Search Results - "Cheng, Dong Seon"

A Machine Learning-Oriented Survey on Tiny Machine Learning by Capogrosso, Luigi, Cunico, Federico, Cheng, Dong Seon, Fummi, Franco, Cristani, Marco

“…The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of…”
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Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols by Gaiardelli, Sebastiano, Spellini, Stefano, Panato, Marco, Tadiello, Carlo, Lora, Michele, Cheng, Dong Seon, Fummi, Franco

“…Modern production lines are often composed of machinery from different vendors that must be connected with each other to increase the overall interoperability…”
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An Informed Framework for Training Classifiers from Social Media by Cheng, Dong Seon, Abdulhak, Sami Abduljalil

“…Extracting information from social media has become a major focus of companies and researchers in recent years. Aside from the study of the social aspects, it…”
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Predicting online lecture ratings based on gesturing and vocal behavior by Cheng, Dong Seon, Salamin, Hugues, Salvagnini, Pietro, Cristani, Marco, Vinciarelli, Alessandro, Murino, Vittorio

“…Nonverbal behavior plays an important role in any human–human interaction. Teaching—an inherently social activity—is not an exception. So far, the effect of…”
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Social profiling through image understanding: Personality inference using convolutional neural networks by Segalin, Cristina, Cheng, Dong Seon, Cristani, Marco

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A Multi-Material and Multi-Scenario Dataset for Additive and Subtractive Manufacturing Operations by Uddin, Mohammad, Gaiardelli, Sebastiano, Lora, Michele, Cheng, Dong Seon, Fummi, Franco

“…Smart manufacturing systems often use data to optimize production processes. Artificial intelligence algorithms can be used to tune the parameters of…”
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Semantically-driven automatic creation of training sets for object recognition by Cheng, Dong Seon, Setti, Francesco, Zeni, Nicola, Ferrario, Roberta, Cristani, Marco

“…•We present a strategy for automatic image training set generation.•We use semantic and statistics to generate strings related to a target label.•Our gathered…”
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Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study by Cunico, Federico, Aldegheri, Stefano, Avogaro, Andrea, Boldo, Michele, Bombieri, Nicola, Capogrosso, Luigi, Caputo, Ariel, Carra, Damiano, Centomo, Stefano, Cheng, Dong Seon, Cinquetti, Ettore, Cristani, Marco, Marchi, Mirco De, Demrozi, Florenc, Emporio, Marco, Fummi, Franco, Geretti, Luca, Germiniani, Samuele, Giachetti, Andrea, Girella, Federico, Martini, Enrico, Menegaz, Gloria, Muijs, Niek, Paci, Federica, Panato, Marco, Pravadelli, Graziano, Quintarelli, Elisa, Siviero, Ilaria, Storti, Silvia Francesca, Tadiello, Carlo, Turetta, Cristian, Villa, Tiziano, Zannone, Nicola, Quaglia, Davide

“…The revolutionary technologies behind Industry 4.0 have opened a new era for manufacturing: connected and autonomous machines, collaborative robotics, and…”
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Cosegmentation for Image Sequences by Dong Seon Cheng, Figueiredo, M.A.T.

“…We present a generative model to perform cosegmentation on an arbitrary number of images, where cosegmentation has been defined as the task of segmenting…”
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Adopting OPC UA for Efficient and Secure Firmware Transmission in Industry 4.0 Scenarios by Biondani, Francesco, Cheng, Dong Seon, Fummi, Franco

“…In the realm of Industry 4.0, the Open Platform Communications Unified Architecture (OPC UA) enables secure and efficient communication among diverse…”
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A Machine Learning-oriented Survey on Tiny Machine Learning by Capogrosso, Luigi, Cunico, Federico, Cheng, Dong Seon, Fummi, Franco, Cristani, Marco

“…The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of…”
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Wavelet-based Processing of EEG Data for Brain-Computer Interfaces by Dong Seon Cheng, D'Amato, V., Murino, V.

“…Brain-Computer Interfaces based on non-invasive electroencephalographic (EEG) signals were recently made practical through sophisticated algorithms and clever…”
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