Outputs (29)

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, November). Retrieval of semantic concepts based on analysis of texts for automatic construction of ontology. Presented at 19th International Conference, ICONIP 2012, Doha, Qatar

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.

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.

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.

Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis (2012)
Presentation / Conference Contribution
Poria, S., Gelbukh, A., Cambria, E., Yang, P., Hussain, A., & Durrani, T. (2012, October). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis

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.

Neurobiologically-inspired soft switching control of autonomous vehicles (2012)
Presentation / Conference Contribution
Yang, E., Hussain, A., & Gurney, K. (2014, July). Neurobiologically-inspired soft switching control of autonomous vehicles. Presented at BICS: International Conference on Brain Inspired Cognitive Systems, Shenyang, China

A novel soft switching control approach is presented in this paper for autonomous vehicles by using a new functional model for Basal Ganglia (BG). In the proposed approach, a family of fundamental controllers is treated as each of a set of basic cont... Read More about Neurobiologically-inspired soft switching control of autonomous vehicles.

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel (2012)
Presentation / Conference Contribution
Alalshekmubarak, A., Hussain, A., & Wang, Q.-F. (2012, November). Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. Presented at ICONIP: International Conference on Neural Information Processing, Doha, Qatar

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.

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.

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.

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.

Analysis of pesticide application practices using an intelligent Agriculture Decision Support System (ADSS) (2012)
Presentation / Conference Contribution
Abdullah, A., Barnawi, A., & Hussain, A. (2012, July). Analysis of pesticide application practices using an intelligent Agriculture Decision Support System (ADSS). Presented at 5th International Conference, BICS 2012, Shenyang, China

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).