014)
Luba Shabnam, Farzana Haque, Moshiur Bhuiyan, Aneesh Krishna
Risk Measure Propagation through Organisational Network. COMPSAC Workshops (2014)
Luba Shabnam, Farzana Haque, Moshiur Bhuiyan, Aneesh Krishna
Software-as-a-Service Solution Implementation - Data Migration Perspective. COMPSAC (2014)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. BIBE (2014)
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)
Animesh Dutta, Sudipta Acharya, Aneesh Krishna, Swapan Bhattacharya
Virtual Medical Board: A Distributed Bayesian Agent Based Approach (S). SEKE (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aneesh Krishna