| A data-value-driven adaptation framework for energy efficiency for data intensive applications in clouds TTN Ho, B Pernici 2015 IEEE conference on technologies for sustainability (SusTech), 47-52, 2015 | 22 | 2015 |
| Co2-aware adaptation strategies for cloud applications C Cappiello, N Ho, B Pernici, P Plebani, M Vitali IEEE Transactions on Cloud Computing 4 (2), 152 - 165, 2015 | 21 | 2015 |
| Open stack and cloud stack: Open source solutions for building public and private clouds A Barkat, AD Dos Santos, TTN Ho 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | 19 | 2014 |
| Amic: An adaptive information theoretic method to identify multi-scale temporal correlations in big time series data N Ho, H Vo, M Vu, TB Pedersen IEEE Transactions on Big Data 7 (1), 128-146, 2019 | 17 | 2019 |
| An Adaptive Information-Theoretic Approach for Identifying Temporal Correlations in Big Data Sets N Ho, H Vo, M Vu IEEE International Conference on Big Data (BigData) 2016, 2016 | 15 | 2016 |
| Efficient temporal pattern mining in big time series using mutual information VL Ho, N Ho, TB Pedersen PVLDB 15, 673-685, 2021 | 14 | 2021 |
| Characterizing Energy per Job in Cloud Applications TTN Ho, M Gribaudo, B Pernici Electronics, Special Issue Energy Saving in Data Centers 5 (4), 90, 2016 | 14 | 2016 |
| Efficient bottom-up discovery of multi-scale time series correlations using mutual information N Ho, TB Pedersen, M Vu, CAN Biscio 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1734-1737, 2019 | 12 | 2019 |
| Improving Energy Efficiency for Transactional Workloads in Cloud Environments TTN Ho, M Gribaudo, B Pernici Proceedings of the eighth ACM International Conference on Future Energy …, 2017 | 11 | 2017 |
| Analysis of the influence of application deployment on energy consumption M Gribaudo, TTN Ho, B Pernici, G Serazzi Energy Efficient Data Centers: Third International Workshop, E2DC 2014 …, 2015 | 11 | 2015 |
| Machine learning platform for extreme scale computing on compressed IoT data S Tirupathi, D Salwala, G Zizzo, A Rawat, M Purcell, SK Jensen, ... 2022 IEEE International Conference on Big Data (Big Data), 3179-3185, 2022 | 8 | 2022 |
| Efficient Search for Multi-Scale Time Delay Correlations in Big Time Series Data NTT Ho, TB Pedersen, L Van Ho, M Vu The 23rd International Conference on Extending Database Technology (edbt …, 2020 | 7* | 2020 |
| Activity recognition using smartphone based sensors THITN HO Politecnico di Milano, 2012 | 6 | 2012 |
| Efficient and Distributed Temporal Pattern Mining N Ho, VL Ho, TB Pedersen, M Vu IEEE BigData, 2021, 8, 2021 | 5 | 2021 |
| Towards sustainable solutions for applications in cloud computing and big data TTN Ho Politecnico di Milano, 2017 | 5 | 2017 |
| Spatio-temporal graph convolutional network for stochastic traffic speed imputation CEM Cuza, N Ho, ET Zacharatou, TB Pedersen, B Yang Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 4 | 2022 |
| Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information--Full Version VL Ho, N Ho, TB Pedersen arXiv preprint arXiv:2010.03653, 2020 | 3 | 2020 |
| Exploring ChatGPT's Ability to Solve Programming Problems with Complex Context ND Tran, JJ May, N Ho, LB Ngo Journal of Computing Sciences in Colleges 39 (3), 195-209, 2023 | 2 | 2023 |
| Mining Seasonal Temporal Patterns in Time Series VL Ho, N Ho, TB Pedersen IEEE International Conference on Data Engineering (ICDE), 2023 | 2 | 2023 |
| FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation S Khanal, N Ho, TB Pedersen The 14th ACM International Conference on Future Energy Systems (e-Energy), 2023 | 1 | 2023 |
Mai VuTufts UniversityVerified email at tufts.edu
