Agent-assisted Distributed Requirements Elicitation and Management. - Chee Fon Chang; Aneesh Krishna; Aditya K. Ghose (SEKE, 2003)

Combining Agent-Oriented Conceptual Modelling with Formal Methods. - Sergiy A. Vilkomir; Aditya K. Ghose; Aneesh Krishna (Australian Software Engineering Conference, 2004)

A Case Study of Combining I* Framework and the Z Notation. - Aneesh Krishna; Sergiy A. Vilkomir; Aditya K. Ghose (ICEIS (3), 2004)

Co-Evolution of Complementary Formal and Informal Requirements. - Aneesh Krishna; Aditya K. Ghose; Sergiy A. Vilkomir (IWPSE, 2004)

Dynamic Coalition in Agent Aware Adhoc Virtual P2P Interconnect Grid Computing System - A3PVIGRID. - Avinash Shankar; Chattrakul Sombattheera; Aneesh Krishna; Aditya K. Ghose; Philip Ogunbona (ICEIS (4), 2005)

Combining Agent-oriented Conceptual Modelling and the UML Sequence Diagram. - Aneesh Krishna; Aditya K. Ghose (SEKE, 2005)

Loosely-coupled Consistency between Agent-oriented Conceptual Models and Z Specifications. - Aneesh Krishna; Aditya K. Ghose; Sergiy A. Vilkomir (SEKE, 2005)

Towards Executable Specification: Combining i* and AgentSpeak(L) . - Farzad Salim; Chee Fon Chang; Aneesh Krishna; Aditya Ghose (SEKE, 2005)

Combining i* and BPMN for Business Process Model Lifecycle Management. - George Koliadis; Aleksandar Vranesevic; Moshiur Bhuiyan; Aneesh Krishna; Aditya K. Ghose (Business Process Management Workshops, 2006)

Co-evolution of Agent-Oriented Conceptual Models and CASO Agent Programs. - Aniruddha Dasgupta; Aneesh Krishna; Aditya K. Ghose (IAT, 2006)

Hybrid Modeling Using I* and Agentspeak(L) Agents in Agent Oriented Software Engineering. - Aniruddha Dasgupta; Farzad Salim; Aneesh Krishna; Aditya K. Ghose (ICEIS (3), 2006)

Applying Agent-Oriented Modelling and Prototyping to Service-Oriented Systems. - Aneesh Krishna; Ying Guan; Aditya K. Ghose (ICEIS (3), 2006)

Agent-Based Prototyping of Web-Based Systems. - Aneesh Krishna; Ying Guan; Chattrakul Sombattheera; Aditya K. Ghose (IEA/AIE, 2006)

Combined Approach for Supporting the Business Process Model Lifecycle. - George Koliadis; Aleksandar Vranesevic; Moshiur Bhuiyan; Aneesh Krishna; Aditya Ghose (PACIS, 2006)

Co-evolution of Agent Oriented Conceptual Models and Use Case Diagrams. - Mohammad M. R. Bhuiyan; M. M. Zahidul Islam; Aneesh Krishna; Aditya K. Ghose (QSIC, 2006)

Co-evolution of i* Models and 3APL Agents. - Aneesh Krishna; Ying Guan; Aditya K. Ghose (QSIC, 2006)

Genre-based approach to Requirements Elicitation. - Aneesh Krishna; Rodney J. Clarke; Aditya K. Ghose (SEKE, 2006)

Agent-oriented conceptual models to UML sequence diagrams via effect annotations. - Aneesh Krishna; Aditya K. Ghose; Aleksandar Vranesevic (Multiagent Grid Syst., 2006)

Integration of Agent-Oriented Conceptual Models and UML Activity Diagrams Using Effect Annotations. - Moshiur Bhuiyan; M. M. Zahidul Islam; Aneesh Krishna; Aditya Ghose (COMPSAC (1), 2007)

