A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
Performance vs. competence in human–machine comparisons
C Firestone - Proceedings of the National Academy of …, 2020 - National Acad Sciences
Does the human mind resemble the machines that can behave like it? Biologically inspired
machine-learning systems approach “human-level” accuracy in an astounding variety of …
machine-learning systems approach “human-level” accuracy in an astounding variety of …
Representational formats of human memory traces
R Heinen, A Bierbrauer, OT Wolf… - Brain Structure and …, 2024 - Springer
Neural representations are internal brain states that constitute the brain's model of the
external world or some of its features. In the presence of sensory input, a representation may …
external world or some of its features. In the presence of sensory input, a representation may …
Deep learning-based cardiovascular image diagnosis: a promising challenge
Artificial intelligence (AI) is becoming a vital concept in medicine leading to a rapid
emergence of important tools for medical diagnostics. Now, as a crucial machine learning …
emergence of important tools for medical diagnostics. Now, as a crucial machine learning …
HiCLIP: Contrastive language-image pretraining with hierarchy-aware attention
The success of large-scale contrastive vision-language pretraining (CLIP) has benefited
both visual recognition and multimodal content understanding. The concise design brings …
both visual recognition and multimodal content understanding. The concise design brings …
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks
The discovery that deep convolutional neural networks (DCNNs) achieve human
performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties …
performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties …
Mind the gap: Challenges of deep learning approaches to theory of mind
Abstract Theory of Mind (ToM) is an essential ability of humans to infer the mental states of
others. Here we provide a coherent summary of the potential, current progress, and …
others. Here we provide a coherent summary of the potential, current progress, and …
Remote sensing image superresolution using deep residual channel attention
The current trend in remote sensing image superresolution (SR) is to use supervised deep
learning models to effectively enhance the spatial resolution of airborne and satellite-based …
learning models to effectively enhance the spatial resolution of airborne and satellite-based …
Stable maintenance of multiple representational formats in human visual short-term memory
Visual short-term memory (VSTM) enables humans to form a stable and coherent
representation of the external world. However, the nature and temporal dynamics of the …
representation of the external world. However, the nature and temporal dynamics of the …
A new pairwise deep learning feature for environmental microorganism image analysis
Environmental microorganism (EM) offers a highly efficient, harmless, and low-cost solution
to environmental pollution. They are used in sanitation, monitoring, and decomposition of …
to environmental pollution. They are used in sanitation, monitoring, and decomposition of …