Sfoglia per Soggetto "Classification tasks"
Items 1-8 di 8
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Bagged nonlinear Hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
(2012)Learning of fuzzy cognitive maps (FCMs) is one of the most useful characteristics which have a high impact on modeling and inference capabilities of them. The learning approaches for FCMs are concentrated on learning the ... -
A Custom State LSTM Cell for Text Classification Tasks
(2022)Text classification is the task of assigning a class to a document. Machine Learning enables the automation of Text Classification Tasks, amongst others. Recent advances in the Machine Learning field, such as the introduction ... -
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
(2021)In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker. We first formulate the user experience ... -
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
(2020)Focusing on prostate cancer patients, this research paper addresses the problem of bone metastasis diagnosis, investigating the capabilities of convolutional neural networks (CNN) and transfer learning. Considering the ... -
Ensemble classification through random projections for single-cell RNA-seq data
(2020)Nowadays, biomedical data are generated exponentially, creating datasets for analysis with ultra-high dimensionality and complexity. An indicative example is emerging single-cell RNA-sequencing (scRNA-seq) technology, which ... -
Exploring deep learning capabilities in knee osteoarthritis case study for classification
(2019)This research study is devoted to the investigation of deep neural networks (DNN) for classification of the complex problem of knee osteoarthritis diagnosis. Osteoarthritis (OA) is the most common chronic condition of the ... -
Heterogeneous data fusion and selection in high-volume molecular and imaging datasets
(2012)In this work, two disparate datasets, concerning the study of the same physiological type of cutaneous melanoma but derived from different donors, one of image (dermatoscopy) and the other of molecular (trascriptomic ... -
Recognition of urban sound events using deep context-aware feature extractors and handcrafted features
(2019)This paper proposes a method for recognizing audio events in urban environments that combines handcrafted audio features with a deep learning architectural scheme (Convolutional Neural Networks, CNNs), which has been trained ...