Search
Search Results
-
Doubly elastic net regularized online portfolio optimization with transaction costs
Online portfolio optimization with transaction costs is a big challenge in large-scale intelligent computing community, since its undersample from...
-
A sparse quantized hopfield network for online-continual memory
An important difference between brains and deep neural networks is the way they learn. Nervous systems learn online where a stream of noisy data...
-
Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
Neural computation is often traced in terms of either rate- or phase-codes. However, most circuit operations will simultaneously affect information...
-
Fast Human Motion reconstruction from sparse inertial measurement units considering the human shape
Inertial Measurement Unit-based methods have great potential in capturing motion in large-scale and complex environments with many people. Sparse...
-
Portfolio effects and functional redundancy contribute to the maintenance of octocoral forests on Caribbean reefs
Declines in abundance of scleractinian corals on shallow Caribbean reefs have left many reefs dominated by forests of arborescent octocorals. The...
-
Bead-jet printing enabled sparse mesenchymal stem cell patterning augments skeletal muscle and hair follicle regeneration
Transplantation of mesenchymal stem cells (MSCs) holds promise to repair severe traumatic injuries. However, current transplantation practices limit...
-
Ultra-fast deep-learned CNS tumour classification during surgery
Central nervous system tumours represent one of the most lethal cancer types, particularly among children
1 . Primary treatment includes neurosurgical...
-
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting
We investigate the potential of graph neural networks for transfer learning and improving molecular property prediction on sparse and expensive to...
-
Scalable computation of anisotropic vibrations for large macromolecular assemblies
The Normal Mode Analysis (NMA) is a standard approach to elucidate the anisotropic vibrations of macromolecules at their folded states, where...
-
Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework
Interictal Epileptiform Discharges (IED) and High Frequency Oscillations (HFO) in intraoperative electrocorticography (ECoG) may guide the surgeon by...
-
2023 summer warmth unparalleled over the past 2,000 years
Including an exceptionally warm Northern Hemisphere summer
1 ,2 , 2023 has been reported as the hottest year on record3 –5 . However, contextualizing...
-
Distinguishing examples while building concepts in hippocampal and artificial networks
The hippocampal subfield CA3 is thought to function as an auto-associative network that stores experiences as memories. Information from these...
-
Diversity of visual inputs to Kenyon cells of the Drosophila mushroom body
The arthropod mushroom body is well-studied as an expansion layer representing olfactory stimuli and linking them to contingent events. However, 8%...
-
Trajectory-based global sensitivity analysis in multiscale models
This research introduces a novel global sensitivity analysis (GSA) framework for agent-based models (ABMs) that explicitly handles their distinctive...
-
Dynamics of activation in the voltage-sensing domain of Ciona intestinalis phosphatase Ci-VSP
The Ciona intestinalis voltage-sensing phosphatase (Ci-VSP) is a membrane protein containing a voltage-sensing domain (VSD) that is homologous to...
-
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
The incorporation of machine learning methods into proteomics workflows improves the identification of disease-relevant biomarkers and biological...
-
Three-dimensional wide-field fluorescence microscopy for transcranial map** of cortical microcirculation
Wide-field fluorescence imaging is an indispensable tool for studying large-scale biodynamics. Limited space-bandwidth product and strong light...
-
Protein complex prediction using Rosetta, AlphaFold, and mass spectrometry covalent labeling
Covalent labeling (CL) in combination with mass spectrometry can be used as an analytical tool to study and determine structural properties of...
-
Remote sensing of emperor penguin abundance and breeding success
Emperor penguins ( Aptenodytes forsteri ) are under increasing environmental pressure. Monitoring colony size and population trends of this Antarctic...
-
Tropical deforestation causes large reductions in observed precipitation
Tropical forests play a critical role in the hydrological cycle and can influence local and regional precipitation
1 . Previous work has assessed the...