Vladimir Andryushechkin
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I am a Research Assistant in the Unit for Natural Language Processing (UNLP) at Insight @ NUI Galway. I am currently working on the Mixed Emotions project where the objective is to build models which infer emotions from social media text. This includes employing deep neural networks for multi-class classification.
I have recently finished Master's degree in Computer Science (Data Analytics) at National University of Ireland, Galway. Most recently, I worked on a thesis titled “Wind Turbine Power Generation Prediction using Artificial intelligence Techniques”. Relevant subjects covered throughout this degree included ‘Machine Learning’, ‘Large-scale Data Analytics’, ‘Natural Language Processing’, ‘Numerical Analysis’, ‘Data Visualization’, ‘Web Mining’ and ‘Linked data’.
Have software engineering background (Specialist Diploma). Subjects Included: Networking, OOP, Cryptography, Database development, Mobile Application development, Computer graphics, etc.
Publications
- Journal: Proceedings of the 11th edition of the Language Resources and Evaluation Conference,Publication DetailsConference Name:Type:Date: 2018Refereed Original Article
- Journal: IEEE Transactions on Multimedia,Authors
Paul Buitelaar, Ian Wood, Sapna Negi, Mihael Arcan, John McCrae, Andrejs Abele, Cécile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, Maximilian Schmitt, Bjorn W. Schuller, J. Fernando Sanchez, Carlos A. Iglesias, Carlos Navarro, Adreas Giefer, Nicolaus Heise, Vincenzo Masucci, Francesco A. Danza, Ciro Caterino, Pavel Smrz, Michal Hradis, Filip Povolny, Marek Klimes, Pavel Matejka, Giovanni Tummarello
Publication DetailsConference Name:Type:Date: 2018Refereed Original Article - Conference Name: Experimental Methods in Natural Language Processing (EMNLP 2017) ,Authors
Vladimir Andryushechkin, Ian Wood, James O’Neill
Publication DetailsType:Proceedings: 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), Date: 2017Location: Denmark,Refereed Conf./Meeting Proceeding