Applications of machine learning in animal behaviour studies

Cited by (504)

Items 301–400 of 504

  1. Study of Evolution By Automating Hardy Weinberg Equilibrium With Machine Learning Techniques In TensorFlow And Keras
    Karthika Balan, Michael J. Santora, Mariam Faied, Víctor D. Carmona-Galindo · 2020 · Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)
  2. Establishing a High-Throughput Locomotion Tracking Method for Multiple Biological Assessments in Tetrahymena
    Michael Edbert Suryanto, Ross D. Vasquez, Marri Jmelou M. Roldan · 2022 · Cells
  3. Do the best of all together: Hierarchical spatial-frequency fusion transformers for animal re-identification
    Wenbo Zheng, Fei–Yue Wang · 2024 · Information Fusion
  4. IECA-YOLOv7: A Lightweight Model with Enhanced Attention and Loss for Aerial Wildlife Detection
    Wenyue Ke, Tengfei Liu, Xiaohui Cui · 2025 · Animals
  5. A machine learning approach to study plant functional trait divergence
    Sambadi Majumder, Chase M. Mason · 2024 · Applications in Plant Sciences
  6. Monitoring Multiple Behaviors in Beef Calves Raised in Cow–Calf Contact Systems Using a Machine Learning Approach
    Seongjin Kim, Xue-Cheng Jin, Rajaraman Bharanidharan, Na Yeon Kim · 2024 · Animals
  7. Efficient dual-stream neural networks: A modeling approach for inferring wild mammal behavior from video data
    Ao Xu, Zhenjie Hou, Jiuzhen Liang, Xing Li, Xinwen Zhou, Hongbo Geng · 2024 · Ecological Informatics
  8. Towards the next generation of species delimitation methods: an overview of machine learning applications
    Matheus Maciel Alcantara Salles, Fabrícius M. C. B. Domingos · 2025 · Molecular Phylogenetics and Evolution
  9. Smart Feeding Unit for Measuring the Pecking Force in Farmed Broilers
    Rogério Torres Seber, Daniella Jorge de Moura, Nilsa Duarte da Silva Lima · 2021 · Animals
  10. Machine learning is a powerful tool to study the effect of cancer on species and ecosystems
    Antoine Marie Dujon, Marion Vittecoq, Georgina Bramwell, Frédéric Thomas A, Beáta Újvári · 2021 · Methods in Ecology and Evolution
  11. After 150 years of watching: is there a need for synthetic ethology?
    Judit Abdai, Ádám Miklósi · 2022 · Animal Cognition
  12. Beyond the horizon: immersive developments for animal ecology research
    Ying Zhang, Karsten Klein, Falk Schreiber, Kamran Safi · 2023 · Visual Computing for Industry Biomedicine and Art
  13. An animal movement track segmentation framework for forecasting range adaptation under global change
    Wayne Marcus Getz · 2023 · Frontiers in Ecology and Evolution
  14. callsync: An R package for alignment and analysis of multi‐microphone animal recordings
    Simeon Q. Smeele, Stephen A. Tyndel, Barbara C. Klump · 2024 · Ecology and Evolution
  15. Did They Sense it Coming? A Pipelined Approach for Tsunami Prediction Based on Aquatic Behavior Using Ensemble Clustering and Fuzzy Rule-Based Classification
    Nikita Jain, Deepali Virmani, Ajith Abraham · 2020 · IEEE Access
  16. Behavioral correlates of urinary output in shelter cats
    Allison S. Andrukonis, Alexandra Protopopova, Yisha Xiang, Ying Liao, Nathaniel J. Hall · 2021 · Applied Animal Behaviour Science
  17. WITHDRAWN: Digital screen addiction with KNN and -Logistic regression classification
    G. Baby Saral, R. Priya · 2021 · Materials Today Proceedings · Retracted
  18. Acceleration Data Reveal Behavioural Responses to Hunting Risk in Scandinavian Brown Bears
