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LAMS 2009 European Conference Keynote - James Dalziel
⏲ 18 min 46 sec ✓ 28-Aug-2009
DSCI Seminar: Tom Mitchell, Using Machine Learning to Study How Brains Represent Language Meaning
⏲ 35 min 71 sec ✓ 21-Feb-2018
Data-driven machine learning approaches to monitor and forecast the dynamics of disease outbreaks
⏲ 34 min 19 sec ✓ 04-Jun-2021
Detecting botnet activity using machine learning (Jill Slay)
⏲ 19 min 90 sec ✓ 07-Nov-2019
Makes This World Live Young Again.mp4
⏲ 2 min 1 sec ✓ 07-Jul-2021
First steps to Innovation
⏲ 6 min 33 sec ✓ 23-Sep-2019
Greg Mori on deep structured models for human activity recognition
⏲ 30 min 52 sec ✓ 21-Jul-2020
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⏲ 26 min 16 sec ✓ 21-May-2021
Learning Together
⏲ 8 min 3 sec ✓ 07-Oct-2014
Dumbo - Interactive machine learning for activity recognition
⏲ 1 min 43 sec ✓ 17-Oct-2019
Brain-Machine Interfaces - Oren Shriki, Ben-Gurion University of the Negev, Israel
⏲ 14 min 88 sec ✓ 22-Oct-2022
How to Measure the ROI of Agile Learning Approaches - On-Demand Webinar
⏲ 41 min 17 sec ✓ 05-Mar-2020
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_lams-2009-european-conference-keynote-james-dalziel.webp "Abstract:nnLearning Design can be seen as a reaction against the impoverished teaching and learning theory underlying online courseware and related technical standards. In particular, Learning Design drew attention to the astonishing absence of collaborative learning in many early e-learning approaches. By way of a solution, Learning Design sought to build a more comprehensive model of educational activities and processes that could encompass many different pedagogical methods. The goal of this")
_dsci-seminar-tom-mitchell-using-machine-learning-to-study-how-brains-represent-language-meaning.webp "How does the human brain use neural activity to create and represent meanings of words, phrases, sentences and stories?One way to study this question is to give people text to read, while scanning their brain.We have been doing such experiments with fMRI (1 mm spatial resolution) and MEG (1 msec time resolution) brain imaging, and developing novel machine learning approaches to analyzing this data.As a result, we have learned answers to questions such as")
_data-driven-machine-learning-approaches-to-monitor-and-forecast-the-dynamics-of-disease-outbreaks.webp "I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I will present how these approaches can be used to build early warning systems to anticipate COVID-19 outbreaks.nnMauricio Santillana, PhD, is the dir")
_detecting-botnet-activity-using-machine-learning-jill-slay.webp "The Internet of Things (IoT) is a network of interconnected everyday objects (“things”) that have been augmented with a small measure of computing capabilities. Lately, the IoT has been affected by a variety of different botnet activities. As botnets have been the cause of serious security risks and financial damage over the years, existing network forensic techniques cannot identify and track current sophisticated methods of botnets. This is because commercial tools mainly depend on signatu")
_makes-this-world-live-young-again-mp4.webp "The making of “Makes This World Live Young Again” animation video is a creative climate movement. We need a tool for transformative change – and what to transform. Human’s impact on the natural environment and lives on Earth have now reached a critical stage, threatening to destabilize society and economy. But through environmental thinking and necessary action across cultural activity, we create entertainment and edutainment to turn it into global education. For songwriter-cum-animation")
_first-steps-to-innovation.webp "Most organizations respond to change in 4 different ways.n1. We seek to introduce new products/services or tweak existing products and services to create incremental value in our existing market. Towards this, we use our existing capabilities, process, and assets and sometimes in very creative ways. In some cases, we seek new geographies to expand our markets. 2. A second option is to bring newer technology/process to your existing market and create a technological disruption. This is what Ola")
_greg-mori-on-deep-structured-models-for-human-activity-recognition.webp "Visual recognition involves reasoning about structured relations at multiple levels of detail. For example, human behaviour analysis requires comprehensive labeling covering individual low-level actions to pair-wise interactions through to high-level events. Scene understanding can benefit from considering labels and their inter-relations. In this talk, Prof. Greg Mori presents recent work by his group building deep learning approaches capable of modeling these structures.")
_92.webp "Keynote Title: What Can We Learn from Play?nnKeynote Lecturer: Panos MarkopoulosnPresented on: 27/04/2021, Online StreamingnnAbstract: This talk shall review the design of a number of games designed with the purpose of supporting motor learning, social skills, and encouraging physical activity and social interaction for various user groups emphasizing on the role of embodiment in interaction. It will also demonstrate how games can be valuable media for learning about people and I discuss the pot")
_learning-together.webp "Introducing Drug Education at Primary Schools, with parent participationnnDeveloping activities for pupils to take home and share with parents is an approach employed by most schools. However, the ‘Learning Together' concept, by asking parents and carers to come into school and work alongside the children, takes this involvement a step further.nnFor such an approach to work successfully, it is important to choose the most appropriate topics from a well-planned PSE programme. In 1998 the Govern")
![Environmental sound recognition [2] in domestic settings is crucial for smart products and automation as ambient sound contains rich information about activities. Previous approaches employ machine learning, yet, domestic contexts are highly diverse. End-users’ personal activity labels have not been studied, nor incorporated in activity recognition. This case study shows the design process of Dumbo, an interactive device designed to recognize and label human activities in a domestic environmen](https://cdn2.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol8-ZwZlAmHjAQNgBJD5ATV-ZGN1L_L0AwAvAwMvMQRkLJH0ZGOxLwMuMTMwMQD1Z_V5ZzR5ZmR0Awt0Amp5MzLlMQEyMzAzZTV3Ll1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysBQVmZwp1ZQDjYGyxBGEvBQRjAJAzAQLmLwL_LzDkZJSyAQRjMTV_LJEzL_D0AGAvBGWuBGZkAQL-AQp3BJMzZzD0MJMwMwOvA_ZgMP0lZQO-ZGHj/(HiFiMov.co)_dumbo-interactive-machine-learning-for-activity-recognition.webp "Environmental sound recognition [2] in domestic settings is crucial for smart products and automation as ambient sound contains rich information about activities. Previous approaches employ machine learning, yet, domestic contexts are highly diverse. End-users’ personal activity labels have not been studied, nor incorporated in activity recognition. This case study shows the design process of Dumbo, an interactive device designed to recognize and label human activities in a domestic environmen")
_brain-machine-interfaces-oren-shriki-ben-gurion-university-of-the-negev-israel.webp "Active and Passive Brain-Computer Interfaces: From Theory to PracticenOren Shriki, Ben-Gurion University of the Negev, IsraelnnBrain-computer interfaces (BCIs) allow for direct communication between the brain and external devices, such as computers and robots. They can be divided into active BCIs, which are used for controlling devices in real-time, and passive BCIS, which are used on longer time scales to monitor cognitive, mental, or clinical states. The first part of the talk will focus on ac")
_how-to-measure-the-roi-of-agile-learning-approaches-on-demand-webinar.webp "Sales organizations across industries face the ongoing challenge of providing their teams with learning approaches that are engaging, memorable, and effective. Unfortunately, this challenge is too often—and ineffectively—met with formal training programs that are expensive to produce, difficult to consume, and forgotten soon after they’re administered.nnIt’s time for a new approach.nnIn this on-demand Allego webinar, Peter Ostrow, Senior Research Director at SiriusDecisions, joins our ow")
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