Multi-layer adaptive spatial-temporal feature fusion network for efficient food image recognition
S Phiphitphatphaisit, O Surinta - Expert Systems with Applications, 2024 - Elsevier
Numerous deep learning methods have been developed to tackle the challenges of
recognizing food images, including convolutional neural networks, deep feature extraction …
recognizing food images, including convolutional neural networks, deep feature extraction …
Discovering NDM-1 inhibitors using molecular substructure embeddings representations
Abstract NDM-1 (New-Delhi-Metallo-β-lactamase-1) is an enzyme developed by bacteria
that is implicated in bacteria resistance to almost all known antibiotics. In this study, we …
that is implicated in bacteria resistance to almost all known antibiotics. In this study, we …
Multiple Instance Learning Based on Mol2vec Molecular Substructure Embeddings for Discovery of NDM-1 Inhibitors
In this paper, we first present a new dataset of NDM-1 biological activities that is compiled by
a cleaned version of the NMDI database. A literature review enriched the former database …
a cleaned version of the NMDI database. A literature review enriched the former database …
Deep Learning Approach for Food Image Recognition
S Phiphitphatphaisit, O Surinta - 2022 - 202.28.34.124
Food image recognition plays an important role in healthcare applications that monitor
eating habits, dietary, nutrition, etc. Therefore, different deep learning approaches are …
eating habits, dietary, nutrition, etc. Therefore, different deep learning approaches are …
Clinical profile prediction by multiple instance learning from multi-sensorial data
A Tsirtsi, EI Zacharaki, S Kalogiannis… - 2019 10th …, 2019 - ieeexplore.ieee.org
The last years there is a great interest in developing unobtrusive health monitoring systems
with a predictive component, aiming to recognize signs of illness in an attempt to assist …
with a predictive component, aiming to recognize signs of illness in an attempt to assist …
[PDF][PDF] Leveraging FINCH and K-means for Enhanced Cluster-Based Instance Selection
P Zotou, K Bacharidis, A Argyros - users.ics.forth.gr
We introduce a novel instance selection method, which integrates FINCH and the K-means
clustering algorithms into a unified process for improved instance selection. Initially, FINCH …
clustering algorithms into a unified process for improved instance selection. Initially, FINCH …
[引用][C] Κατηγοριοποίηση ιστοπαθολογικών εικόνων με χρήση μηχανικής μάθησης πολλαπλών στιγμιότυπων
Β Βαρέλης - 2021