1 code implementation • 25 Jul 2023 • Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Hoang Thanh Lam
Additionally, we have designed our framework to support the industry with readily available APIs for production under the standard SpaCy NLP pipeline.
1 code implementation • 22 Jun 2023 • Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences.
no code implementations • 7 Feb 2022 • Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
In recent years, a proliferation of methods were developed for cooperative multi-agent reinforcement learning (c-MARL).
1 code implementation • NeurIPS 2021 • Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramon Fernandez Astudillo
In many machine learning tasks, models are trained to predict structure data such as graphs.
Ranked #2 on AMR Parsing on LDC2020T02 (using extra training data)
no code implementations • NeurIPS Workshop DBAI 2021 • Chirag Sahni, Kiran Kate, Avraham Shinnar, Hoang Thanh Lam, Martin Hirzel
Integrating data preparation with machine-learning (ML) pipelines has been a long- standing challenge.
1 code implementation • Findings (EMNLP) 2021 • Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa Lopez Garcia
The RuleTaker approach of (Clark et al., 2020) achieves appealing results both in terms of accuracy and in the ability to generalize, showing that when the model is trained with deep enough queries (at least 3 inference steps), the transformers are able to correctly answer the majority of queries (97. 6%) that require up to 5 inference steps.
1 code implementation • 15 Jun 2018 • Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba
Data preparation, i. e. the process of transforming raw data into a format that can be used for training effective machine learning models, is a tedious and time-consuming task.
no code implementations • 10 Feb 2018 • Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn
We propose an approximation algorithm for efficient correlation search in time series data.
no code implementations • 16 Jan 2018 • Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba
To the best of our knowledge, this is the first time an automated data science system could win medals in Kaggle competitions with complex relational database.
no code implementations • 1 Jun 2017 • Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan
Feature engineering is one of the most important and time consuming tasks in predictive analytics projects.
no code implementations • 17 Sep 2015 • Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems.
no code implementations • 26 Dec 2014 • Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter.