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This page:UHH > MIN > Department of Informatics > Institutes > Research groups > Knowledge Technology > About us > News > Knowledge Technology's paper ranking as the most downloaded article from Neural Networks
1 August 2020
German I. Parisi’s, Ronald Kemker's, Jose L. Part's, Christopher Kanan's and Stefan Wermter's paper Continual lifelong learning with neural networks: A review from 2019 is now ranking as the most downloaded article from Neural Networks.
Knowledge Technology got a new journal article published in IEEE Access.
Title: Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART EnsemblesAuthors: Wei Shiung Liew, Chu Kiong Loo, Stefan WermterAbstract: There is a growing demand for explainability in complex artificial...
Photo: UHH/Knowledge Technology
Tayfun Alpay successfully defended his PhD thesis titled "Periodicity, Surprisal, Attention: Skip Conditions for Recurrent Neural Networks" on 24 March 2021. The thesis introduces novel skip conditions for recurrent neural networks in order to successfully skip over information that is redundant or...