All References (373)

Papers, books, and other sources cited in the thesis.

373 papers

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Fish Species and Par

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Introduction Literature Survey Oil Contamination an

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Introduction Literature Survey Oil Contamination an

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Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Introduction Literature Survey Oil Contamination an

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Introduction Literature Survey Conclusions

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Fish Species and Par

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Contrastive Learning

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Literature Survey

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Introduction Literature Survey Contrastive Learning Conclusions

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Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Introduction Literature Survey

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Literature Survey

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THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

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Oil Contamination an

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Introduction Literature Survey Contrastive Learning Conclusions

HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Contrastive Learning

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Literature Survey Fish Species and Par Contrastive Learning

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Fish Species and Par Contrastive Learning

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Contrastive Learning

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Introduction Literature Survey Contrastive Learning Conclusions

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Fish Species and Par

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Introduction Literature Survey Fish Species and Par Oil Contamination an

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Literature Survey

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Literature Survey

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Fish Species and Par

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Introduction Literature Survey Contrastive Learning Conclusions

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Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

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Literature Survey

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Literature Survey Conclusions

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Literature Survey Fish Species and Par Contrastive Learning

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Fish Species and Par Contrastive Learning

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Literature Survey

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Literature Survey

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Fish Species and Par Contrastive Learning Conclusions

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Contrastive Learning

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Literature Survey

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Literature Survey

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Literature Survey

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Fish Species and Par

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Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

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Introduction Literature Survey Datasets and Process Contrastive Learning Conclusions

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Introduction Literature Survey

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Literature Survey

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DIFFERENCES IN LIPID PROFILE OF NEW ZEALAND MARINE SPECIES OVER FOUR SEASONS

Mclean (2005) Journal of Food Lipids 48 cites

Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation

McMillan (2023) Image and Vision Computing New Zealand 7 cites

Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring

McMillan (2024) Image and Vision Computing New Zealand 1 cites

Oil spill effects in biota and traditional populations from protected areas of Brazil’s Northeast

Mello (2025) Human and Ecological Risk Assessment 4 cites

Literature Survey

The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead

Metz (2023) The New York Times

Seafood mislabelling: comparisons of two western European case studies assist in defining influencing factors, mechanism

Miller (2012) Fish and Fisheries 100 cites

Literature Survey

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behaviour

Miller (2017) arXiv.org 418 cites

Explanation in Artificial Intelligence: Insights from the Social Sciences

Miller (2019) Artificial Intelligence 5,060 cites

Contrastive explanation: a structural-model approach

Miller (2021) Knowledge engineering review (Print) 187 cites

Purple Carrot Anthocyanin-Enhanced Gelatin-Chitin Films for Colorimetric Detection of Fish Adulteration by Formalin and

Moeinpour (2025) Applied Food Research 3 cites

Literature Survey

Production and Use of Food-Grade Lubricants

Moens (2003) Trends in Food Science & Technology 13 cites

Introduction Literature Survey Oil Contamination an

Introduction to Statistical Quality Control

Montgomery (2019) Technometrics 4,827 cites

Generalization and parameter estimation in feedforward nets: Some experiments

Morgan (1989) Advances in neural information processing systems

Fish Species and Par Contrastive Learning

Generalization and parameter estimation in feedforward nets: Some experiments

Morgan (1989) Advances in Neural Information Processing Systems

Test of Page-Hinckley, an approach for fault detection in an agro-alimentary production system

Mouss (2004) Asian Control Conference 130 cites

DNA Authentication of Fish Products Reveals Mislabeling Associated with Seafood Processing

Munoz-Colmenero (2016) Fisheries 43 cites

Literature Survey

Discrimination of milk fermented with different starter cultures by MALDI-TOF MS and REIMS fingerprinting

Murphy (2021) International Dairy Journal 12 cites

Datasets and Process

Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants

Nguyen (2023) Nature Reviews Microbiology 1,871 cites

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects

Ni (2019) Conference on Empirical Methods in Natural Language Processi 1,671 cites

Gene-associated markers provide tools for tackling illegal fishing and false eco-certification

Nielsen (2012) Nature Communications 257 cites

Literature Survey

Ordinal Regression with Multiple Output CNN for Age Estimation

Niu (2016) Computer Vision and Pattern Recognition 673 cites

Oil Contamination an Conclusions

Melbourne restaurant hunky dory accused of serving catfish to customers instead of dory

