One-shot learning and eligibility traces in sequential decision making

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This study integrates deep learning and geospatial analysis to enhance soil loss estimation in the Moulouya Watershed, a region prone to erosion due to diverse topography and climatic conditions. Traditional models like the Universal Soil Loss Equation (US ...

Image steganalysis, detecting hidden data in digital images, is essential for enhancing digital security. Traditional steganalysis methods typically rely on large, pre-labeled image datasets, which are difficult and costly to compile. To address this, this ...

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BackgroundBronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) h ...

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MammAlps is a multimodal and multi-view dataset of wildlife behavior monitoring. Nine camera-traps were placed at three monitoring sites in the Swiss National Park, from which we curated over 14 hours of video with audio, 2D segmentation maps and 8.5 hours ...

Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social in ...

One-shot learning and eligibility traces in sequential decision making

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Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Image steganalysis using active learning and hyperparameter optimization

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

On the added value of sequential deep learning for the upscaling of evapotranspiration

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Enhancing skin lesion classification: a CNN approach with human baseline comparison

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Machine Learning in Decision-Making Systems: Fairness, Robustness, and Data Bias

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks

Topics in statistical physics of high-dimensional machine learning

Understanding generalization and robustness in modern deep learning

Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Predicting the long-term collective behaviour of fish pairs with deep learning