Search Results for author: Hoang Thanh Lam

Found 12 papers, 5 papers with code

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery

1 code implementation22 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.

Drug Discovery Graph Representation Learning +1

Neural Unification for Logic Reasoning over Natural Language

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.

Automated Theorem Proving Question Answering

Automated Image Data Preprocessing with Deep Reinforcement Learning

1 code implementation15 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.

reinforcement-learning Reinforcement Learning (RL)

Learning Correlation Space for Time Series

no code implementations10 Feb 2018 Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn

We propose an approximation algorithm for efficient correlation search in time series data.

Time Series Time Series Analysis

Neural Feature Learning From Relational Database

no code implementations16 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.

Feature Engineering

(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories

no code implementations17 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.

Ensemble Learning

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