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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
  Memory (LSTM) Network

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

9 August 2018
A. Sherstinsky
ArXivPDFHTML

Papers citing "Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network"

50 / 327 papers shown
Title
A Survey of AI Music Generation Tools and Models
A Survey of AI Music Generation Tools and Models
Yueyue Zhu
Jared Baca
Banafsheh Rekabdar
Reza Rawassizadeh
MGen
35
14
0
24 Aug 2023
Towards the Development of an Uncertainty Quantification Protocol for
  the Natural Gas Industry
Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry
Babajide Kolade
14
0
0
05 Aug 2023
Meta-Analysis and Systematic Review for Anomaly Network Intrusion
  Detection Systems: Detection Methods, Dataset, Validation Methodology, and
  Challenges
Meta-Analysis and Systematic Review for Anomaly Network Intrusion Detection Systems: Detection Methods, Dataset, Validation Methodology, and Challenges
Z. K. Maseer
R. Yusof
Baidaa Al-Bander
Abdulgbar Saif
Qusay Kanaan Kadhim
14
14
0
05 Aug 2023
Universal Approximation of Linear Time-Invariant (LTI) Systems through
  RNNs: Power of Randomness in Reservoir Computing
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Shashank Jere
Lizhong Zheng
Karim A. Said
Lingjia Liu
28
2
0
04 Aug 2023
Effectiveness and predictability of in-network storage cache for
  scientific workflows
Effectiveness and predictability of in-network storage cache for scientific workflows
Caitlin Sim
K. Wu
A. Sim
I. Monga
C. Guok
F. Würthwein
Diego Davila
Harvey B. Newman
J. Balcas
12
3
0
20 Jul 2023
A Lightweight Framework for High-Quality Code Generation
A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq
B.K. Casey
Joanna C. S. Santos
44
17
0
17 Jul 2023
Machine learning for option pricing: an empirical investigation of
  network architectures
Machine learning for option pricing: an empirical investigation of network architectures
Laurens Van Mieghem
A. Papapantoleon
Jonas Papazoglou-Hennig
16
2
0
14 Jul 2023
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
Weijie Xu
Xiaoyu Jiang
Jay Desai
Bin Han
Fuqin Yan
Francis Iannacci
BDL
31
3
0
04 Jul 2023
GenRec: Large Language Model for Generative Recommendation
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji
Zelong Li
Shuyuan Xu
Wenyue Hua
Yingqiang Ge
Juntao Tan
Yongfeng Zhang
19
51
0
02 Jul 2023
Deep Metric Learning with Soft Orthogonal Proxies
Deep Metric Learning with Soft Orthogonal Proxies
F. Saberi-Movahed
M. K. Ebrahimpour
Farid Saberi-Movahed
Monireh Moshavash
Dorsa Rahmatian
Mahvash Mohazzebi
Mahdi Shariatzadeh
M. Eftekhari
21
3
0
22 Jun 2023
Reconstruction, forecasting, and stability of chaotic dynamics from
  partial data
Reconstruction, forecasting, and stability of chaotic dynamics from partial data
Elise Özalp
G. Margazoglou
Luca Magri
AI4TS
18
10
0
24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
48
23
0
23 May 2023
Sequence-to-Sequence Forecasting-aided State Estimation for Power
  Systems
Sequence-to-Sequence Forecasting-aided State Estimation for Power Systems
Kamal Basulaiman
M. Barati
BDL
AI4TS
21
4
0
22 May 2023
Outage Performance and Novel Loss Function for an ML-Assisted Resource
  Allocation: An Exact Analytical Framework
Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework
Nidhi Simmons
D. Simmons
M. Yacoub
14
6
0
16 May 2023
Shared and Private Information Learning in Multimodal Sentiment Analysis
  with Deep Modal Alignment and Self-supervised Multi-Task Learning
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning
Songning Lai
Jiakang Li
Guinan Guo
Xifeng Hu
Yulong Li
...
Yutong Liu
Zhaoxia Ren
Chun Wan
Danmin Miao
Zhi Liu
SSL
36
9
0
15 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on
  Wearable Medical Sensors
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li
N. Jha
26
7
0
09 May 2023
Effects of data time lag in a decision-making system using machine
  learning for pork price prediction
Effects of data time lag in a decision-making system using machine learning for pork price prediction
Mario E. Suaza-Medina
F. J. Zarazaga-Soria
Jorge Pinilla-Lopez
F. J. Lopez-Pellicer
J. Lacasta
8
3
0
09 May 2023
Vision-based Estimation of Fatigue and Engagement in Cognitive Training
  Sessions
Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions
Yanchen Wang
Adam Turnbull
Yunlong Xu
Kathi Heffner
F. Lin
Ehsan Adeli
18
1
0
24 Apr 2023
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure
  Prediction
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
Zakary Georgis-Yap
Milos R. Popovic
Shehroz S. Khan
31
5
0
24 Apr 2023
Fluctuation based interpretable analysis scheme for quantum many-body
  snapshots
Fluctuation based interpretable analysis scheme for quantum many-body snapshots
Henning Schlomer
A. Bohrdt
11
4
0
12 Apr 2023
Global Prompt Cell: A Portable Control Module for Effective Prompt
  Tuning
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning
Chi-Liang Liu
Hao Wang
Nuwa Xi
Sendong Zhao
Bing Qin
VLM
16
1
0
12 Apr 2023
Classification of integers based on residue classes via modern deep
  learning algorithms
Classification of integers based on residue classes via modern deep learning algorithms
Dangwei Wu
Jing Yang
Mian Umair Ahsan
Kai Wang
39
1
0
03 Apr 2023
Core-Periphery Principle Guided Redesign of Self-Attention in
  Transformers
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers
Xiao-Xing Yu
Lu Zhang
Haixing Dai
Yanjun Lyu
Lin Zhao
Zihao Wu
David Liu
Tianming Liu
