Bat detective—Deep learning tools for bat acoustic signal detection

Mac Aodha, Oisin, Gibb, Rory, Barlow, Kate E., Browning, Ella, Firman, Michael, Freeman, Robin, Harder, Briana, Kinsey, Libby +11 more·2018·PLOS Computational Biology
DOI 10.1371/journal.pcbi.1005995

Cited by (218)

Items 101–200 of 218

  1. Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data
    Taslim Mahbub, Azadan Bhagwagar, Priyanka Chand, Imran Ahmed Zualkernan, Jacky Judas, Dana Dghaym · 2024 · Sensors
  2. Multi-level LSTM framework with hybrid sonic features for human–animal conflict evasion
    R. Varun Prakash, V. Karthikeyan, S. Vishali, M. Karthika · 2024 · The Visual Computer
  3. Forest cover enhances pest control by birds and bats independently of vineyard management intensity
    Dávid Korányi, Sándor Zsebők, Andràs Báldí, Mattia Brambilla, Máté Varga, Péter Batáry · 2025 · Journal of Applied Ecology
  4. NEAL: an open-source tool for audio annotation
    Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew C. Parnell · 2023 · PeerJ
  5. Automated detection of Bornean white-bearded gibbon ( Hylobates albibarbis ) vocalizations using an open-source framework for deep learning
    A. F. Owens, Kimberley Jane Hockings, Muhammad Ali Imron, Shyam Madhusudhana, Mariaty Mariaty, Tatang Mitra Setia, Manmohan D. Sharma, Siti Maimunah, F. J. Frank van Veen, Wendy M. Erb · 2024 · The Journal of the Acoustical Society of America
  6. Comparing context-dependent call sequences employing machine learning methods: an indication of syntactic structure of greater horseshoe bats
    Kangkang Zhang, Tong Liu, Muxun Liu, Aoqiang Li, Yanhong Xiao, Walter Metzner, Ying Liu · 2019 · Journal of Experimental Biology
  7. An active learning framework and assessment of inter-annotator agreement facilitate automated recogniser development for vocalisations of a rare species, the southern black-throated finch (Poephila cincta cincta)
    John M. van Osta, Brad Dreis, Edward A. Meyer, Laura F. Grogan, James Guy Castley · 2023 · Ecological Informatics
  8. Automatic noise reduction of extremely sparse vocalisations for bioacoustic monitoring
    Ben McEwen, Kaspar Soltero, Stefanie Gutschmidt, Andrew Bainbridge-Smith, James Atlas, Richard R. Green · 2023 · Ecological Informatics
  9. Multi-Class Object Detection from Aerial Images Using Mask R-CNN
    David Schweitzer, Rajeev K. Agrawal · 2018 · IEEE International Conference on Big Data (BigData)
  10. Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics
    Martínez Balvanera, Santiago, Mac Aodha, Oisin, Weldy, Matthew J., Pringle, Holly, Browning, Ella, Jones, Kate E. · 2025 · Methods in Ecology and Evolution
  11. Aras Kuş Türlerinin Ses Özellikleri Bakımından Derin Öğrenme Yöntemleriyle Tanınması
    Seda BAYAT, Gültekin Işık · 2022 · Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
  12. Staying for food by urban birds: Insights from neural network analysis into adaptive strategies
    Yuran Liu, Yuqiu Wei, Qiqi Liu, Wei Liang · 2025 · Environmental Management
  13. Silbido profundo: An open source package for the use of deep learning to detect odontocete whistles
    Peter C. Conant, Pu Li, Xiaobai Liu, Holger Klinck, Erica Fleishman, Douglas M. Gillespie, Eva‐Marie Nosal, Marie A. Roch · 2022 · The Journal of the Acoustical Society of America
  14. Towards Automated Detection and Localization of Red Deer Cervus elaphus Using Passive Acoustic Sensors during the Rut
    Egils Avots, Alekss Vecvanags, Jevgēņijs Fiļipovs, Agris Brauns, Gundars Skudriņš, Gundega Done, Jānis Ozoliņš, Gholamreza Anbarjafari, Dainis Jakovels · 2022 · Remote Sensing
  15. An Efficient Neural Network Design Incorporating Autoencoders for the Classification of Bat Echolocation Sounds
