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Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows

Authors:  ShengcaiLiu, KeTang, XinYao....
Published date-11/12/2020

Abstract: The vehicle routing problem with simultaneous pickup-delivery and time windows (VRPSPDTW) has attracted much attention in the last decade, due to its wide application in modern logistics involving bi-directional flow …
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Theoretical Knowledge Graph Reasoning via Ending Anchored Rules

Authors:  CanlinZhang, YannisKatsis, YoshikiVazquez-Baeza....
Published date-11/12/2020
Tasks:  KnowledgeGraphCompletion, KnowledgeGraphs, LinkPrediction

Abstract: Discovering precise and specific rules from knowledge graphs is regarded as an essential challenge, which can improve the performances of many downstream tasks and even provide new ways to approach …
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RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Authors:  ZheweiHuang, TianyuanZhang, WenHeng....
Published date-11/12/2020
Tasks:  VideoFrameInterpolation

Abstract: We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video Frame Interpolation (VFI). Most existing methods first estimate the bi-directional optical flows and then linearly combine them to approximate …
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Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic

Authors:  NiloPedrazzini....
Published date-11/12/2020
Tasks:  DependencyParsing, Part-Of-SpeechTagging

Abstract: This paper explores the possibility of improving the performance of specialized parsers for pre-modern Slavic by training them on data from different related varieties. Because of their linguistic heterogeneity, pre-modern …
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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Authors:  ZekeXie, FengxiangHe, ShaopengFu....
Published date-11/12/2020

Abstract: Deep learning is often criticized by two serious issues which rarely exist in natural nervous systems: overfitting and catastrophic forgetting. It can even memorize randomly labelled data, which has little …
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Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM

Authors:  JiachengWang, WeihengLi....
Published date-11/12/2020
Activation Functions
LSTM
Recurrent Neural Networks
Sigmoid Activation
Tanh Activation
Tasks:  AtrialFibrillationDetection, ECGClassification

Abstract: It is challenging to visually detect heart disease from the electrocardiographic (ECG) signals. Implementing an automated ECG signal detection system can help diagnosis arrhythmia in order to improve the accuracy …
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