Outputs (82)

Structural Knowledge Extraction from Mobility Data (2016)
Presentation / Conference Contribution
Cottone, P., Gaglio, S., Lo Re, G., Ortolani, M., & Pergola, G. (2016, November). Structural Knowledge Extraction from Mobility Data. Presented at XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy

Knowledge extraction has traditionally represented one of the most interesting challenges in AI; in recent years, however, the availability of large collections of data has increased the awareness that “measuring” does not seamlessly translate into “... Read More about Structural Knowledge Extraction from Mobility Data.

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Spontaneous Versus Posed Smiles—Can We Tell the Difference? (2016)
Presentation / Conference Contribution
Mandal, B., & Ouarti, N. (2016, February). Spontaneous Versus Posed Smiles—Can We Tell the Difference?. Presented at International Conference on Computer Vision and Image Processing - CVIP 2016, IIT Roorkee, Roorkee India

Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, ‘smiles’ can be deceptive, for example people can give a smile when they feel happy an... Read More about Spontaneous Versus Posed Smiles—Can We Tell the Difference?.

Synthetic Biology Open Language (SBOL) Version 2.1.0. (2016)
Journal Article
(2016). Synthetic Biology Open Language (SBOL) Version 2.1.0. Journal of Integrative Bioinformatics, 291 - ?. https://doi.org/10.2390/biecoll-jib-2016-291

Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long... Read More about Synthetic Biology Open Language (SBOL) Version 2.1.0..

Appearance based robot activity recognition system (2016)
Presentation / Conference Contribution
Mandal, B. (2016, November). Appearance based robot activity recognition system. Presented at 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), Phuket, Thailand

Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding (2016)
Journal Article
(2016). Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding. Acta mechanica, 1177-1196. https://doi.org/10.1007/s00707-016-1765-4

The phononic band structure of waves, which travel though composites, results from the geometric and mechanical properties of the materials and from the interaction of the different constituents. In this article, we study two different models to simu... Read More about Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding.

Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding (2016)
Journal Article
(2016). Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding. Acta mechanica, 1177-1196. https://doi.org/10.1007/s00707-016-1765-4

The phononic band structure of waves, which travel though composites, results from the geometric and mechanical properties of the materials and from the interaction of the different constituents. In this article, we study two different models to simu... Read More about Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding.

Face recognition: Perspectives from the real world (2016)
Presentation / Conference Contribution
Mandal, B. (2016, November). Face recognition: Perspectives from the real world. Presented at 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), Phuket, Thailand

In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what the system can deliver. We evaluate some of the existing algorithms w... Read More about Face recognition: Perspectives from the real world.

Spectral density of Markov switching models: Derivation, simulation studies and application (2016)
Journal Article
Cheng, J. (2016). Spectral density of Markov switching models: Derivation, simulation studies and application. Model Assisted Statistics and Applications, 44(4), 277-291. https://doi.org/10.3233/MAS-160373

This paper is concerned with frequency domain analysis of Markov mean-switching autoregressive (MMSAR) models, linear Markov switching autoregressive (LMSAR) model and transitional Markov switching autoregressive (TMSAR) model. We derive the general... Read More about Spectral density of Markov switching models: Derivation, simulation studies and application.

Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images (2016)
Presentation / Conference Contribution
Jabbar, S. I., Day, C. R., Heinz, N., & Chadwick, E. K. (2016, July). Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images. Presented at International Joint Conference on Neural Networks, Vancouver

Fast and accurate segmentation of musculoskeletal ultrasound images is an on-going challenge. Two principal factors make this task difficult: firstly, the presence of speckle noise arising from the interference that accompanies all coherent imaging a... Read More about Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images.