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Outputs (166)

Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix (2012)
Presentation / Conference Contribution
Yu, S., Hammerla, N., Yan, J., & Andras, P. (2012). Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix. In Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November

Online gaming is very popular and has gained some recognition as the so called e-sport over the last decade. However, in particular First Person Shooter (FPS) games suffer from the development of sophisticated cheating methods such as aiming robots (... Read More about Aimbot detection in online fps games using a heuristic method based on distribution comparison matrix.

Computer Anxiety and the Big Five (2012)
Presentation / Conference Contribution
Crabbe, S. J., & Andras, P. (2012). Computer Anxiety and the Big Five. In PPIG 2012 - 24th Annual Workshop (12)

This paper explores the relationship between personality traits, as described by the Big Five Factors model, and the likelihood of someone suffering from computer anxiety. The research sample was a cohort of Business School Undergraduates. It was fou... Read More about Computer Anxiety and the Big Five.

Tackling the sheer scale of subjective QoE (2012)
Presentation / Conference Contribution
Menkovski, V., Exarchakos, G., & Liotta, A. (2012). Tackling the sheer scale of subjective QoE. In Mobile Multimedia Communications (1-15). https://doi.org/10.1007/978-3-642-30419-4_1

Maximum Likelihood Difference Scaling (MLDS) used as a method for subjective assessment of video quality alleviates the inconveniencies associated with high variation and biases common in rating methods. However, the number of tests in a MLDS study r... Read More about Tackling the sheer scale of subjective QoE.

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). 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 a

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)
Presentation / Conference Contribution
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

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)
Presentation / Conference Contribution
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 Conferenc

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)
Presentation / Conference Contribution
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/10.1007/9

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)
Presentation / Conference Contribution
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/10.1007/9

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)
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,

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.