Heavy Metal Contamination and Health Risk Assessment of Smoked-Dried Fish Sold in Eke-Awka Market, Anambra State, Nigeri

Onoja (2025) Journal of Sustainable Research and Development 8 cites

Literature Survey

Long-term trends in length and age at sexual maturity of hoki Macruronus magellanicus and southern hake Merluccius austr

OpenSeas (2021) Revista de biologia marina y oceanografia 3 cites

Training language models to follow instructions with human feedback

Ouyang (2022) Neural Information Processing Systems 19,484 cites

LIPID MAPS: Serving the next generation of lipid researchers with tools, resources, data, and training

O’Donnell (2019) Science Signaling 123 cites

World Market of Omega-3 Fatty Acids

Panse (2016) Omega-3 Fatty Acids 12 cites

Misdescription incidents in seafood sector

Pardo (2016) Food Control 150 cites

Introduction Literature Survey

AI-RCAS: A Real-Time Artificial Intelligence Analysis System for Sustainable Fisheries Management

Park (2024) Sustainability 9 cites

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Paszke (2019) Neural Information Processing Systems 50,820 cites

Fish Species and Par

Catch reconstructions reveal that global marine fisheries catches are higher than reported and declining

Pauly (2016) Nature Communications 1,200 cites

Scikit-learn: Machine Learning in Python

Pedregosa (2011) Journal of machine learning research 87,518 cites

Fish Species and Par

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds

Pena-Alonso (2024) Italian National Conference on Sensors 4 cites

Microplastics (MPs) accumulation in two edible marine fish species sourced from the Bay of Bengal: Contamination level a

Pingki (2025) Journal of Food Composition and Analysis 18 cites

Literature Survey

An analytical and machine learning approach for total mercury and methylmercury determination in squid: enhancing food s

Piroutkova (2025) Food Chemistry 1 cites

Literature Survey Contrastive Learning Conclusions

Questions unanswered, stories untold: Reviewing the New Zealand Government’s response to Foreign Charter Vessel Allegati

Plant (2020) 0 cites

The Svalbard Global Seed Vault – conserving plant genetic resources for European and global food security

Plant (2020) Genetic Resources 3 cites

Unlocking sustainable extraction of natural antioxidants: Green solvents, smart technologies, scalability and future dir

Plant (2023) Separation Science and Technology 30 cites

Fully Convolutional Network and Region Proposal for Instance Identification with Egocentric Vision

Portaz (2017) 2017 IEEE International Conference on Computer Vision Worksh 13 cites

Horse meat scandal – A wake-up call for regulatory authorities

Premanandh (2013) Food control 207 cites

Introduction Literature Survey Oil Contamination an

Anomaly Detection for In situ Marine Plankton Images

Priya (2023) 2021 IEEE/CVF International Conference on Computer Vision Wo 14 cites

Minimally Invasive Evaluation of Venous Leg Ulcers in an Outpatient Setting Using Rapid Evaporative Ionization Mass Spec

Pruekprasert (2025) Journal of Vascular Surgery: Venous and Lymphatic Disorders 0 cites

Introduction Literature Survey

Anomaly Detection for In situ Marine Plankton Images

Pu (2021) 2021 IEEE/CVF International Conference on Computer Vision Wo 14 cites

Improving Language Understanding by Generative Pre-Training

Radford (2018) Arxiv 14,504 cites

Literature Survey

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Ribeiro (2016) North American Chapter of the Association for Computational 21,085 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Ribeiro (2016) North American Chapter of the Association for Computational 21,085 cites

Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products

Robinson (2021) IEEE Congress on Evolutionary Computation 2 cites

A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment

Robinson (2022) EvoApplications 1 cites

Theoretical and Empirical Analysis of ReliefF and RReliefF

Robnik-Sikonja (2003) Machine-mediated learning 2,944 cites

Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to m

Ross (2021) Meat Science 39 cites

Datasets and Process

Learning internal representations by error propagation

Rumelhart (1985)

Literature Survey

The annotated transformer

Rush (2018) Proceedings of workshop for NLP open source software (NLP-OS

Artificial Intelligence A Modern Approach 3rd Edition

Russell (2016) 1,099 cites

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Saxe (2013) International Conference on Learning Representations 2,031 cites

In vivo, in situ tissue analysis using rapid evaporative ionization mass spectrometry.

