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Temporal Logistic Neural Bag-of-Features for Financial Time series
  Forecasting leveraging Limit Order Book Data

Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data

24 January 2019
Nikolaos Passalis
Anastasios Tefas
Juho Kanniainen
Moncef Gabbouj
Alexandros Iosifidis
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data"

11 / 11 papers shown
Title
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
175
5,298
0
11 Oct 2020
Machine Learning for Forecasting Mid Price Movement using Limit Order
  Book Data
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data
Paraskevi Nousi
Avraam Tsantekidis
Nikolaos Passalis
Adamantios Ntakaris
Juho Kanniainen
Anastasios Tefas
Moncef Gabbouj
Alexandros Iosifidis
59
53
0
19 Sep 2018
Tensor Representation in High-Frequency Financial Data for Price Change
  Prediction
Tensor Representation in High-Frequency Financial Data for Price Change Prediction
D. Tran
M. Magris
Juho Kanniainen
Moncef Gabbouj
Alexandros Iosifidis
AIFin
77
60
0
05 Sep 2017
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Nikolaos Passalis
Anastasios Tefas
72
70
0
25 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
123
463
0
03 Feb 2017
Multi-Scale Convolutional Neural Networks for Time Series Classification
Multi-Scale Convolutional Neural Networks for Time Series Classification
Zhicheng Cui
Wenlin Chen
Yixin Chen
61
566
0
22 Mar 2016
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
127
1,107
0
11 Nov 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
350
10,083
0
10 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
355
18,654
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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