Results 91 to 100 of about 329,662 (331)

The Accuracy of the Demographic Inferences Shown on Google's Ad Settings [PDF]

arXiv, 2018
Google's Ad Settings shows the gender and age that Google has inferred about a web user. We compare the inferred values to the self-reported values of 501 survey participants. We find that Google often does not show an inference, but when it does, it is typically correct.
arxiv  

CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy

Advanced Science, EarlyView.
CeiTEA, a novel hierarchical clustering algorithm based on topological entropy, effectively captures complex structures underlying data. By constructing an adaptive multi‐nary partition tree, CeiTEA reveals hierarchical structures and local diversifications, outperforming existing methods in clustering accuracy and consistency and providing the ...
Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li   +3 more
wiley   +1 more source

Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes

Ophthalmology and Therapy
Introduction While many deep learning systems (DLSs) for diabetic retinopathy (DR) have been developed and validated on cohorts with an average age of 50s or older, fewer studies have examined younger individuals.
Antonio Tan-Torres, Pradeep A. Praveen, Divleen Jeji, Arthur Brant, Xiang Yin, Lu Yang, Preeti Singh, Tayyeba Ali, Ilana Traynis, Dushyantsinh Jadeja, Rajroshan Sawhney, Dale R. Webster, Naama Hammel, Yun Liu, Kasumi Widner, Sunny Virmani, Pradeep Venkatesh, Jonathan Krause, Nikhil Tandon   +18 more
doaj   +1 more source

Barren plateaus in quantum neural network training landscapes

Nature Communications, 2018
Gradient-based hybrid quantum-classical algorithms are often initialised with random, unstructured guesses. Here, the authors show that this approach will fail in the long run, due to the exponentially-small probability of finding a large enough gradient
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven   +4 more
doaj   +1 more source

Private Information Disclosure from Web Searches. (The case of Google Web History) [PDF]

arXiv, 2010
As the amount of personal information stored at remote service providers increases, so does the danger of data theft. When connections to remote services are made in the clear and authenticated sessions are kept using HTTP cookies, data theft becomes extremely easy to achieve.
arxiv  

Google matrix

Scholarpedia, 2016
Fil: Shepelyansky, Dima.
Ermann, Leonardo, Frahm, Klaus, Shepelyansky, Dima   +2 more
openaire   +2 more sources

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

STELA: a community-centred approach to norm elicitation for AI alignment

Scientific Reports
Value alignment, the process of ensuring that artificial intelligence (AI) systems are aligned with human values and goals, is a critical issue in AI research.
Stevie Bergman, Nahema Marchal, John Mellor, Shakir Mohamed, Iason Gabriel, William Isaac   +5 more
doaj   +1 more source

Manipulating Google Scholar Citations and Google Scholar Metrics: simple, easy and tempting [PDF]

Delgado Lopez-Cozar, Emilio; Robinson-Garcia, Nicolas; Torres Salinas, Daniel (2012). Manipulating Google Scholar Citations and Google Scholar Metrics: simple, easy and tempting. EC3 Working Papers 6: 29 May, 2012, 2012
The launch of Google Scholar Citations and Google Scholar Metrics may provoke a revolution in the research evaluation field as it places within every researchers reach tools that allow bibliometric measuring. In order to alert the research community over how easily one can manipulate the data and bibliometric indicators offered by Google s products we ...
arxiv  

Incorporating economic multipliers in a bid adjustment algorithm for public food procurement decision making

Applied Economic Perspectives and Policy, EarlyView.
Abstract We present an adjusted bid price mechanism that incorporates economic multiplier effects in public food procurement decision making. Under Input–Output model assumptions, the algorithm estimates enhanced tax revenues to state governments through multiplier effects associated with in‐state supplier purchasing.
Todd M. Schmit, Xiaoyan Liu
wiley   +1 more source