Jordan J. Bird

Orcid: 0000-0002-9858-1231

According to our database1, Jordan J. Bird authored at least 42 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques.
Sensors, February, 2024

A Deep Learning Method for Classification of Biophilic Artworks.
CoRR, 2024

UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection.
CoRR, 2024

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images.
IEEE Access, 2024

2023
Writer-independent signature verification; Evaluation of robotic and generative adversarial attacks.
Inf. Sci., July, 2023

Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification.
J. Ambient Intell. Humaniz. Comput., 2023

Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation.
Genet. Program. Evolvable Mach., 2023

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision.
CoRR, 2023

Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion.
CoRR, 2023

AI Generated Art: Latent Diffusion-Based Style and Detection.
Proceedings of the Advances in Computational Intelligence Systems, 2023

Toward a holistic elderly-centred behaviour monitoring solution: Achievements and Opportunities.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer's Disease.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

A Neuroevolution Approach to Keypoint-Based Sign Language Fingerspelling Classification.
Proceedings of the 15th International Congress on Advanced Applied Informatics Winter, 2023

2022
Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification.
CoRR, 2022

Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor.
CoRR, 2022

Reducing Overconfidence Predictions in Autonomous Driving Perception.
IEEE Access, 2022

EEG Wavelet Classification for Fall Detection with Genetic Programming.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Affective Computing in Computer Vision: A Study on Facial Expression Recognition.
Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter, 2022

2021
Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation.
IEEE Robotics Autom. Lett., 2021

Improving Customer Service Chatbots with Attention-based Transfer Learning.
CoRR, 2021

Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach.
CoRR, 2021

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation.
CoRR, 2021

2020
On the effects of pseudorandom and quantum-random number generators in soft computing.
Soft Comput., 2020

British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language.
Sensors, 2020

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning.
J. Ambient Intell. Humaniz. Comput., 2020

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms.
Expert Syst. Appl., 2020

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity.
CoRR, 2020

Probabilistic Object Classification using CNN ML-MAP layers.
CoRR, 2020

Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG.
IEEE Access, 2020

From Simulation to Reality: CNN Transfer Learning for Scene Classification.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing.
CoRR, 2019

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction.
Complex., 2019

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Classification of EEG Signals Based on Image Representation of Statistical Features.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Accent classification in human speech biometrics for native and non-native english speakers.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Phoneme aware speech recognition through evolutionary optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
A Study on CNN Transfer Learning for Image Classification.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System.
Proceedings of the Advances in Computational Intelligence Systems, 2018

A Study on Mental State Classification using EEG-based Brain-Machine Interface.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018


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