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All Outputs (19)

Preface (2018)
Presentation / Conference Contribution
Ren, J., Hussain, A., Zheng, J., Liu, C., Luo, B., Zhao, H., & Zhao, X. (2018). Preface. In Advances in Brain Inspired Cognitive Systems (V-VI). https://doi.org/10.1007/978-3-030-00563-4

Adaptation of sentiment analysis techniques to Persian language (2018)
Presentation / Conference Contribution
Dashtipour, K., Hussain, A., & Gelbukh, A. (2018). Adaptation of sentiment analysis techniques to Persian language. In Computational Linguistics and Intelligent Text Processing (129-140). https://doi.org/10.1007/978-3-319-77116-8_10

In the recent years, people all around the world share their opinions about different fields with each other over Internet. Sentiment analysis techniques have been introduced to classify these rich data based on the polarity of the opinion. Sentiment... Read More about Adaptation of sentiment analysis techniques to Persian language.

Benchmarking multimodal sentiment analysis (2018)
Presentation / Conference Contribution
Cambria, E., Hazarika, D., Poria, S., Hussain, A., & Subramanyam, R. (2018). Benchmarking multimodal sentiment analysis. In Computational Linguistics and Intelligent Text Processing (166-179). https://doi.org/10.1007/978-3-319-77116-8_13

We propose a deep-learning-based framework for multimodal sentiment analysis and emotion recognition. In particular, we leverage on the power of convolutional neural networks to obtain a performance improvement of 10% over the state of the art by com... Read More about Benchmarking multimodal sentiment analysis.

A Novel Semi-supervised Classification Method Based on Class Certainty of Samples (2018)
Presentation / Conference Contribution
Gao, F., Yue, Z., Xiong, Q., Wang, J., Yang, E., & Hussain, A. (2018). A Novel Semi-supervised Classification Method Based on Class Certainty of Samples. . https://doi.org/10.1007/978-3-030-00563-4_30

The traditional classification method based on supervised learning classifies remote sensing (RS) images by using sufficient labelled samples. However, the number of labelled samples is limited due to the expensive and time-consuming collection. To e... Read More about A Novel Semi-supervised Classification Method Based on Class Certainty of Samples.

Style Neutralization Generative Adversarial Classifier (2018)
Presentation / Conference Contribution
Jiang, H., Huang, K., Zhang, R., & Hussain, A. (2018). Style Neutralization Generative Adversarial Classifier. In BICS: International Conference on Brain Inspired Cognitive Systems (3-13). https://doi.org/10.1007/978-3-030-00563-4_1

Breathtaking improvement has been seen with the recently proposed deep Generative Adversarial Network (GAN). Purposes of most existing GAN-based models majorly concentrate on generating realistic and vivid patterns by a pattern generator with the aid... Read More about Style Neutralization Generative Adversarial Classifier.

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection (2018)
Presentation / Conference Contribution
Ieracitano, C., Adeel, A., Gogate, M., Dashtipour, K., Morabito, F., Larijani, H., …Hussain, A. (2018). Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. . https://doi.org/10.1007/978-3-030-00563-4_74

Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology (ICT) systems. The extent of damage an individual hacker can carry out upon infiltrating a system is well understood. A potentially... Read More about Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection.

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis (2018)
Presentation / Conference Contribution
Guellil, I., Adeel, A., Azouaou, F., & Hussain, A. (2018). SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis. . https://doi.org/10.1007/978-3-030-00563-4_54

Data annotation is an important but time-consuming and costly procedure. To sort a text into two classes, the very first thing we need is a good annotation guideline, establishing what is required to qualify for each class. In the literature, the dif... Read More about SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis.

Saliency Detection via Bidirectional Absorbing Markov Chain (2018)
Presentation / Conference Contribution
Jiang, F., Kong, B., Adeel, A., Xiao, Y., & Hussain, A. (2018). Saliency Detection via Bidirectional Absorbing Markov Chain. . https://doi.org/10.1007/978-3-030-00563-4_48

Traditional saliency detection via Markov chain only consider boundaries nodes. However, in addition to boundaries cues, background prior and foreground prior cues play a complementary role to enhance saliency detection. In this paper, we propose an... Read More about Saliency Detection via Bidirectional Absorbing Markov Chain.

