Modeling perception errors in autonomous vehicles and their impact on behavior by Piazzoni, Andrea

Get full text

Radio-frequency (RF) sensing for deep awareness of human physical status by Koh, Bernard Sheng Hui

Get full text

A deep learning approach to image quality assessment by Feng, Yeli

Get full text
Get full text

Stealthy and robust glitch injection attack on deep learning accelerator for target with variational viewpoint by Liu, Wenye, Chang, Chip-Hong, Zhang, Fan

“…The advocacy of 'model once, run optimized anywhere' paradigm introduces potential new security threat to edge intelligence that is methodologically different from the well-known adversarial examples. …”
Get full text

Can Plants Perceive Human Gestures? Using AI to Track Eurythmic Human–Plant Interaction by Gil, Alvaro Francisco, Weinbeer, Moritz, Gloor, Peter A.

Get full text

Computational methods for the assessment of empathic synchrony by Bizzego, Andrea, Gabrieli, Giulio, Azhari, Atiqah, Setoh, Peipei, Esposito, Gianluca

Get full text

Flexible integrated sensor with asymmetric structure for simultaneously 3D tactile and thermal sensing by Wang, Yongqing, Sun, Kun, Zhang, Qisheng, Yu, Samson Shenglong, Han, Boon Siew, Wang, Jianpeng, Zhao, Mingyan, Meng, Xianglin, Chen, Sicheng, Zheng, Yuanjin

“…The human body detects tactile stimuli through a combination of pressure force and temperature signals via various cutaneous receptors. The development of a multifunctional artificial tactile perception system has potential benefits for future robotic technologies, human-machine interfaces, artificial intelligence, and health monitoring devices. …”
Get full text

Identifying independent sub-networks of functional connectome of the brain by Chan, Jin Hao

Get full text

The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour by Alghowinem, Sharifa, Caldwell, Sabrina, Radwan, Ibrahim, Wagner, Michael, Gedeon, Tom

“…The classification results obtained reached an accuracy of up to 88% through feature fusion, with an average of 60% from both single and multimodal signals. Analysing body movement using single modality showed that the visual signal had the highest performance followed by the accelerometer and acoustic signals. …”
Get full text

Anomaly Detection in Fractal Time Series with LSTM Autoencoders by Kirichenko, Lyudmyla, Koval, Yulia, Yakovlev, Sergiy, Chumachenko, Dmytro

Get full text

Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion by Angkasirisan, T

“…Methods from artificial intelligence (AI), particularly those leveraging big data and deep learning, offer promising approaches for overcoming these limitations. …”

Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions by Kruse, Jakob Adrian, Ciechanowski, Leon, Dupuis, Ambre, Vazquez, Ignacio, Gloor, Peter A.

“…Recent advances in artificial intelligence combined with behavioral sciences have led to the development of cutting-edge tools for recognizing human emotions based on text, video, audio, and physiological data. …”
Get full text

Transduction on directed graphs via absorbing random walks by De, Jaydeep, Zhang, Xiaowei, Lin, Feng, Li, Cheng

Get full text

Monitoring of group discussion using Android apps by Hamdi Hamzah

“…As our ultimate goal is to improve the current computer systems and social robots that suffer from a lack of social skills, we will explore the social signals and social behaviors, including social interactions (like turn taking), social attitude (like alliance), and social relations/ roles to build more socially intelligent model for robots. …”
Get full text

A byte sequence is worth an image: CNN for file fragment classification using bit shift and n-gram embeddings by Liu, Wenyang, Wang, Yi, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui

Get full text

Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

Get full text

Understanding Non-Verbal Irony Markers: Machine Learning Insights Versus Human Judgment by Spitale, Micol, Catania, Fabio, Panzeri, Francesca

Get full text

A distributed control scheme of thermostatically controlled loads for the building-microgrid community by Wang, Yu, Tang, Yi, Xu, Yan, Xu, Yinliang

Get full text

Analog Quantum Variational Embedding Classifier by Yang, Rui, Bosch, Samuel, Kiani, Bobak, Lloyd, Seth, Lupascu, Adrian

“…Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in quantum machine learning is an active area of research. …”
Get full text

Application of classical clustering methods for online tool condition monitoring in high speed milling processes by Li, Xiang, Torabi, Amin J., Er, Meng Joo, Lim, Beng Siong, Zhai, Lian yin, San, Linn, Gan, Oon Peen, Ching, Chuen Teck

“…As one of the available AI techniques that can make an insightful change in traditional AI based modeling techniques for the process, clustering methods are applied on the wavelet features of milling signal as an interpretation layer between the sensor signals and the next artificial intelligent blocks. …”
Get full text
Get full text