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Starting Inspiratron talks podcast

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Stepping up the leagues of professional life

Professional life is a competition. However, it is not a competition like a simple race, where all you need to do is to be the best in the race. It is more like an athletic federation league or football league. There are multiple categories of players and you are one of them trying to find your place. You start small in the worst league there is. In most countries, the public primary schools are places that are mandatory for all kids and you are competing against people with all backgrounds. Now if you are successful, there are 3-4 kids of similar strength as yours. You have to do it for a while. Sometimes they let you compete with the best

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Awarded best paper award on NLDB 2018 conference

A paper called “Classification of Intangible Social Innovation Concepts” that was submitted and accepted for presentation at 23rd International Conference on Natural Language & Information Systems (NLDB2018) and was held in Paris, France from 13th to 15th June 2018, received one of the best paper award. In total 3 papers were awarded as the best papers with no ranking or order between them. Papers also received monetary award.

NLDB is quite established (organised already for 23 years) and good conference in the area of natural language processing. Usually about 15-18% of papers submitted are accepted as long papers. It seems like some more papers are accepted as short papers and poster presentations, so the percentages of accepted papers is higher, but

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PhD Viva survival story

Time to write about how my PhD viva went. It was a while ago, but I wanted all corrections to be acknowledged before writing this and to get the letter confirming my PhD award. Simple reason for writing this is: there are so many horror PhD viva stories and so little positive ones, even thought most of the PhD Vivas end up positive. Just people can’t be bothered to write about it. We like much more negative stores, that’s why the news portals look as they look.

Thesis

Anyway, I have started my PhD in January 2014. at the University of Manchester, School of Computer Science. The topic I was doing my research on was Information extraction from tables in

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Impressions from HealTAC2018 conference

On 18th and 19th April 2018, the first UK health text analytics conference (HealTAC) took place in Manchester.  The main conference venue was Pendulum hotel, located on Stackville street, close to the north University of Manchester campus, the former UMIST. I had a pleasure to participate and help with a certain organisational things, as a member of local organisation committee member.

On the first day of the conference, people started arriving between 8:30-9:00 for registration. During the registration people could have some coffee and pastry for breakfast. People having posters were directed to the poster room, so they can already hang their posters. The conference started at 9:00, with welcome speech, some health and safety procedures, which was followed

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Predicting stock prices using recurrent neural networks (LSTM)

Just two days ago, I found an interesting project on GitHub. I was reminded about a paper I was reviewing for one journal some time ago, regarding stock price prediction using recurrent neural networks that proved to be quite good. I searched the web for recurrent neural networks for stock prediction and found the following project: https://github.com/Kulbear/stock-prediction

So I decided to try it out with Microsoft and Apple stocks and maybe try to do some slight modifications. The algorithm works with LSTM (Long Short Term Memory) neuron cells. LSTM neurons are a bit more complex cells than standard neurons, as they can be seen as a sequence of neurons, containing 3 gates. Memorization is achieved through the memory cell, which is implemented

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Submitted PhD thesis

As a title says, it is finally done, my PhD thesis is submitted. It was submitted on 18th December 2017. However, as overwhelmed with feelings as I feel, I wish to tell a short story how I felt in the last week before submission, during the submission and a few days after the submission.

The first draft of my PhD thesis was finished somewhere in may, however, my supervisor took a bit to read it properly and it needed some serious restructuring. Therefore, I took a job at the University in August for a part-time that turned into a full-time job in September. The position was research associate at one EU funded project that aims on creating social innovation database

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The art of trolling and its connection to innovation

Recently I watched the following talk from DefCon named “The art of trolling”, which reminded me of my earlier days and stuff I did:

Also, interestingly enough, I was on an event where we had a number of speakers (academics and policy makers) talking about innovation policy, innovation management and similar. However, from all these talks, one point was missing: very often innovation is made for Lulz.

Let me start with two examples of trolling I was involved with, which required quite some bit of work and let’s call it out of the box thinking, with some degree of innovation.

 

Introducing trolls

Trolling politically motivated news commenters

I

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Moment when my idea became a web standard

This is the story how one schema I worked on as a side project suddenly found its place in W3C recommendation.

In November 2015, I went with my supervisor to Japan. In small cities of Mishima and Ito, about 1 hour train ride from Tokyo was held Biomedical Linked Annotation Hackathon (BLAH2) to which my supervisor was invited. He could not stay for the whole period, so he offered me to go, which I accepted. The event was organised by Japanese Database Center for Life Sciences (DBCLS).

On the first day was the conference, where people were presenting their work mainly on annotating biomedical literature. My PhD was related, kind of similar topic, it was about information extraction from tables

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SchumaNN: Recurrent neural networks composing music

With 2 friends of mine (Team was: Maksim Belousov, Mike Phuycharoen, Nikola Milosevic (myself)) on 12th and 13th November I participated at the GreatUniHack that was held in John Dalton building of Manchester Metropolitan University. We were implementing idea of machine learning-based music composer, for which we later came with name SchumaNN. For some time I wanted to experiment with this idea and this 24 hour hackathon came as a perfect match. We had couple of meetings prior to hackathon when we discussed some solutions and papers/blog posts we read. Some of the approaches we found are:

The decision we went at the end is to create a recurrent