New Parametric 3D Snake for Medical Segmentation of Structures with Cylindrical Topology

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New Parametric 3D Snake for Medical Segmentation of Structures with Cylindrical Topology

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A ride time-oriented scheduling algorithm for dial-a-ride problems

The effect of smooth parametrizations on nonconvex optimization landscapes

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Secure Interface Design Leveraging Hardware/Software Support

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Aggregating Spatial and Photometric Context for Photometric Stereo

Scalable constrained optimization

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Enabling Uncertainty Estimation in Iterative Neural Networks

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Investigating neural resource allocation in the sensorimotor control of extra limbs

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives

Stochastic adaptive resampling for the estimation of discrete choice models

Bayesian Optimization for Chemical Reactions

Adapting Haptic Feedback for Guided Meditation

Deep Learning for 3D Surface Modelling and Reconstruction

Confidence Matters: Applications to Semantic Segmentation

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Towards Novel Evaluation Methods for Social Dialog Systems