Hoang Thanh Lam  Hoang Thanh Lam photo         

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Research Staff Member
Ireland Research Lab, Dublin, Ireland



Automated Data Science for Relational Data
Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz
37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, pp. 2689--2692, IEEE

Neural Unification for Logic Reasoning over Natural Language
Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa Lopez Garcia
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021. Findings

Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy
Vanessa Lopez, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Lam Thanh Hoang, Miao Wei, John Segrave
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 3509--3521, Association for Computational Linguistics

Ensembling Graph Predictions for AMR Parsing
Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa Lopez and Ramon Fernandez Astudillo
Conference on Neural Information Processing Systems. NeurIPS 2021


Survey on automated end-to-end data science?
Djallel Bouneffouf, Charu C Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, others
IJCNN, pp. 1--9, 2020


An ensemble prediction model for train delays
Rahul Nair, Thanh Lam Hoang, Marco Laumanns, Bei Chen, Randall Cogill, J\'acint Szab\'o, Thomas Walter
Transportation Research Part C: Emerging Technologies104, 196--209, Elsevier, 2019


Layered convolutional dictionary learning for sparse coding itemsets
Mansha, Sameen and Lam, Hoang Thanh and Yin, Hongzhi and Kamiran, Faisal and Ali, Mohsen
World Wide Web, 1--15, Springer, 2018

Learning Features For Relational Data
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba
arXiv preprint arXiv:1801.05372, 2018

Learning Correlation Space for Time Series
Qiu, Han and Lam, Hoang Thanh and Fusco, Francesco and Sinn, Mathieu
arXiv preprint arXiv:1802.03628, 2018


One button machine for automating feature engineering in relational databases
Lam, Hoang Thanh and Thiebaut, Johann-Michael and Sinn, Mathieu and Chen, Bei and Mai, Tiep and Alkan, Oznur
arXiv preprint arXiv:1706.00327, 2017


The SPMF Open-Source Data Mining Library Version 2
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng, Hoang Thanh Lam
ECML/PKDD, Springer, 2016

A concise summary of spatial anomalies and its application in efficient real-time driving behaviour monitoring
Thanh Lam Hoang
ACM SigSpatial , ACM, 2016


Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction Algorithms
Hoang Thanh Lam and Eric Bouillet
ECML/PKDD 2015, Springer

Characterization of network traffic processes under adaptive traffic control systems
Alessandra Pascale, Thanh Lam Hoang and Rahul Nair
Transportation Research Part C, Elsevier, 2015


Spatio-temporal clustering of urban networks: a real case scenario in London
Alessandra Pascale, Dimitrios Mavroeidis and Hoang Thanh Lam
Published at TRB Annual Meeting, selected for publication at Transportation Research Record (TRR), Journal of the Transportation Research Board, 2014

Predicting User Engagement in Twitter with Collaborative Ranking
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese
Proceedings of the 2014 Recommender Systems Challenge, pp. 41:41--41:46, ACM

Mining Top-K Largest Tiles in a Data Stream
Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy and Elisa Fromont
ECML/PKDD 2014, LNCS, Springer

Online Event Clustering in Temporal Dimension
Hoang Thanh Lam, Eric Bouillet
Proceedings of ACM SIGSPATIAL 2014, ACM


Extraction des k plus grandes tuiles dans un flux de donn\'ees
Toon Calders, Elisa Fromont, Baptiste Jeudy, Hoang Thanh Lam, Wenjie Pei, Adriana Prado, others
Conf\'erence Francophone sur l'Apprentissage Automatique, 2013

Zips: mining compressing sequential patterns in streams
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian M\"orchen, Dmitriy Fradkin
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, pp. 54--62, 2013

Analysis of Videos using Tile Mining
Toon Calders, Elisa Fromont, Baptiste Jeudy, Hoang Thanh Lam, others
Real-World Challenges for Data Stream Mining Workshop-Discussion, 2013

Discovering temporal hidden contexts in web sessions for user trail prediction
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
Proceedings of the 22nd international conference on World Wide Web companion, pp. 1067--1074, 2013

Mining compressing sequential patterns
Hoang Thanh Lam, Fabian M\"orchen, Dmitriy Fradkin, Toon Calders
Statistical Analysis and Data Mining, Wiley Online Library, 2013


Online Discovery of Top-k Similar Motifs in Time Series Data.
Hoang Thanh Lam, Toon Calders, Ninh Pham
SDM, pp. 1004--1015, 2011


An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem
Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, Fabrizio Silvestri
Web Conference (APWEB), 2010 12th International Asia-Pacific, pp. 188--194

On Using Query Logs for Static Index Pruning
Hoang Thanh Lam, Raffaele Perego, Fabrizio Silvestri
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on, pp. 167--170

Mining top-k frequent items in a data stream with flexible sliding windows
Hoang Thanh Lam, Toon Calders
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 283--292, 2010


Entry pairing in inverted file
Hoang Thanh Lam, Raffaele Perego, Nguyen Thoi Minh Quan, Fabrizio Silvestri
Web Information Systems Engineering-WISE 2009, pp. 511--522, Springer


A heuristic particle swarm optimization
Hoang Thanh Lam, Popova Nina Nicolaevna, Nguyen Thoi Minh Quan
Proceedings of the 9th annual conference on Genetic and evolutionary computation, pp. 174--174, 2007

Year Unknown

Predicting Current User Intent with Contextual Markov Models
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
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