Managing Business Process Risk Using Rich Organizational Models. - Moshiur Bhuiyan; M. M. Zahidul Islam; George Koliadis; Aneesh Krishna; Aditya Ghose (COMPSAC (2), 2007)

Agent Based Executable Conceptual Models Using i* and CASO. - Aniruddha Dasgupta; Aneesh Krishna; Aditya K. Ghose (ER Workshops, 2007)

An agent-based decentralised process management framework for web service composition. - Jun Yan 005; Phillip Pidgeon; Aneesh Krishna; Jianming Yong (Infoscale, 2007)

Requirements Elicitation Using Goal-Based Organizational Model. - Aneesh Krishna; He Lu (Australian Software Engineering Conference, 2008)

A Pragmatic GIS-Oriented Ontology for Location Based Services. - Jun Shen 001; Aneesh Krishna; Shuai Yuan 004; Ke Cai; Yuemin Qin (Australian Software Engineering Conference, 2008)

Dynamic Selection of Service Peers with Multiple Property Specifications. - Jun Shen 001; Shuai Yuan 004; Aneesh Krishna (Business Process Management Workshops, 2008)

Requirements Modeling with Agent Programming. - Aniruddha Dasgupta; Aneesh Krishna; Aditya K. Ghose (ISD, 2008)

A Process-Oriented Approach for the Optimal Satisficing of Non-Functional Requirements. - Christopher Burgess 001; Aneesh Krishna (ICSP, 2009)

An Integrated Approach to Managing Business Process Risk Using Rich Organizational Models. - M. M. Zahidul Islam; Moshiur Bhuiyan; Aneesh Krishna; Aditya Ghose (OTM Conferences (1), 2009)

Towards Optimising Non-functional Requirements. - Christopher Burgess 001; Aneesh Krishna; Li Jiang 006 (QSIC, 2009)

Ant Inspired Scalable Peer Selection in Ontology-Based Service Composition. - Shuai Yuan 004; Jun Shen 001; Aneesh Krishna (SERVICES II, 2009)

Consistency preserving co-evolution of formal specifications and agent-oriented conceptual models. - Aneesh Krishna; Sergiy A. Vilkomir; Aditya K. Ghose (Inf. Softw. Technol., 2009)

Verification of i* Models Using Alloy. - Peter Oluoch Ating'a; Aneesh Krishna (ISD, 2010)

Extending UML with Non-functional Requirements Modelling. - Aneesh Krishna; Andreas Gregoriades (ISD, 2010)

Business Modeling with the Support of Multiple Notations in Requirements Engineering. - Moshiur Bhuiyan; Aneesh Krishna (PACIS, 2010)

Quality Indicators in Requirements Elicitation. - Aneesh Krishna; Andreas Gregoriades; Chattrakul Sombattheera (SEKE, 2010)

Vehicle simulation and interception for military command and control systems. - Stuart Speidel; Justin Perrie; Aneesh Krishna; Tele Tan; John Wiese (ICICS, 2011)

The MCF Model: Utilizing Multiple Colors for Face Recognition. - Billy Y. L. Li; Senjian An; Wanquan Liu; Aneesh Krishna (ICIG, 2011)

Analyzing Empirical Data in Requirements Engineering Techniques. - Li Jiang 006; Armin Eberlein; Aneesh Krishna (ISD, 2011)

A Process Oriented Approach to Model Non-Functional Requirements Proposition Extending UML. - Aneesh Krishna (SEKE, 2011)

Tensor based robust color face recognition. - Billy Y. L. Li; Wanquan Liu; Senjian An; Aneesh Krishna (ICPR, 2012)

Supporting quantitative reasoning of non-functional requirements: A process-oriented approach. - Amy Affleck; Aneesh Krishna (ICSSP, 2012)

Face recognition using various scales of discriminant color space transform. - Billy Y. L. Li; Wanquan Liu; Senjian An; Aneesh Krishna; Tianwei Xu (Neurocomputing, 2012)

