Ramirez, William Achanccaray, Pedro Pacheco, Marco Aurelio
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Sea monitoring is essential for a better understanding of its dynamics and to measure the impact of human activities. In this context, remote sensing plays an important role by providing satellite imagery every day, even in critical climate conditions, for the detection of sea events with a potential risk to the environment. The present work propos...
Lo, Shaw-Hwa Yin, Yiqiao
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In the field of eXplainable AI (XAI), robust “blackbox” algorithms such as Convolutional Neural Networks (CNNs) are known for making high prediction performance. However, the ability to explain and interpret these algorithms still require innovation in the understanding of influential and, more importantly, explainable features that directly or ind...
James, Stefanie Harbron, Chris Branson, Janice Sundler, Mimmi
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Synthetic data is a rapidly evolving field with growing interest from multiple industry stakeholders and European bodies. In particular, the pharmaceutical industry is starting to realise the value of synthetic data which is being utilised more prevalently as a method to optimise data utility and sharing, ultimately as an innovative response to the...
Kazim, Emre Almeida, Denise Kingsman, Nigel Kerrigan, Charles Koshiyama, Adriano Lomas, Elizabeth Hilliard, Airlie
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The publication of the UK’s National Artificial Intelligence (AI) Strategy represents a step-change in the national industrial, policy, regulatory, and geo-strategic agenda. Although there is a multiplicity of threads to explore this text can be read primarily as a ‘signalling’ document. Indeed, we read the National AI Strategy as a vision for inno...
Gururaj, H. L. Flammini, Francesco Kumari, H. A. Chaya Puneeth, G. R. Kumar, B. R. Sunil
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The mechanism of action is an important aspect of drug development. It can help scientists in the process of drug discovery. This paper provides a machine learning model to predict the mechanism of action of a drug. The machine learning models used in this paper are Binary Relevance K Nearest Neighbors (Type A and Type B), Multi-label K-Nearest Nei...
Sekmen, Ali Parlaktuna, Mustafa Abdul-Malek, Ayad Erdemir, Erdem Koku, Ahmet Bugra
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This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels. The first method creates M deep convolutional neural networks called {DCNNi}i=1M\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{w...
Hu, Tianmeng Luo, Biao Yang, Chunhua
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Autonomous driving is an important development direction of automobile technology, and driving strategy is the core of the autonomous driving system. Most works in this area focus on single-objective tasks, such as maximizing vehicle speed or lane-keeping, and rare attention has been paid to the quality of driving skills. Therefore, a multi-objecti...
Divya, C. D. Gururaj, H. L. Rohan, R. Bhagyalakshmi, V. Rashmi, H. A. Domnick, A. Flammini, Francesco
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Iridology is a technique in science used to analyze color, patterns, and various other properties of the iris to assess an individual's general health. Few regions in the iris are connected by nerves coming from different organs of body, this shows some special unique qualities which is advantageous along with which assist in psychological conditio...
Bento, Vitor Kohler, Manoela Diaz, Pedro Mendoza, Leonardo Pacheco, Marco Aurelio
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In this work we propose a workflow to deal with overlaid images—images with superimposed text and company logos—, which is very common in underwater monitoring videos and surveillance camera footage. It is demonstrated that it is possible to use Explaining Artificial Intelligence to improve deep learning models performance for image classification ...
Henz, Patrick
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“In civilized life, law floats in a sea of ethics”, a quote by the former Chief Justice of the United States, Earl Warren. In a democratic society, the constitution defines the country’s values, and the laws define the preferred or at least still tolerated behavior, making deviations sanctionable. As the society is in a continuous flow, also based ...