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Data augmentation is a powerful strategy used to enhance the quality and quantity of training datase...
counterfactual reasoning and data augmentation for NLP and multimodal.
Learn how data augmentation enriches machine learning models with diverse datasets. Explore its ben...
Generative AI, How to train a Data Model, Generative AI is a subset of Artificial Intelligence (AI) ...
Review of Do and Batzoglou. "What is the expectation maximization algorith?" Nat. Biotechn...
Kyeong Soo Kim, "On the multi-dimensional augmentation of fingerprint data for indoor localizat...
elf-Organizing Maps (SOMs): Clustering algorithm that organizes data in a low-dimensional grid form...
If you want a chatbot or virtual assistant that truly helps customers — understands intent, extrac...
The volume of data created, captured, copied, and consumed worldwide has increased from 2 zettabytes...
Unsupervised neural networks are a type of artificial neural network designed to learn patterns and ...
Artificial intelligence (AI) accelerates academic research by automating literature reviews, enhanci...
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-dr...
This paper presents a study on the classification of traditional Tasikmalaya batik motifs using conv...
Slides for the talk delivered as part of EGOV-CeDEM-ePart 2024 (EGOV2024) conference. Recognizing th...
Tremendous amounts of effort have been carried out every year by the governments of all the countrie...
This study presents a machine learning-based approach for proactive video codec error detection, ens...
Ensuring the sustainability of global food production requires efficient plant disease detection, ch...
In the domain of digital advertising, a principal imperative is the precise identification and engag...
The detection of brain tumors is one of the most critical challenges in modern medical science, due ...
Presented by Vladimir Iglovikov: - https://www.linkedin.com/in/iglovikov/ - https://x.com/viglovikov...
Dataset Augmentation in Deep Learning with NLP Concepts explained with various examples
A cloud solution to perfect your BBQ skills.
Consists of GPS receivers, which can be found in devices like smartphones, car navigation systems, ...
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
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