Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks

Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

(2020) Benjamin Bourel et al.   COMPUTERS & GEOSCIENCES

Petrographic microfacies classification with deep convolutional neural networks

(2020) Rafael Pires de Lima et al.   COMPUTERS & GEOSCIENCES

Migration controls extinction and survival patterns of foraminifers during the Permian-Triassic crisis in South China

(2020) Xiaokang Liu et al.   EARTH-SCIENCE REVIEWS

CONVOLUTIONAL NEURAL NETWORKS AS AN AID TO BIOSTRATIGRAPHY AND MICROPALEONTOLOGY: A TEST ON LATE PALEOZOIC MICROFOSSILS

(2020) RAFAEL PIRES DE LIMA et al.   PALAIOS

Lacustrine stromatolites: Useful structures for environmental interpretation - an example from the Miocene Ebro Basin

(2019) Leticia Martin-Bello et al.   SEDIMENTOLOGY

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks

(2019) Miroslav Valan et al.   SYSTEMATIC BIOLOGY

Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance

(2019) R. Mitra et al.   MARINE MICROPALEONTOLOGY

Analysis of transfer learning for deep neural network based plant classification models

(2019) Aydin Kaya et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Convolutional neural networks as aid in core lithofacies classification

(2019) Rafael Pires de Lima et al.   Interpretation-A Journal of Subsurface Characterization

Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks

(2019) Allison Y. Hsiang et al.   Paleoceanography and Paleoclimatology

Deep convolutions for in-depth automated rock typing

(2019) E.E. Baraboshkin et al.   COMPUTERS & GEOSCIENCES

Algae, calcitarchs and the Late Ordovician Baltic limestone facies of the Baltic Basin

(2019) Björn Kröger et al.   FACIES

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rapid biotic rebound during the late Griesbachian indicates heterogeneous recovery patterns after the Permian-Triassic mass extinction

(2018) Xu Dai et al.   GEOLOGICAL SOCIETY OF AMERICA BULLETIN

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Early Triassic environmental dynamics and microbial development during the Smithian–Spathian transition (Lower Weber Canyon, Utah, USA)

(2018) Anne-Sabine Grosjean et al.   SEDIMENTARY GEOLOGY

Species identification by conservation practitioners using online images: accuracy and agreement between experts

(2018) Gail E. Austen et al.   PeerJ

An automatic methodology for analyzing sorting level of rock particles

(2018) Lei Shu et al.   COMPUTERS & GEOSCIENCES

End-Permian mass extinction of calcareous algae and microproblematica from Liangfengya, South China

(2018) Enhao Jia et al.   GEOBIOS

Stratigraphic evidence for Hirnantian glaciation in the Alborz Mountain Ranges, northeastern Iran

(2017) Mohammad Ghavidel-Syooki   PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY

Molecular and automated identification of the diatom genusFrustuliain northern Europe

(2016) Pavla Urbánková et al.   DIATOM RESEARCH

Trace elements and REE geochemistry of Middle Devonian carbonate mounds (Maïder Basin, Eastern Anti-Atlas, Morocco): Implications for early diagenetic processes

(2016) Fulvio Franchi et al.   SEDIMENTARY GEOLOGY

Species identification by experts and non-experts: comparing images from field guides

(2016) G. E. Austen et al.   Scientific Reports

Recovery dynamics of foraminifers and algae following the Permian-Triassic extinction in Qingyan, South China

(2015) Haijun Song et al.   GEOBIOS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automated pollen identification using microscopic imaging and texture analysis

(2015) J. Víctor Marcos et al.   MICRON

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Facies analysis and palaeoclimatic significance of ironstones formed during the Eocene greenhouse

(2014) Walid Salama et al.   SEDIMENTOLOGY

Platform-to-basin facies transition and tectono-sedimentary processes in the Jurassic deposits of the Furlo area (Umbria-Marche Apennines, Italy)

(2013) Ugo Donatelli et al.   FACIES

Tubiphytes Maslov, 1956 and description of similar organisms from Triassic reefs of the Tethys

(2013) Baba Senowbari-Daryan   FACIES

Automated processing and identification of benthic invertebrate samples

(2010) David A. Lytle et al.   JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY

Time to automate identification

(2010) Norman MacLeod et al.   NATURE

Two episodes of foraminiferal extinction near the Permian–Triassic boundary at the Meishan section, South China

(2009) H. Song et al.   AUSTRALIAN JOURNAL OF EARTH SCIENCES

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

End-Permian mass extinction of foraminifers in the Nanpanjiang basin, South China

(2009) Haijun Song et al.   JOURNAL OF PALEONTOLOGY

Bioerosional structures and pseudoborings from Late Jurassic and Late Cretaceous-Paleocene shallow-water carbonates (Northern Calcareous Alps, Austria and SE France) with special reference to cryptobiotic foraminifera

(2008) Felix Schlagintweit   FACIES