Software architecture for ML-based systems: What exists and what lies ahead H Muccini, K Vaidhyanathan 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI …, 2021 | 51 | 2021 |
Quantitative verification-aided machine learning: A tandem approach for architecting self-adaptive IoT systems J Cámara, H Muccini, K Vaidhyanathan 2020 IEEE International Conference on Software Architecture (ICSA), 11-22, 2020 | 44 | 2020 |
A machine learning-driven approach for proactive decision making in adaptive architectures H Muccini, K Vaidhyanathan 2019 IEEE international conference on software architecture companion (ICSA …, 2019 | 28 | 2019 |
Data-driven adaptation in microservice-based iot architectures M De Sanctis, H Muccini, K Vaidhyanathan 2020 IEEE International Conference on Software Architecture Companion (ICSA …, 2020 | 27 | 2020 |
Leveraging machine learning techniques for architecting self-adaptive iot systems H Muccini, K Vaidhyanathan 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 65-72, 2020 | 12 | 2020 |
Agile4MLS—Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience K Vaidhyanathan, A Chandran, H Muccini, R Roy IEEE Software 39 (6), 43-50, 2022 | 8 | 2022 |
Human behavior-oriented architectural design MB Abughazala, MT Moghaddam, H Muccini, K Vaidhyanathan European Conference on Software Architecture, 134-143, 2021 | 6 | 2021 |
ArchLearner: Leveraging machine-learning techniques for proactive architectural adaptation H Muccini, K Vaidhyanathan Proceedings of the 13th European Conference on Software Architecture-Volume …, 2019 | 6 | 2019 |
A user-driven adaptation approach for microservice-based IoT applications M De Sanctis, H Muccini, K Vaidhyanathan Proceedings of the 11th International Conference on the Internet of Things …, 2021 | 5 | 2021 |
Towards self-adaptive machine learning-enabled systems through QoS-aware model switching S Kulkarni, A Marda, K Vaidhyanathan 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 4 | 2023 |
Data-driven self-adaptive architecting using machine learning K Vaidhyanathan Gran Sasso Science Institute, 2021 | 4 | 2021 |
A machine learning approach to service discovery for microservice architectures M Caporuscio, M De Toma, H Muccini, K Vaidhyanathan Software Architecture: 15th European Conference, ECSA 2021, Virtual Event …, 2021 | 4 | 2021 |
Content-based 3D image retrieval using point cloud library a novel approach for the retrieval of 3D images G Aiswarya, N Valsaraj, M Vaishak, TU Nair, V Karthik, JJ Nair 2017 international conference on communication and signal processing (ICCSP …, 2017 | 4 | 2017 |
A generic approach for outlier detection in time-series data S Suman, B Rajathilagam, K Vaidhyanathan Indian Journal of Scientific Research, 181-186, 2017 | 3 | 2017 |
Emoticontrol: Emotions-based Control of User-Interfaces Adaptations M Alipour, MT Moghaddam, K Vaidhyanathan, MB Kjærgaard Proceedings of the ACM on Human-Computer Interaction 7 (EICS), 1-29, 2023 | 2 | 2023 |
A Service for Supporting Digital and Immersive Cultural Experiences K Vaidhyanathan, A Bruno, E Mendola, F Mignosi, MT Moghaddam, ... arXiv preprint arXiv:2109.07900, 2021 | 2 | 2021 |
Switch: An exemplar for evaluating self-adaptive ml-enabled systems A Marda, S Kulkarni, K Vaidhyanathan Proceedings of the 19th International Symposium on Software Engineering for …, 2024 | 1 | 2024 |
Can LLMs Generate Architectural Design Decisions?-An Exploratory Empirical study R Dhar, K Vaidhyanathan, V Varma arXiv preprint arXiv:2403.01709, 2024 | 1 | 2024 |
Engineering End-to-End Remote Labs using IoT-based Retrofitting KS Viswanadh, A Gureja, N Walchatwar, R Agrawal, S Sinha, ... arXiv preprint arXiv:2402.05466, 2024 | 1 | 2024 |
Scalable and Interoperable Distributed Architecture for IoT in Smart Cities VJS Pranavasri, L Francis, U Mogadali, G Pal, SSS Vaddhiparthy, ... 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 01-06, 2023 | 1 | 2023 |