Schafer (2009) Angewandte Chemie 294 cites

Introduction Literature Survey Oil Contamination an

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Selvaraju (2017) International Journal of Computer Vision 25,775 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an

Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal sp

Seto (2025) Royal Society Open Science 9 cites

Microplastic contamination in Rupsha River of Bangladesh and its impacts on fish species

Shakik (2025) Regional Studies in Marine Science 9 cites

Literature Survey

Development of an intelligent surgical knife rapid evaporative ionization mass spectrometry based method for real-time d

Shen (2020) Journal of Food Composition and Analysis 22 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

Detection of fish frauds (basa catfish and sole fish) via iKnife rapid evaporative ionization mass spectrometry: An in s

Shen (2022) Food Control

Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

Shi (2021) Pattern Analysis and Applications 88 cites

Creating artificial neural networks that generalize

Sietsma (1991) Neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan (2014) International Conference on Learning Representations 110,297 cites

Evolutionary Aspects of Diet: The Omega-6/Omega-3 Ratio and the Brain

Simopoulos (2011) Molecular Neurobiology 600 cites

Genetic Programming for Multiclass Object Classification

Smart (2005) BSc (Honours) Research Project 11 cites

METLIN: A Metabolite Mass Spectral Database

Smith (2005) Therapeutic Drug Monitoring 2,101 cites

Super-convergence: very fast training of neural networks using large learning rates

Smith (2019) Defense + Commercial Sensing 1,666 cites

Ordinal Classification with Distance Regularization for Robust Brain Age Prediction

Solanky (2024) Medical Image Computing and Computer Assisted Intervention –

Denoising Diffusion Implicit Models

Song (2020) International Conference on Learning Representations 11,330 cites

Assessment of heavy metal contamination risk in dry fish from India: A comprehensive study

Sonone (2025) Food Control

Literature Survey

Dropout: a simple way to prevent neural networks from overfitting

Srivastava (2014) Journal of machine learning research 42,773 cites

Literature Survey Fish Species and Par

Fish byproducts are an under-valued and untapped resource

Stevens (2018) Global Seafood

StrictlyVC in conversation with Sam Altman, part two (OpenAI)

StrictlyVC (2023)

SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

Sun (2022) Data mining and knowledge discovery 19 cites

Reducing hallucinations in large language models: A consensus voting approach using mixture of experts

Fish Species and Par Oil Contamination an

Going deeper with convolutions

Szegedy (2015) Computer Vision and Pattern Recognition 46,871 cites

Fish Species and Par

Rethinking the Inception Architecture for Computer Vision

Szegedy (2016) Computer Vision and Pattern Recognition 30,559 cites

Fish Species and Par

Plankton Classification with Deep Learning

Sömek (2023) 2023 Signal Processing: Algorithms, Architectures, Arrangeme 0 cites

Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets

Taleb (2005) 57 cites

The Black Swan: The Impact of the Highly Improbable

Taleb (2007) 4,465 cites

A Survey on Deep Transfer Learning

Tan (2018) International Conference on Artificial Neural Networks 2,860 cites

Introduction Literature Survey Oil Contamination an

Deep networks for robust visual recognition

Tang (2010) Proceedings of the 27th International Conference on Machine

Response to the March 2023 'Pause Giant AI Experiments: An Open Letter' by Yoshua Bengio, signed by Stuart Russell, Elon

Tegmark (2023) Social Science Research Network 13 cites

Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: A Test Case for Pelagic Fish

Testolin (2022) IEEE Transactions on Mobile Computing 29 cites

Seafood Traceability in the United States: Current Trends, System Design, and Potential Applications.