Dajiang Zhu
GNN
36
9
0
27 Mar 2023
ReBotNet: Fast Real-time Video Enhancement
ReBotNet: Fast Real-time Video Enhancement
Jeya Maria Jose Valanarasu
Rahul Garg
Andeep S. Toor
Xin Tong
Weijuan Xi
Andreas Lugmayr
Vishal M. Patel
A. Menini
32
0
0
23 Mar 2023
Reimagining Application User Interface (UI) Design using Deep Learning
  Methods: Challenges and Opportunities
Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities
Subtain Malik
M. T. Saeed
Marya Jabeen Zia
S. Rasool
Liaquat A. Khan
Mian Ilyas Ahmed
AI4TS
AI4CE
9
2
0
23 Mar 2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Frances Fengyi Yang
Michele Sasdelli
Tat-Jun Chin
24
1
0
22 Mar 2023
Real-Time Measurement-Driven Reinforcement Learning Control Approach for
  Uncertain Nonlinear Systems
Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems
M. Abouheaf
D. Boase
W. Gueaieb
D. Spinello
S. Al-Sharhan
13
13
0
15 Mar 2023
OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved
  Medical Text Classification
OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification
Mai A. Shaaban
Mariam Kashkash
Maryam Alghfeli
A. Ibrahim
16
0
0
14 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated
  Learning
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann
Andreas Lutz
Karsten Müller
Wojciech Samek
23
10
0
07 Mar 2023
Toward Data-Driven Glare Classification and Prediction for Marine
  Megafauna Survey
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey
J. Power
Derek Jacoby
M. Drouin
Guillaume Durand
Yvonne Coady
Julian Meng
31
1
0
03 Mar 2023
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes
  Patients with the use of Continuous Glucose Monitoring Data
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data
Jakub J Dylag
26
0
0
24 Feb 2023
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class
  Classification of Cardiac Irregularities Using ECG Waveforms and Clinical
  Notes
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
Ankur Samanta
Mark Karlov
Meghna Ravikumar
Christian McIntosh Clarke
Jayakumar Rajadas
Kaveh Hassani
26
1
0
21 Feb 2023
UAV Path Planning Employing MPC- Reinforcement Learning Method
  Considering Collision Avoidance
UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance
M. Ramezani
Hamed Habibi
Jose Luis Sanchez-Lopez
Holger Voos
17
13
0
21 Feb 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression
Efficient Generator of Mathematical Expressions for Symbolic Regression
Sebastian Mežnar
S. Džeroski
L. Todorovski
35
12
0
20 Feb 2023
Scalable Bayesian optimization with high-dimensional outputs using
  randomized prior networks
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Mohamed Aziz Bhouri
M. Joly
Robert Yu
S. Sarkar
P. Perdikaris
BDL
UQCV
AI4CE
19
1
0
14 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
31
12
0
14 Feb 2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot
  Teams via Recurrent Neural Schedule Propagation
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
Batuhan Altundas
Zheyuan Wang
Joshua Bishop
Matthew C. Gombolay
31
4
0
30 Jan 2023
Who Should I Engage with At What Time? A Missing Event Aware Temporal
  Graph Neural Network
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network
Mingyi Liu
Zhiying Tu
Xiaofei Xu
Zhongjie Wang
AI4TS
21
2
0
20 Jan 2023
Bag of States: A Non-sequential Approach to Video-based Engagement
  Measurement
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement
Ali Abedi
Chinchu Thomas
D. Jayagopi
Shehroz S. Khan
24
8
0
17 Jan 2023
Rock Guitar Tablature Generation via Natural Language Processing
Rock Guitar Tablature Generation via Natural Language Processing
Josue Casco-Rodriguez
34
1
0
12 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and
  Disentanglement
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Y. Li
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffM
AI4TS
22
99
0
08 Jan 2023
Deep learning approach for interruption attacks detection in LEO
  satellite networks
Deep learning approach for interruption attacks detection in LEO satellite networks
Nacereddine Sitouah
Fatiha Merazka
Abdenour Hedjazi
8
2
0
10 Dec 2022
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Alexander Glavackij
Dimitri Percia David
Alain Mermoud
Angelika Romanou
Karl Aberer
AI4TS
11
0
0
28 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Zhen-Ji Huang
Yunyang Huang
Peng Qian
Jianhai Chen
Qinming He
GNN
30
6
0
26 Nov 2022
Photonic Quantum Computing For Polymer Classification
Photonic Quantum Computing For Polymer Classification
A. Stoyanova
Taha Hammadia
Arno Ricou
Bogdan Penkovsky
19
1
0
22 Nov 2022
OLGA : An Ontology and LSTM-based approach for generating Arithmetic
  Word Problems (AWPs) of transfer type
OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type
Suresh Kumar
P. Sreenivasa Kumar
26
1
0
22 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu
Ting Yu
Tao Xu
Hongyang Chen
Schahram Dustdar
...
Tariq S. Durrani
Huaimin Wang
Jiangxing Wu
Tongyi Zhang
Yunhe Pan
AI4CE
27
117
0
21 Nov 2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on
  Resource Constrained Devices using Divide and Collaborative Training
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training
Quan Nguyen
Hieu H. Pham
Kok-Seng Wong
Phi Le Nguyen
Truong Thao Nguyen
Minh N. Do
FedML
19
7
0
20 Nov 2022
Step Counting with Attention-based LSTM
Step Counting with Attention-based LSTM
Shehroz S. Khan
Ali Abedi
HAI
16
8
0
18 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
49
0
14 Nov 2022
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