Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaApril 13, 4 PMonline (zoom) Abstract Recurrent neural networks (RNNs) are a family of specialized neural networks for processing sequential data. They can scale to much longer sequences than would be practical for networks without sequence-based...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaDecember 15, 4pmonline (zoom) Abstract Ensemble learning is the process by which multiple models, such as classifiers or experts, are combined to solve a particular computational intelligence problem. Ensemble learning is primarily used to improve...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaApril 7, 4pmonline (zoom) Abstract Data science is the area of study which involves extracting insights from data using various scientific methods, algorithms, and processes. In this tutorial we will explain the need for data science and provide an...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaJune 2, 4pmonline (zoom) Abstract Deep Learning (DL for short) is a field of machine learning that is concerned with algorithms based on (artificial) neural networks and representation learning. The quintessential example of a deep learning model is...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaJuly 7, 4pmonline (zoom) Abstract Convolutional neural networks (CNNs), are a specialized kind of neural network for processing data that has a known, grid-like topology. Examples include time-series data, which can be thought of as a 1D grid taking...
Oct 23, 2024 | 2021, diiP, Distinguished Lectures
Kimon Drakopoulos May 5, 2021, at 4 PM Online (Zoom) Abstract In collaboration with the Greek government, we designed and deployed a nation-wide COVID-19 screening protocol for travelers to Greece. The goals of the protocol were to combine limited...
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