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DiLBERT: Cheap Embeddings for Disease Related Medical NLP
IEEE Access, 2021 Electronic Health Records include health-related information, among which there is text mentioning health conditions and diagnoses. Usually, text is also coded using appropriate terminologies and classifications.
Kevin Roitero +3 more
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Representing Time Series Data in Intelligent Training Systems
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Many of the most popular intelligent training systems, including driving and flight simulators, generate user time series data. This paper presents a comparison of representation options for two different student modeling problems: 1) early failure ...
Shengnan Hu +5 more
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Expect: EXplainable Prediction Model for Energy ConsumpTion
Mathematics, 2022 With the steady growth of energy demands and resource depletion in today’s world, energy prediction models have gained more and more attention recently.
Amira Mouakher +3 more
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Target Selection Strategies for Demucs-Based Speech Enhancement
Applied Sciences, 2023 The Demucs-Denoiser model has been recently shown to achieve a high level of performance for online speech enhancement, but assumes that only one speech source is present in the fed mixture.
Caleb Rascon, Gibran Fuentes-Pineda
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A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
Sensors, 2022 Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, or modeling the energy usage ...
Aitor Almeida +7 more
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Applied Sciences, 2023 Identifying genes associated with autism spectrum disorder (ASD) is crucial for understanding the underlying mechanisms of the disorder. However, ASD is a complex condition involving multiple mechanisms, and this has resulted in an unclear understanding ...
Apichat Suratanee, Kitiporn Plaimas
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Pharmaceutics, 2023 Advances in machine learning (ML) and the availability of protein sequences via high-throughput sequencing techniques have transformed the ability to design novel diagnostic and therapeutic proteins.
Mehrsa Mardikoraem, Daniel Woldring
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Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks
Open Computer Science, 2022 Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks.
Adewumi Tosin +2 more
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Embeddings between Triebel-Lizorkin Spaces on Metric Spaces Associated with Operators
Analysis and Geometry in Metric Spaces, 2020 We consider the general framework of a metric measure space satisfying the doubling volume property, associated with a non-negative self-adjoint operator, whose heat kernel enjoys standard Gaussian localization.
Georgiadis Athanasios G. +1 more
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SPADE: Superpixel Adjacency Driven Embedding for Three-Class Melanoma Segmentation
AlgorithmsThe accurate segmentation of pigmented skin lesions is a critical prerequisite for reliable melanoma detection, yet approximately 30% of lesions exhibit fuzzy or poorly defined borders.
Pablo Ordóñez +5 more
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