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๐Ÿ” avoidance learning ๐Ÿ“‚ Multidisciplinary & Other
Showing 519 results for "avoidance learning" in Multidisciplinary & Other
Multidisciplinary & Other Peer-Reviewed PDF DOI

Lighting-and Personal Characteristic-Aware Markov Random Field Model for Facial Image Relighting System

Ching-Ting Tu, Hwei-Jen Lin, Chin-Yu Chang ยท 2022

A learning-based image relighting framework is proposed for automatically changing the lighting conditions of facial images from one lighting source to another. Given only a 2D unseen facial testing iโ€ฆ

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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers

Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic ยท 2022

In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most cโ€ฆ

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Learning Depth Estimation From Memory Infusing Monocular Cues: A Generalization Prediction Approach

Yakun Zhou, Jinting Luo, Musen Hu, Tingyong Wu, Jinkuan Zhu, Xingzhong Xiong, Jienan Chen ยท 2022

Depth estimation from a single image is a challenging task, yet this field has a promising prospect in automatic driving and augmented reality. However, the prediction accuracy is degraded significantโ€ฆ

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Soft Label With Channel Encoding for Dependent Facial Image Classification

Bing-Fei Wu, Yi-Chiao Wu, Li-Wen Chiu, Hsuan-Po Liu ยท 2022

In classification tasks, training labels are usually specified as one-hot targets which represent each class equally and exclusively. However, this labeling rule is not suitable in some situations. Foโ€ฆ

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NASCENT: A Non-Invasive Solution for Detecting Utilization of Servers in Bare-Metal Cloud

Maruthi Seshidhar Inukonda, Atharva Rajendra Karpate, Bheemarjuna Reddy Tamma, Sparsh Mittal, Praveen Tammana ยท 2022

Physical servers are available as-a-service in bare-metal public and private cloud platforms, and their demand has been proliferating because of the high levels of privacy and security guarantees theyโ€ฆ

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SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction

Marouane Tliba, Mohamed A. Kerkouri, Bashir Ghariba, Aladine Chetouani, Arzu Coltekin, Mohamed Sami Shehata, Alessandro Bruno ยท 2022

Human visual Attention modelling is a persistent interdisciplinary research challenge, gaining new interest in recent years mainly due to the latest developments in deep learning. That is particularlyโ€ฆ

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Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control

Maryam Yalsavar, Paknoosh Karimaghaee, Akbar Sheikh-Akbari, Mohammad-Hassan Khooban, Jamshid Dehmeshki, Salah Al-Majeed ยท 2022

Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates due to its โ€ฆ

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Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Phu N. Tran, Hoang Q. V. Nguyen, Duc-Thinh Pham, Sameer Alam ยท 2022

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, aโ€ฆ

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Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers

Taeheung Kim, Jong-Seok Lee ยท 2022

The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally imโ€ฆ

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PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh ยท 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althouโ€ฆ

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A Novel Particulate Matter 2.5 Concentration Prediction Model Based on Double-Layer Decomposition and Feedback of Model Learning Effect

He Wang, Hongfeng Chen ยท 2022

Accurate and effective particulate matter 2.5(PM2.5) concentration prediction can provide early warning information for decision-making departments, so as to take governance and preventive measures. Aโ€ฆ

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Identifying Incorrect Patches in Program Repair Based on Meaning of Source Code

Quang-Ngoc Phung, Misoo Kim, Eunseok Lee ยท 2022

Automatic Program Repair (APR) techniques have shown the potential of reducing debugging costs while improving software quality by generating patches for fixing bugs automatically. However, they oftenโ€ฆ

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CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation

Rania Ramadan, Saleh Aly ยท 2022

Melanoma is considered one of the most dangerous skin cancer diseases that threaten human health and life. Early diagnosis of melanoma is a big challenge, especially with the presence of color variatiโ€ฆ

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Multicriteria Classifier Ensemble Learning for Imbalanced Data

Weronika Wegier, Michal Koziarski, Michal Wozniak ยท 2022

One of the vital problems with the imbalanced data classifier training is the definition of an optimization criterion. Typically, since the exact cost of misclassification of the individual classes isโ€ฆ

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Differential Privacy Preservation in Robust Continual Learning

Ahmad Hassanpour, Majid Moradikia, Bian Yang, Ahmed Abdelhadi, Christoph Busch, Julian Fierrez ยท 2022

Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim โ€ฆ

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Twin Delayed Deep Deterministic Policy Gradient-Based Target Tracking for Unmanned Aerial Vehicle With Achievement Rewarding and Multistage Training

Najmaddin Abo Mosali, Syariful Syafiq Shamsudin, Omar Alfandi, Rosli Omar, Najib Al-Fadhali ยท 2022

Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It requires handling a high level of nonlinearity and dynamics. Model-free control effectively handles the unceโ€ฆ

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Sentiment Analysis of Customersโ€™ Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution

Ruba Obiedat, Raneem Qaddoura, Ala' M. Al-Zoubi, Laila Al-Qaisi, Osama Harfoushi, Mo'ath Alrefai, Hossam Faris ยท 2022

Online media has an increasing presence on the restaurantsโ€™ activities through social media websites, coinciding with an increase in customersโ€™ reviews of these restaurants. These reviews become the mโ€ฆ

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Alicante-Murcia Freeway Scenario: A High-Accuracy and Large-Scale Traffic Simulation Scenario Generated Using a Novel Traffic Demand Calibration Method in SUMO

Juan Jesus Gonzalez-Delicado, Javier Gozalvez, Jesus Mena-Oreja, Miguel Sepulcre, Baldomero Coll-Perales ยท 2021

The design, testing and optimization of Vehicle to Everything (V2X), connected and automated driving and Intelligent Transportation Systems (ITS) and technologies requires mobility traces and traffic โ€ฆ

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Incremental Attribute Reduction Under Variations of the Attribute Set Based on Conflict Region

Chuanjian Yang, Gang Li ยท 2021

In real application, the attribute set of decision systems may vary with time. How to efficiently update the reduct becomes one of important tasks in the knowledge discovery. The static methods for upโ€ฆ

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BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits

Praboda Rajapaksha, Reza Farahbakhsh, Noel Crespi ยท 2021

Clickbait can be a spam or an advert which more often provides a link to commercial website and it can also be a headline to news media website which makes money from page views by providing eye-catchโ€ฆ

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