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Hoang Thanh Lam
Hoang Thanh Lam
Research staff, IBM research, Dublin, Ireland
Verified email at ie.ibm.com
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Cited by
Cited by
Year
The SPMF open-source data mining library version 2
P Fournier-Viger, JCW Lin, A Gomariz, T Gueniche, A Soltani, Z Deng, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
6432016
Mining compressing sequential patterns
HT Lam, F Mörchen, D Fradkin, T Calders
Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (1), 34-52, 2014
1542014
One button machine for automating feature engineering in relational databases
HT Lam, JM Thiebaut, M Sinn, B Chen, T Mai, O Alkan
arXiv preprint arXiv:1706.00327, 2017
1162017
An ensemble prediction model for train delays
R Nair, TL Hoang, M Laumanns, B Chen, R Cogill, J Szabó, T Walter
Transportation Research Part C: Emerging Technologies 104, 196-209, 2019
802019
Mining top-k frequent items in a data stream with flexible sliding windows
H Thanh Lam, T Calders
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
502010
Online discovery of top-k similar motifs in time series data
HT Lam, ND Pham, T Calders
Proceedings of the 2011 SIAM International Conference on Data Mining, 1004-1015, 2011
472011
Spmf: Open-source data mining platform
P Fournier-Viger, A Gomariz, A Soltani, H Lam, T Gueniche
URL http://www. philippe-fournier-viger. com/spmf, 2014
352014
Maximum Bayes Smatch ensemble distillation for AMR parsing
YS Lee, RF Astudillo, TL Hoang, T Naseem, R Florian, S Roukos
arXiv preprint arXiv:2112.07790, 2021
332021
Ensembling graph predictions for amr parsing
TL Hoang, G Picco, Y Hou, YS Lee, L Nguyen, D Phan, V López, ...
Advances in Neural Information Processing Systems 34, 8495-8505, 2021
322021
Automated image data preprocessing with deep reinforcement learning
TN Minh, M Sinn, HT Lam, M Wistuba
arXiv preprint arXiv:1806.05886, 2018
312018
Predicting current user intent with contextual markov models
J Kiseleva, HT Lam, M Pechenizkiy, T Calders
2013 IEEE 13th International Conference on Data Mining Workshops, 391-398, 2013
312013
Neural feature learning from relational database
HT Lam, TN Minh, M Sinn, B Buesser, M Wistuba
arXiv preprint arXiv:1801.05372, 2018
28*2018
Characterization of network traffic processes under adaptive traffic control systems
A Pascale, HT Lam, R Nair
Transportation Research Procedia 9, 205-224, 2015
282015
How can AI automate End-to-End data science?
C Aggarwal, D Bouneffouf, H Samulowitz, B Buesser, T Hoang, ...
arXiv preprint arXiv:1910.14436, 2019
27*2019
Self-managed adaptable models for prediction systems
EP Bouillet, B Chen, RL Cogill, TL Hoang, M Laumanns, WK Lynch, ...
US Patent 11,276,011, 2022
262022
(Blue) taxi destination and trip time prediction from partial trajectories
HT Lam, E Diaz-Aviles, A Pascale, Y Gkoufas, B Chen
arXiv preprint arXiv:1509.05257, 2015
232015
Spatio-temporal clustering of urban networks: a real case scenario in London
A Pascale, D Mavroeidis, HT Lam
Transportation Research Board 94th Annual Meeting, 18, 2015
212015
Neural unification for logic reasoning over natural language
G Picco, HT Lam, ML Sbodio, VL Garcia
arXiv preprint arXiv:2109.08460, 2021
202021
Discovering temporal hidden contexts in web sessions for user trail prediction
J Kiseleva, H Thanh Lam, M Pechenizkiy, T Calders
Proceedings of the 22nd International Conference on World Wide Web, 1067-1074, 2013
202013
Predicting user engagement in twitter with collaborative ranking
E Diaz-Aviles, HT Lam, F Pinelli, S Braghin, Y Gkoufas, M Berlingerio, ...
Proceedings of the 2014 Recommender Systems Challenge, 41-46, 2014
162014
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