    SERCAN ALIPEK, Moritz Mälzer, Yannick Paumen, Horst Schauer-Weisshahn, Jochen Moll · 2023 · Animals
  16. Comparison of visual and passive acoustic estimates of beaked whale density off El Hierro, Canary Islands
    Patricia Arranz, D. Miranda, Kalliopi C. Gkikopoulou, A. Cardona, J. Alcázar, Natacha Aguilar de Soto, Len Thomas, Tiago André Marques · 2023 · The Journal of the Acoustical Society of America
  17. Bat Echolocation Call Detection and Species Recognition by Transformers with Self-attention
    Hicham Bellafkir, Markus Vogelbacher, Jannis Gottwald, Markus Mühling, Nikolaus Korfhage, Patrick Lampe, Nicolas Frieß, Thomas Nauß, Bernd Freisleben · 2022 · Communications in computer and information science
  18. ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation
    Christoph Hauer, Elmar Nöth, Alexander Barnhill, Andreas Maier, Julius Guthunz, Heribert Hofer, Rachael Xi Cheng, Volker Barth, Christian Bergler · 2023 · Scientific Reports
  19. Evaluation of Deep Learning-Based Monitoring of Frog Reproductive Phenology
    Kaede Kimura, Teiji Sota · 2023 · Ichthyology & Herpetology
  20. Evaluating the method reproducibility of deep learning models in biodiversity research
    Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König‐Ries, Jitendra Gaikwad, Luiz M. R. Gadelha Jr., Sheeba Samuel · 2025 · PeerJ Computer Science
  21. Deep Learning for Wildlife Monitoring: Near-Infrared Bat Detection Using YOLO Frameworks
    José‐Joel González‐Barbosa, Israel Cruz Rangel, Alfonso Ramírez-Pedraza, Raymundo Ramírez-Pedraza, Isabel Bárcenas-Reyes, Erick-Alejandro González-Barbosa, Miguel Razo · 2025 · Signals
  22. Acoustic detection of a nocturnal bird with deep learning: the challenge of low signal-to-noise ratio
    Félix Michaud, Jérôme Sueur, Frédéric Sèbe, Maxime Le Cesne, Sylvain Haupert · 2025 · Ecological Indicators
  23. Kombucha–Chlorella–Proteinoid Biosynthetic Classifiers of Audio Signals
    Panagiotis Mougkogiannis, Anna E. Nikolaidou, Andrew Adamatzky · 2024 · Nano Select
  24. Identification of Aras Birds with Convolutional Neural Networks
    Seda BAYAT, Gültekin Işık · 2020 · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
  25. Separating overlapping bat calls with a bi‐directional long short‐term memory network
    Kangkang Zhang, Tong Liu, Shengjing Song, Xin Tong Zhao, Shijun Sun, Walter Metzner, Jiang Feng, Ying Liu · 2021 · Integrative Zoology
  26. Detection and Multi-label Classification of Bats
    Lucile Dierckx, Mélanie Beauvois, Siegfried Nijssen · 2022 · Lecture notes in computer science
  27. Building an Energy-Efficient Ad-Hoc Network for Wildlife Observation
    Luis Camal, Barış Akşanlı · 2020 · Electronics
  28. A new method for faster and more accurate inference of species associations from novel community data
    M Pichler, Florian Hartig · 2020 · arXiv (Cornell University)
  29. Statistical assessment on determining local presence of rare bat species
    Kathryn M. Irvine, Katharine M. Banner, Christian Stratton, William Mark Ford, Brian E. Reichert · 2022 · Ecosphere
  30. Acoustic Surveillance Intrusion Detection with Linear Predictive Coding and Random Forest
    Marina Yusoff, Amirul Sadikin Md. Afendi · 2018 · Communications in computer and information science
  31. Biodiversity monitoring with intelligent sensors: An integrated pipeline for mitigating animal-vehicle collisions
    Sylvain Moulhérat, Léa Pautrel, Guillaume Débat, Marie‐Pierre Étienne, Lucie Gendron, Nicolas Hautière, Jean‐Philippe Tarel, Guillaume Testud, Olivier Giménez · 2024 · Nature Conservation
  32. Sound Spectrum Detection Using Deep Learning
    Merve Özdeş, Batuhan Mert Severoglu · 2019 · Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)
