Machine Learning articles for Switzerland

Time frame: 1 June 2025 - 30 May 2026

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Count: 32

Article ‘Count’ for Machine Learning.

Journal Count Share
1 0.50
Algorithmic Facial Expression Analysis: A Novel Methodology to Advance Management Research on Emotions 0.50
1 1.00
Deep Learning–Driven Analysis and Quantification of Histopathological features in a DSS-induced Colitis Mouse Model 1.00
2 0.53
Distinct developmental trajectories of externally and internally generated hippocampal sequences and assemblies 0.03
Individual identification of brown bears using pose-aware metric learning 0.50
5 4.17
Mastering the Labyrinth Game: Efficient Multimodal Reinforcement Learning with Selective Reconstruction 1.00
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation 0.17
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing 1.00
CueLearner: Bootstrapping and local policy adaptation from relative feedback 1.00
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network 1.00
1 1.00
TRANSIT your events into a new mass: fast background interpolation for weakly-supervised anomaly searches 1.00
2 0.35
Distinct neuronal populations in the human brain combine content and context 0.07
Fair human-centric image dataset for ethical AI benchmarking 0.28
13 5.48
Multi-modal AI for comprehensive breast cancer prognostication 0.10
Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response 0.08
Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan 0.22
Supernetwork-based efficient mapping of deep learning applications to mixed-precision hardware using model adaptation 0.55
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems 1.00
Backpropagation through space, time and the brain 1.00
Hippocampus supports multi-task reinforcement learning under partial observability 0.14
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer 0.07
A predictive approach to enhance time-series forecasting 0.14
DelGrad: exact event-based gradients for training delays and weights on spiking neuromorphic hardware 0.63
Generating brain-wide connectome using synthetic axonal morphologies 0.80
A neuromorphic processor with on-chip learning for beyond-CMOS device integration 0.31
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity 0.44
2 1.13
Linking neural manifolds to circuit structure in recurrent networks 0.83
Exploiting correlations across trials and behavioral sessions to improve neural decoding 0.30
1 0.80
Biorthogonal Neural Network Approach to 2D Non-Hermitian Systems 0.80
1 1.00
Statistical Physics Analysis of Graph Neural Networks: Approaching Optimality in the Contextual Stochastic Block Model 1.00
3 1.12
Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment 0.07
Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling 1.00
Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance 0.05

Numerical information only (in the tables above) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.