Optimal Selection of Operationalizations for Non-Functional Requirements. - Amy Affleck; Aneesh Krishna; Narasimaha Achuthan (APCCM, 2013)

Customer Requirement Patterns for Software Vendors. - R. Kousik Sankar; Aneesh Krishna (CSE, 2013)

Virtual Medical Board: A Distributed Bayesian Agent Based Approach (S). - Animesh Dutta; Sudipta Acharya; Aneesh Krishna; Swapan Bhattacharya (SEKE, 2013)

Using Kinect for face recognition under varying poses, expressions, illumination and disguise. - Billy Y. L. Li; Ajmal S. Mian; Wanquan Liu; Aneesh Krishna (WACV, 2013)

Duplicate Bug Report Detection Using Clustering. - Raj P. Gopalan; Aneesh Krishna (Australian Software Engineering Conference, 2014)

An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (BIBE, 2014)

Software-as-a-Service Solution Implementation - Data Migration Perspective. - Luba Shabnam; Farzana Haque; Moshiur Bhuiyan; Aneesh Krishna (COMPSAC, 2014)

Risk Measure Propagation through Organisational Network. - Luba Shabnam; Farzana Haque; Moshiur Bhuiyan; Aneesh Krishna (COMPSAC Workshops, 2014)

Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (Aust. J. Intell. Inf. Process. Syst., 2014)

Robust Face Recognition by Utilizing Color Information and Sparse Representation. - Billy Y. L. Li; Wanquan Liu; Senjian An; Aneesh Krishna (Int. J. Pattern Recognit. Artif. Intell., 2014)

Lossless compression of topology of 3D triangulated irregular networks. - Viet Pham Nguyen; Each Muy Ung; Aneesh Krishna; Sonny Tham (ICICS, 2015)

Citizen's Charter Driven Service Area Improvement. - Anna Marie Fortuito; Moshiur Bhuiyan; Farzana Haque; Luba Shabnam; Aneesh Krishna; P. W. Chandana Prasad (APSEC, 2015)

Optimal Reasoning of Goals in the i* Framework. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur (APSEC, 2015)

Dynamic Non-functional Requirements Based Model-Driven Agent Development. - Joshua Z. Goncalves; Aneesh Krishna (ASWEC, 2015)

Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. - Tomohiro Inoue; Aneesh Krishna; Raj P. Gopalan (EDOC, 2015)

System architecture patterns: A consumer electronics domain based proposition. - Kousik Sankar Ramasubramaniam; Ganesankumar Annamalai; Aneesh Krishna (ICCE-Berlin, 2015)

A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (ICONIP (1), 2015)

System architecture patterns a domain-based proposition. - Kousik Sankar Ramasubramaniam; Ganesankumar Annamalai; Aneesh Krishna (ISCE, 2015)

Optimal Requirements-Dependent Model-Driven Agent Development. - Joshua Z. Goncalves; Aneesh Krishna (ISD, 2015)

Reasoning about Goal Satisfaction for Early Requirements Engineering in the i* Framework using Inter-Actor Dependency. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur (PACIS, 2015)

Quantitative Reasoning of Goal Satisfaction in the i*Framework. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur; Raj P. Gopalan (SEKE, 2015)

Non-Functional Requirements Framework: A Mathematical Programming Approach. - Amy Affleck; Aneesh Krishna; Narasimaha Achuthan (Comput. J., 2015)

Rule-based analysis for detecting epistasis using associative classification mining. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Improving Strategy for Discovering Interacting Genetic Variants in Association Studies. - Suneetha Uppu; Aneesh Krishna (ICONIP (1), 2016)

Optimal Goal Programming of Softgoals in Goal- Oriented Requirements Engineering. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur (PACIS, 2016)

Towards Deep Learning in genome-Wide Association Interaction studies. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (PACIS, 2016)