  33. Ecology Meets Computer Science
    Kellie Vella, Jessica L. Oliver, Tshering Dema, Margot F. Brereton, Paul Roe · 2020 · CHI Conference on Human Factors in Computing Systems
  34. Generative Ai-Based Data Augmentation for Improved Bioacoustic Classification in Noisy Environments
    Anthony Gibbons, Emma King, Ian Donohue, Andrew C. Parnell · 2025 · SSRN Electronic Journal
  35. Generative AI-based data augmentation for improved bioacoustic classification in noisy environments
    Gibbons, Anthony, King, Emma, Donohue, Ian, Parnell, Andrew · 2024 · arXiv
  36. Echolocation of bats (Chiroptera Blumenbach, 1779) as an element of their ecological plasticity
    Egor M. Shchelkanov, Stanislav Ukolov, M. N. Dunaeva, Tatyana Vladimirovna Moskvina, Igor A. Popov, Yu. A. Belov, Nadezhda N. Kakareka, A. V. Ganzevich, В. Ф. Толкач, Yu. G. Volkov et al. · 2021 · South of Russia ecology development
  37. Deep Learning for Recognizing Bat Species and Bat Behavior in Audio Recordings
    Markus Vogelbacher, Hicham Bellafkir, Jannis Gottwald, Daniel M. Schneider, Markus Muhling, Bernd Freisleben · 2023 · IEEE Swiss Conference on Data Science (SDS)
  38. Detection and classification of captive coppery titi monkey calls
    Jen Muir, Aditya Ravuri, Eric Meissner, Joseph E. Hawes, Emmanuel Dufourq, Thomas O'mahoney, Jacob Charles Dunn · 2025 · Bioacoustics
  39. Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem
    Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi et al. · 2025 · Ecology and Evolution
  40. First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network
    Andrew Gascoyne, Wendy Lomas · 2025 · Ecological Informatics
  41. Urban Sound Classification Using Adaboost
    Anam Bansal, Naresh Kumar Garg · 2022 · Lecture notes in networks and systems
  42. Spillover: the role of bats and relationships as reservoirs of zoonotic viruses and the origin of new coronaviruses
    Diniz Pereira Leite Júnior, Rodrigo Antônio Araújo Pires, Elisangela Santana de Oliveira Dantas, Ronaldo Sousa Pereira, Mário Mendes Bonci, Regina Teixeira Barbieri Ramos, Gisela Lara da Costa, Márcia de Souza Carvalho Melhem, Paulo Anselmo Nunes Felippe, Claudete Rodrigues Paula · 2020 · Forensic Research & Criminology International Journal
  43. Describing the sounds of nature: Using onomatopoeia to classify bird calls for citizen science
    Kellie Vella, Daniel M. Johnson, Paul Roe · 2021 · PLoS ONE
  44. Variation in foraging activity influences area-restricted search behaviour by bottlenose dolphins
    Oihane Fernandez-Betelu, Virginia Iorio-Merlo, Isla M. Graham, Barbara J. Cheney, Simone M. Prentice, Rachael Xi Cheng, Paul M. Thompson · 2023 · Royal Society Open Science
  45. Wingbeat Over Wind Turbines: Autonomous Drones for Acoustic Bat Detection in Operational Wind Farms
    Tessa T. Taefi, Marc Huamán Roswag, Gerald Peklar · 2024 · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
  46. Deep learning for supervised classification of temporal data in ecology
    César Capinha, Ana Ceia‐Hasse, Andrew M. Kramer, Christiaan Meijer · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  47. Understanding life and evolution using AI
    Tabinda Wani, Nelofar Banday · 2024 · Elsevier eBooks
  48. Acoustic detection and occupancy models: A systematic review with insights for future monitoring programs
    Frederico Carvalho Martins, Pedro Segurado, João Tiago Marques · 2025 · Ecological Indicators
  49. BSG‐BATS: An open‐source data annotation portal and classifier for European bat vocalizations
    Katarina Meramo, Panu Juhani Somervuo, Meeri Rannisto, Patrik Lauha, Adrià López‐Baucells, Fabrizio Gili, Tomas V. Roslin, Thomas M. Lilley, Otso Ovaskainen · 2025 · Methods in Ecology and Evolution
