All Outputs (29)

Affective common sense knowledge acquisition for sentiment analysis (2012)
Conference Proceeding
Cambria, E., Xia, Y., & Hussain, A. (2012). Affective common sense knowledge acquisition for sentiment analysis.

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.

Towards a Chinese common and common sense knowledge base for sentiment analysis (2012)
Conference Proceeding
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 and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings (437-446). https://doi.org/10.1007/978-3-642-31087-4_46

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)
Conference Proceeding
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 12-15, 2012, Proceedings, Part I (656-663). https://doi.org/10.1007/978-3-642-34475-6_79

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.

The use of ASM feature extraction and machine learning for the discrimination of members of the fish ectoparasite genus gyrodactylus (2012)
Conference Proceeding
Ali, R., Hussain, A., Bron, J. E., & Shinn, A. P. (2012). The use of ASM feature extraction and machine learning for the discrimination of members of the fish ectoparasite genus gyrodactylus. In Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV (256-263). https://doi.org/10.1007/978-3-642-34478-7_32

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.

The hourglass of emotions (2012)
Conference Proceeding
Cambria, E., Livingstone, A., & Hussain, A. (2012). The hourglass of emotions. In Cognitive Behavioural Systems: COST 2102 International Training School, Dresden, Germany, February 21-26, 2011, Revised Selected Papers (144-157). https://doi.org/10.1007/978-3-642-34584-5_11

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.

Single LFP sorting for high-resolution brain-chip interfacing (2012)
Conference Proceeding
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/10.1007/978-3-642-31561-9_37

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.

SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis (2012)
Conference Proceeding
Cambria, E., Havasi, C., & Hussain, A. (2012). SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference (202-207)

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.

Sentic neural networks: A novel cognitive model for affective common sense reasoning (2012)
Conference Proceeding
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.

Sentic maxine: Multimodal affective fusion and emotional paths (2012)
Conference Proceeding
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.

Semantically inspired electronic healthcare records (2012)
Conference Proceeding
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.

Road sign detection and recognition from video stream using HSV, contourlet transform and local energy based shape histogram (2012)
Conference Proceeding
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/10.1007/978-3-642-31561-9_46

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.

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel (2012)
Conference Proceeding
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.

A novel road traffic sign detection and recognition approach by introducing CCM and LESH (2012)
Conference Proceeding
Zakir, U., Usman, A., & Hussain, A. (2012). A novel road traffic sign detection and recognition approach by introducing CCM and LESH. In Neural Information Processing (629-636). https://doi.org/10.1007/978-3-642-34487-9_76

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.

An intelligent multiple-controller framework for the integrated control of autonomous vehicles (2012)
Conference Proceeding
Hussain, A., Abdullah, R., Yang, E., & Gurney, K. (2012). An intelligent multiple-controller framework for the integrated control of autonomous vehicles. In Advances in Brain Inspired Cognitive Systems (92-101). https://doi.org/10.1007/978-3-642-31561-9_10

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.

An ontology driven and Bayesian Network based cardiovascular decision support framework (2012)
Conference Proceeding
Farooq, K., Hussain, A., Leslie, S., Eckl, C., MacRae, C., & Slack, W. (2012). An ontology driven and Bayesian Network based cardiovascular decision support framework. In Advances in Brain Inspired Cognitive Systems (31-41). https://doi.org/10.1007/978-3-642-31561-9_4

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.

Analysis of pesticide application practices using an intelligent Agriculture Decision Support System (ADSS) (2012)
Conference Proceeding
Abdullah, A., Barnawi, A., & Hussain, A. (2012). Analysis of pesticide application practices using an intelligent Agriculture Decision Support System (ADSS). In Advances in Brain Inspired Cognitive Systems (382-391). https://doi.org/10.1007/978-3-642-31561-9_43

Pesticides are used for controlling pests, but at the same time they have impacts on the environment as well as the product itself. Although cotton covers 2.5% of the world’s cultivated land yet uses 16% of the world’s insecticides, more than any oth... Read More about Analysis of pesticide application practices using an intelligent Agriculture Decision Support System (ADSS).

Clustering social networks using interaction semantics and sentics (2012)
Conference Proceeding
Chandra, P., Cambria, E., & Hussain, A. (2012). Clustering social networks using interaction semantics and sentics. In Advances in Neural Networks – ISNN 2012 (379-385). https://doi.org/10.1007/978-3-642-31346-2_43

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.

Decoding network activity from LFPS: A computational approach (2012)
Conference Proceeding
Mahmud, M., Travalin, D., & Hussain, A. (2012). Decoding network activity from LFPS: A computational approach. In Neural Information Processing (584-591). https://doi.org/10.1007/978-3-642-34475-6_70

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.

Massive tenting at the Ryder Cup (2012)
Journal Article
Hussain, A. (2012). Massive tenting at the Ryder Cup. InTents, 19,

Long before the U.S. and European teams could begin their match play for the 2012 Ryder Cup, the course had to be prepared with temporary environments that could accommodate players and fans. The popular, biennial golf event—held in 2012 at Medinah C... Read More about Massive tenting at the Ryder Cup.

Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis (2012)
Conference Proceeding
Poria, S., Gelbukh, A., Cambria, E., Yang, P., Hussain, A., & Durrani, T. (2012). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. . https://doi.org/10.1109/ICoSP.2012.6491803

SenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more detailed sentiment-related information for its concepts is often desirable. A... Read More about Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis.