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07/19/2022
Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method
The deployment of the sensor nodes (SNs) always plays a decisive role in...
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03/23/2022
Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction
Cone-Beam Computed Tomography (CBCT) has been proven useful in diagnosis...
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02/27/2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
In this paper, we propose a phase attention residual network (PA-ResSeg)...
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11/03/2020
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
Learning vector autoregressive models from multivariate time series is c...
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12/25/2019
Learning performance in inverse Ising problems with sparse teacher couplings
We investigate the learning performance of the pseudolikelihood maximiza...
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03/04/2019
Similarity-based Random Survival Forest
Predicting the time to a clinical outcome for patients in intensive care...
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01/14/2019
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Learning the undirected graph structure of a Markov network from data is...
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11/08/2017