Thompson (2005) Comprehensive Reviews in Food Science and Food Safety 126 cites

Literature Survey Datasets and Process Contrastive Learning

Genetic programming for feature construction and selection in classification on high-dimensional data

Tran (2016) Memetic Computing 205 cites

Fish Species and Par

Genetic programming for multiple-feature construction on high-dimensional classification

Tran (2019) Pattern Recognition 95 cites

Fish Species and Par Oil Contamination an

Digital technologies for traceability and transparency in the global fish supply chains: A systematic review and future

Turkson (2025) Marine Policy 26 cites

Introduction Literature Survey Contrastive Learning Conclusions

The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease

Tzafetas (2020) Proceedings of the National Academy of Sciences of the Unite 79 cites

Literature Survey

Stopping Illegal Fishing and Seafood Fraudsters: The Presidential Task Force’s Plan on Tackling IUU Fishing and Seafood

Unknown MSC International - English 5 cites

Preference Learning

Unknown (2010) 234 cites

Deep Learning Methods for Plankton Identification: A Bibliometric Analysis and General Review

Unknown (2022) 2022 1st International Conference on Smart Technology, Appli 1 cites

Negative emissions—Part 3: Innovation and upscaling

Unknown (2023) Callaghan Innovation 307 cites

Fishers' preference for mobile traceability platform: challenges in achieving a digital tuna supply chain in Davao Regio

Untal (2025) International Journal of Logistics Management 4 cites

Introduction Literature Survey Contrastive Learning Conclusions

Visualizing Data using t-SNE

Van der Maaten (2008) Journal of machine learning research 48,186 cites

Autonomous Plankton Classification from Reconstructed Holographic Imagery by L1- PCA-assisted Convolutional Neural Netwo

Vargas (2024) Global Oceans 2020: Singapore – U.S. Gulf Coast 4 cites

Autonomous Plankton Classification from Reconstructed Holographic Imagery by L1- PCA-assisted Convolutional Neural Netwo

Varma (2020) Global Oceans 2020: Singapore – U.S. Gulf Coast 4 cites

Attention is All you Need

Vaswani (2017) Neural Information Processing Systems 171,736 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an Contrastive Learning Conclusions

Analytical Techniques and Methods for Biomass

Vaz Jr (2016) 41 cites

Literature Survey

Sensitive Detection of Formalin Adulteration in Fish Using a Square-Core Photonic Crystal Fiber Sensor

Veluchamy (2025) Sensing and Imaging 0 cites

Literature Survey

Rapid evaporative ionization mass spectrometry for high-throughput screening in food analysis: The case of boar taint.

Verplanken (2017) Talanta: The International Journal of Pure and Applied Analy 78 cites

Introduction Literature Survey Oil Contamination an

Decision Analysis and Behavioral Research

Von Winterfeldt (1986) (No Title) 1,868 cites

Never Split the Difference: Negotiating as if Your Life Depended on It

Voss (2016) 35 cites

Rapid Evaporative Ionisation Mass Spectrometry can reliably age field caught malaria vectors (and has the potential to s

Literature Survey

Improving Rare-Class Recognition of Marine Plankton with Hard Negative Mining

Walker (2021) 2021 IEEE/CVF International Conference on Computer Vision Wo 11 cites

Differentiation of Fish Species Based on O-Acetylated N-Glycan Fragments Using LC-IM-MS to Combat Seafood Adulteration

Walsh (2025) Applied Food Research 0 cites

Literature Survey

Length Generalization of Causal Transformers without Position Encoding

Wang (2024) Annual Meeting of the Association for Computational Linguist 50 cites

Literature Survey Fish Species and Par

DNA barcoding Australia's fish species

Ward (2005) Philosophical Transactions of the Royal Society B: Biologica 4,164 cites

Literature Survey

Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach

Weiss (2022) International Workshop on Machine Learning for Signal Proces 5 cites

Neural Architecture Search: Insights from 1000 Papers

White (2023) arXiv.org 206 cites

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs

Wienholt (2024) arXiv.org 1 cites

Original Contribution: Stacked generalization

Wolpert (1992) Neural networks 6,303 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an

No free lunch theorems for optimization

Wolpert (2002) IEEE Transactions on Evolutionary Computation 13,766 cites

Fish Species and Par

In-domain Self-supervised Learning for Plankton Image Classification on a Budget

Wood 2025 IEEE/CVF Winter Conference on Applications of Computer 4 cites

Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach

Wood (2022) Applied Informatics 1 cites

Fish Species and Par Oil Contamination an

Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach

Wood (2022) Applied Informatics 1 cites

Hook, line, and spectra: machine learning for fish species identification and body part classification using rapid evapo

