Results 81 to 90 of about 3,957 (194)

Siamese Neural Network for Keystroke Dynamics-Based Authentication on Partial Passwords. [PDF]

Sensors (Basel), 2023
Lis K, Niewiadomska-Szynkiewicz E, Dziewulska K.   +2 more
europepmc   +1 more source

Establishing Shape Correspondences: A Survey

Computer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization

Computer Graphics Forum, EarlyView.
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley   +1 more source

Compactly supported detail field for high quality neural implicit surfaces

Computer Graphics Forum, EarlyView.
Abstract Neural implicit surfaces are a powerful tool for encoding a surface as the zero level set of a neural function. Trained using gradient‐descent based optimizers, these methods however suffer from a low‐frequency bias that prevents them to fit fine details of the surface.
Guillaume Coiffier, Justine Basselin
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups

Journal of Big Data
This research examines facial expressions as social cues in online platforms, focusing on online learning and remote work. Our high-accuracy emotion recognition framework is designed for post-session evaluation, aiding teaching strategies and identifying
Tejas Rathod, Shruti Patil, Aniket K. Shahade, Prachi Kadam, Ambarish Kulkarni   +4 more
doaj   +1 more source

BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation. [PDF]

ACS Omega, 2023
Paykan Heyrati M, Ghorbanali Z, Akbari M, Pishgahi G, Zare-Mirakabad F.   +4 more
europepmc   +1 more source

Early tocilizumab and outcomes in acute necrotizing encephalopathy

Developmental Medicine &Child Neurology, EarlyView.
Early tocilizumab and outcome in acute necrotising encephalopathy. Aim To evaluate the timing and safety of tocilizumab in acute necrotizing encephalopathy (ANE). Method This was a multicentre retrospective study evaluating outcomes (modified Rankin Scale [mRS]) in children with ANE treated with tocilizumab. A logistic regression model determined a cut‐
Velda X Han, Prithuja Poudyal, Vanessa Lee, Arushi Gahlot Saini, Shekeeb S Mohammad, Sekhar C Pillai, Gouri Rao Passi, Naveen Sankhyan, Ahmad Rithauddin Mohamed, Lokesh Lingappa, Hiroshi Sakuma, Russell C Dale, Ming Lim, Terrence Thomas, for The International ANE Study Group   +14 more
wiley   +1 more source

Imagination Will Not Be Automized: On AI Image Generators and Epistemic Oppression

Constellations, EarlyView.
Sarah Abel
wiley   +1 more source