Results 21 to 30 of about 5,431 (217)

Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]

Advances in Engineering and Intelligence Systems
Accurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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Improving ΔΔG predictions with a multi-task convolutional Siamese Network

, 2021
The lead optimization phase of drug discovery refines an initial hit molecule for desired properties, especially potency. Synthesis and experimental testing of the small perturbations during this refinement can be quite costly and time ...
Andrew, McNutt, David, Koes
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Siamese neural network architecture for homoglyph attacks detection

ICT Express, 2020
Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain name,
Vinayakumar R., Soman K.P.
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How do Software Bugs Affect the Siamese Neural Network? An Empirical Study

, 2023
Anonymous submission for "How do Software Bugs Affect the Siamese Neural Network?
Anonymous
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Host-Based Intrusion Detection Model Using Siamese Network

IEEE Access, 2021
As cyberattacks become more intelligent, the difficulty increases for traditional intrusion detection systems to detect advanced attacks that deviate from previously stored patterns. To solve this problem, a deep learning-based intrusion detection system
Daekyeong Park, Sangsoo Kim, Hyukjin Kwon, Dongil Shin, Dongkyoo Shin   +4 more
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Research on few-shot power detection of siamese network based on improved RPN

Journal of Hebei University of Science and Technology, 2023
In order to solve the problems of difficulty, low efficiency, and insufficient data to support large-scale training in existing power system detection methods, a few-shot detection method based on siamese network was proposed.
Jun FENG, Sichen PAN, Shuai ZHAO, Liangying PENG, Xiongfei FAN   +4 more
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Siamese Neural Networks for Detecting Complementary Products

, 2021
Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment.
Dunn, Bas,, Marina Angelovska, Sina Sheikholeslami, Payberah, Amir H.,, Sheikholeslami, Sina,, Bas Dunn, Amir H. Payberah, Angelovska, Marina,   +7 more
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Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification

Journal of Cheminformatics, 2023
Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang, Janosch Menke, Jiazhen He, Eva Nittinger, Christian Tyrchan, Oliver Koch, Hongtao Zhao   +6 more
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Implementasi Siamese Convolutional Neural Network pada Citra Sel untuk Identifikasi Penyakit Malaria [PDF]

, 2020
Siamese convolutional neural network adalah suatu arsitektur yang menggunakan dua buah convolutional neural network dengan bobot dan parameter yang sama pada tiap layer.
Devani, Devi
core  

Optimization Method for Classifier Output Repeatability Based on Siamese Networks [PDF]

Jisuanji gongcheng
In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading.
YU Yongtao, SUN Ao, LI Ang, ZHU Linlin
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