Outputs (173)

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.

Water quality reliability based design of water distribution networks (2012)
Presentation / Conference Contribution
Gupta, R., Hussain, A., & Bhave, P. R. (2012, May). Water quality reliability based design of water distribution networks. Presented at World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico, United States

The performance of a water distribution network is affected by several factors, pipe failure being a major one of them. Several methodologies have been suggested for optimal design of water distribution networks (WDNs) to meet reliability criteria re... Read More about Water quality reliability based design of water distribution networks.

Isanette: A common and common sense knowledge base for opinion mining (2011)
Presentation / Conference Contribution
Cambria, E., Song, Y., Wang, H., & Hussain, A. (2011). Isanette: A common and common sense knowledge base for opinion mining. In 2011 IEEE 11th International Conference on Data Mining Workshops (315-322). https://doi.org/10.1109/ICDMW.2011.106

The ability to understand natural language text is far from being emulated in machines. One of the main hurdles to overcome is that computers lack both the common and the common sense knowledge humans normally acquire during the formative years of th... Read More about Isanette: A common and common sense knowledge base for opinion mining.

Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques (2011)
Presentation / Conference Contribution
Ali, R., Hussain, A., Bron, J. E., & Shinn, A. P. (2011, November). Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques. Presented at 2011 11th International Conference on Intelligent Systems Design and Applications, Cordoba, Spain

This study explores the use of multi-stage machine learning based classifiers and feature selection techniques in the classification and identification of fish parasites. Accurate identification of pathogens is a key to their control and as a proof o... Read More about Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques.

Sentic avatar: Multimodal affective conversational agent with common sense (2011)
Presentation / Conference Contribution
Cambria, E., Hupont, I., Hussain, A., Cerezo, E., & Baldassarri, S. (2010, March). Sentic avatar: Multimodal affective conversational agent with common sense. Presented at Third COST 2102 International Training School, Caserta, Italy

The capability of perceiving and expressing emotions through different modalities is a key issue for the enhancement of human-computer interaction. In this paper we present a novel architecture for the development of intelligent multimodal affective... Read More about Sentic avatar: Multimodal affective conversational agent with common sense.

Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space (2011)
Presentation / Conference Contribution
Cambria, E., Mazzocco, T., Hussain, A., & Eckl, C. (2011, May). Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space. Presented at ISNN 2011: 8th International Symposium on Neural Networks, Guilin, China

Existing approaches to opinion mining and sentiment analysis mainly rely on parts of text in which opinions and sentiments are explicitly expressed such as polarity terms and affect words. However, opinions and sentiments are often conveyed implicitl... Read More about Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space.

Switching between different ways to think: Multiple approaches to affective common sense reasoning (2011)
Presentation / Conference Contribution
Cambria, E., Mazzocco, T., Hussain, A., & Durrani, T. (2010, September). Switching between different ways to think: Multiple approaches to affective common sense reasoning. Presented at COST 2102 International Conference, Budapest, Hungary

Emotions are different Ways to Think that our mind triggers to deal with different situations we face in our lives. Our ability to reason and make decisions, in fact, is strictly dependent on both our common sense knowledge about the world and our in... Read More about Switching between different ways to think: Multiple approaches to affective common sense reasoning.