Category Archives: Machine Learning

Brief report about the IEA AIE 2021 conference

This week, it is the IEA AIE 2021 conference (34th Intern. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent Systems), which is held from 26th to 28th June 2021. This year, the conference is held online due to … Continue reading

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Brief report about the CCF-AI 2021 conference

This week, I attend the CCF-AI 2021 conference, which is the Chinese Computer Federation conference on Artificial Intelligence. This conference is held in the city of Yantai (烟台) in Shandong province of China, from the 22th to 24th July 2021. … Continue reading

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SPMF 2.48 + The Pattern Mining Wiki

Hi all, I have not been very active on the blog during the last month. This is because I had many thinsg going on in my personal and professional life that I will not reveal here. But I will be … Continue reading

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Brief report about ICIVIS 2021 (Int. Conference on Image, Vision and Intelligent system)

This week-end, I have attended the International Conference on Image, Vision and Intelligent system from 18 to 20 June 2021 in Changsha city, China. It is a medium-sized conference (about 100 participants) but It is well-organized, and there was many … Continue reading

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MLiSE 2021 @ PKDD 2021 – a new workshop!

I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading

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Mining Episode Rules (video)

In this blog post, I will share the video of our most recent paper presented last week at ACIIDS 2021. It is about a new algorithm named POERM for about analyzing sequences of events or symbols. The algorithm will find rules called “episode … Continue reading

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Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)

Recently, my team has been working on analyzing COVID-19 genome sequences using pattern mining and other AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will give some brief … Continue reading

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The 10 most cited papers in our “Data Science and Pattern Recognition” journal!

As some of you know, I am editor-in-chief of the Data Science and Pattern Recognition (DSPR) journal. This journal has started in 2017 and four volumes have been published already with 28 papers, which I consider as a success. One … Continue reading

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The importance of explainable data science and machine learning models

In this blog post, I will talk about an important concept, which is often overlooked in data mining and machine learning: explainability. To discuss this topic, it is necessary to first remember what is the goal of data mining and machine learning. The goal of data mining is … Continue reading

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A Brief Report about the IEEE ICDM 2020 Conference

In this blog post, I will talk about the IEEE ICDM 2020 conference that I have attended virtually. The conference was supposed to be held in Italy but due to the coronavirus pandemic, it was held online. About the ICDM … Continue reading

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