    Jeanne Clermont, Andreas Zedrosser, Ludovick Brown, Frank Rosell, Gunn Elisabeth Sydtveit Rekvik, Jonas Kindberg, Fanie Pelletier · 2025 · Ecology and Evolution
  19. Predicting bird species detection in avian ecology using machine learning models, environmental factors, and tree characteristics
    F. A. Egwumah, U. E. Ekwugha, P.O. Egwumah · 2025 · Environmental and Ecological Statistics
  20. Wild jackdaws recognise the contact calls of their mate
    Victoria E. Lee, Guillam E. McIvor, Alex Thornton · 2025 · Animal Cognition
  21. Ultraviolet germicidal irradiation and ventilation for avian influenza control in poultry farms: A comprehensive review
    Sunday Segbenu Nunayon, Kathleen K. M. Glover, Mingyang Xu · 2026 · Journal of Hazardous Materials
  22. Perceived dominance status affects chemical signalling in the neriid fly Telostylinus angusticollis
    Zachariah Wylde, Lewis Adler, Angela J. Crean · 2019 · Animal Behaviour
  23. Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms
    Aleksandr N. Grekov, Elena V. Vyshkvarkova, Маврин Александр Сергеевич · 2024 · Forecasting
  24. Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker
    Zhuo Zhang, Xinyu Chai, Guoning Si · 2024 · Fishes
  25. Artificial Intelligence in the Current Era
    Sarthak Gupta, Paarth Vijarania, Swati Gupta, Meenu Vijarania · 2025 · Advances in environmental engineering and green technologies book series
  26. Predicting Social Rankings in Captive Chimpanzees ( Pan troglodytes ) Through Communicative Interactions‐Based Data‐Driven Model
    Brittany N. Florkiewicz, Teddy Lazebnik · 2025 · Integrative Zoology
  27. Neuroendocrine control of insect aggression: do environmental stressors modulate aggressive behavior?
    Marlène Goubault, Allan Roux, Mathieu Bussy · 2025 · Current Opinion in Insect Science
  28. Poultry welfare monitoring: group-level technologies
    Marian Stamp Dawkins, Elizabeth Rowe · 2020 · Burleigh Dodds series in agricultural science
  29. Combining disciplines: Dealing with observed and cryptic animal residencies in passive telemetry data by applying econometric decision-making models
    Stijn P. Bruneel, Pieterjan Verhelst, Jan Reubens · 2020 · Ecological Modelling
  30. Using Machine Learning to Identify Associations between the Environment, Occurrence, and Outcomes of Songbird Displacements at Supplemental Feeders
    Conner S. Philson, Tara A. Pelletier, Sarah L. Foltz · 2022 · Birds
  31. Machine Learning Models for Behavioural Diversity of Asian Elephants Prediction Using Satellite Collar Data
    Nurul Su'aidah Ahmad Radzali, Azuraliza Abu Bakar, Amri Izaffi Zamahsasri · 2023 · Journal of Information and Communication Technology
  32. Application of Project-Based Learning and Discovery Learning in Virtual Media on Analytical Thinking Skills for Animal Classification
    Tunjung Nala Puti, Puguh Karyanto, Umi Fatmawati · 2024 · Jurnal Penelitian Pendidikan IPA
  33. Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset
    Zeinab Asgari, Ali Sadeghi‐Sefidmazgi, A. Pakdel · 2025 · Animals
  34. Moving towards more holistic machine learning-based approaches for classification problems in animal studies
    Charlotte Christensen, André C. Ferreira, Wismer Cherono, Maria Maximiadi, Brendah Nyaguthii, Mina Ogino, Daniel Herrera C., Damien Roger Farine · 2025 · Animal Behaviour
  35. Visual Analytics for Cheetah Behaviour Analysis
    Karsten Klein, Sabrina Jaeger-Honz, Joerg Melzheimer · 2019 · International Symposium on Visual Information Communication and Interaction (VINCI)
