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Nguyen Ho
Person information
- affiliation: Aalborg University, Denmark
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2020 – today
- 2024
- [c14]Carlos Enrique Muñiz-Cuza, Søren Kejser Jensen, Jonas Brusokas, Nguyen Ho, Torben Bach Pedersen:
Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting. EDBT 2024: 650-663 - 2023
- [c13]Nguyen Ho, Trinh Cong Le, Van Long Ho, Nguyen Tuong Huynh, Linh Ngo:
Causal Associations between Temporal Events. IEEE Big Data 2023: 1135-1142 - [c12]Subina Khanal
, Nguyen Ho
, Torben Bach Pedersen
:
FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation. e-Energy 2023: 172-183 - [c11]Van Long Ho
, Nguyen Ho, Torben Bach Pedersen:
Mining Seasonal Temporal Patterns in Time Series. ICDE 2023: 2249-2261 - [c10]Hieu Hoang, Triet H. M. Nguyen, Nguyen Ho, Dung A. Tran, Van Long Ho, Hien D. Nguyen:
Experimental Comparison between Neural-Symbolic Question-Answering Methods. KSE 2023: 1-6 - [i5]Van Long Ho, Nguyen Ho, Torben Bach Pedersen, Panagiotis Papapetrou:
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information. CoRR abs/2306.10994 (2023) - 2022
- [j5]Truong Hoang Bao Huy
, Perumal Nallagownden, Khoa Hoang Truong, Ramani Kannan, Dieu N. Vo
, Nguyen Ho:
Multi-Objective Search Group Algorithm for engineering design problems. Appl. Soft Comput. 126: 109287 (2022) - [c9]Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen
, Nguyen Ho, Carlos E. Muñiz-Cuza
, Jonas Brusokas
, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos
, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis:
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. IEEE Big Data 2022: 3179-3185 - [c8]Carlos Enrique Muñiz-Cuza
, Nguyen Ho, Eleni Tzirita Zacharatou
, Torben Bach Pedersen, Bin Yang
:
Spatio-temporal graph convolutional network for stochastic traffic speed imputation. SIGSPATIAL/GIS 2022: 14:1-14:12 - [i4]Nguyen Ho, Van Long Ho, Torben Bach Pedersen, Mai Vu, Christophe A. N. Biscio:
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series - Full Version. CoRR abs/2204.09131 (2022) - [i3]Van Long Ho, Nguyen Ho, Torben Bach Pedersen:
Mining Seasonal Temporal Patterns in Big Time Series. CoRR abs/2206.14604 (2022) - 2021
- [j4]Bao-Huy Truong, Perumal Nallagownden, Khoa Hoang Truong
, Ramani Kannan, Dieu N. Vo
, Nguyen Ho:
Multi-objective search group algorithm for thermo-economic optimization of flat-plate solar collector. Neural Comput. Appl. 33(19): 12661-12687 (2021) - [j3]Van Long Ho
, Nguyen Ho, Torben Bach Pedersen:
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information. Proc. VLDB Endow. 15(3): 673-685 (2021) - [j2]Nguyen Ho
, Huy T. Vo
, Mai Vu
, Torben Bach Pedersen
:
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data. IEEE Trans. Big Data 7(1): 128-146 (2021) - [c7]Nguyen Ho, Van Long Ho
, Torben Bach Pedersen, Mai Vu:
Efficient and Distributed Temporal Pattern Mining. IEEE BigData 2021: 335-343 - 2020
- [c6]Nguyen Ho, Torben Bach Pedersen, Van Long Ho
, Mai Vu:
Efficient Search for Multi-Scale Time Delay Correlations in Big Time Series Data. EDBT 2020: 37-48 - [i2]Van Long Ho, Nguyen Ho, Torben Bach Pedersen:
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information - Full Version. CoRR abs/2010.03653 (2020)
2010 – 2019
- 2019
- [c5]Nguyen Ho, Torben Bach Pedersen, Mai Vu, Van Long Ho
, Christophe A. N. Biscio
:
Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information. ICDE 2019: 1734-1737 - [i1]Nguyen Ho, Huy T. Vo, Mai Vu, Torben Bach Pedersen:
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data. CoRR abs/1906.09995 (2019) - 2017
- [b1]Thi Thao Nguyen Ho:
Towards sustainable solutions for applications in cloud computing and big data. Polytechnic University of Milan, Italy, 2017 - [c4]N. T. T. Ho, Marco Gribaudo
, Barbara Pernici
:
Improving Energy Efficiency for Transactional Workloads in Cloud Environments. e-Energy 2017: 290-295 - 2016
- [j1]Cinzia Cappiello
, Thi Thao Nguyen Ho, Barbara Pernici
, Pierluigi Plebani
, Monica Vitali
:
CO2-Aware Adaptation Strategies for Cloud Applications. IEEE Trans. Cloud Comput. 4(2): 152-165 (2016) - [c3]Nguyen Ho, Huy T. Vo, Mai Vu:
An adaptive information-theoretic approach for identifying temporal correlations in big data sets. IEEE BigData 2016: 666-675 - 2014
- [c2]Marco Gribaudo
, Thi Thao Nguyen Ho, Barbara Pernici
, Giuseppe Serazzi:
Analysis of the Influence of Application Deployment on Energy Consumption. E2DC 2014: 87-101 - [c1]Amine Barkat, Alysson Diniz dos Santos, Thi Thao Nguyen Ho:
Open Stack and Cloud Stack: Open Source Solutions for Building Public and Private Clouds. SYNASC 2014: 429-436
Coauthor Index
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last updated on 2024-08-18 21:57 CEST by the dblp team
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