Found 4239 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Anatomy-guided Inverse-phase-encoding Registration Method for Correcting Susceptibility Artifacts in Sub-millimeter fMRI

Evaluations on two high-resolution EPI-fMRI datasets, acquired at 3T and 7T scanners, confirm that the proposed method provides more robust and sharper corrections and runs faster compared with two other state-of-the-art inverse-PE based susceptibility artifact correction methods, i.e. Expand abstract.
1 hours ago
4/10 relevant
bioRxiv

Probing new physics using Rydberg states of atomic hydrogen

We consider the role of high-lying Rydberg states of simple atomic systems such as $^1$H in setting constraints on physics beyond the Standard Model. Expand abstract.
4 days ago
4/10 relevant
arXiv

Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model

Conclusions: An AI model for automatic CA diagnosis achieving state-of-the-art accuracy was developed as the result of a community-based AI challenge advocating open-source research. Expand abstract.
4 days ago
4/10 relevant
bioRxiv

Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP

State-of-the-art solvers do not allow such a declarative specification. Expand abstract.
5 days ago
4/10 relevant
arXiv

Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator

Through an extensive experimental validation on the GOT-10k, OTB-100, LaSOT, UAV123 and VOT benchmarks, we show that the proposed trackers achieve state-of-the-art performance while running in real-time. Expand abstract.
5 days ago
5/10 relevant
arXiv

Re-ID Driven Localization Refinement for Person Search

Extensive experimental results on the widely used benchmarks demonstrate that our proposed method performs favorably against the state-of-the-art person search methods. Expand abstract.
5 days ago
5/10 relevant
arXiv

Statistical and machine learning ensemble modelling to forecast sea surface temperature

Results demonstrated that by combining automated feature engineering with machine-learning approaches, accuracy comparable to existing state-of-the-art can be achieved. Expand abstract.
5 days ago
5/10 relevant
arXiv

Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition

We introduce the concept of simultaneous segmentation and recognition applied to ego hand gestures, present the network architecture, the training procedure and the results compared to the state of the art on the EgoGesture dataset Expand abstract.
5 days ago
4/10 relevant
arXiv

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

The experiment results show that algorithms incorporating the exploration-and-exploitation and temporal dynamics are more effective in the next-day recommendation task than most state-of-the-art algorithms. Expand abstract.
6 days ago
5/10 relevant
arXiv

Multi Sense Embeddings from Topic Models

We use our embeddings to show that they can capture the context and word similarity strongly and outperform various state-of-the-art implementations. Expand abstract.
6 days ago
4/10 relevant
arXiv