Analysis of the Influence of Application Deployment on Energy Consumption. - Marco Gribaudo; Thi Thao Nguyen Ho; Barbara Pernici; Giuseppe Serazzi (E2DC, 2014)

Open Stack and Cloud Stack: Open Source Solutions for Building Public and Private Clouds. - Amine Barkat; Alysson Diniz dos Santos; Thi Thao Nguyen Ho (SYNASC, 2014)

An adaptive information-theoretic approach for identifying temporal correlations in big data sets. - Nguyen Ho; Huy T. Vo; Mai Vu (IEEE BigData, 2016)

CO2-Aware Adaptation Strategies for Cloud Applications. - Cinzia Cappiello; Thi Thao Nguyen Ho; Barbara Pernici; Pierluigi Plebani; Monica Vitali (IEEE Trans. Cloud Comput., 2016)

Improving Energy Efficiency for Transactional Workloads in Cloud Environments. - N. T. T. Ho; Marco Gribaudo; Barbara Pernici (e-Energy, 2017)

Towards sustainable solutions for applications in cloud computing and big data. - Thi Thao Nguyen Ho (2017)

Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information. - Nguyen Ho; Torben Bach Pedersen; Mai Vu; Van Long Ho; Christophe A. N. Biscio (ICDE, 2019)

Efficient Search for Multi-Scale Time Delay Correlations in Big Time Series Data. - Nguyen Ho; Torben Bach Pedersen; Van Long Ho; Mai Vu (EDBT, 2020)

Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information - Full Version. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen (CoRR, 2020)

Efficient and Distributed Temporal Pattern Mining. - Nguyen Ho; Van Long Ho; Torben Bach Pedersen; Mai Vu (IEEE BigData, 2021)

Multi-objective search group algorithm for thermo-economic optimization of flat-plate solar collector. - Bao-Huy Truong; Perumal Nallagownden; Khoa Hoang Truong; Ramani Kannan; Dieu N. Vo; Nguyen Ho (Neural Comput. Appl., 2021)

Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen (Proc. VLDB Endow., 2021)

AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data. - Nguyen Ho; Huy T. Vo; Mai Vu; Torben Bach Pedersen (IEEE Trans. Big Data, 2021)

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. - Seshu Tirupathi; Dhaval Salwala; Giulio Zizzo; Ambrish Rawat; Mark Purcell; Søren Kejser Jensen; Christian Thomsen 001; Nguyen Ho; Carlos E. Muñiz-Cuza; Jonas Brusokas; Torben Bach Pedersen; Giorgos Alexiou; et al. (IEEE Big Data, 2022)

Spatio-temporal graph convolutional network for stochastic traffic speed imputation. - Carlos Enrique Muñiz-Cuza; Nguyen Ho; Eleni Tzirita Zacharatou; Torben Bach Pedersen; Bin Yang 002 (SIGSPATIAL/GIS, 2022)

Multi-Objective Search Group Algorithm for engineering design problems. - Truong Hoang Bao Huy; Perumal Nallagownden; Khoa Hoang Truong; Ramani Kannan; Dieu N. Vo; Nguyen Ho (Appl. Soft Comput., 2022)

A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series - Full Version. - Nguyen Ho; Van Long Ho; Torben Bach Pedersen; Mai Vu; Christophe A. N. Biscio (CoRR, 2022)

Mining Seasonal Temporal Patterns in Big Time Series. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen (CoRR, 2022)

Causal Associations between Temporal Events. - Nguyen Ho; Trinh Cong Le; Van Long Ho; Nguyen Tuong Huynh; Linh Ngo 001 (IEEE Big Data, 2023)

FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation. - Subina Khanal; Nguyen Ho; Torben Bach Pedersen (e-Energy, 2023)

Mining Seasonal Temporal Patterns in Time Series. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen (ICDE, 2023)

Experimental Comparison between Neural-Symbolic Question-Answering Methods. - Hieu Hoang; Triet H. M. Nguyen; Nguyen Ho; Dung A. Tran; Van Long Ho; Hien D. Nguyen 002 (KSE, 2023)

Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen; Panagiotis Papapetrou (CoRR, 2023)

Exploring ChatGPT's Ability to Solve Programming Problems with Complex Context. - Nghia D. Tran; James J. May; Nguyen Ho; Linh B. Ngo (J. Comput. Sci. Coll., 2023)

Mining Rare Temporal Pattern in Time Series. - Van Ho Long; Nguyen Ho; Trinh Cong Le; Anh-Vu Dinh-Duc; Khang Quach; Tu Nguyen Ngoc (ADC, 2024)

Predicting ChatGPT's Ability to Solve Complex Programming Challenges. - Nguyen Ho; James J. May; Bao Ngo; Jack Formato; Linh Ngo 001; Van Long Ho; Hoang Bui (IEEE Big Data, 2024)

Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting. - Carlos Enrique Muñiz-Cuza; Søren Kejser Jensen; Jonas Brusokas; Nguyen Ho; Torben Bach Pedersen (EDBT, 2024)

Towards A Minimalistic Sensor-Based Smart Soccer Net With Machine Learning. - Nguyen Ho; Zaid Fafouri; Austin Gregory; Michael Okwori (UEMCON, 2024)

Efficient Rare Temporal Pattern Mining in Time Series. - Van Ho Long; Nguyen Ho; Trinh Cong Le; Anh-Vu Dinh-Duc; Tu Nguyen Ngoc (CoRR, 2024)

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information. - Tien Vu-Van; Dat Du Thanh; Nguyen Ho; Mai Vu (CoRR, 2024)

FACE: A Framework for AI-Driven Coding Generation Evaluation. - Bao Ngo; Jack Formato; James J. May; Nguyen Ho; Hoang Bui; Linh Bao Ngo (J. Comput. Sci. Coll., 2024)

Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen; Panagiotis Papapetrou (IEEE Trans. Knowl. Data Eng., 2025)