Enhancing Public Service Delivery through Organisational Modeling. - Anna Marie Fortuito; Farzana Haque; Luba Shabnam; Moshiur Bhuiyan; Aneesh Krishna; P. W. Chandana Prasad (CoRR, 2016)

Robust RGB-D face recognition using Kinect sensor. - Billy Y. L. Li; Mingliang Xue; Ajmal S. Mian; Wanquan Liu; Aneesh Krishna (Neurocomputing, 2016)

Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View. - Tomohiro Inoue; Aneesh Krishna; Raj P. Gopalan (J. Softw., 2016)

Sensitivity Analysis of the i* Optimisation Model. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur (J. Softw., 2016)

Risk Framework for Open Source Applications Using Agent Oriented Modelling. - Jo Lyn Teh; Moshiur Bhuiyan; P. W. C. Prasad; Aneesh Krishna (J. Softw., 2016)

A Deep Learning Approach to Detect SNP Interactions. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (J. Softw., 2016)

Evaluation of associative classification-based multifactor dimensionality reduction in the presence of noise. - Suneetha Uppu; Aneesh Krishna (Netw. Model. Anal. Health Informatics Bioinform., 2016)

Face recognition based on Kinect. - Billy Y. L. Li; Ajmal S. Mian; Wanquan Liu; Aneesh Krishna (Pattern Anal. Appl., 2016)

Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies. - Suneetha Uppu; Aneesh Krishna (ICONIP (5), 2017)

Gamification of Information System Testing - Design Consideration through Focus Group Discussion. - Navid Memar; Aneesh Krishna; David A. McMeekin; Tele Tan (ISD, 2017)

Use of Radio Frequency Identification Technology in Reducing Overcrowding at Hospital Emergency Departments. - Rajip Raj Thapa; Moshiur Bhuiyan; Aneesh Krishna; P. W. C. Prasad (ISD, 2017)

Incorporating Change Management Within Dynamic Requirements-Based Model-Driven Agent Development. - Joshua Z. Goncalves; Aneesh Krishna (Comput. J., 2017)

The impact of feature selection on maintainability prediction of service-oriented applications. - Lov Kumar; Aneesh Krishna; Santanu Ku. Rath (Serv. Oriented Comput. Appl., 2017)

An Intensive Search for Higher-Order Gene-Gene Interactions by Improving Deep Learning Model. - Suneetha Uppu; Aneesh Krishna (BIBE, 2018)

Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. - Lov Kumar; Shashank Mouli Satapathy; Aneesh Krishna (ICONIP (5), 2018)

Convolutional Model for Predicting SNP Interactions. - Suneetha Uppu; Aneesh Krishna (ICONIP (5), 2018)

Gamifying Information System Testing-Qualitative Validation through Focus Group Discussion. - Navid Memar; Aneesh Krishna; David A. McMeekin; Tele Tan (ISD, 2018)

Optimal Reasoning of Opposing Non-functional Requirements based on Game Theory. - Sreenithya Sumesh; Aneesh Krishna; Chitra M. Subramanian (ISD, 2018)

CEA Based Reasoning with the i∗ Framework. - Sreenithya Sumesh; Aneesh Krishna; Chitra M. Subramanian (PACIS, 2018)

Game Theory-Based Requirements Analysis in the i* Framework. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur (Comput. J., 2018)

A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise. - Suneetha Uppu; Aneesh Krishna (Int. J. Medical Informatics, 2018)

A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

On Logistics Management for Prosumer Business Information System Development and Implementation. - Shastri L. Nimmagadda; Sreenithya Sumesh; Aneesh Krishna; Torsten Reiners (ACIS, 2019)

Prediction of Refactoring-Prone Classes Using Ensemble Learning. - Vamsi Krishna Aribandi; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (ICONIP (5), 2019)

AHP based Optimal Reasoning of Non-functional Requirements in the i∗ Goal Model. - Sreenithya Sumesh; Aneesh Krishna; Chitra M. Subramanian (ISD, 2019)

