Results 41 to 50 of about 695,054 (265)

Deep Feature Learning for Graphs

CoRR, 2017
This paper presents a general graph representation learning framework called DeepGL for learning deep node and edge representations from large (attributed) graphs. In particular, DeepGL begins by deriving a set of base features (e.g., graphlet features) and automatically learns a multi-layered hierarchical graph representation where each successive ...
Ryan A. Rossi, Rong Zhou 0001, Nesreen K. Ahmed   +2 more
openaire   +2 more sources

LOTS about attacking deep features [PDF]

2017 IEEE International Joint Conference on Biometrics (IJCB), 2017
Deep neural networks provide state-of-the-art performance on various tasks and are, therefore, widely used in real world applications. DNNs are becoming frequently utilized in biometrics for extracting deep features, which can be used in recognition systems for enrolling and recognizing new individuals.
Andras Rozsa, Manuel Günther, Terrance E. Boult   +2 more
openaire   +2 more sources

EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images

IEEE Access
The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective, depending on the clinician’s professional experience.
K. V. Naveen, B. N. Anoop, K. S. Siju, Mithun Kumar Kar, Vipin Venugopal   +4 more
doaj   +1 more source

COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features

Computation
This study investigates techniques for medical image classification, specifically focusing on COVID-19 scans obtained through computer tomography (CT).
Sadiq Alinsaif
doaj   +1 more source

A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking

IEEE Access, 2022
Recent methods for visual tracking exploit a multitude of information obtained from combinations of handcrafted and/or deep features. However, the response maps derived from these feature combinations are often fused using simple strategies such as ...
Sajid Javed, Arif Mahmood, Ihsan Ullah, Thierry Bouwmans, Majid Khonji, Jorge Manuel Miranda Dias, Naoufel Werghi   +6 more
doaj   +1 more source

Deep Learning Application to Ensemble Learning—The Simple, but Effective, Approach to Sentiment Classifying

Applied Sciences, 2019
Sentiment analysis is an active research area in natural language processing. The task aims at identifying, extracting, and classifying sentiments from user texts in post blogs, product reviews, or social networks.
Thien Khai Tran, Tuoi Thi Phan
doaj   +1 more source

iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations

IEEE Access, 2022
In the biological systems, Acetylation is a crucial post-translational modification, prevalent in various physiological functions and pathological conditions like carcinoma and malignancies.
Sheraz Naseer, Suliman Mohamed Fati, Amgad Muneer, Rao Faizan Ali   +3 more
doaj   +1 more source

Cup‐Like Nuclei Is a Hallmark of DUX4/ERG Acute Lymphoblastic Leukemia and Reveals Cytoplasmic Mitochondria Accumulation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille, Hugo Roux, Odile Fenneteau, Aurélie Caye‐Eude, Alexia Kinoo, Yoann Vial, André Baruchel, Marion Strullu, Elodie Lainey, Hélène Cavé   +9 more
wiley   +1 more source

Deep Fishing: Gradient Features from Deep Nets [PDF]

Procedings of the British Machine Vision Conference 2015, 2015
To appear at BMVC ...
Albert Gordo, Adrien Gaidon, Florent Perronnin   +2 more
openaire   +2 more sources

Genomic Diversity and Clinical Variability in Pediatric Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Series

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger, Efrat Bar‐Ilan, Victoria Marcu, Evgeny Grishin, Rinat Yacobi, Aviv Barzilai, Hana Golan, Assaf Arie Barg   +7 more
wiley   +1 more source