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Outputs (400)

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.

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.

The hourglass of emotions (2012)
Presentation / Conference Contribution
Cambria, E., Livingstone, A., & Hussain, A. (2011, February). The hourglass of emotions. Presented at COST 2102 International Training School on Cognitive Behavioural Systems, Dresden, Germany

Human emotions and their modelling are increasingly understood to be a crucial aspect in the development of intelligent systems. Over the past years, in fact, the adoption of psychological models of emotions has become a common trend among researcher... Read More about The hourglass of emotions.

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 IMACA: Intelligent multimodal affective conversational agent (2012)
Presentation / Conference Contribution
Hussain, A., Cambria, E., Mazzocco, T., Grassi, M., Wang, Q., & 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.

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.

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.

Service oriented architecture based web application model for collaborative biomedical signal analysis (2012)
Journal Article
Mahmud, M., Rahman, M. M., Travalin, D., Raif, P., & Hussain, A. (2012). Service oriented architecture based web application model for collaborative biomedical signal analysis. Biomedical Engineering / Biomedizinische Technik, 57(S1), 780-783. https://doi.org/10.1515/bmt-2012-4412

The rapid growth in availability of new biomedical systems and devices capable of acquiring biosignals for disease diagnosis and health monitoring require rigorous processing. Biomedical research by nature depends on integrated problem solving softwa... Read More about Service oriented architecture based web application model for collaborative biomedical signal analysis.

Common Sense Knowledge for Handwritten Chinese Text Recognition (2012)
Journal Article
Wang, Q., Cambria, E., Liu, C., & Hussain, A. (2013). Common Sense Knowledge for Handwritten Chinese Text Recognition. Cognitive Computation, 5(2), 234-242. https://doi.org/10.1007/s12559-012-9183-y

Compared to human intelligence, computers are far short of common sense knowledge which people normally acquire during the formative years of their lives. This paper investigates the effects of employing common sense knowledge as a new linguistic con... Read More about Common Sense Knowledge for Handwritten Chinese Text Recognition.