Outputs (29)

Single LFP sorting for high-resolution brain-chip interfacing (2012)
Presentation / Conference Contribution
Mahmud, M., Travalin, D., Hussain, A., Girardi, S., Maschietto, M., Felderer, F., & Vassanelli, S. (2012). Single LFP sorting for high-resolution brain-chip interfacing. In Advances in Brain Inspired Cognitive Systems (329-337). https://doi.org/10.1007/9

Understanding cognition has fascinated many neuroscientists and made them put their efforts in deciphering the brain’s information processing capabilities for cognition. Rodents perceive the environment through whisking during which tactile informati... Read More about Single LFP sorting for high-resolution brain-chip interfacing.

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel (2012)
Presentation / Conference Contribution
Alalshekmubarak, A., Hussain, A., & Wang, Q. (2012). Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. In Neural Information Processing (85-91). https://doi.org/10.1007/978-3-642-34481-7_11

Handwriting recognition is a complicated process that many applications rely on, such as mail sorting, cheque processing, digitalisation and translation. The recognition of handwritten Arabic is still an ongoing challenge mainly due to the similarity... Read More about Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel.

Road sign detection and recognition from video stream using HSV, contourlet transform and local energy based shape histogram (2012)
Presentation / Conference Contribution
Zakir, U., Edirishinghe, E., & Hussain, A. (2012). Road sign detection and recognition from video stream using HSV, contourlet transform and local energy based shape histogram. In Advances in Brain Inspired Cognitive Systems (411-419). https://doi.org/10

This paper describes an efficient approach towards road sign detection and recognition. The proposed system is divided into three sections namely; Colour Segmentation of the road traffic signs using the HSV colour space considering varying lighting c... Read More about Road sign detection and recognition from video stream using HSV, contourlet transform and local energy based shape histogram.

Semantically inspired electronic healthcare records (2012)
Presentation / Conference Contribution
Farooq, K., Hussain, A., Leslie, S., Eckl, C., MacRae, C., & Slack, W. (2012). Semantically inspired electronic healthcare records. In Advances in Brain Inspired Cognitive Systems (42-51). https://doi.org/10.1007/978-3-642-31561-9_5

The adoption of Electronic Healthcare Records (EHRs) holds the key for the success of next generation intelligent healthcare systems to improve the quality of healthcare and patient safety by facilitating the exchange of critical patient’s episodic i... Read More about Semantically inspired electronic healthcare records.

Sentic maxine: Multimodal affective fusion and emotional paths (2012)
Presentation / Conference Contribution
Hupont, I., Cambria, E., Cerezo, E., Hussain, A., & Baldassarri, S. (2012). Sentic maxine: Multimodal affective fusion and emotional paths. In Advances in Neural Networks – ISNN 2012 (555-565). https://doi.org/10.1007/978-3-642-31362-2_61

The capability of perceiving and expressing emotions through different modalities is a key issue for the enhancement of human-agent interaction. In this paper, an architecture for the development of intelligent multimodal affective interfaces is pres... Read More about Sentic maxine: Multimodal affective fusion and emotional paths.

Sentic neural networks: A novel cognitive model for affective common sense reasoning (2012)
Presentation / Conference Contribution
Mazzocco, T., Cambria, E., Hussain, A., & Wang, Q. (2012). Sentic neural networks: A novel cognitive model for affective common sense reasoning. In Advances in Brain Inspired Cognitive Systems (12-21). https://doi.org/10.1007/978-3-642-31561-9_2

In human cognition, the capacity to reason and make decisions is strictly dependent on our common sense knowledge about the world and our inner emotional states: we call this ability affective common sense reasoning. In previous works, graph mining a... Read More about Sentic neural networks: A novel cognitive model for affective common sense reasoning.

Towards IMACA: Intelligent multimodal affective conversational agent (2012)
Presentation / Conference Contribution
Hussain, A., Cambria, E., Mazzocco, T., Grassi, M., Wang, Q., & Durrani, T. (2012). Towards IMACA: Intelligent multimodal affective conversational agent. In Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November

A key aspect when trying to achieve natural interaction in machines is multimodality. Besides verbal communication, in fact, humans interact also through many other channels, e.g., facial expressions, gestures, eye contact, posture, and voice tone. S... Read More about Towards IMACA: Intelligent multimodal affective conversational agent.

SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis (2012)
Presentation / Conference Contribution
Cambria, E., Havasi, C., & Hussain, A. (2012, May). SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. Presented at 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25, Florida,

Web 2.0 has changed the ways people communicate, collaborate, and express their opinions and sentiments. But despite social data on the Web being perfectly suitable for human consumption, they remain hardly accessible to machines. To bridge the cogni... Read More about SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis.

Towards a Chinese common and common sense knowledge base for sentiment analysis (2012)
Presentation / Conference Contribution
Cambria, E., Hussain, A., Durrani, T., & Zhang, J. (2012). Towards a Chinese common and common sense knowledge base for sentiment analysis. In Advanced Research in Applied Artificial Intelligence: 25th International Conference on Industrial Engineering a

To date, the majority of sentiment analysis research has focused on English language. Recent studies, however, show that non-native English speakers heavily support the growing use of Internet. Chinese, specifically, is poised to outpace English as t... Read More about Towards a Chinese common and common sense knowledge base for sentiment analysis.

Retrieval of semantic concepts based on analysis of texts for automatic construction of ontology (2012)
Presentation / Conference Contribution
Krishnan, R., Hussain, A., & Sherimon, P. (2012). Retrieval of semantic concepts based on analysis of texts for automatic construction of ontology. In Neural Information Processing (524-532). https://doi.org/10.1007/978-3-642-34475-6_63

Ontology together with Semantic Web has a vital role in knowledge management on a global scale. Since manual construction of ontology leads to complex, time consuming and inconsistent results, automatic construction of ontology is more preferred. Thi... Read More about Retrieval of semantic concepts based on analysis of texts for automatic construction of ontology.