Jing Wang

Christopher Brown

Peter Fletcher

Xiaoli Li

Grace Agnew

Karen Smith-Yoshimura

Janifer Gatenby

Kate Byrne

Matt Carruthers

Stephen Hearn

Marina Muilwijk

Chiat Naun Chew

John Riemer

Roderick Sadler

Glen Wiley

Kayla Willey

This report focuses on organizational identifiers from the perspective of academic institutions. Their ranks and reputation often determine their success in obtaining funding and attracting or retaining faculty. Identifiers provide the "glue" for institutions and funder systems to support comparing and ranking the outputs of the research process; assessing the impact of grants between institutions and their funders; and tracking and collating publications between researchers and their publishers. The report outlines a number of scenarios where the International Standard Name Identifier (ISNI) can be used to disambiguate organizations, including real-world examples.

Addressing the Challenges with Organizational Identifiers and ISNI

This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.

Signal Processing in Neuroscience

Min Wu

Zhenghua Chen

Le Zhang

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.

Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings

Deep Learning for Human Activity Recognition

Xiaoli Li

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