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20142026
most citedDriving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks

233 citations · 1.1k across the 115 of their papers we have counts for

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Showing 2018Show all

12 papers · 1 filter

cs.GR2018

ABC: A Big CAD Model Dataset For Geometric Deep Learning

Sebastian Koch, Albert Matveev, Zhongshi Jiang +6

We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collectio…

cs.HC2018

Esports Athletes and Players: a Comparative Study

Nikita Khromov, Alexander Korotin, Andrey Lange +3

We present a comparative study of the players' and professional players' (athletes') performance in Counter Strike: Global Offensive (CS:GO) discipline. Our study is based on ubiqu…

cs.LG2018

Gaussian Process Classification for Variable Fidelity Data

Nikita Klyuchnikov, Evgeny Burnaev

In this paper we address a classification problem where two sources of labels with different levels of fidelity are available. Our approach is to combine data from both sources by…

cs.LG2018★ 121 cited

Anonymous Walk Embeddings

Sergey Ivanov, Evgeny Burnaev

The task of representing entire graphs has seen a surge of prominent results, mainly due to learning convolutional neural networks (CNNs) on graph-structured data. While CNNs demon…

cs.LG2018

Data-driven model for the identification of the rock type at a drilling bit

Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev +12

Directional oil well drilling requires high precision of the wellbore positioning inside the productive area. However, due to specifics of engineering design, sensors that explicit…

cs.CV2018

fMRI: preprocessing, classification and pattern recognition

Maxim Sharaev, Alexander Andreev, Alexey Artemov +5

As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment ou…