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Found 9 papers, 2 papers with code
Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data.
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation
Deep learning can extract rich data representations if provided sufficient quantities of labeled training data.
Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning
In this paper we discuss several models we used to classify 25 city-level Arabic dialects in addition to Modern Standard Arabic (MSA) as part of MADAR shared task (sub-task 1).
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
Question semantic similarity is a challenging and active research problem that is very useful in many NLP applications, such as detecting duplicate questions in community question answering platforms such as Quora.
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems.
Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
We empirically compare our proposed workflow with some other sequence modeling-based neural networks that model seismic data only temporally.
Patient Aware Active Learning for Fine-Grained OCT Classification
For this purpose, we propose a framework that incorporates clinical insights into the sample selection process of active learning that can be incorporated with existing algorithms.
Explainable Machine Learning for Hydrocarbon Prospect Risking
On a dataset of well outcomes and corresponding geophysical attribute data, we show how LIME can induce trust in model's decisions by revealing the decision-making process to be aligned to domain knowledge.
