All Outputs (9)

Development of Multimodal Interfaces: Active Listening and Synchrony - Preface (2010)
Presentation / Conference Contribution
Esposito, A., Campbell, N., Vogel, C., Hussain, A., & Nijholt, A. (2009, March). Development of Multimodal Interfaces: Active Listening and Synchrony - Preface. Presented at Second COST 2102 International Training School, Dublin, Ireland

This volume brings together, through a peer-revision process, the advanced research results obtained by the European COST Action 2102: Cross-Modal Analysis of Verbal and Nonverbal Communication, primarily discussed for the first time at the Se... Read More about Development of Multimodal Interfaces: Active Listening and Synchrony - Preface.

Do not feel the trolls (2010)
Presentation / Conference Contribution
Cambria, E., Chandra, P., Sharma, A., & Hussain, A. (2010). Do not feel the trolls. In Proceedings of the 3rd International Workshop on Social Data on the Web (SDoW2010)

The passage from a read-only to a read-write Web gave people the possibility to freely interact, share and collaborate through social networks, online communities, blogs, wikis and other online collaborative media. The democracy of the Web is what ma... Read More about Do not feel the trolls.

Emotional vocal expressions recognition using the COST 2102 Italian database of emotional speech (2010)
Presentation / Conference Contribution
Atassi, H., Riviello, M. T., Smékal, Z., Hussain, A., & Esposito, A. (2009, March). Emotional vocal expressions recognition using the COST 2102 Italian database of emotional speech. Presented at Second COST 2102 International Training School, Dublin, Ireland

The present paper proposes a new speaker-independent approach to the classification of emotional vocal expressions by using the COST 2102 Italian database of emotional speech. The audio records extracted from video clips of Italian movies possess a c... Read More about Emotional vocal expressions recognition using the COST 2102 Italian database of emotional speech.

Sentic computing: Exploitation of common sense for the development of emotion-sensitive systems (2010)
Presentation / Conference Contribution
Cambria, E., Hussain, A., Havasi, C., & Eckl, C. (2009, March). Sentic computing: Exploitation of common sense for the development of emotion-sensitive systems. Presented at Second COST 2102 International Training School, Dublin, Ireland

Emotions are a fundamental component in human experience, cognition, perception, learning and communication. In this paper we explore how the use of Common Sense Computing can significantly enhance computers’ emotional intelligence i.e. their capabil... Read More about Sentic computing: Exploitation of common sense for the development of emotion-sensitive systems.

SenticNet: A publicly available semantic resource for opinion mining (2010)
Presentation / Conference Contribution
Cambria, E., Speer, R., Havasi, C., & Hussain, A. (2010). SenticNet: A publicly available semantic resource for opinion mining. In Commonsense knowledge: Papers from the AAAI Fall Symposium (14-18)

Today millions of web-users express their opinions about many topics through blogs, wikis, fora, chats and social networks. For sectors such as e-commerce and e-tourism, it is very useful to automatically analyze the huge amount of social information... Read More about SenticNet: A publicly available semantic resource for opinion mining.

SenticSpace: Visualizing opinions and sentiments in a multi-dimensional vector space (2010)
Presentation / Conference Contribution
Cambria, E., Hussain, A., Havasi, C., & Eckl, C. (2010). SenticSpace: Visualizing opinions and sentiments in a multi-dimensional vector space. . https://doi.org/10.1007/978-3-642-15384-6_41

In a world in which millions of people express their feelings and opinions about any issue in blogs, wikis, fora, chats and social networks, the distillation of knowledge from this huge amount of unstructured information is a challenging task. In thi... Read More about SenticSpace: Visualizing opinions and sentiments in a multi-dimensional vector space.

Sentic computing for patient centered applications (2010)
Presentation / Conference Contribution
Cambria, E., Hussain, A., Durrani, T., Havasi, C., Eckl, C., & Munro, J. (2010, October). Sentic computing for patient centered applications. Presented at IEEE 10th International Conference on Signal Processing, Beijing, China

Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on... Read More about Sentic computing for patient centered applications.

Modeling and design of MPPT controller for a PV module using PSCAD/EMTDC (2010)
Presentation / Conference Contribution
Gupta, R., Gupta, G., Kastwar, D., Hussain, A., & Ranjan, H. (2010, October). Modeling and design of MPPT controller for a PV module using PSCAD/EMTDC. Presented at 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Gothenberg, Sweden

This paper presents a modeling of photovoltaic (PV) module in PSCAD/EMTDC and design of maximum power point tracking (MPPT) using boost converter. The model can be used for simulation studies of grid interface applications using voltage source conver... Read More about Modeling and design of MPPT controller for a PV module using PSCAD/EMTDC.

Verification & validation of an agent-based forest fire simulation model (2010)
Presentation / Conference Contribution
Niazi, M. A., Siddique, Q., Hussain, A., & Kolberg, M. (2010, April). Verification & validation of an agent-based forest fire simulation model. Presented at SpringSim '10 - Spring Simulation Multiconference, Orlando, Florida

In this paper, we present the verification and validation of an agent-based model of forest fires. We use a combination of a Virtual Overlay Multi-Agent System (VOMAS) validation scheme with Fire Weather Index (FWI) to validate the forest fire Simula... Read More about Verification & validation of an agent-based forest fire simulation model.