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ICCIT 2020 Conference Proceedings [Front matter]

2020 2020 23rd International Conference on Computer and Information Technology (ICCIT)  
Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the  ...  Various social media sites, for example, Reddit has an option to post anonymously. Privacy and anonymity help people express their thoughts freely.  ...  We have experimented with different transformer and deep learning models and provided benchmark results for detecting suicidal ideation in social media posts.  ... 
doi:10.1109/iccit51783.2020.9392749 fatcat:pz3hf7rsmzbjpe6hxjlu5tmrfq

Tag Prediction at Flickr: a View from the Darkroom [article]

Kofi Boakye, Sachin Farfade, Hamid Izadinia, Yannis Kalantidis, and Pierre Garrigues
2017 arXiv   pre-print
While deep convolutional neural networks have repeatedly demonstrated top performance on standard datasets for classification, there are a number of often overlooked but important considerations when deploying  ...  We discuss topics including how to 1) select the tags that matter most to our users; 2) develop lightweight, high-performance models for tag prediction; and 3) leverage the power of large amounts of noisy  ...  For our YFCC models, we simply trained using a randomized softmax that has been shown to perform well for multilabel classification [18] .  ... 
arXiv:1612.01922v3 fatcat:y5ek65nfancwpfg3ddk4txc7wq

Area Chairs

Adrian Clark, Alessio Bue, Ist Genova, Andrea Cavallaro, Queen Mary, Andrea Torsello, Andrew Fitzgibbon, Antonio Robles, Kelly Nicta -Canberra, Barbara Caputo, Bjorn Stenger, Edmond Boyer (+28 others)
We would like to thank all the reviewers and area chairs for their hard work and prompt responses.  ...  Foreword It is our great pleasure to welcome you to York for the 27th British Machine Vision Conference (BMVC).  ...  We believe that our results demonstrate high level of localization accuracy for our system, which could be very effective in most cases when the GPS signal is lost, for both day and nighttime.  ... 

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

Xin Yang, Yifei Wang, Ryan Byrne, Gisbert Schneider, Shengyong Yang
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides opportunities for the discovery and development of innovative drugs.  ...  Finally, several challenges and limitations of the current methods are summarized, with a view to potential future directions for AI-assisted drug discovery and design. CONTENTS  ...  Several data sources have emerged following the dramatic growth in the use of social media, wellness applications, online tools, wearable devices, and other tools.  ... 
doi:10.3929/ethz-b-000367388 fatcat:5lno7hywmva6pg3nlufgln23se