  36. ENSINO JURÍDICO E AS NOVAS TECNOLOGIAS: O QUE ESPERA OS FUTUROS PROFISSIONAIS DO DIREITO?
    Mónica Mota Tassigny, Victor Sampaio Gondim · 2021 · Revista Eletrônica do Curso de Direito da UFSM
  37. Residual nets for understanding animal behavior
    Sarthak Yadav, Ankur Singh Bist · 2019 · Journal of Animal Behaviour and Biometeorology
  38. Virtual Expeditions Facilitated by Open Source Solutions Broaden Student Participation in Natural History Research
    Richelle L. Tanner, Talia Y. Moore · 2022 · Integrative and Comparative Biology
  39. Predicting long-term collective animal behavior with deep learning
    Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi, Guy Theraulaz A, Clément Sire, Francesco Mondada C · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  40. Exploring the potential of deep learning for classifying camera trap data: A case study from Nepal - working paper
    Tanuja Shrestha, Mir A Matin, Vishwas Sudhir Chitale, Samuel Thomas · 2023
  41. Grand challenges in foraging behavior and predator-prey interactions: next generation ethology in the Anthropocene
    Rulon W. Clark · 2023 · Frontiers in Ethology
  42. Achievement of Fish School Milling Motion Based on Distributed Multi-agent Reinforcement Learning
    Jincun Liu, Yinjie Ren, Yang Liu, Yan Meng, Dong An, Yaoguang Wei · 2025 · Journal of Bionic Engineering
  43. Applying interpretable machine learning to assess intraspecific trait divergence under landscape‐scale population differentiation
    Sambadi Majumder, Chase M. Mason · 2025 · Applications in Plant Sciences
  44. A data-driven approach to compare behavioral and physiological metrics of gilthead sea bream exposed to playback ship noise to a control group
    Roee Diamant, Eyal Cohen, Ilan Shachar, Dror Kipnis, Nikola Mišković, Ziv Zemah‐Shamir, Peleg Itay, Danny Morick · 2025 · Ecological Informatics
  45. Variability in the burst behaviour of the white shark (Carcharodon carcharias)
    Adrienne Gooden, Thomas M. Clarke, Lauren Meyer · 2025 · Wildlife Research
  46. Continuous welfare assessment of dairy cows at individual level: A farmer-oriented tool based on normal daily ranges of sensor-recorded traits
    Yaneth Gómez, N. Blasco-Andreo, Artemis Llabrés, Kevin Chow, Joan S. Serra-Sagrista, Greta Veronica Berteselli, Elisabetta Canali, Xavier Manteca, Pol Llonch · 2025 · Biosystems Engineering
  47. Machine Learning-Based Decision Trees to Predict Egg Production Performance in Laying Hens under Heat Stress Conditions
    AF Cordeiro, IA Nääs, RG Garcia · 2025 · Brazilian Journal of Poultry Science
  48. Effects of bias when using ‘black box’ models: re-evaluating the evidence for the use of name-like calls by elephants
    Guha Dharmarajan · 2026 · Animal Behaviour
  49. EVALUATION OF PREDICTIVE ABILITY OF TWO ARTIFICIAL NEURAL NETWORK ALGORITHMS AND MULTIPLE REGRESSION MODEL FOR MEAT QUALITY TRAITS AFFECTED BY PRE-SLAUGHTER FACTORS
    Gazel Ser, Cafer Tayyar Bati, Erol Arik · 2021 · The Journal of Animal and Plant Sciences
  50. Big data in Antarctic sciences – current status, gaps, and future perspectives
    Angelika Graiff, Matthias Braun, Amelie Driemel, Jörg Ebbing, Hans‐Peter Grossart, Tilmann Harder, Joseph Ivan Hoffman, Boris Peter Koch, Florian Leese, Judith Piontek et al. · 2023 · Polarforschung
  51. Precision Livestock Farming Systems Based on Accelerometer Technology and Machine Learning
    Duc-Nghia Tran, Phung Cοng Phi Khanh, Tran Binh Duong · 2023 · Internet of things
  52. A Machine Learning Approach to Simulation of Mallard Movements
    Daniel Einarson, Fredrik Frisk, Kamilla Klonowska · 2024 · Applied Sciences
