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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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03/01/2023
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
Reliable multi-agent trajectory prediction is crucial for the safe plann...
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05/10/2022
On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning
The UK anti-fraud charity Fraud Advisory Panel (FAP) in their review of ...
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01/01/2022
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media
Hydroxychloroquine (HCQ) is used to prevent or treat malaria caused by m...
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12/21/2021
Exponential decay of intersection volume with applications on list-decodability and Gilbert-Varshamov type bound
We give some natural sufficient conditions for balls in a metric space t...
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12/01/2021
Improved sparse PCA method for face and image recognition
Face recognition is the very significant field in pattern recognition ar...
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11/30/2021
Text classification problems via BERT embedding method and graph convolutional neural network
This paper presents the novel way combining the BERT embedding method an...
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07/29/2020
Predictive Probability Path Planning Model For Dynamic Environments
Path planning in dynamic environments is essential to high-risk applicat...
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06/30/2020
Predicting Sample Collision with Neural Networks
Many state-of-art robotics applications require fast and efficient motio...
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03/01/2020
Demonstrating Immersive Media Delivery on 5G Broadcast and Multicast Testing Networks
This work presents eight demonstrators and one showcase developed within...
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08/29/2019
Solve fraud detection problem by using graph based learning methods
The credit cards' fraud transactions detection is the important problem ...
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02/20/2019
Point cloud denoising based on tensor Tucker decomposition
In this paper, we propose an algorithm for point cloud denoising based o...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/24/2018
A Trio Neural Model for Dynamic Entity Relatedness Ranking
Measuring entity relatedness is a fundamental task for many natural lang...
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01/14/2017
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events
Long-running, high-impact events such as the Boston Marathon bombing oft...
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01/14/2017