  50. Noise-Resilient Bioacoustics Feature Extraction Methods and Their Implications on Audio Classification Performance: Systematic Review
    Geofrey Owino, Bernard Shibwabo Kasamani · 2025 · JMIR Biomedical Engineering
  51. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels
    André Moreira Souza, Lori Kobayashi, Lucas Tassoni Andrietta, César Augusto Pospissil Garbossa, Ricardo Vieira Ventura, Elaine Parros Machado de Sousa · 2025 · Applied Intelligence
  52. COSMOS: Computational Shaping and Modeling of Musical Structures
    Elaine Chew · 2022 · Frontiers in Psychology
  53. Mitigating the deceptive effects of smooth surfaces: subtle surface modifications can eliminate maladaptive drinking attempts by bats
    Nor Amira Abdul Rahman, Gergely Firtha, Kriszta Lilla Szabadi, Gareth Jones, Sándor Zsebők · 2024 · Animal Conservation
  54. On exploiting acoustic sensing and citizen science in a game for biodiversity monitoring and awareness
    Pedro Loureiro, Catia Prandi, Valentina Nisi, Nuno Nunes · 2019 · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
  55. Advancing bat monitoring: Assessing the impact of unmanned aerial systems on bat activity
    Marc Huamán Roswag, Matthias Sebastian Roswag, Matthias Sebastian Roswag, Joanna Fietz, Tessa T. Taefi · 2025 · PLoS ONE
  56. A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions
    Ryotaro Okamoto, Hiroyuki Oguma · 2025 · Ecological Informatics
  57. Standardisation in bat acoustic research: a review of reporting practices in Australia
    Kelly Sheldrick, David A. Hill, Patricia A. Fleming, Rochelle Steven · 2025 · Wildlife Research
  58. Passive acoustic monitoring reveals the diurnal calling activity and habitat selection of white-headed langurs
    Ying-hong Xie, Zi-wen Hong, Liu Yin-shu, Qi-hai Zhou, Zhong Cao, Penglai Fan · 2026 · Ecological Informatics
  59. Behavior Classification of Egyptian Fruit Bat (Rousettus aegyptiacus) From Calls With Deep Learning
    Batuhan Yılmaz, Melih Sen, Engin Maşazade, Vedat Beşkardeş · 2022 · Advances in computational intelligence and robotics book series
  60. Comparative Analysis of Neural Networks and Deep Learning using Wireless Communication
    Ganesh Kumar Dixit, Viswanathasarma Ch, Valentino Joebert Barbosa, Syed Hamim Jeelani, Lalit Johari, Surendra Kumar Shukla · 2022 · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
  61. Ultrasonic Signal Time-Expansion Using DAC Frequency Modulation
    Massimiliano Rossi, Marco Frasca · 2023 · Vibration
  62. A Novel Approach to Bat Protection IoT-Based Ultrasound System of Smart Farming
    Hafizur Rahman, S. M. Noman, Imrus Salehin, Tajim Md. Niamat Ullah Akhund · 2023 · Lecture notes on data engineering and communications technologies
  63. Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species
    Mohammad Fraiwan, Rami Mukbel, Dania Kanaan · 2025 · PLoS ONE
  64. RAP: A Software Framework of Developing Convolutional Neural Networks for Resource-constrained Devices Using Environmental Monitoring as a Case Study
    Chia-Heng Tu, Qihui Sun, Hsiao-Hsuan Chang · 2021 · ACM Transactions on Cyber-Physical Systems
  65. CAPTURING THE SOUNDS OF AN URBAN GREENSPACE
    Ewan Klein, S. Chapple, Joachim Fainberg, Cat Magill, Martin Parker, Charles D. Raab, JONATHAN W. SILVERTOWN · 2018 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  66. Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks
    David Schweitzer, Rajeev K. Agrawal · 2018 · IEEE International Conference on Big Data (BigData)
  67. Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification
    Adrian T. Ruiz, Juliàn A. Equihua, Santiago Martínez Balvanera, Everardo Robredo, Günther Palm, Friedhelm Schwenker · 2019 · Lecture notes in computer science