Exploiting Deep Learning for Persian Sentiment Analysis (2018)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Ieracitano, C., Larijani, H., & Hussain, A. (2018). Exploiting Deep Learning for Persian Sentiment Analysis. In Advances in Brain Inspired Cognitive Systems (597-604). https://doi.org/10.1007/978-3-030-00563-4_58

The rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject’s sentiment (e.g., positive, negative, or neutral) towards a particular aspe... Read More about Exploiting Deep Learning for Persian Sentiment Analysis.

Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect (2018)
Presentation / Conference Contribution
Hussien, I., Dashtipour, K., & Hussain, A. (2018). Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. In Advances in Brain Inspired Cognitive Systems (615-624). https://doi.org/10.1007/978-3-030-00563-4_60

Sentiment analysis mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the web-based and traditional survey methods commonly conducted by companies for finding the publ... Read More about Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect.

Toward's Arabic multi-modal sentiment analysis (2018)
Presentation / Conference Contribution
Alqarafi, A., Adeel, A., Gogate, M., Dashitpour, K., Hussain, A., & Durrani, T. (2019). Toward's Arabic multi-modal sentiment analysis. . https://doi.org/10.1007/978-981-10-6571-2_290

In everyday life, people use internet to express and share opinions, facts, and sentiments about products and services. In addition, social media applications such as Facebook, Twitter, WhatsApp, Snapchat etc., have become important information shari... Read More about Toward's Arabic multi-modal sentiment analysis.

A comparative study of Persian sentiment analysis based on different feature combinations (2018)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Hussain, A., Alqarafi, A., & Durrani, T. (2017, July). A comparative study of Persian sentiment analysis based on different feature combinations. Presented at International Conference in Communications, Signal Proces

In recent years, the use of internet and correspondingly the number of online reviews, comments and opinions have increased significantly. It is indeed very difficult for humans to read these opinions and classify them accurately. Consequently, there... Read More about A comparative study of Persian sentiment analysis based on different feature combinations.

Deep learning driven multimodal fusion for automated deception detection (2018)
Presentation / Conference Contribution
Gogate, M., Adeel, A., & Hussain, A. (2018). Deep learning driven multimodal fusion for automated deception detection. . https://doi.org/10.1109/SSCI.2017.8285382

Humans ability to detect lies is no more accurate than chance according to the American Psychological Association. The state-of-the-art deception detection methods, such as deception detection stem from early theories and polygraph have proven to be... Read More about Deep learning driven multimodal fusion for automated deception detection.

A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition (2018)
Presentation / Conference Contribution
Gogate, M., Adeel, A., & Hussain, A. (2018). A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition. . https://doi.org/10.1109/SSCI.2017.8285377

The curse of dimensionality is a well-established phenomenon. However, the properties of high dimensional data are often poorly understood and overlooked during the process of data modelling and analysis. Similarly, how to optimally fuse different mo... Read More about A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition.

Combining deep convolutional neural network and SVM to SAR image target recognition (2018)
Presentation / Conference Contribution
Gao, F., Huang, T., Wang, J., Sun, J., Yang, E., & Hussain, A. (2018). Combining deep convolutional neural network and SVM to SAR image target recognition. . https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.165

To address the challenging problem on target recognition from synthetic aperture radar (SAR) images, a novel method is proposed by combining Deep Convolutional Neural Network (DCNN) and Support Vector Machine (SVM). First, an improved DCNN is employe... Read More about Combining deep convolutional neural network and SVM to SAR image target recognition.

Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry (2018)
Presentation / Conference Contribution
Mehmood, K., & Hussain, A. (2018). Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry. . https://doi.org/10.1109/ICSAI.2017.8248548

This study describes the mediating role of knowledge creation between knowledge-oriented leadership and innovation. We investigate 150 respondents in the software industry of Pakistan. The path analysis demonstrates that knowledge creation mediates t... Read More about Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry.

Managing association of information system outsourcing: A case of information technology (IT) service provider (2018)
Presentation / Conference Contribution
Mehmood, K., & Hussain, A. (2018). Managing association of information system outsourcing: A case of information technology (IT) service provider. . https://doi.org/10.1109/ICSAI.2017.8248558

Managing relationship is vital fundamental realistic concern in the accomplishment development of outsourcing information system (IS) and also begins to be a realistic dilemma that epidemic business of firms' information system. while the information... Read More about Managing association of information system outsourcing: A case of information technology (IT) service provider.