Publications

Research publications from AIMS

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    Ternary mappings of some evolution algebras Cándido Martín González, Jacques Rabie, Juana Sánchez-Ortega 2026 The group scheme of ternary automorphisms of a perfect finite dimensional evolution algebra is computed. The main advantage of using group schemes is that it allows to apply the … DOI PDF
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    Simulation-based inference with diffusion models for spatial statistics Herman Tesso, Ayush Bharti, Elizaveta Semenova Workshop at the 7th Symposium on Advances in Approximate Bayesian Inference (2025) · 2025 Gaussian Process (GP) priors are widely used in spatial statistical models but suffer from cubic computational complexity in Markov Chain Monte Carlo (MCMC), limiting scalability. … PDF Code
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    Constructing Q-Ideals for Boolean Semiring Partitioning Using Seeds Claudia Ledbury Justus, Karin-Therese Howell, Cang Hui Mathematics 13:8 (2025), 1250 · 2025 Semiring partitioning is widely used in mathematics, computer science, and data analysis. The purpose of this paper is to add to the theory of semirings by proposing a novel method … DOI PDF
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    Artificial intelligence for modelling infectious disease epidemics Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Y. Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt Nature 638, 623-635 (2025) · 2025 Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already … DOI PDF
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    Primitive hyperideals and hyperstructure spaces of hyper rings Bijan Divvaz, Amartya Goswami, Karin-Therese Howell Categories and General Algebraic Structures with Applications 22:1 (2025), 157-173. · 2025 We introduce primitive hyperideals of a hyperring R and show how they are related to R itself, and to maximal and prime hyperideals of R. We endow a Jacobson topology on the set of … DOI PDF
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    Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning Lorène Jeantet, Kukhanya Zondo, Cyrielle Delvenne, Jordan Martin, Damien Chevallier, Emmanuel Dufourq Journal of Experimental Biology · 2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF Code
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    A benchmark for computational analysis of animal behavior, using animal-borne tags Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender Mouvement Ecology · 2024 Animal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. … DOI PDF
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    Correlating Variational Autoencoders Natively for Multi-View Imputation Ella S. C. Orme, Marina Evangelou, Ulrich Paquet UniReps: the Second Workshop on Unifying Representations in Neural Models (2025) · 2024 Multi-view data from the same source often exhibit correlation. This is mirrored in correlation between the latent spaces of separate variational autoencoders (VAEs) trained on … DOI PDF
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    Empirical evaluation of variational autoencoders and denoising diffusion models for data augmentation in bioacoustics classification Charles Herbst, Lorène Jeantet, Emmanuel Dufourq South African Computer Science and Information Systems Research Trends. SAICSIT 2024. Communications in Computer and Information Science · 2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF
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    Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning Stefan Schoombie, Lorène Jeantet, Marianna Chimienti, Grace J. Sutton, Pierre A. Pistorius, Emmanuel Dufourq, Andrew D. Lowther, Chris Oosthuizen Royal Society Open Science · 2024 Marine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management policies. However, … DOI PDF Code
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    An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar Carly H. Batist, Emmanuel Dufourq, Lorène Jeantet, Mendrika N. Razafindraibe, Francois Randriamanantena, Andrea L. Baden American Journal of Primatology · 2024 The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies such as passive … DOI PDF Code
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    Improving deep learning acoustic classifiers with contextual information for wildlife monitoring Lorène Jeantet, Emmanuel Dufourq Ecological Informatics · 2023 Bioacoustics, the exploration of animal vocalizations and natural soundscapes, has emerged as a valuable tool for studying species within their habitats, particularly those that … DOI PDF Code
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    Sample Paper 2 Title Jane Smith, John Doe, Alice Johnson Journal of Artificial Intelligence Research · 2023 Your paper abstract goes here. This can be multiple sentences long and will be displayed on the individual publication page. DOI PDF Code Project
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    Sample Paper 1 Title Jane Smith, John Doe, Alice Johnson Journal of Artificial Intelligence Research · 2023 Your paper abstract goes here. This can be multiple sentences long and will be displayed on the individual publication page. DOI PDF Code Project
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    Sample Paper 2 Title Jane Smith, John Doe, Alice Johnson Journal of Artificial Intelligence Research · 2022 Your paper abstract goes here. This can be multiple sentences long and will be displayed on the individual publication page. DOI PDF Code Project
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    Sample Paper 3 Title Jane Smith, John Doe, Alice Johnson Journal of Artificial Intelligence Research · 2022 Your paper abstract goes here. This can be multiple sentences long and will be displayed on the individual publication page. DOI PDF Code Project
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    Sample Paper 1 Title Jane Smith, John Doe, Alice Johnson Journal of Artificial Intelligence Research · 2022 Your paper abstract goes here. This can be multiple sentences long and will be displayed on the individual publication page. DOI PDF Code Project

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