Heriberto Cuayáhuitl

Heriberto Cuayáhuitl

University of Lincoln

H-index: 29

Europe-United Kingdom

About Heriberto Cuayáhuitl

Heriberto Cuayáhuitl, With an exceptional h-index of 29 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Lincoln, specializes in the field of Machine Intelligence, Spoken Dialogue Systems, Robot Learning, Conversational AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

A survey on deep reinforcement learning for audio-based applications

A comparison of neural-based visual recognisers for speech activity detection

Sparks of large audio models: A survey and outlook

Transformers in speech processing: A survey

Electronic apparatus and learning method of electronic apparatus

Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network

Audio Embedding-Aware Dialogue Policy Learning

Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination

Heriberto Cuayáhuitl Information

University

Position

School of Computer Science UK

Citations(all)

2262

Citations(since 2020)

948

Cited By

1681

hIndex(all)

29

hIndex(since 2020)

15

i10Index(all)

50

i10Index(since 2020)

25

Email

University Profile Page

University of Lincoln

Google Scholar

View Google Scholar Profile

Heriberto Cuayáhuitl Skills & Research Interests

Machine Intelligence

Spoken Dialogue Systems

Robot Learning

Conversational AI

Top articles of Heriberto Cuayáhuitl

Title

Journal

Author(s)

Publication Date

A survey on deep reinforcement learning for audio-based applications

Artificial Intelligence Review

Siddique Latif

Heriberto Cuayáhuitl

Farrukh Pervez

Fahad Shamshad

Hafiz Shehbaz Ali

...

2023/3

A comparison of neural-based visual recognisers for speech activity detection

International Journal of Speech Technology

Sajjadali Raza

Heriberto Cuayáhuitl

2023/9

Sparks of large audio models: A survey and outlook

Siddique Latif

Moazzam Shoukat

Fahad Shamshad

Muhammad Usama

Ren Yi

...

2023/8/24

Transformers in speech processing: A survey

arXiv preprint arXiv:2303.11607

Siddique Latif

Aun Zaidi

Heriberto Cuayahuitl

Fahad Shamshad

Moazzam Shoukat

...

2023/3/21

Electronic apparatus and learning method of electronic apparatus

2022/5/31

Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network

Journal of Physics: Conference Series

Yicheng Zhang

Cheng Hu

Mei Liu

Hao Luan

Fang Lei

...

2022/4/1

Audio Embedding-Aware Dialogue Policy Learning

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Asier López Zorrilla

María Inés Torres

Heriberto Cuayáhuitl

2022/11/30

Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination

Abdalkarim Mohtasib

Gerhard Neumann

Heriberto Cuayáhuitl

2022/10/23

OLGMD: An Opponent Colour LGMD-based Model for Collision Detection with Thermal Images at Night

Mei Liu

Yicheng Zhang

Heriberto Cuayahuitl

Mu Hua

Fang Lei

...

2022/9/6

O-LGMD: An opponent colour LGMD-based model for collision detection with thermal images at night

Yicheng Zhang

Jiannan Zhao

Mu Hua

Hao Luan

Mei Liu

...

2022/9/6

Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations

Abdalkarim Mohtasib

E Amir Ghalamzan

Nicola Bellotto

Heriberto Cuayáhuitl

2021/7/18

A divide-and-conquer approach to neural natural language generation from structured data

Neurocomputing

Nina Dethlefs

Annika Schoene

Heriberto Cuayáhuitl

2021/4/14

Audio Embeddings Help to Learn Better Dialogue Policies

Asier López Zorrilla

M Inés Torres

Heriberto Cuayáhuitl

2021/12/13

Reward-Based Environment States for Robot Manipulation Policy Learning

arXiv preprint arXiv:2112.05621

Cédérick Mouliets

Isabelle Ferrané

Heriberto Cuayáhuitl

2021/12/10

A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning

Abdalkarim Mohtasib

Gerhard Neumann

Heriberto Cuayáhuitl

2021

Lightweight non-intrusive load monitoring employing pruned sequence-to-point learning

Jack Barber

Heriberto Cuayáhuitl

Mingjun Zhong

Wenpeng Luan

2020/11/18

A data-efficient deep learning approach for deployable multimodal social robots

Neurocomputing

Heriberto Cuayáhuitl

2020/7/5

See List of Professors in Heriberto Cuayáhuitl University(University of Lincoln)

Co-Authors

H-index: 48
Tony Belpaeme

Tony Belpaeme

Universiteit Gent

H-index: 47
Oliver Lemon

Oliver Lemon

Heriot-Watt University

H-index: 38
Verena Rieser

Verena Rieser

Heriot-Watt University

H-index: 33
Lola Cañamero

Lola Cañamero

University of Hertfordshire

H-index: 30
Helen Hastie (née Wright)

Helen Hastie (née Wright)

Heriot-Watt University

H-index: 29
Paul Baxter

Paul Baxter

University of Lincoln

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