On framework development for the dynamic prosumer coalition in a smart grid and its evaluation by analytic tools. - Sreenithya Sumesh; Aneesh Krishna; Vidyasagar M. Potdar; Shastri L. Nimmagadda (KES, 2019)

Mixed-strategic Reasoning of the i* Goal Model. - Sreenithya Sumesh; Aneesh Krishna (PACIS, 2019)

Game Theory-Based Reasoning of Opposing Non-functional Requirements using Inter-actor Dependencies. - Sreenithya Sumesh; Aneesh Krishna; Chitra M. Subramanian (Comput. J., 2019)

Service delivery innovation for hospital emergency management using rich organizational modelling. - Yogit Dhakal; Moshiur Bhuiyan; P. W. C. Prasad; Aneesh Krishna (Health Informatics J., 2019)

Cubic reward penalty structure for power distribution companies. - Sreenithya Sumesh; Vidyasagar M. Potdar; Aneesh Krishna (Int. J. Syst. Assur. Eng. Manag., 2019)

FANet: Feature Aggregation Network for Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2020)

An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (HPCC/DSS/SmartCity, 2020)

Efficient Segmentation Pyramid Network. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna; Joel Dunstan (ICONIP (4), 2020)

Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. - Sahithi Tummalapalli; Lov Kumar; N. L. Bhanu Murthy; Aneesh Krishna (ICONIP (5), 2020)

Investigating Information System Testing Gamification with Time Restrictions on Testers' Performance. - Navid Memar; Aneesh Krishna; David A. McMeekin; Tele Tan (Australas. J. Inf. Syst., 2020)

The evaluation of a mobile user interface for people on the autism spectrum: An eye movement study. - Mortaza Rezae; Nigel T. Chen; David A. McMeekin; Tele Tan; Aneesh Krishna; Hoe Lee (Int. J. Hum. Comput. Stud., 2020)

Hybrid analytic hierarchy process-based quantitative satisfaction propagation in goal-oriented requirements engineering through sensitivity analysis. - Sreenithya Sumesh; Aneesh Krishna (Multiagent Grid Syst., 2020)

An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. - Himanshu Gupta; Tanmay Girish Kulkarni; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (AINA (2), 2021)

SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation. - Tanmay Singha; Moritz Bergemann; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2021)

A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna; Tom Gedeon (ICONIP (2), 2021)

Urban street scene analysis using lightweight multi-level multi-path feature aggregation network. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Multiagent Grid Syst., 2021)

Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. - Bathini Sai Akash; Pavan Kumar Reddy Yannam; Bokkasam Venkata Sai Ruthvik; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (AINA (2), 2022)

Software Functional and Non-function Requirement Classification Using Word-Embedding. - Lov Kumar; Siddarth Baldwa; Shreya Manish Jambavalikar; Lalita Bhanu Murthy Neti; Aneesh Krishna (AINA (2), 2022)

COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. - Sanidhya Vijayvargiya; Lov Kumar; Aruna Malapati; Lalita Bhanu Murthy Neti; Aneesh Krishna (AINA (3), 2022)

Explainable Detection of Microplastics Using Transformer Neural Networks. - Max Barker; Meg Willans; Duc-Son Pham 001; Aneesh Krishna; Mark J. Hackett (AI, 2022)

Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. - Venkata Krishna Chandra Mula; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (FedCSIS, 2022)

Temporal Match Analysis and Recommending Substitutions in Live Soccer Games. - Yuval Berman; Sajib Mistry; Joby Mathew; Aneesh Krishna (ICWS, 2022)

Sensitivity Analysis of Conflicting Goals in the i* Goal Model. - Sreenithya Sumesh; Aneesh Krishna (Comput. J., 2022)

Detection of web service anti-patterns using weighted extreme learning machine. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (Comput. Stand. Interfaces, 2022)