  68. State of the Art in Computational Bioacoustics and Machine Learning: How far have we come?
    Dan Stowell · 2019 · Biodiversity Information Science and Standards
  69. Parameter estimation of the hyperbolic frequency-modulated bat calls using hyperbolic scale transform
    Liang Zhang, Qinglei Du · 2024 · The Journal of the Acoustical Society of America
  70. Bacpipe: A Python package to make bioacoustic deep learning models accessible
    Vincent S. Kather, Sylvain Haupert, Burooj Ghani, Dan Stowell · 2026 · Methods in Ecology and Evolution
  71. Artificial Intelligence Assisted Teaching and Learning and Research of Environmental Sciences
    Tahmeena Khan, Priya Mishra, Kulsum Hashmi, Saman Raza, Manisha Singh, Seema Joshi, Abdul Rahman Khan · 2024 · BENTHAM SCIENCE PUBLISHERS eBooks
  72. Seasonal shifts in body mass shape echolocation traits in Eptesicus fuscus from central Mexico
    Erick David Acosta-Luzuriaga, Jorge Ayala‐Berdón · 2026 · Mammal Research
  73. Bats in livestock farms—effects of farm characteristics and landscape composition on bat activity
    Kriszta Lilla Szabadi, Anikó Kurali, Péter Estók, Tamás Görföl, Jérémy S. P. Froidevaux, Sándor Zsebők · 2025 · Landscape Ecology
  74. State-of-mind detection in elephants using ML-LSTM and Q-learning for conflict prevention
    V. Karthikeyan, R. Varun Prakash · 2025 · Progress in Artificial Intelligence
  75. Bioacoustic Sound Classification Based on Noise and Vocalizations Using Convolutional Neural Networks: A Comprehensive Systematic Review
    Mirza Farhan Azhari, Gibran Maulana Syah, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib · 2025 · Turkish Journal of Mathematics and Computer Science
  76. Population‐Level Acoustic Classification of Salish Sea Killer Whales: Integrating Biologically Informed Call Type Balancing to Build Robust Models for Conservation Monitoring
    Kaitlin J. Palmer, April Houweling, Lauren Laturnus, James F. Pilkington, Amalis Riera, Jennifer L. Wladichuk, Ruth Joy · 2026 · Marine Mammal Science
  77. Acoustic Differentiation of Horseshoe Bats in Luzon Island, Philippines: Developing a Call Identification Key and Uncovering Potential Cryptic Species
    Renz Angelo Duco, Alyssa M. Fontanilla, Mariano Roy M. Duya · 2026 · Acta Chiropterologica
  78. Contrastive learning for passive acoustic monitoring: A framework for sound source discovery and cross-site comparison in marine soundscapes
    Richard Acs, Ali Ibrahim, Hanqi Zhuang, Laurent Marcel Chérubin · 2026 · PLoS Computational Biology
  79. Leveraging artificial intelligence in bioacoustics for animal health monitoring and early diagnosis in veterinary medicine
    Hannah Rideout, Anthony David Whetton · 2026 · Frontiers in Veterinary Science
  80. A few-shot learning method for underwater acoustic target recognition based on generative data augmentation
    Wei Huang, Qirui Zhang, Bowen Zhao, Tianhe Xu, Hao Zhang · 2026 · The Journal of the Acoustical Society of America
  81. Artificial intelligence and decision support in applied ecology
    Elmontaserbellah Ammar, Aashna Sharma, Tom August, Jake Emmerson Bicknell, Katherine L. Boughey, Carolyn E. Dunford, Don A. Driscoll, Sicily Fiennes, Javier Lopatin, Melanie Hartley et al. · 2026 · Journal of Applied Ecology
  82. Bats in the Urban Desert: Acoustic Diversity and Community Composition Along an Urban–Rural Gradient in Tacna, Peru
    Oscar Mauricio Salas Salinas, Francisco Lorenzho Quispe Huacca, Jessica Lizzeth Curo Mamani, María Soto Rojas, Alexander Addi Torres Auccapuri, Estéfany Milagros Choque Conodori, Mayrin Rosa Hañari Nina, Arlette Milagros Estrada Lupaca, Franco Enrique Linghán Marca, Lizeth A. M. Ari-Gutierrez et al. · 2026 · Urban Science
