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Rosaria Silipo
  • Female
  • Konstanz
  • Germany
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Profile Information

Job Function:
Business Analytics, Predictive Modeling, Data Mining, Marketing Databases, Vizualization, Statistical Consulting, Medical Statistics, Artificial Intelligence
data mining consulting
Short Bio:
Dr. Rosaria Silipo (PhD) is a researcher and developer of algorithms for intelligent data analysis. She has worked in many different fields of application, like such as speech recognition, biomedical data and financial data. Dr. Rosaria Silipo has more than 10 years experience in data analysis.

In 1992 she got received her “laurea” degree in electrical engineering from the University of Florence (Italy). In 1996 she got her doctorate in Biomedical engineering from the Politecnico di Milano (Italy) with a thesis on the analysis of the electrocardiographic signal developed in cooperation with the Dept. of Health Sciences and Technology at the MIT (USA).

Since then she has worked as a visiting scientist at Siemens in Munich (Germany), a post-doctoral researcher at ICSI in Berkeley, a research engineer in the R&D department of Nuance Communications in Menlo Park, and finally most recently as a consultant for start up companies in the Bay Area.

She has been a member of the Program Committee of the conference series “Intelligent Data Analysis” and was the scientific organizer of the “International Spring School on Intelligent Data Analysis” in 2001. She has served as a reviewer for the IEEE Transactions on Biomedical Engineering, Signal Processing, and Neural Networks.
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Rosaria Silipo's Blog

Semantic Roles according to Word2Vec

Posted on May 7, 2018 at 12:00am 0 Comments

Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words are close to each other.

This blog post is an extract from chapter 6 of the book “From Words to Wisdom. An Introduction to Text Mining…


How to build a Market Basket Analysis Engine

Posted on August 12, 2015 at 12:34am 2 Comments

A market basket analysis or recommendation engine [1] is what is behind all these recommendations we get when we go shopping online or whenever we receive targeted advertising. The underlying engine collects information about people’s habits and knows that if people buy pasta and wine, they are usually also interested in pasta sauces. So, the next time you go to the supermarket and buy pasta and wine, be ready to get a recommendation for some pasta sauce!

A typical analysis goal…


Is opensource enough? The Need for an Open Architecture Analytics

Posted on July 14, 2015 at 2:27am 0 Comments

The job of a data analyst nowadays has become very extensive, in its need to cover a number of different and ever-changing tasks.

A data analyst must query a variety of internal and external data sources, each with a different access protocol and format; integrate these data with results from REST and web services queried over the Internet, such as Google API or any social media channel; exchange information with business analysts, who, while lacking the deep mathematical background,…


Model Deployment: the "Now What?" effect

Posted on June 23, 2015 at 1:28am 0 Comments

Model Deployment

I have built a model that scores 99.9% accuracy! Great! Fantastic!

Now what?

This is what a colleague of mine calls the "Now what?" effect. After training, testing, and optimizing a model repeatedly, we get this fantastic performance on the evaluation set. Now it is the time to put your model to good use on real life, maybe streaming, data. This phase is called Model…


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