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, July). Single LFP sorting for high-resolution brain-chip interfacing. Presented at BICS 2012: 5th International Conference on Brain Inspired Cognitive Systems, Shenyang, China

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.

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, July). Road sign detection and recognition from video stream using HSV, contourlet transform and local energy based shape histogram. Presented at 5th International Conference, BICS 2012, Shenyang, China

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, July). Semantically inspired electronic healthcare records. Presented at BICS: International Conference on Brain Inspired Cognitive Systems, Shenyang, China

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, July). Sentic maxine: Multimodal affective fusion and emotional paths. Presented at ISNN: International Symposium on Neural Networks, Shenyang, China

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.-F. (2012, July). Sentic neural networks: A novel cognitive model for affective common sense reasoning. Presented at BICS: International Conference on Brain Inspired Cognitive Systems, Shenyang, China

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.

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, US

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.

The use of ASM feature extraction and machine learning for the discrimination of members of the fish ectoparasite genus gyrodactylus (2012)
Presentation / Conference Contribution
Ali, R., Hussain, A., Bron, J. E., & Shinn, A. P. (2012, November). The use of ASM feature extraction and machine learning for the discrimination of members of the fish ectoparasite genus gyrodactylus. Presented at ICONIP 2012: 19th International Conference on Neural Information Processing, Doha, Qatar

Active Shape Models (ASM) are applied to the attachment hooks of several species of Gyrodactylus, including the notifiable pathogen G. salaris, to classify each species to their true species type. ASM is used as a feature extraction tool to select in... Read More about The use of ASM feature extraction and machine learning for the discrimination of members of the fish ectoparasite genus gyrodactylus.

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, June). Towards a Chinese common and common sense knowledge base for sentiment analysis. Presented at 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China

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.

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

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.

Affective common sense knowledge acquisition for sentiment analysis (2012)
Presentation / Conference Contribution
Cambria, E., Xia, Y., & Hussain, A. (2012, May). Affective common sense knowledge acquisition for sentiment analysis. Presented at International Conference on Language Resources and Evaluation 2012, Istanbul, Turkey

Thanks to the advent of Web 2.0, the potential for opinion sharing today is unmatched in history. Making meaning out of the hugeamount of unstructured information available online, however, is extremely difficult as web-contents, despite being perfe... Read More about Affective common sense knowledge acquisition for sentiment analysis.