Supervised term-category feature weighting for improved text classification by Attieh, Joseph

“…Hence, choosing a suitable method for term weighting is of major importance and can help increase the effectiveness of the classification task. …”
Get full text
Get full text
Get full text
Get full text

Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification by Ibrar Amin (19438018)

“…<p dir="ltr">Malaria is a lethal disease responsible for thousands of deaths worldwide every year. Manual methods of malaria diagnosis are time-consuming that require a great deal of human expertise and efforts. …”

Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review by Rehaan Hussain (22302742)

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

Subjects:

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques by Vinod Kumar (48743)

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

Get full text
Get full text
Get full text
Get full text

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge by Zaulkernan, Imran

“…Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. …”
Get full text

Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

“…Selecting a suitable method for term weighting is of central importance and can improve the quality of the classification method. …”
Get full text
Get full text
Get full text
Get full text

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

Get full text

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

“…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …”

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

“…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …”
Get full text
Get full text
Get full text

A Study of the Impact of the Climate and Land-use/Land-cover (LULC) Changes on the UAE Mangrove Forests over the Period 1990-2020 by Raihan, Asif

Get full text

Video features with impact on user quality of experience by Abbas, Nadine

“…This paper proposes an evaluation method for video features with impact on user quality of experience. …”
Get full text
Get full text
Get full text
Get full text

Hyperspectral mapping of crust and mantle rocks in the UAE Al-Hajar mountains: Locating raw materials for Martian regolith simulants by Pavlopoulos, Kosmas

“…Feature extraction and hyperspectral classification such as the supervised Spectral Angle Mapper (SAM) and Spectral Feature Fitting (SFF) methods are carried out to map the different lithologies in the extended regions of interest. …”
Get full text

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

“…<p dir="ltr">While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently, there has been a rising trend of employing unsupervised machine learning using unstructured raw network data to improve network performance and provide services, such as traffic engineering, anomaly detection, Internet traffic classification, and quality of service optimization. …”

Precision nutrition: A systematic literature review by Daniel Kirk (17302798)

“…Four machine learning tasks are seen in the form of regression, classification, recommendation and clustering, with most of these utilizing a supervised approach. …”