A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Framework uncovers symmetric and asymmetric species associations from data.
Gaussian process framework learns interaction kernels in multi-species particle systems.
Machine learning improves predicting species interactions based on traits.
Heterogeneous GNN improves species distribution modeling.
Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only target a single species at a time, despite strong ecological evidence that species are not independently distributed. We propose Deep Multi-Speci…
Method learns cell interaction rules from individual trajectories.
GeoLifeCLEF 2020 dataset pairs species observations with environmental data.
New insights into optimal portfolios and ecological equilibria reveal surprising complexity.
SDSR reconstructs species trees from genetic markers efficiently.
SLIC-UAV monitors forest recovery using UAVs and machine learning.
Deep semi-supervised learning identifies tree species from natural images.
Forest tree species mapped with high accuracy using satellite data.
Image classification system identifies bumble bee species from images.
StatEcoNet models species distribution using neural networks to correct observation errors.
Phytoplankton plays an important role in marine ecosystem. It is defined as a biological factor to assess marine quality. The identification of phytoplankton species has a high potential for monitoring environmental, climate changes and for evaluating water quality. However, phytoplankton species identification is not …
The paper uses a graph autoencoder to learn unbiased plant-pollinator interaction embeddings.
Deep learning identifies frog species and detects new ones.
PHIBP models complex microbiome data with shared parameters.
Interpretable neural network for plant traits and species identification.
AMP0 predicts antimicrobial peptides targeting specific microbes.
Deep model tackles zero-inflated multi-species abundance estimation.
DeepMaxent uses neural networks to improve species distribution models.
We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phyloge…
Bayesian method improves estimation of unseen species.
The paper uses VGG-19 for plant species classification from leaf images.
Paper improves gas species identification in complex mixtures using neural networks.
As the technology is advancing, audio recognition in machine learning is improved as well. Research in audio recognition has traditionally focused on speech. Living creatures (especially the small ones) are part of the whole ecosystem, monitoring as well as maintaining them are important tasks. Species such as animals …
The answers to many unsolved problems lie in the intractable chemical space of molecules and materials. Machine learning techniques are rapidly growing in popularity as a way to compress and explore chemical space efficiently. One of the most important aspects of machine learning techniques is representation through th…
Robotic weed control has seen increased research of late with its potential for boosting productivity in agriculture. Majority of works focus on developing robotics for croplands, ignoring the weed management problems facing rangeland stock farmers. Perhaps the greatest obstacle to widespread uptake of robotic weed con…
Populations of species in ecosystems are often constrained by availability of resources within their environment. In effect this means that a growth of one population, needs to be balanced by comparable reduction in populations of others. In neutral models of biodiversity all populations are assumed to change increment…
In this paper, we propose an efficient Monte Carlo implementation of non-linear FBSDEs as a system of interacting particles inspired by the ideas of branching diffusion method. It will be particularly useful to investigate large and complex systems, and hence it is a good complement of our previous work presenting an a…
Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in behavioral science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here we introduce a m…
Avian Influenza breakouts cause millions of dollars in damage each year globally, especially in Asian countries such as China and South Korea. The impact magnitude of a breakout directly correlates to time required to fully understand the influenza virus, particularly the interspecies pathogenicity. The procedure requi…
Compact models for methane/air combustion reduce complexity without sacrificing accuracy.
Translating potential disease biomarkers between multi-species 'omics' experiments is a new direction in biomedical research. The existing methods are limited to simple experimental setups such as basic healthy-diseased comparisons. Most of these methods also require an a priori matching of the variables (e.g., genes o…
Magnitude-based features capture interactions between different entities in multispecies spatial data.
In general, object identification tends not to work well on ambiguous, amorphous objects such as vegetation. In this study, we developed a simple but effective approach to identify ambiguous objects and applied the method to several moss species. As a result, the model correctly classified test images with accuracy mor…
ConvNet classifies whale vocalizations and ambient noise in acoustic recordings.
LISBET automates social behavior analysis using machine learning.
Microbial clades modeling is a challenging problem in biology based on microarray genome sequences, especially in new species gene isolates discovery and category. Marker family genome sequences play important roles in describing specific microbial clades within species, a framework of support vector machine (SVM) base…
Deep learning improves tree species classification accuracy in imbalanced contexts.
The technique of Formal Concept Analysis is applied to a dataset describing the traits of rodents, with the goal of identifying zoonotic disease carriers,or those species carrying infections that can spillover to cause human disease. The concepts identified among these species together provide rules-of-thumb about the …
Estimating the number of unseen species is an important problem in many scientific endeavors. Its most popular formulation, introduced by Fisher, uses samples to predict the number of hitherto unseen species that would be observed if new samples were collected. Of considerable interest is the largest…
New model estimates species population trends from citizen science data.
We address the question of market efficiency using the Minority Game (MG) model. First we show that removing unrealistic features of the MG leads to models which reproduce a scaling behavior close to what is observed in real markets. In particular we find that i) fat tails and clustered volatility arise at the phase tr…
Study finds cryptocurrency market diversity patterns inconsistent with neutral models.
Cellular regulatory dynamics is driven by large and intricate networks of interactions at the molecular scale, whose sheer size obfuscates understanding. In light of limited experimental data, many parameters of such dynamics are unknown, and thus models built on the detailed, mechanistic viewpoint overfit and are not …
Biodiversity monitoring using audio recordings is achievable at a truly global scale via large-scale deployment of inexpensive, unattended recording stations or by large-scale crowdsourcing using recording and species recognition on mobile devices. The ability, however, to reliably identify vocalising animal species is…