Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges by Muhammad Usama (3629090)

“…In addition, unsupervised learning can unconstrain us from the need for labeled data and manual handcrafted feature engineering, thereby facilitating flexible, general, and automated methods of machine learning. …”

Unsupervised Urban Tree Biodiversity Mapping from Street Imagery by Abuhani, Diaa Addeen

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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation by Alhusari, Khaldoon

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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil (11513178)

“…<p dir="ltr">Detecting anomalies in dynamic graphs is a complex yet essential task, as existing methods often fail to capture long-term dependencies required for identifying irregularities in evolving networks. …”

Target Detection Using Learning Methods by Sahnoon, Mohammad Moufeed

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Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

“…Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. In order to detect the anomalies in a dataset in an unsupervised manner, some novel statistical techniques are proposed in this paper. …”

Unsupervised word-level affect analysis and propagation in a lexical knowledge graph by Fares, Mireille

“…In this paper, we introduce LISA, an unsupervised word-level knowledge graph-based LSA framework. …”
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

“…With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. …”

The role of Reinforcement Learning in software testing by Amr Abo-eleneen (17032284)

“…<h3>Context</h3><p dir="ltr">Software testing is applied to validate the behavior of the software system and identify flaws and bugs. Different machine learning technique types such as supervised and unsupervised learning were utilized in software testing. …”

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

“…<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. …”

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

“…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …”
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Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator by Fatemeh Negar Irani (22302835)

“…Aiming at these problems, this study develops a novel unsupervised data-driven FD strategy based on leveraging the potential of <u>transfer learning</u> and the Koopman operator. …”

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…However, research has shown that the adversarial vulnerabilities of deep learning networks manifest themselves when DL is used for NLP tasks. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…However, research has shown that the adversarial vulnerabilities of deep learning networks manifest themselves when DL is used for NLP tasks. …”
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Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System by M. Sajid (3070545)

“…To enhance the feature learning capabilities of edRVFL, we propose a novel edRVFL based on fuzzy inference system (edRVFL-FIS). …”

A systematic review of artificial intelligence applications for indoor air quality monitoring in educational settings by P.K. Hashir (22921157)

“…The review identifies successful implementations of AI in educational settings, highlighting applications such as supervised and unsupervised learning for pollutant prediction, anomaly detection, and reinforcement learning (RL) for heating, ventilation, and air conditioning (HVAC) optimization. …”

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures by Irfan Ali Kandhro (17541876)

“…The proposed framework contrasts the unsupervised and deep learning-based discriminative approaches. …”

Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

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Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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