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All Outputs (18)

Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques (2011)
Conference Proceeding
Ali, R., Hussain, A., Bron, J. E., & Shinn, A. P. (2011). Multi-stage classification of Gyrodactylus species using machine learning and feature selection techniques. In 2011 11th International Conference on Intelligent Systems Design and Applications (457-462). https://doi.org/10.1109/ISDA.2011.6121698

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)
Conference Proceeding
Cambria, E., Hupont, I., Hussain, A., Cerezo, E., & Baldassarri, S. (2011). Sentic avatar: Multimodal affective conversational agent with common sense. In Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues Third COST 2102 International Training School, Caserta, Italy, March 15-19, 2010, Revised Selected Papers (81-95). https://doi.org/10.1007/978-3-642-18184-9_8

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)
Conference Proceeding
Cambria, E., Mazzocco, T., Hussain, A., & Eckl, C. (2011). Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space. In Advances in Neural Networks – ISNN 2011 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part III (601-610). https://doi.org/10.1007/978-3-642-21111-9_68

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)
Conference Proceeding
Cambria, E., Mazzocco, T., Hussain, A., & Durrani, T. (2011). Switching between different ways to think: Multiple approaches to affective common sense reasoning. In Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues: COST 2102 International Conference, Budapest, Hungary, September 7-10, 2010, Revised Selected Papers (56-69). https://doi.org/10.1007/978-3-642-25775-9_5

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.

Isanette: A common and common sense knowledge base for opinion mining (2011)
Conference Proceeding
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.

SimConnector: An approach to testing disaster-alerting systems using agent based simulation models (2011)
Conference Proceeding
Niazi, M., Siddique, Q., Hussain, A., & Fortino, G. (2011). SimConnector: An approach to testing disaster-alerting systems using agent based simulation models. In 2011 Federated Conference on Computer Science and Information Systems (FedCSIS) (659-665)

The design, development and testing of intelligent disaster detection and alerting systems pose a set of non-trivial problems. Not only are such systems difficult to design as they need to accurately predict real-world outcomes using a distributed se... Read More about SimConnector: An approach to testing disaster-alerting systems using agent based simulation models.

Ontology-driven cardiovascular decision support system (2011)
Conference Proceeding
Farooq, K., Hussain, A., Leslie, S., Eckl, C., & Slack, W. (2011). Ontology-driven cardiovascular decision support system. In 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops (283-286). https://doi.org/10.4108/icst.pervasivehealth.2011.246092

We discuss work-in-progress and propose an ontology driven framework for the development of a clinical expert system for chest pain risk assessment. The framework has the following key components: adaptive questionnaire, patient medical history, risk... Read More about Ontology-driven cardiovascular decision support system.

A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy (2011)
Conference Proceeding
Mazzocco, T., & Hussain, A. (2011). A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services (34-39). https://doi.org/10.1109/HEALTH.2011.6026777

Cancer treatments are now more effective than ever and, as a consequence, cancer is becoming a chronic disease. Chemotherapy is a frequently used treatment in people with cancer and it can cause a number of side-effects which if not properly managed... Read More about A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy.

Novel logistic regression models to aid the diagnosis of dementia (2011)
Journal Article
Mazzocco, T., & Hussain, A. (2012). Novel logistic regression models to aid the diagnosis of dementia. Expert Systems with Applications, 39(3), 3356-3361. https://doi.org/10.1016/j.eswa.2011.09.023

Clinicians often experience difficulties in the diagnosis of dementia due to the intrinsic complexity of the process and lack of comprehensive diagnostic tools. Different models have been proposed to provide medical decision support in dementia diagn... Read More about Novel logistic regression models to aid the diagnosis of dementia.

Cognitive Computation Special Issue on Cognitive Behavioural Systems (2011)
Journal Article
Esposito, A., Vinciarelli, A., Haykin, S., Hussain, A., & Faundez-Zanuy, M. (2011). Cognitive Computation Special Issue on Cognitive Behavioural Systems. Cognitive Computation, 3(3), 417-418. https://doi.org/10.1007/s12559-011-9107-2

Cognitive processes, such as inference, categorization, and memory, are not independent from their physical instantiations. Individuals’ choices, perception, and actions emerge and are dynamically affected and enhanced by the interaction between sens... Read More about Cognitive Computation Special Issue on Cognitive Behavioural Systems.

