Artificial Intelligence Security and Privacy
First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part I
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Book and Conference Proceedings
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Book and Conference Proceedings
Artificial Intelligence Security and Privacy
First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part II
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Book and Conference Proceedings
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Chapter and Conference Paper
Trustworthiness of \(\mathbb {X}\) Users: A One-Class Classification Approach
\(\mathbb {X}\) X (formerly Twitter) is a prominent online social media platform that plays...
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Article
Open AccessTransformers for cardiac patient mortality risk prediction from heterogeneous electronic health records
With over 17 million annual deaths, cardiovascular diseases (CVDs) dominate the cause of death statistics. CVDs can deteriorate the quality of life drastically and even cause sudden death, all the while induci...
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Chapter and Conference Paper
Learning Distinct Features Helps, Provably
We study the diversity of the features learned by a two-layer neural network trained with the least squares loss. We measure the diversity by the average
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Chapter and Conference Paper
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and St...
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Chapter and Conference Paper
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolu...
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Chapter
Classification of SAR Images Using Compact Convolutional Neural Networks
Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using ...
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Article
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization
Deep Learning provided powerful tools for forecasting financial time series data. However, despite the success of these approaches on many challenging financial forecasting tasks, it is not always straightforw...
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Article
Open AccessExploiting heterogeneity in operational neural networks by synaptic plasticity
The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogen...
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Article
Open AccessCOVID-19 infection map generation and detection from chest X-ray images
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to ...
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Book and Conference Proceedings
Image and Graphics
11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part I
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Book and Conference Proceedings
Image and Graphics
11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part III
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Book and Conference Proceedings
Image and Graphics
11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II
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Chapter and Conference Paper
Human Action Recognition Using Recurrent Bag-of-Features Pooling
Bag-of-Features (BoF)-based models have been traditionally used for various computer vision tasks, due to their ability to provide compact semantic representations of complex objects, e.g., images, videos, etc...
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Article
Open AccessOperational neural networks
Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on t...
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Article
Feature synthesis for image classification and retrieval via one-against-all perceptrons
Most existing content-based image retrieval and classification systems rely on low-level features which are automatically extracted from images. However, often these features lack the discrimination power need...
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Book and Conference Proceedings
MultiMedia Modeling
24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part I
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Book and Conference Proceedings
MultiMedia Modeling
24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part II