  53. Developing an interpretable machine learning model for the detection of mimosa (Albizia julibrissin Durazz) grazing in goats
    S. Paez Lama, Carlos Adrian Catania, Luana Ribeiro · 2024 · Small Ruminant Research
  54. Passive acoustic monitoring of cave-dwelling bats with a sonotype classifier
    Morgane Labadie, Sergé Morand, Alexandre Caron, Helene Marie De Nys, Fabien Roch Niama, Franel Nguilili, N’Kaya Tobi, Mathieu Bourgarel, Charlotte Roemer · 2025 · Bioacoustics
  55. Real-time classification of Serengeti wildebeest behaviour with edge machine learning and a long-range IoT network
    Cyrus M. Kavwele, J. Grant C. Hopcraft, Juan M. Morales, Gerald Nyaffi, Nancy Kimuya, Colin J. Torney · 2025 · Canadian Journal of Zoology
  56. Spaceborne and UAV-LiDAR reveal hammer-headed bat preference for intermediate canopy height and diverse structure in a Central African rainforest
    Nicholas J. Russo, Jean Michel Takuo, Valorian Tegebong, Matthew LeBreton, Morgan Dean, António Ferraz, Nicolas Barbier, Martin C. Wikelski, Elsa M. Ordway, Sassan S Saatchi et al. · 2025 · Movement Ecology
  57. Using accelerometers for tracking loggerhead and green sea turtle behaviour
    Jessica Harvey‐Carroll, Dáire Carroll, José Luís Crespo-Picazo · 2025 · Animal Biotelemetry
  58. KLASIFIKASI JENIS BURUNG BERDASARKAN SUARA MENGGUNAKAN ALGORITME SUPPORT VECTOR MACHINE
    Annisa Miftahul Afida · 2020 · MATHunesa Jurnal Ilmiah Matematika
  59. Biometric Methods for Animal: Recent Trends and Future Challenges
    Santosh Kumar, Sanjay Kumar Singh, Rishav Singh · 2017 · Springer eBooks
  60. Predicting Theropod Hunting Tactics using Machine Learning
    Matthew Millar · 2019 · Open Science Journal
  61. Animal reidentification using restricted set classification
    Ludmila Ilieva Kuncheva · 2021 · Ecological Informatics
  62. Comparing methodologies for classification of zebra finch distance calls
    Prateek K. Sahu, Kimberley A. Campbell, Alexandra Oprea, Leslie S. Phillmore, Christopher B. Sturdy · 2022 · The Journal of the Acoustical Society of America
  63. Decision trees as a tool for selecting sows in commercial herds
    João Otávio Hilgemberg, Inês Andretta, Alexandre Bonadiman Mariani · 2023 · Scientia Agricola
  64. Establishing best practice for the classification of shark behaviour from bio-logging data
    Jenna L. Hounslow · 2018 · Murdoch University Research Portal
  65. Physicochemical Habitat Traits Preferred by Small Indigenous Fish (Chanda Nama ) in Indian River Discerning through Machine Learning
    Rohan Kumar Raman, Archan Kanti Das, Ranjan Kumar Manna, Sanjeev Kumar Sahu, Basanta Kumar Das · 2021 · Research Square
  66. Flying In-formation: A computational method for the classification of host seeking mosquito flight patterns using path segmentation and unsupervised machine learning
    Mark T Fowler, Anthony J. Abbott, Gregory P. D. Murray, Philip J. McCall · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  67. Prediction of annual coffee production yield using artificial neural network and multiple linear regression techniques
    Yotsaphat Kittichotsatsawat, Nakorn Tippayawong, Korrakot Yaibuathet Tippayawong · 2022 · Research Square
  68. Echoes of self: Understanding acoustic structure and informational content in common marmoset ( Callithrix jacchus ) phee sequences
    Kristin Meshinska, Judith Maria Burkart, Matthew B. V. Bell, Kaja Wierucka · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  69. Integrated deep learning and geo-referencing for drone-based animal tracking with flexible camera angles
    Imran Samad, Dipani Sutaria, Damien Roger Farine · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  70. Classifier architecture and data preprocessing jointly shape accelerometer-based behavioural inference