Wood (2025) Intelligent Marine Technology and Systems 0 cites

Something's Fishy: A Machine Learning Approach to Detecting Contamination with Rapid Evaporative Ionization Mass Spectro

Wood (2025) Intelligent Marine Technology and Systems

Sizing mudsnails: Applying superpixels to scale growth detection under ocean warming

Wood (2025) Methods in Ecology and Evolution 1 cites

Gone Phishing: Detecting Fish Fraud with Mixture of Experts Transformers

Wood (2025) Advanced Data Mining and Applications

A Fish Out of Data: Transformer with Transfer Learning for Identifying Fish Fraud

Wood (2025) Pacific Rim International Conference on Artificial Intellige

A Comprehensive Survey on Graph Neural Networks

Wu (2020) IEEE Transactions on Neural Networks and Learning Systems 10,790 cites

Contrastive Learning Conclusions

Unlocking the combined impact of microplastics and emerging contaminants on fish: A review and meta-analysis.

Wu (2025) Aquatic Toxicology 7 cites

Literature Survey

Multimodal blending for high-accuracy instance recognition

Xie (2013) 2013 IEEE/RSJ International Conference on Intelligent Robots 58 cites

Fuzzy methods for automated inspection of food products

Xing (2016) Annual Conference on the North American Fuzzy Information Pr 13 cites

DNA barcoding reveals substitution of Sablefish (Anoplopoma fimbria) with Patagonian and Antarctic Toothfish (Dissostich

Xiong (2016) Food Control 49 cites

Literature Survey

On Layer Normalization in the Transformer Architecture

Xiong (2020) International Conference on Machine Learning 1,347 cites

Fish Species and Par

A Survey on Evolutionary Computation Approaches to Feature Selection

Xue (2015) IEEE Transactions on Evolutionary Computation 1,504 cites

From Laboratory Exploration to Practice: Applications, Challenges, and Development Trends of Rapid Evaporative Ionizatio

Xue (2025) Comprehensive Reviews in Food Science and Food Safety 0 cites

Introduction Literature Survey Fish Species and Par Oil Contamination an Conclusions

Underwater Plankton Image Enhancement Method Based on Local Histogram Equalization

Yang (2024) 2024 IEEE 5th International Conference on Pattern Recognitio 2 cites

Polarity of Yelp Reviews: A BERT-LSTM Comparative Study

Yelp (2024) Big Data and Cognitive Computing 5 cites

A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification

Yuan (2021) Pacific Rim International Conference on Artificial Intellige 0 cites

PlanktonTNet: Rethinking Plankton Classification from a Global View with Swin-Transformer

Yuan (2025) OCEANS 2025 Brest 0 cites

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Zbontar (2021) International Conference on Machine Learning 2,889 cites

Contrastive Learning

Adaptative S3VM Semi Supervised Learning with Features Cooperation for Breast Cancer Classification

Zemmal (2016) Journal of Medical Imaging and Health Informatics 14 cites

Rapid Evaporative Ionisation Mass Spectrometry fingerprinting can discriminate lamb meat due to different ageing methods

Zhang (2023) Journal of Proteomics 12 cites

Datasets and Process

Adding Conditional Control to Text-to-Image Diffusion Models

Zhang (2023) IEEE International Conference on Computer Vision 6,537 cites

Rapid Evaporative Ionisation Mass Spectrometry fingerprinting can discriminate lamb meat due to different ageing methods

Zhang (2023) Journal of Proteomics 12 cites

Fish Biomass Estimation Under Occluded Features: A Framework Combining Imputation and Regression

Zhang (2024) Fishes 2 cites

Beyond mislabelling: Chinese fish balls authentication by metabarcoding allows unveiling hidden mammal and avian species

Zhang (2025) Food Control

Introduction Literature Survey

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Zhao (2019) International Conference on Data Science and Advanced Analyt 205 cites

Deep Multimodal Data Fusion

Zhao (2024) ACM Computing Surveys 308 cites

A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification

Zhu (2022) Computers & security 79 cites

Literature Survey

Neural Architecture Search with Reinforcement Learning

Zoph (2016) International Conference on Learning Representations 5,829 cites