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Papers matching “LSTM” 35

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Hierarchical Prediction of Registration Misalignment Using a Convolutional LSTM: Application to Chest CT Scans
2021 IEEE Access article Computer Science Medical Image Segmentation Techniques Open access

Hessam Sokooti, Sahar Yousefi, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Marius Staring

21

citations
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language Model
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Wei Guo Zhou, Ralf Schlüter, Hermann Ney

11

citations
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney

8

citations
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Ralf Schlüter, Hermann Ney

1

citations
Design and Exploration of an ARC-Coprocessor for LSTM Based Audio Applications
2022 IEEE Nordic Circuits and Systems Conference (NorCAS) conference-paper Computer Science Embedded Systems Design Techniques

Sebastian Birke, Dominik Auras, Markus Wloka, Gerd Ascheid, Rainer Leupers

0

citations
LSTM-based Inverse Dynamics Learning for Franka Emika Robot
2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics

Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke

1

citations
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks
2020 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection Open access cited by 1 patent

Segun Isaiah Popoola, Bamidele Adebisi, Mohammad Ali A. Hammoudeh, Guan Gui, Haris Gacanin

249

citations
Are LSTMs good few-shot learners?
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

12

citations
Are LSTMs Good Few-Shot Learners?
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

0

citations
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Wei Guo Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney

47

citations
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Parnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney

5

citations
Vibration-Based Non-Contact Activity Classification for Home Cage Monitoring Using a Tuned-Beam IMU Sensing Device
2025 Sensors article Computer Science Context-Aware Activity Recognition Systems Open access

Pieter Try, Rene Hany Tolba, Marion Gebhard

1

citations
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney

1

citations
Predicting Purchase Intention Using Twitter Data
2022 Research Square preprint Computer Science Sentiment Analysis and Opinion Mining Open access

Syed Zain Zaidi

1

citations
A Sequence-to-Sequence Multi-Fidelity Surrogate Modeling Approach for the Reflow Soldering Process
2025 International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms

Xiaohan Wei, Qing Zhang, Thomas Bäck, Hao Wang

0

citations
MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jona te Lintelo, Lichao Wu, Marina Krček, Sengim Karayalçın, Stjepan Picek

0

citations
Deep cross-modal hashing with multi-task latent space learning
2024 Engineering Applications of Artificial Intelligence article Computer Science Advanced Image and Video Retrieval Techniques

Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao

14

citations
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features
2022 conference-paper Computer Science Sentiment Analysis and Opinion Mining Open access

Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz

8

citations
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features
2022 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access

Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz

2

citations
T-DANTE: Detecting Group Behaviour in Spatio-Temporal Trajectories Using Context Information
2024 Lecture notes in computer science conference-paper Computer Science Data Management and Algorithms Open access

Maedeh Nasri, Thomas Maliappis, Carolien J. Rieffe, Mitra Baratchi

0

citations
Stateless neural meta-learning using second-order gradients
2022 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

9

citations
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Vitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney

3

citations
Development of a DNI Forecast Tool Based on Machine Learning for the Smart Operation of a Parabolic Trough Collector System with Thermal Energy Storage
2024 SolarPACES Conference Proceedings conference-paper Computer Science Solar Radiation and Photovoltaics Open access

Johannes Christoph Sattler, Siddharth Dutta, Spiros Alexopoulos, Adnan Kawam, Cristiano Teixeira Boura, Ulf Herrmann, +1 more

0

citations
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Hate Speech and Cyberbullying Detection Open access

Md. Rezaul Karim, Sumon Kanti Dey

108

citations
A Mott Insulator-Based Oscillator Circuit for Reservoir Computing
2020 IEEE International Symposium on Circuits and Systems proceedings conference-paper Computer Science Neural Networks and Reservoir Computing

Wen Ma, Tyler Hennen, Martin Lueker-Boden, Rick Galbraith, Jonas Goode, Won Ho Choi, +5 more

11

citations