Los datos como eje principal en el “Estado del arte de la ciencia de datos en...
Los resultados de este estudio son una evidencia del sesgo cultural que existe entre la lengua inglesa y la española en la ciencia de datos. De los 23.771 conjuntos de datos que se encontraron con...
View Article‘Framework’ basado en imágenes parametrizadas sobre ResNet para identificar...
La continua aparición y mejora de dispositivos móviles en forma de 'smartwatches', 'smartphones' y otros dispositivos similares ha propicio un creciente y desleal interés en poner bajo la lupa y el...
View ArticleData as the main focus of “State of the art of data science in Spanish...
According to the results, there is an evidence of cultural bias for data science in Spanish language. The outcome of the consultation, which carried out on 12 April 2021, confirms that only 10 out of...
View Articlelabml.ai Deep Learning Paper Implementations
This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, and the website renders these as side-by-side...
View ArticleYOLOP: You Only Look Once for Panoptic Driving Perception
A panoptic driving perception system is an essential part of autonomous driving. A high-precision and real-time perception system can assist the vehicle in making the reasonable decision while driving....
View ArticleFramework based on parameterized images on ResNet to identify intrusions in...
The continuous appearance and improvement of mobile devices in the form of smartwatches, smartphones and other similar devices has led to a growing and unfair interest in putting their users under the...
View ArticleYOLOX: Exceeding YOLO Series in 2021
We switch the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art...
View ArticleHow to avoid machine learning pitfalls: a guide for academic researchers
This document gives a concise outline of some of the common mistakes that occur when using machine learning techniques, and what can be done to avoid them. It is intended primarily as a guide for...
View ArticleA Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of...
This paper provides a succinct overview of this emerging theory of overparameterized ML (henceforth abbreviated as TOPML) that explains these recent findings through a statistical signal processing...
View ArticleCARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual...
CARLA (Counterfactual And Recourse LibrAry), a python library for benchmarking counterfactual explanation methods across both different data sets and different machine learning models. In summary, our...
View ArticleModel-based Decision Making with Imagination for Autonomous Parking
Autonomous parking technology is a key concept within autonomous driving research. This paper will propose an imaginative autonomous parking algorithm to solve issues concerned with parking.
View ArticleHighly accurate protein structure prediction with AlphaFold
Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into...
View ArticleThe Word is Mightier than the Label: Learning without Pointillistic Labels...
We analyze the math fundamentals behind DP and demonstrate the power of it by applying it on two real-world text classification tasks. Furthermore, we compare DP with pointillistic active and...
View ArticleHuman Learn
Machine learning covers a lot of ground but it is also capable of making bad decision. We've also reached a stage of hype that folks forget that many classification problems can be handled by natural...
View ArticleDo Vision Transformers See Like Convolutional Neural Networks?
Convolutional neural networks (CNNs) have so far been the de-facto model for visual data. Recent work has shown that (Vision) Transformer models (ViT) can achieve comparable or even superior...
View ArticleIsaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Isaac Gym offers a high performance learning platform to train policies for wide variety of robotics tasks directly on GPU. Both physics simulation and the neural network policy training reside on GPU...
View ArticleAI and the Future of Skills, Volume 1
The OECD launched the Artificial Intelligence and the Future of Skills project to develop a programme that could assess the capabilities of AI and robotics and their impact on education and work. This...
View ArticleEthics-based auditing of automated decision-making systems: intervention...
Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of...
View ArticleIntroduction to Datascience: Learn Julia Programming, Math & Datascience from...
I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought...
View ArticleScientific Visualization: Python + Matplotlib
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these...
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