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Features Descriptors for Demographic Estimation: A Comparative Study.

P. Carcagnì, M. Coco, P. Mazzeo, A. Testa, and C. Distante. VAAM@ICPR, volume 8811 of Lecture Notes in Computer Science, page 66-85. Springer, (2014)

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Marco Ströbel University of Stuttgart

Juan Carlos del Valle Morales University of Stuttgart

Daniel Del Gaudio University of Stuttgart

Tahsin Deliktas University of Stuttgart

Dr. Maksym Deliyergiyev University of Stuttgart

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A Tracking System Exploiting Interaction Between a Detector With Localization Capabilities and the KF.M. Coco, D. Orlando, and G. Ricci. IEEE Trans. Signal Processing, 60 (11): 6031-6036 (2012)Multi-branch CNN for Multi-scale Age Estimation.M. Coco, P. Carcagnì, M. Leo, P. Spagnolo, P. Mazzeo, and C. Distante. ICIAP (2), volume 10485 of Lecture Notes in Computer Science, page 234-244. Springer, (2017)A Minimax Framework for Gender Classification Based on Small-Sized Datasets.M. Coco, P. Carcagnì, M. Leo, and C. Distante. ACIVS, volume 9386 of Lecture Notes in Computer Science, page 415-427. Springer, (2015)A Technological Framework to Support Standardized Protocols for the Diagnosis and Assessment of ASD.M. Leo, M. Coco, P. Carcagnì, P. Mazzeo, P. Spagnolo, and C. Distante. ECCV Workshops (2), volume 9914 of Lecture Notes in Computer Science, page 269-284. (2016)Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot.M. Coco, M. Leo, P. Carcagnì, F. Fama, L. Spadaro, L. Ruta, G. Pioggia, and C. Distante. IEEE Trans. Cognitive and Developmental Systems, 10 (4): 993-1004 (2018)Real-Time Gender Based Behavior System for Human-Robot Interaction.P. Carcagnì, D. Cazzato, M. Coco, M. Leo, G. Pioggia, and C. Distante. ICSR, volume 8755 of Lecture Notes in Computer Science, page 74-83. Springer, (2014)Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment.M. Leo, M. Coco, P. Carcagnì, C. Distante, G. Bernava, G. Pioggia, and G. Palestra. ICCV Workshops, page 537-545. IEEE Computer Society, (2015)Improved Performance in Facial Expression Recognition Using 32 Geometric Features.G. Palestra, A. Pettinicchio, M. Coco, P. Carcagnì, M. Leo, and C. Distante. ICIAP (2), volume 9280 of Lecture Notes in Computer Science, page 518-528. Springer, (2015)Multitarget range-azimuth tracker.F. Bandiera, M. Coco, and G. Ricci. IEEE Trans. Aerospace and Electronic Systems, 51 (2): 1515-1529 (2015)Assessment of deep learning for gender classification on traditional datasets.M. Coco, P. Carcagnì, M. Leo, P. Mazzeo, and P. Spagnolo. AVSS, page 271-277. IEEE Computer Society, (2016)