122 citations · 128 across the 3 of their papers we have counts for
5 papers
Post-hoc explanation of black-box classifiers using confident itemsets
Milad Moradi, Matthias Samwald
Black-box Artificial Intelligence (AI) methods, e.g. deep neural networks, have been widely utilized to build predictive models that can extract complex relationships in a dataset…
Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts
Milad Moradi, Matthias Samwald
In recent years, summarizers that incorporate domain knowledge into the process of text summarization have outperformed generic methods, especially for summarization of biomedical…
Text Summarization in the Biomedical Domain
Milad Moradi, Nasser Ghadiri
This chapter gives an overview of recent advances in the field of biomedical text summarization. Different types of challenges are introduced, and methods are discussed concerning…
Small-world networks for summarization of biomedical articles
Milad Moradi
In recent years, many methods have been developed to identify important portions of text documents. Summarization tools can utilize these methods to extract summaries from large vo…
A Method for Finding Similar Documents Relying on Adding Repetition of Symbols in Length Based Filtering
Hossein Azgomi, Masumeh Ghasemi Mahsayeh, Masoud Mohammadi +1
A basic topic in mining of massive dataset is finding similar items. As an example, finding similar documents can be recommended. In this case many methods are existed. For example…