    Loïc Brun, Jonas Mateo Brady Rothrock, Erica van de Waal · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  71. Orb-web spiders as Bayesian learners
    Wes Maciejewski · 2019 · Die Naturwissenschaften
  72. Artificial intelligence-based analysis of behavior and brain images in cocaine-self-administered marmosets
    Wonmi Gu, Juhui Gim, Dohyun Lee, Heejong Eom, Jaejun Lee, Seong Shoon Yoon, Tae‐Young Heo, Jaesuk Yun · 2024 · Journal of Neuroscience Methods
  73. Evaluating indicators of wellbeing in captive grey mouse lemurs, Microcebus murinus, in the context of enrichment
    Juan Pablo Perea-Rodríguez, Julie Ferreira, Aude Anzeraey, Fabienne Aujard, Caroline Gilbert, Fabien Pifferi, Emmanuelle Pouydebat, Jérémy Terrien, Audrey Maille · 2024 · Animal Behaviour
  74. Modelling behavior of Crested gecko (Correlophus ciliatus) using classification algorithms
    Jakub Pacoń, Barbara Kosińska-Selbi, Jarosław Wełeszczuk, Joanna Kochan, Wojciech Kruszyński · 2024 · Applied Animal Behaviour Science
  75. High sea turtle density in a Mediterranean foraging ground revealed by UAV surveys and machine learning
    Chiara Agabiti, Giulia Baldi, Gaia Moscoloni, Gaia Anna Ariele Pandocchi, Enrique González-Bernardo, Paolo Casale · 2025 · Endangered Species Research
  76. Using accelerometer‐based behavioural classification to enhance scavenger conservation
    Gideon Vaadia, Marta Acácio, Tal Agassi, Nili Anglister, Yigal Miller, Ohad Hatzofe, Patricia Mateo‐Tomás, Jorge Rodríguez‐Pérez, María Fernández‐García, Pedro P. Olea et al. · 2025 · Journal of Applied Ecology
  77. Behaviour identification and time–activity budget estimation of threatened little bustard using accelerometry
    Natalia Revilla‐Martín, João Paulo Silva, François Mougeot et al. · 2025 · Animal Behaviour
  78. Using Artificial Intelligence Systems in Modern Neurobehavioral Research
    Kirill V. Apukhtin, Anastasia E Zolotova, A. O. Leunenko, Valentina Nikolaevna Perfilova, Allan V. Kalueff · 2025 · Journal of Evolutionary Biochemistry and Physiology
  79. Comparative Analysis of Machine-Learning and Deep-Learning Approaches for Accurate Animal Disease Prediction and Health Risk Assessment
    Bhagyashree Panigrahy, Akhil Subudhi, Tanushree Harichandan · 2026 · International Electronic Conference on Applied Sciences (ASEC)
  80. Classifying behaviors from animal-borne cameras using machine learning: automated identification of breathing events in sea turtles
    Nathan J. Robinson, Priyam Mazumdar, Brian F. Allan, Jacopo Aguzzi, Brian Chen, Bing-Yuan Hsieh, Lola Millet, Jesús Tomás, Jeffrey Terstriep, Aiman Soliman · 2026 · Journal of Experimental Biology
  81. Semantic web service-based messaging framework for prediction of fitness data using Hadoop distributed file system
    R. Sethuraman, T. Sasiprabha · 2019 · Automatika
  82. Hospital Acquired Infections, Multidrug Resistant (MDR) Bacteria, Alternative Approaches to Antibiotic Therapy
    Pavel Boštík, Milan Kolář · 2022 · MDPI eBooks
  83. Decision tree analysis to evaluate risks associated with lameness on dairy farms with automated milking systems
    Lindsey Davis, Kalyanmoy Deb, Janice M. Siegford · 2022 · Frontiers in Animal Science
  84. Developmental Patterns and Gender Differences of Vocal Production in Marmoset Monkeys
    Ruixin An, Chaocheng Lu, Chen Wang · 2023 · Neuroscience Bulletin
  85. Mating Behaviour
    Rebecca A. Boulton, Ian C.W. Hardy, Michael T. Siva‐Jothy · 2023 · Springer eBooks
  86. Applications of Machine Learning in Textile Industry
    Nemailal Tarafder · 2024 · Journal of IoT and Machine Learning.
