"Improving position encoding of transformers for multivariate time series classification" by Navid Mohammadi Foumani, Chang Wei Tan, Geoff Webb & Mahsa Salehi (link.springer.com/article/10.100…) (OA)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. arxiv.org/abs/2402.17772

And another #DAMI online-first paper on sequence classification: "Series2vec: similarity-based self-supervised representation learning for time series classification" by N. M. Foumani, C. W. Tan, Geoff Webb, H. Rezatofighi & M. Salehi (link.springer.com/article/10.100…) #OA

Imagine being able to easily see and interpret signals from your mind. Our #PhD student Navid Mohammadi Foumani and EMOTIV have created EEG2REP: A non-invasive tool that transforms complex #EEG #data into precise, actionable knowledge. Learn more: i.mtr.cool/opageyrogu @moanshdigital

Stock markets. Weather patterns. Heart rate monitors. Some of the world's most critical systems rely on time series data. ⏳ Our PhD student Navid Mohammadi Foumani has developed a smarter way to make sense of it. Meet Series2Vec: bit.ly/3EXDFjU #datascience #analytics #AI