Michał Łopuszyński

For my publication list, have a look at Google Scholar. Whenever publisher’s policy allows, I keep the preprints of my papers on arXiv.

Talks I gave:

• The Five Tribes of Machine Learning Explainers, lightning talk at PyData Berlin 2018, 2018.07.07, Berlin, Germany
  slides

• Making Document Search System Slightly Friendlier to the Power User, lightning talk at Search Solutions 2017, 2017.11.28, London, United Kingdom
  slides

• Debugging Machine Learning, PyData Warsaw 2017 Conference, 2017.10.19, Warsaw, Poland
  slides, video

• AI, Free Panacea?, Orange R&D Workshop, 2017.05.10, Warsaw, Poland
  slides

• Machine Learning Goes Production! Engineering, Maintenance Cost, Technical Debt, Applied Data Analysis Lab Seminar, 2017.01.31, Warsaw, Poland
  slides

• From Raw Data to Data to Deployed Product, Fast & Agile with CRISP-DM, AnalyticsConf, 2016.11.15, Gdańsk, Poland
  slides

• CRISP-DM – Agile Approach To Data Mining Projects, Data Science Warsaw, 2016.06.07, Warsaw, Poland
  slides

Posters:

• M. Łopuszyński and M. B. Kursa, The application of the feature hashing and the mutual information based feature filter in predicting susceptibility to respiratory viruses, presented at RSG Dream 2016, 6–9.11.2016, Phoenix, United States

• M. Jungiewicz and M. Łopuszyński, Towards Meaningful Maps of Polish Case Law, presented at JURIX 2015, 9–11.12.2015, Braga, Portugal

• M. Jungiewicz and M. Łopuszyński, Unsupervised Keyword Extraction from Polish Legal Texts, presented at PolTAL 2014, 9th International Conference on Natural Language Processing, 17–19.09.2014, Warsaw, Poland

• M. Łopuszyński, Application of Topic Models to Judgments from Public Procurement Domain, presented at JURIX 2014, 10–12.12.2014, Cracow, Poland

I supervised Master Thesis of Michał Jungiewicz on Analysis of Polish Case Law by Means of Text Mining and machine Learning Methods submitted at Faculty of Electronics and Information Technology at Warsaw University of Technology.