112 citations · 118 across the 6 of their papers we have counts for
7 papers
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
Moacir Antonelli Ponti, Lucas de Angelis Oliveira, Mathias Esteban +3
Real world datasets contain incorrectly labeled instances that hamper the performance of the model and, in particular, the ability to generalize out of distribution. Also, each exa…
Iterative evaluation of LSTM cells
Leandro Palma, Luis Argerich
In this work we present a modification in the conventional flow of information through a LSTM network, which we consider well suited for RNNs in general. The modification leads to…
From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing
Juan Andrés Laura, Gabriel Masi, Luis Argerich
In recent studies [1][13][12] Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predict…
Generic LSH Families for the Angular Distance Based on Johnson-Lindenstrauss Projections and Feature Hashing LSH
Luis Argerich, Natalia Golmar
In this paper we propose the creation of generic LSH families for the angular distance based on Johnson-Lindenstrauss projections. We show that feature hashing is a valid J-L proje…
Hash2Vec, Feature Hashing for Word Embeddings
Luis Argerich, Joaquín Torré Zaffaroni, Matías J Cano
In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document…
Variations of the Similarity Function of TextRank for Automated Summarization
Federico Barrios, Federico López, Luis Argerich +1
This article presents new alternatives to the similarity function for the TextRank algorithm for automatic summarization of texts. We describe the generalities of the algorithm and…
EntropyWalker, a Fast Algorithm for Small Community Detection in Large Graphs
Luis Argerich
This report presents a very simple algorithm for overlaping community-detection in large graphs under constraints such as the minimum and maximum number of members allowed. The alg…