GRL goal analysis using zero-sum game theory. - Aneesh Krishna (Intell. Decis. Technol., 2022)

Machine learning-based proactive social-sensor service for mental health monitoring using twitter data. - Shailesh Hinduja; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (Int. J. Inf. Manag. Data Insights, 2022)

Challenges and review of goal-oriented requirements engineering based competitive non-functional requirements analysis. - Sreenithya Sumesh; Aneesh Krishna (Multiagent Grid Syst., 2022)

Goal-oriented requirement language model analysis using analytic hierarchy process. - Sreenithya Sumesh; Aneesh Krishna; R. Z. ITU-T (Multiagent Grid Syst., 2022)

Machine Learning as a Service (MLaaS) Selection with Incomplete QoS Information. - Keya Patel; Sajib Mistry; Sai Krishna Deepak Kanneganti; Aneesh Krishna (ACIS, 2023)

COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. - Arnav Sharma; Subhanjali Sharma; Utkarsh Bhardwaj; Sajib Mistry; Novarun Deb; Aneesh Krishna (AI (1), 2023)

An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. - Vikram Singh 005; Lov Kumar; Anoop Kumar Patel; Aneesh Krishna (OCIT, 2023)

Semantic Segmentation for Improved Cell Nuclei Analysis. - Joren Regan; Chaki Ramesh; Saurabh Gupta; Ankur Sharma; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2023)

Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. - Sanidhya Vijayvargiya; Lov Kumar; Lalita Bhanu Murthy Neti; Sanjay Misra; Aneesh Krishna; Srinivas Padmanabhuni (ENASE, 2023)

Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. - Sanidhya Vijayvargiya; Lov Kumar; Lalita Bhanu Murthy Neti; Sanjay Misra; Aneesh Krishna; Srinivas Padmanabhuni (ENASE, 2023)

An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. - Lov Kumar; Vikram Singh 005; Lalita Bhanu Murthy Neti; Sanjay Misra; Aneesh Krishna (FedCSIS (Communication Papers), 2023)

Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers. - Bathini Sai Akash; Lov Kumar; Vikram Singh 005; Anoop Kumar Patel; Aneesh Krishna (ICONIP (5), 2023)

Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (ICONIP (5), 2023)

Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. - Anirudh A; Lov Kumar; N. L. Bhanu Murthy; Aneesh Krishna (ISEC, 2023)

A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (ISEC, 2023)

Adaptive QoS-Aware Task Offloading in Dynamic Mobile Edge Computing Environment. - Jacob Don; Sajib Mistry; Md. Redowan Mahmud; Aneesh Krishna (MobiQuitous (2), 2023)

On-graph Machine Learning-based Fraud Detection in Ethereum Cryptocurrency Transactions. - Helen Milner; Md. Redowan Mahmud; Mahbuba Afrin; Sashowta G. Siddhartha; Sajib Mistry; Aneesh Krishna (TrustCom, 2023)

Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (IEEE Access, 2023)

Egalitarian Transient Service Composition in Crowdsourced IoT Environment. - Swasti Khurana; Novarun Deb; Sajib Mistry; Aditya Ghose; Aneesh Krishna; Hoa Khanh Dam (IEEE Trans. Serv. Comput., 2023)

Machine learning with word embedding for detecting web-services anti-patterns. - Lov Kumar; Sahithi Tummalapalli; Sonika Chandrakant Rathi; Lalita Bhanu Murthy Neti; Aneesh Krishna; Sanjay Misra (J. Comput. Lang., 2023)

Multi-agent based coalition formation of prosumers in microgrids using the i* goal modelling. - Sreenithya Sumesh; Aneesh Krishna (Int. J. Knowl. Based Intell. Eng. Syst., 2023)

A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Pattern Recognit., 2023)

Improved Short-term Dense Bottleneck network for efficient scene analysis. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Comput. Vis. Image Underst., 2023)

Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. - Bathini Sai Akash; Vikram Singh 005; Aneesh Krishna; Lalita Bhanu Murthy Neti; Lov Kumar (AINA (2), 2024)

An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. - Pratyush Mishra; Vikram Singh 005; Aneesh Krishna; Lov Kumar (AINA (3), 2024)

Domain Adversarial SegFormer. - Moritz Bergemann; Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2024)

Thesis Proposal: Detecting Empathy Using Multimodal Language Model. - Md. Rakibul Hasan 001; Md. Zakir Hossain; Aneesh Krishna; Jessica Sharmin Rahman; Tom Gedeon (EACL (Student Research Workshop), 2024)

MedSiML: A Multilingual Approach for Simplifying Medical Texts. - Hardik A. Jain; Chirayu Patel; Riyasatali Umatiya; Sajib Mistry; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation. - Deepak Kanneganti; Sajib Mistry; Sumedha Rajakaruna; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. - Tumu Akshar; Vikram Singh 005; N. L. Bhanu Murthy; Aneesh Krishna; Lov Kumar (ISEC, 2024)

Context-Aware Selection of Machine Learning as a Service (MLaaS) in IoT Environments. - Keya Patel; Sajib Mistry; Deepak Kanneganti; Aneesh Krishna (WISE (PhD Symposium, Demos and Workshops), 2024)

MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning. - Xinyu Tian; Mahbuba Afrin; Sajib Mistry; Md. Redowan Mahmud; Aneesh Krishna; Yan Li 002 (Future Gener. Comput. Syst., 2024)

An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron. - Pratham Maan; Lov Kumar; Vikram Singh 005; Lalita Bhanu Murthy Neti; Aneesh Krishna (ENASE, 2025)

TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation. - Lei Wang 108; Md. Zakir Hossain; Syed M. S. Islam; Tom Gedeon; Sharifa Alghowinem; Isabella Yu; Serena Bono; Xuanying Zhu; Gennie Nguyen; Nur Al Hasan Haldar; Seyed Mohammad Jafar Jalali; Md. Abdur Razzaque; et al. (WWW (Companion Volume), 2025)

Personalised News Summarisation Using Demographic-aware BART Model. - Daniel M. McFadyen; Md. Redowan Mahmud; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (WWW (Companion Volume), 2025)

Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing. - Minod Perera; Sheik Mohammad Mostakim Fattah; Sajib Mistry; Aneesh Krishna (WWW (Companion Volume), 2025)

MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics. - Lov Kumar; Vikram Singh 005; N. L. Bhanu Murthy; Aneesh Krishna; Sanjay Misra (J. Comput. Lang., 2025)

Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro. - Md. Rakibul Hasan 001; Yue Yao; Md. Zakir Hossain; Aneesh Krishna; Imre J. Rudas; Shafin Rahman; Tom Gedeon (CoRR, 2025)

Tabular foundation model to detect empathy from visual cues. - Md. Rakibul Hasan 001; Shafin Rahman; Md. Zakir Hossain; Aneesh Krishna; Tom Gedeon (CoRR, 2025)

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments. - Deepak Kanneganti; Sajib Mistry; Sheik Mohammad Mostakim Fattah; Aneesh Krishna; Monowar Bhuyan (CoRR, 2025)

Trusted Microservice Orchestration for Secure Edge Computing in Industrial Cyber-Physical Systems. - Md. Redowan Mahmud; Jiong Jin; Jonathan Kua; Mahbuba Afrin; Sajib Mistry; Aneesh Krishna (IEEE Netw., 2025)

VBSFL: A Robust Blockchained Split-Fed Learning Model for Secured Distributed Learning. - George Aziz; Sajib Mistry; Aneesh Krishna (IEEE Trans. Ind. Informatics, 2025)

UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression. - Md. Rakibul Hasan 001; Md. Zakir Hossain; Aneesh Krishna; Shafin Rahman; Tom Gedeon (CoRR, 2025)