Agent-based computing from multi-agent systems to agent-based models: A visual survey (2011)
Journal Article
Niazi, M., & Hussain, A. (2011). Agent-based computing from multi-agent systems to agent-based models: A visual survey. Scientometrics, 89, 479-499. https://doi.org/10.1007/s11192-011-0468-9

Agent-based computing is a diverse research domain concerned with the building of intelligent software based on the concept of “agents”. In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consis... Read More about Agent-based computing from multi-agent systems to agent-based models: A visual survey.

A discrete event system specification (DEVS)-based model of consanguinity (2011)
Journal Article
Akhtar, N., Niazi, M., Mustafa, F., & Hussain, A. (2011). A discrete event system specification (DEVS)-based model of consanguinity. Journal of Theoretical Biology, 285(1), 103-112. https://doi.org/10.1016/j.jtbi.2011.05.038

Consanguinity or inter-cousin marriage is a phenomenon quite prevalent in certain regions around the globe. Consanguineous parents have a higher risk of having offspring with congenital disorders. It is difficult to model large scale consanguineous p... Read More about A discrete event system specification (DEVS)-based model of consanguinity.

Sentic Web: A New Paradigm for Managing Social Media Affective Information (2011)
Journal Article
Grassi, M., Cambria, E., Hussain, A., & Piazza, F. (2011). Sentic Web: A New Paradigm for Managing Social Media Affective Information. Cognitive Computation, 3(3), 480-489. https://doi.org/10.1007/s12559-011-9101-8

The recent success of media-sharing services caused an exponential growth of community-contributed multimedia data on the Web and hence a consistent shift of the flow of information from traditional communication channels to social media ones. Retrie... Read More about Sentic Web: A New Paradigm for Managing Social Media Affective Information.

Sentic Computing for social media marketing (2011)
Journal Article
Cambria, E., Grassi, M., Hussain, A., & Havasi, C. (2012). Sentic Computing for social media marketing. Multimedia Tools and Applications, 59(2), 557-577. https://doi.org/10.1007/s11042-011-0815-0

In a world in which millions of people express their opinions about commercial products in blogs, wikis, fora, chats and social networks, the distillation of knowledge from this huge amount of unstructured information can be a key factor for marketer... Read More about Sentic Computing for social media marketing.

Improved multiple description wavelet based image coding using subband uniform quantization (2011)
Journal Article
Khelil, K., Hussain, A., Bekka, R. E., & Berrezzek, F. (2011). Improved multiple description wavelet based image coding using subband uniform quantization. International journal of electronics and communications = Archiv fur Elektronik und Ubertragungstechnik : AEU, 65(11), 967-974. https://doi.org/10.1016/j.aeue.2011.03.011

The objective of multiple description coding (MDC) is to encode a source into multiple descriptions supporting different quality levels of reconstruction. In this paper, we use the multiple description transform coding (MDTC) algorithm based on the w... Read More about Improved multiple description wavelet based image coding using subband uniform quantization.

Sensing emergence in complex systems (2011)
Journal Article
Niazi, M. A., & Hussain, A. (2011). Sensing emergence in complex systems. IEEE Sensors Journal, 11(10), 2479-2480. https://doi.org/10.1109/JSEN.2011.2142303

We propose the Sensing of Emergent behavior in a Complex Adaptive System (SECAS), as an extension of our previous work Formal Agent-Based Simulation Framework (FABS). Using aggregated data from an array of proximity sensors, SECAS allows for the dete... Read More about Sensing emergence in complex systems.

Social network analysis of trends in the consumer electronics domain (2011)
Conference Proceeding
Niazi, M. A., & Hussain, A. (2011). Social network analysis of trends in the consumer electronics domain. In 2011 IEEE International Conference on Consumer Electronics (ICCE) (219-220). https://doi.org/10.1109/ICCE.2011.5722549

We present a study of the trends in the consumer electronics domain using Complex Social Network Analysis (SNA) of citation data retrieved from the Thomson Reuters Web of Knowledge. Our findings include the identification of the most influential pape... Read More about Social network analysis of trends in the consumer electronics domain.