  87. Circadian activity predicts breeding phenology in the Asian burying beetle Nicrophorus nepalensis
    Hao Chen, Dustin R. Rubenstein, Guan-Shuo Mai · 2025 · Royal Society Open Science
  88. Acoustic communication and environmental factors drive coordinated digging behaviour during an early life stage transition of a freshwater turtle
    Claudia Lacroix, Christina M. Davy, Njal Rollinson · 2025 · Animal Behaviour
  89. Bio-logging and navigation of marine animals
    Ken Yoda · 2018 · Japanese Journal of Animal Psychology
  90. Video-based decision support for behavioral veterinarians
    Asaf Fux · 2019 · ACM/SIGAPP Symposium on Applied Computing (SAC)
  91. Augmented patient‐specific functional medical imaging by implicit manifold learning
    Robert Rapadamnaba, Franck Nicoud, Bijan Mohammadi · 2020 · International Journal for Numerical Methods in Biomedical Engineering
  92. Evaluation of caridean ecological distribution in the Ubatuba region, southeastern Brazilian coast using unsupervised machine learning technique
    Alexandre de Oliveira Marques, Aline Nonato de Sousa, Verônica Pereira Bernardes · 2021 · Marine Ecology
  93. Artificial intelligence methods to repurpose and discover new drugs to fight the Coronavirus disease-2019 pandemic
    Marcos V. Santana, Floriano Paes Silva · 2022 · Elsevier eBooks
  94. A REVIEW ON ROLE OF AI IN DAMAGE ASSESSMENT INLAMINATED COMPOSITE STRUCTURES
    Abhendra Pratap Singh, Md Ehsan Asgar, Rajeev Ranjan, Yatharth Kaushik, Justin k Reji, Tarun Tyagi, HMRITM · 2023 · International Journal of Engineering Applied Sciences and Technology
  95. An innovating Statistical Learning Tool based on Partial Differential Equations, intending livestock Data Assimilation
    Hélène Flourent, Emmanuel Frénod, Vincent Sincholle · 2019 · arXiv (Cornell University)
  96. Genotype by temperature interaction effects on sex determination in zebrafish (Danio rerio)
    Shahrbanou Hosseini · 2019
  97. Rapid Prototyping of Species Classifiers using Deep Learning: A Guide for Non-Experts
    Herman Njoroge Chege · 2020
  98. Pairwise Control In Unmanned Aerial Vehicle Swarm Flocking
    Jintao Liu, Ming He, Ling Luo · 2021 · Research Square
  99. Alpine ungulate movement: Quantification of spatiotemporal environmental energetics and social interaction
    James Redcliffe · 2021 · Cronfa (Swansea University)
  100. Socio-endocrinology revisited: New tools to tackle old questions
    Charlotte Christensen · 2022 · Cronfa (Swansea University)