Outputs (29)

Decoding network activity from LFPS: A computational approach (2012)
Presentation / Conference Contribution
Mahmud, M., Travalin, D., & Hussain, A. (2012, November). Decoding network activity from LFPS: A computational approach. Presented at 19th International Conference, ICONIP 2012, Doha, Qatar

Cognition is one of the main capabilities of mammal brain and understanding it thoroughly requires decoding brain’s information processing pathways which are composed of networks formed by complex connectivity between neurons. Mostly, scientists rely... Read More about Decoding network activity from LFPS: A computational approach.

Clustering social networks using interaction semantics and sentics (2012)
Presentation / Conference Contribution
Chandra, P., Cambria, E., & Hussain, A. (2012, July). Clustering social networks using interaction semantics and sentics. Presented at 9th International Symposium on Neural Networks, Shenyang, China

The passage from a static read-only Web to a dynamic read-write Web gave birth to a huge amount of online social networks with the ultimate goal of making communication easier between people with common interests. Unlike real world social networks, h... Read More about Clustering social networks using interaction semantics and sentics.

An ontology driven and Bayesian Network based cardiovascular decision support framework (2012)
Presentation / Conference Contribution
Farooq, K., Hussain, A., Leslie, S., Eckl, C., MacRae, C., & Slack, W. (2012, July). An ontology driven and Bayesian Network based cardiovascular decision support framework. Presented at 5th International Conference, BICS 2012, Shenyang, China

Clinical risk assessment of chronic illnesses in the cardiovascular domain is quite a challenging and complex task which entails the utilization of standardized clinical practice guidelines and documentation procedures to ensure clinical governance,... Read More about An ontology driven and Bayesian Network based cardiovascular decision support framework.

An intelligent multiple-controller framework for the integrated control of autonomous vehicles (2012)
Presentation / Conference Contribution
Hussain, A., Abdullah, R., Yang, E., & Gurney, K. (2012, July). An intelligent multiple-controller framework for the integrated control of autonomous vehicles. Presented at 5th International Conference, BICS 2012, Shenyang, China

This paper presents an intelligent multiple-controller framework for the integrated control of throttle, brake and steering subsystems of realistic validated nonlinear autonomous vehicles. In the developed multiple-controller framework, a fuzzy logic... Read More about An intelligent multiple-controller framework for the integrated control of autonomous vehicles.

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.

A novel road traffic sign detection and recognition approach by introducing CCM and LESH (2012)
Presentation / Conference Contribution
Zakir, U., Usman, A., & Hussain, A. (2012, November). A novel road traffic sign detection and recognition approach by introducing CCM and LESH. Presented at 19th International Conference, ICONIP 2012, Doha, Qatar

A real time road sign detection and recognition system can provide an additional level of driver assistance leading to an improved safety to passengers, road users and other vehicles. Such Advanced Driver Assistance Systems (ADAS) can be used to aler... Read More about A novel road traffic sign detection and recognition approach by introducing CCM and LESH.

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.-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.