62 citations · 117 across the 10 of their papers we have counts for
10 papers
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery
Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo +6
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases o…
Attacking c-MARL More Effectively: A Data Driven Approach
Nhan H. Pham, Lam M. Nguyen, Jie Chen +3
In recent years, a proliferation of methods were developed for cooperative multi-agent reinforcement learning (c-MARL). However, the robustness of c-MARL agents against adversarial…
Ensembling Graph Predictions for AMR Parsing
Hoang Thanh Lam, Gabriele Picco, Yufang Hou +5
In many machine learning tasks, models are trained to predict structure data such as graphs. For example, in natural language processing, it is very common to parse texts into depe…
Neural Unification for Logic Reasoning over Natural Language
Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio +1
Automated Theorem Proving (ATP) deals with the development of computer programs being able to show that some conjectures (queries) are a logical consequence of a set of axioms (fac…
Automated Image Data Preprocessing with Deep Reinforcement Learning
Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam +1
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. For…
Learning Correlation Space for Time Series
Han Qiu, Hoang Thanh Lam, Francesco Fusco +1
We propose an approximation algorithm for efficient correlation search in time series data. In our method, we use Fourier transform and neural network to embed time series into a l…
Neural Feature Learning From Relational Database
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn +2
Feature engineering is one of the most important but most tedious tasks in data science. This work studies automation of feature learning from relational database. We first prove t…
One button machine for automating feature engineering in relational databases
Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn +3
Feature engineering is one of the most important and time consuming tasks in predictive analytics projects. It involves understanding domain knowledge and data exploration to disco…
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale +2
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ens…
Predicting User Engagement in Twitter with Collaborative Ranking
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli +4
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter. Most applications use CF to recommend a small set of i…