  83. Diversity and plasticity of vocalisations in an elusive and arboreal small mammal: the edible dormouse ( Glis glis )
    Carme Bartrina, César Llanos-Guerrero, Núria Valls, Lídia Freixas, Adrià López‐Baucells · 2024 · Bioacoustics
  84. MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float
    Sébastien Bonnieux, Dorian Cazau, Sébastien Mosser, Mireille Blay–Fornarino, Y. Hello, Guust Nolet · 2020 · Sensors
  85. A Global Survey on Acoustic Bat Lures Highlights Ethical Concerns and the Need for Standardised Methods
    Oliver E. Aylen, Phillip J. Bishop · 2023 · Acta Chiropterologica
  86. MONITORING MAMMAL COMMUNITY SHIFTS ACROSS SILVICULTURAL TREATMENTS UTILIZING CAMERA TRAPS AND THE DEVELOPMENT OF INVERTEBRATE- DERIVED DNA IN HARDWOOD FORESTS OF NORTH AMERICA
    Shallen Gurtler · 2020
  87. soundClass: Sound Classification Using Convolutional Neural Networks
    Bruno Silva [aut, cre] · 2022
  88. The Evolutionary Structure of Acoustic Learnability: A Deep Learning Approach to Neotropical Birdsong
    Camilo Andrés Cortés-Parra, Hector Javier Hortua, Juan Camilo Ríos‐Orjuela · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  89. Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
    Zsebők, Sándor · 2026 · Biologia Futura
  90. Investigating Asian Parti-colored bats using the BatTalk internet of things approach
    Yun‐Wei Lin, Tai-Hsiang Yen, Cheng‐Han Chou, Yi-Bing Lin, Wen-Shu Lai · 2020 · Journal of Network and Computer Applications
  91. Első budapesti közösségi denevérfelmérés : Módszertani tapasztalatok és eredmények
    Dorottya Győrössy, Kriszta Lilla Szabadi, Péter Gábor Sulyán, Zalán Halmai, Tamás Görföl, Sándor Zsebők · 2020 · Természetvédelmi Közlemények
  92. Global Trends of Emerging Infectious Diseases and the Impacts on Biodiversity: Spillover, Diversity and the Role of Bats in Evolutionary Relationships as Zoonotic Virus Reservoirs
    Diniz Pereira Leite Júnior, Elisangela Santana de Oliveira Dantas, Gisela Lara da Costa, Ronaldo Sousa Pereira, Mário Mendes Bonci, Regina Teixeira Barbieri Ramos, Rodrigo Antônio Araújo Pires, Márcia de Souza Carvalho Melhem, Paulo Anselmo Nunes Felippe, Claudete Rodrigues Paula · 2021 · South Asian Journal of Research in Microbiology
  93. Peer Review #2 of "Computational bioacoustics with deep learning: a review and roadmap (v0.1)"
    2022 · PeerJ
  94. Peer Review #1 of "Computational bioacoustics with deep learning: a review and roadmap (v0.1)"
    2022 · PeerJ
  95. Distribution, number, biology and ecology of vulnerable species of chiropterans (Chiroptera, Vespertilionidae), inhabiting the Tver region: brown long-eared bat (Plecotus auritus linnaeus, 1758)
    Алла Александровна Емельянова, Екатерина Андреевна Христенко, Алёна Сергеевна Волкова, Андрей Михайлович Кулагин, Елизавета Артуровна Виноградова, Валерия Андреевна Максимова · 2022 · Herald of Tver State University Series Biology and Ecology
  96. Local bats diversity exceeded the regional bats diversity in Xinjiang, China
    Pei‐Pei Dong, Wen-Jia Gao, Ruirui Wang, Shamshidin Abduriyim · 2023
  97. tcerovse
    Rebecca Smith · 2021 · ACADIA quarterly
  98. Suivis acoustiques de biodiversité : perspectives et défis en milieu continental terrestre
    H. Le Borgne, Christophe Bouget · 2023 · Naturae
  99. BatNoiseDL: Discrimination of Bat Signals Through an Ensemble of Deep Learning Models
    Francisco Javier Martínez-de-Pisón, Jose Divasón, Félix González · 2024 · Lecture notes in computer science
  100. Convolutional Network Optimization for Call Identification of African Bird Species Using Modified Metaheuristics
    Snezana Malisic, Mihajlo Protic, Vladimir Markovic, Smiljana Tedic, Luka Jovanović, Nebojša Bačanin, Miodrag Z. Zivkovic · 2025 · Algorithms for intelligent systems