In the upcoming meeting we will discuss the paper titled NISP: Pruning Networks using Neuron Importance Score Propagation. You are all welcome to join!
16:00 20 February 2020 @ LIDA room, Jesenná 5, Košice
Peter Bugata and Dávid Hudák from VSL Software, a.s. will present results of recognizing the wagon number achieved through two neural networks that have learned to cooperate.
16:00 12 February 2020 @ VKM room, Jesenná 5, Košice
In the upcoming meeting we will discuss the paper titled Outlier Exposure with Confidence Control for Out-of-Distribution Detection. You are all welcome to join!
16:00 6 February 2020 @ LIDA room, Jesenná 5, Košice
In the upcoming meeting we will discuss the paper titled The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. You are all welcome to join!
16:00 23 January 2020 @ Multi-purpose seminar room, Jesenná 5, Košice
The reading group continues after the new year! At this first meeting after the holidays, we will discuss the paper titled Neural Turing Machines. You are all welcome to join!
15:30 8 January 2020 @ Multi-purpose seminar room, Jesenná 5, Košice
The reading group starts a new topic! The next several meetings will be devoted to the anomaly detection. We start from scratch - discusssing a survey paper. You are all welcome to join!
15:30 27 November 2019 @ Multi-purpose seminar room
15:30 11 December 2019 @ Multi-purpose seminar room
Ladislav Bačo from LIFARS will discuss the newest issues in the field of Cybersecurity. He will briefly explain both traditional and more unconventional methods of Big Data analysing and their usage. Will we find out how to search for a needle in a Big Data haystack?
15:00 4 December 2019 @ VKM room
There has been a lot of debate whether the worst Statistical Method can outperform the best of Machine Learning methods when it comes to Time Series Forecasting. We will try to understand what makes these types of forecasting so different, look at examples and discuss possible answers to this debate with Róbert Tóth from Tangent Works.
16:00 20 November 2019 @ VKM room
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In the upcoming meeting we will discuss the paper titled Densely Connected Convolutional Networks. You are all welcome to join!
15:30 13 November 2019 @ Multi-purpose seminar room
Stanislav Hrivňak and Ondrej Palkoci from GlobalLogic will introduce us to new projects in the field of Machine Learning they have been working on such as an app to help diabetics, bone segmentation from ultrasound imagining and various SmartHome security applications.
16:00 6 November 2019 @ VKM room
In the upcoming meeting we will discuss the paper titled Attention Augmented Convolutional Networks. You are all welcome to join!
15:30 30 October 2019 @ Multi-purpose seminar room
Slovak entrepreneur and visionary Tomáš Bel, a former CEO of Panta Rhei, the founder of EXIsport and a tech startupist at Anovative will tell us about his experience in Business in regards to AI.
15:00 23 October 2019 @ VKM room
This academic year we also organize a reading group. In the upcoming meeting we will discuss the paper titled An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. You are all welcome to join!
15:30 16 October 2019 @ Multi-purpose seminar room
Traditional methods used in gap filling such as predicting missing values might be highly impractical if not useless in case of massive data sets mainly due to their inefficiency. Milan Žukovič (UVF PF UPJŠ) will explain how techniques inspired by statistical physics greatly alleviate the limitations.
16:00 9 October 2019 @ VKM room
Gergely Magyar, Filip Hendrichovský and Mária Virčíková from Matsuko will demonstrate the use of Generative Adversarial Networks (GANs) in reconstructing 3D facial features from single images.
16:00 25 September 2019 @ VKM room
There is a reading group on the book 'Deep Learning' by Goodfellow at al. You can find it at deeplearningbook.org for free. You are welcome to come, but you are expected to read the planned chapter ahead. On upcoming meeting we will discuss Chapter 12.4 - 12.5.
16:15, 10 July 2019
Tomas Kocak will present the results of the research paper by Amit Daniely.
15:15 19 June 2019 @ VKM room
Slavo Matasovsky from Tachyum will describe how an artificial agent may learn by interacting with its environment, similarly to a biological agent.
18:00 30 May 2019 @ Sobasna sien - Radnica Stareho Mesta
Peter Bednar will describe what natural language processing is and how deep learning methods may be applied.
15:15 9 May 2019 @ VKM room
Jozo will show how machine learning could be helpful in medicine and save lives by pointing to fractal geometry and its contribution to diagnosis of cancer.
15:15 10 April 2019 @ VKM room
Juraj Kundrik from OptiSolutions will discuss particular object detection solutions and their applications in industry.
15:15 20 March 2019 @ VKM room
Tomas Horvath will present the main methods used and utilized to simulate an expertise and experience of a data scientist as well as techniques for automation of certain tasks in data science. The lecture is prepared jointly with MLMU Kosice and takes place on Hviezdoslavova 7 with entrance between Office of the President and flower shop which is as close as 450 meters from Jesenna 5 Faculty of Science building.
18:00 25 February 2019 @ Sobasna sien - Radnica Stareho Mesta
Michal Valko will describe adaptive solutions of using graphs and their applying in patient data, face recognition, and recommender systems.
15:15 20 February 2019 @ VKM room
Professor Andrejkova will share her experience of using neural networks in studying data on geomagnetic storms!
15:15 19 December 2018 @ VKM room
Data science and its role in a fruitful relationship between neuroscience and robotics!
15:15 12 December 2018 @ VKM room
Come and learn how to fight cancer by recognizing landmarks! Daniel Kuchta tells us more about their research at the Global Logic Company.
15:15 5 December 2018 @ VKM room
Local Hack Day is a GLOBAL hackathon uniting thousands of students. Participants across 100+ distributed campuses are able to connect with their local communities and other hackers around the world through digital workshops & mini-events, social media, and a global live stream.
9:00-21:00 1 December 2018 @ SJ2P08 room
Jan Kanuk tells us what challenges geographers face when working with data and how they model the countryside.
15:15 28 November 2018 @ VKM room
How machine learning methods can be useful in astronomy? Come to the meeting with Michal Cokina and you will know!
15:15 21 November 2018 @ VKM room
What does a Slovak do if he goes for a PhD abroad? Tomas will talk about his research and its applications in machine learning.
15:15 14 November 2018 @ VKM room
Stano will show us how we can use deep learning methods to identify ESCA disease in grapes. Come and see how powerful and helpful the deep learning methods can be!
15:15 7 November 2018 @ VKM room
Stano will share his experience from ML Hackathon that took place in Kosice a couple of weeks ago. He shows how data from drones can be used to improve the vineyard's output.
15:15 24 October 2018 @ VKM room
Try hands-on machine learning methods on real datasets. Do not forget to bring your laptop with you!
15:15 17 October 2018 @ SA1C05 room
Deep dive into the secrets of clustering with Erik Bruoth. Learn about recogniyign comunities by using the spectral clustering.
15:15 10 October 2018 @ VKM room
Deep dive into the secrets of clustering with Erik Bruoth. Learn about techniques behind this categorization method.
15:15 3 October 2018 @ VKM room
Building Scalable Apps using CockroachDB, distributed SQL database using a table structure most developers will recognize. This event is primarily designed for university and older high school students but is free for everyone.
14:30 26 September 2018 @ VKM room
First talk featuring Marián Dvorský, former UPJŠ student now working at Google!
15:15 19 September 2018 @ VKM room
Speakers at our events speak about topics they are passionate about. While featuring more advanced content, the talks are kept friendly to high school students.
People of all ages join our meetups, starting from hight school students wishing to learn more, to senior developers working at local and global companies.
We focus on all topics relevant to data science and data analytics, such as statistics, classifications, artificial intelligence and sometimes even databases.
