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Outputs (400)

Does semantics aid syntax? An empirical study on named entity recognition and classification (2021)
Journal Article
Zhong, X., Cambria, E., & Hussain, A. (2022). Does semantics aid syntax? An empirical study on named entity recognition and classification. Neural Computing and Applications, 34, 8373-8384. https://doi.org/10.1007/s00521-021-05949-0

Many researchers jointly model multiple linguistic tasks (e.g., joint modeling of named entity recognition and named entity classification and joint modeling of syntactic parsing and semantic parsing) with an implicit assumption that these individual... Read More about Does semantics aid syntax? An empirical study on named entity recognition and classification.

COVID-19 UK Social Media Dataset for Public Health Research (2021)
Data
Plant, R., Hussain, A., & Sheikh, A. (2021). COVID-19 UK Social Media Dataset for Public Health Research. [Dataset]. https://doi.org/10.17869/enu.2021.2755974

We present a benchmark database of public social media postings from the United Kingdom related to the Covid-19 pandemic for academic research purposes, along with some initial analysis, including a taxonomy of key themes organised by keyword. This r... Read More about COVID-19 UK Social Media Dataset for Public Health Research.

A novel domain activation mapping-guided network (DA-GNT) for visual tracking (2021)
Journal Article
Tu, Z., Zhou, A., Gan, C., Jiang, B., Hussain, A., & Luo, B. (2021). A novel domain activation mapping-guided network (DA-GNT) for visual tracking. Neurocomputing, 449, 443-454. https://doi.org/10.1016/j.neucom.2021.03.056

Conventional convolution neural network (CNN)-based visual trackers are easily influenced by too much background information in candidate samples. Further, extreme imbalance of foreground and background samples has a negative impact on training the c... Read More about A novel domain activation mapping-guided network (DA-GNT) for visual tracking.

Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images (2021)
Journal Article
He, Y., Gao, F., Wang, J., Hussain, A., Yang, E., & Zhou, H. (2021). Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3846-3859. https://doi.org/10.1109/jstars.2021.3068530

Common horizontal bounding box-based methods are not capable of accurately locating slender ship targets with arbitrary orientations in synthetic aperture radar (SAR) images. Therefore, in recent years, methods based on oriented bounding box (OBB) ha... Read More about Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images.

A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling (2021)
Journal Article
Farouq, M. W., Boulila, W., Hussain, Z., Rashid, A., Shah, M., Hussain, S., Ng, N., Ng, D., Hanif, H., Shaikh, M. G., Sheikh, A., & Hussain, A. (2021). A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling. Sensors, 21(6), Article 2190. https://doi.org/10.3390/s21062190

Machine learning (ML)-based algorithms are playing an important role in cancer diagnosis and are increasingly being used to aid clinical decision-making. However, these commonly operate as ‘black boxes’ and it is unclear how decisions are derived. Re... Read More about A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling.

A novel explainable machine learning approach for EEG-based brain-computer interface systems (2021)
Journal Article
Ieracitano, C., Mammone, N., Hussain, A., & Morabito, F. C. (2022). A novel explainable machine learning approach for EEG-based brain-computer interface systems. Neural Computing and Applications, 34, 11347-11360. https://doi.org/10.1007/s00521-020-05624-w

Electroencephalographic (EEG) recordings can be of great help in decoding the open/close hand’s motion preparation. To this end, cortical EEG source signals in the motor cortex (evaluated in the 1-s window preceding movement onset) are extracted by s... Read More about A novel explainable machine learning approach for EEG-based brain-computer interface systems.

Discriminative Dictionary Design for Action Classification in Still Images and Videos (2021)
Journal Article
Roy, A., Banerjee, B., Hussain, A., & Poria, S. (2021). Discriminative Dictionary Design for Action Classification in Still Images and Videos. Cognitive Computation, 13, 698-708. https://doi.org/10.1007/s12559-021-09851-8

In this paper, we address the problem of action recognition from still images and videos. Traditional local features such as SIFT and STIP invariably pose two potential problems: 1) they are not evenly distributed in different entities of a given cat... Read More about Discriminative Dictionary Design for Action Classification in Still Images and Videos.

A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect (2021)
Journal Article
Guellil, I., Adeel, A., Azouaou, F., Benali, F., Hachani, A., Dashtipour, K., Gogate, M., Ieracitano, C., Kashani, R., & Hussain, A. (2021). A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect. SN Computer Science, 2, Article 118. https://doi.org/10.1007/s42979-021-00510-1

In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and its dialects. This approach is based on a sentiment corpus, constructed automatically and reviewed manually by Algerian dialect native speakers. This approach c... Read More about A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect.

A Multipath Fusion Strategy Based Single Shot Detector (2021)
Journal Article
Qu, S., Huang, K., Hussain, A., & Goulermas, Y. (2021). A Multipath Fusion Strategy Based Single Shot Detector. Sensors, 21(4), Article 1360. https://doi.org/10.3390/s21041360

Object detection has wide applications in intelligent systems and sensor applications. Compared with two stage detectors, recent one stage counterparts are capable of running more efficiently with comparable accuracy, which satisfy the requirement of... Read More about A Multipath Fusion Strategy Based Single Shot Detector.