Vahid Seydi
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View article: Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation
Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation Open
Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including imag…
View article: Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Open
Recent advancements in semi-supervised deep learning have introduced effective strategies for leveraging both labeled and unlabeled data to improve classification performance. This work proposes a semi-supervised framework that utilizes a …
View article: An unsupervised adversarial domain adaptation based on variational auto-encoder
An unsupervised adversarial domain adaptation based on variational auto-encoder Open
Collecting a large amount of labeled data in machine learning is always challenging. Often, even with sufficient data, domain differences can cause a shift or bias in data distribution, affecting model performance during testing. Domain ad…
View article: Entangled appearance and motion structures network for multi-object tracking and segmentation
Entangled appearance and motion structures network for multi-object tracking and segmentation Open
The object segmentation mask’s observation sequence shows the trend of changes in the object’s observable geometric form, and predicting them may assist in solving various difficulties in multi-object tracking and segmentation (MOTS). With…
View article: Variational inference based adversarial domain adaptation
Variational inference based adversarial domain adaptation Open
Deep learning methods demand enormous amounts of labeled data. Although collecting labeled data is a challenge but it can be accomplished with difficulty. Nevertheless, domain shift or bias may occur due to some conditions. Recollecting da…
View article: Sentiment Analysis with Graph Convolutional Networks using directed PMI
Sentiment Analysis with Graph Convolutional Networks using directed PMI Open
Sentiment analysis is a fast-growing area of research in natural language processing (NLP) and more specifically text classification which makes it possible to automatically detect the sentiment of data and is used in a wide range of appli…
View article: Building semi-supervised decision trees with semi-cart algorithm
Building semi-supervised decision trees with semi-cart algorithm Open
Decision trees are a fundamental statistical learning tool for addressing classification and regression problems through a recursive partitioning approach that effectively accommodates numerical and categorical data [1, 2]. The Classificat…
View article: A motif-based probabilistic approach for community detection in complex networks
A motif-based probabilistic approach for community detection in complex networks Open
Community detection in complex networks is an important task for discovering hidden information in network analysis. Neighborhood density between nodes is one of the fundamental indicators of community presence in the network. A community …
View article: Enhancing Object Tracking with Adaptive Spatial-Temporal Regularization Correlation Filter Models
Enhancing Object Tracking with Adaptive Spatial-Temporal Regularization Correlation Filter Models Open
View article: Machine learning in marine ecology: an overview of techniques and applications
Machine learning in marine ecology: an overview of techniques and applications Open
Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first…
View article: Improving graph prototypical network using active learning
Improving graph prototypical network using active learning Open
Due to the growth of using various devices and applications in modern life, the amount of data available is skyrocketing, but labeling all of this data is beyond the reach of data scientists. Thus, it is necessary to categorize data with a…
View article: A random forest‐regression‐based inverse‐modeling evolutionary algorithm using uniform reference points
A random forest‐regression‐based inverse‐modeling evolutionary algorithm using uniform reference points Open
The model-based evolutionary algorithms are divided into three groups: estimation of distribution algorithms, inverse modeling, and surrogate modeling. Existing inverse modeling is mainly applied to solve multi-objective optimization probl…
View article: Community detection in weighted networks using probabilistic generative model
Community detection in weighted networks using probabilistic generative model Open
Community detection in networks is a useful tool for detecting the behavioral and inclinations of users to a specific topic or title. Weighted, unweighted, directed, and undirected networks can all be used for detecting communities dependi…
View article: A Survey on Adversarial Domain Adaptation
A Survey on Adversarial Domain Adaptation Open
Having a lot of labeled data is always a problem in machine learning issues. Even by collecting lots of data hardly, shift in data distribution might emerge because of differences in source and target domains. The shift would make the mode…
View article: The application of neural networks to classify dolphin echolocation clicks
The application of neural networks to classify dolphin echolocation clicks Open
Passive acoustic monitoring (PAM) is a common approach to monitor marine mammal populations, for species of dolphins, porpoises and whales that use sound for navigation, feeding and communication. PAM produces large datasets which benefit …
View article: Analysis of Structural Features in Rumor Conversations Detection in Twitter
Analysis of Structural Features in Rumor Conversations Detection in Twitter Open
Today, online social media with numerous users from ordinary citizens to top government officials, organizations, artists and celebrities, etc. is one of the most important platforms for sharing information and communication.These media pr…
View article: Sequential Multi-objective Genetic Algorithm
Sequential Multi-objective Genetic Algorithm Open
Many of the real-world issues have multiple conflicting objectives that the optimization between contradictory objectives is very difficult. In recent years, the Multi-objective Evolutionary Algorithms (MOEAs) have shown great performance …
View article: Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm
Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm Open
Digital images watermarking is a method for data hiding that ensures the security of multimedia data. In these ways, a watermark can be a digital image or data stored within digital content. The Shearlet transform, a multi-resolution and m…
View article: Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification Open
View article: Deep visual unsupervised domain adaptation for classification tasks: a survey
Deep visual unsupervised domain adaptation for classification tasks: a survey Open
Learning methods are challenged when there is not enough labelled data. It gets worse when the existing learning data have different distributions in different domains. To deal with such situations, deep unsupervised domain adaptation tech…
View article: Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm
Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm Open
This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the…