BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data | Paper Citation Record

Observation e37e881f-4b49-44b9-857c-6fa70f21b009 · outbound

This paper cites Leveraging hyperspectral images for accurate insect classification with a novel two- branch self-correlation approach,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Leveraging hyperspectral images for accurate insect classification with a novel two- branch self-correlation approach,

Reference 1

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Observation 114a4eaa-11d9-4a9c-82d6-1b33a364492e · outbound

This paper cites Ensemble of efficient vision transformers for insect classification,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Ensemble of efficient vision transformers for insect classification,

Reference 2

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Observation 44e0d7ef-6ec8-446e-ad97-eb35eee437c1 · outbound

This paper cites Deep-Wide Learning Assistance for Insect Pest Classification.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Deep-Wide Learning Assistance for Insect Pest Classification

Reference 3

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Observation 987da174-df2c-4691-88aa-d6530797c008 · outbound

This paper cites Edge-optimized deep learn- ing architectures for classification of agricultural insects with mobile deployment,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Edge-optimized deep learn- ing architectures for classification of agricultural insects with mobile deployment,

Reference 4

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Observation 75534f2c-76b1-4311-aac1-e1615c580af7 · outbound

This paper cites Insect-foundation: A foundation model and large multimodal dataset for vision-language insect understanding,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Insect-foundation: A foundation model and large multimodal dataset for vision-language insect understanding,

Reference 5

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Observation a5082059-b676-4021-ad32-6774ee6d3c79 · outbound

This paper cites Improving classification performance by addressing dataset imbalance: A case study for pest management,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Improving classification performance by addressing dataset imbalance: A case study for pest management,

Reference 6

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Observation 74836110-654e-464f-a933-fe8a9fe4af94 · outbound

This paper cites A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level

Reference 7

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Observation 27bcad37-4ea3-40ce-8e4f-cfc3f464f6f5 · outbound

This paper cites Fruit Classification System with Deep Learning and Neural Architecture Search.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Fruit Classification System with Deep Learning and Neural Architecture Search

Reference 8

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Observation fd4b96a5-9913-42f6-a739-4f4e9c417a34 · outbound

This paper cites Deep learning,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Deep learning,

Reference 9

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Observation 9afb349c-ed09-4f56-8bdb-dceb54eb4413 · outbound

This paper cites A decade survey of transfer learning (2010–2020),.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A decade survey of transfer learning (2010–2020),

Reference 10

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Observation 0007228a-332d-4e44-9173-c82c74c79639 · outbound

This paper cites Next generation insect taxonomic clas- sification by comparing different deep learning algorithms,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Next generation insect taxonomic clas- sification by comparing different deep learning algorithms,

Reference 11

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Observation 2457aa5e-3117-4efa-a5f6-f466f2b79d03 · outbound

This paper cites A blockchain and automl approach for open and automated customer service,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A blockchain and automl approach for open and automated customer service,

Reference 12

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Observation 65b1e727-8c16-421e-a226-28b165d51a4e · outbound

This paper cites Enhancing crop productivity and sustainability through dis- ease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Enhancing crop productivity and sustainability through dis- ease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model,

Reference 13

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Observation 0f0e7955-bab8-42e8-b085-d1c6bd6645a7 · outbound

This paper cites Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape,

Reference 14

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Observation 20204ca3-7627-4e7e-adcd-2ba18f780354 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data SAM 2: Segment Anything in Images and Videos

Reference 15

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Observation 091a8210-1816-4271-900c-5cb38d2480a5 · outbound

This paper cites Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device,

Reference 16

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Observation 38a5dec0-0ab0-4cfd-976c-d8ba47b48c1e · outbound

This paper cites Swin attention augmented residual network: a fine-grained pest image recognition method,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Swin attention augmented residual network: a fine-grained pest image recognition method,

Reference 17

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Observation bae7014a-ae56-423d-929a-e80b46cdac36 · outbound

This paper cites Bioscan- 5m: a multimodal dataset for insect biodiversity,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Bioscan- 5m: a multimodal dataset for insect biodiversity,

Reference 18

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Observation 1a7e80c6-71e0-48b9-8370-fbe255ece184 · outbound

This paper cites Insect-foundation: A foundation model and large-scale 1m dataset for visual insect understanding,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Insect-foundation: A foundation model and large-scale 1m dataset for visual insect understanding,

Reference 19

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This paper cites A new optimization approach based on neural architecture search to enhance deep u-net for efficient road segmentation,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A new optimization approach based on neural architecture search to enhance deep u-net for efficient road segmentation,

Reference 20

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This paper cites 3d neural architecture search to optimize segmentation of plant parts,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data 3d neural architecture search to optimize segmentation of plant parts,

Reference 21

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Observation 7b8207a7-2e7c-4fcc-83f6-292ea472e837 · outbound

This paper cites Unsupervised domain adap- tation architecture search with self-training for land cover mapping,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Unsupervised domain adap- tation architecture search with self-training for land cover mapping,

Reference 22

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This paper cites Evolutionary neural architecture search for remote sensing image classification,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Evolutionary neural architecture search for remote sensing image classification,

Reference 23

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This paper cites Champ: A large- scale dataset for skeleton-based composite human motion prediction,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Champ: A large- scale dataset for skeleton-based composite human motion prediction,

Reference 24

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Observation 3fc7dea6-d87b-4a90-be21-cf71427742b2 · outbound

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Deep learning based agri- cultural pest monitoring and classification,

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Observation 72719392-fa8b-47f3-b955-3b3c4cf93c0d · outbound

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Optimizing depthwise separable convolution operations on gpus,

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This paper cites Ddconv: Dynamic dilated convolution,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Ddconv: Dynamic dilated convolution,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Convolution in convolution for network in network,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Expansion-squeeze-excitation fusion network for elderly activity recognition,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Learning relu networks on linearly separable data: Algorithm, optimality, and generalization,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Ampnet: Average-and max-pool networks for salient object detection,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Approximate softmax functions for energy-efficient deep neural networks,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A distributed framework for ea-based nas,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Investigating bi- level optimization for learning and vision from a unified perspective: A survey and beyond,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A survey on evolutionary neural architecture search,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Micronas for memory and latency constrained hardware aware neural architecture search in time series classification on microcontrollers,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A lightweight model of vgg-16 for remote sensing image classification,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A vgg-19 model with transfer learning and image segmentation for classification of tomato leaf disease,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Mobilenetv2: Inverted residuals and linear bottlenecks,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Resnet18dnn: prediction approach of drug-induced liver in- jury by deep neural network with resnet18,

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This paper cites An automatic plant leaf disease identification using densenet-121 architecture with a mutation-based henry gas solubility optimization algorithm,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data An automatic plant leaf disease identification using densenet-121 architecture with a mutation-based henry gas solubility optimization algorithm,

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This paper cites A robust gan- generated face detection method based on dual-color spaces and an improved xception,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A robust gan- generated face detection method based on dual-color spaces and an improved xception,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Elucidating the novel frame- work of liver tumour segmentation and classification using improved optimization-assisted efficientnet b7 learning model,

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This paper cites Application of convnext with transfer learning and data augmentation for malaria par- asite detection in resource-limited settings using microscopic images,.

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Cnn and vit efficiency study on tiny imagenet and dermamnist datasets,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

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This paper cites Joint token pruning and squeezing towards more aggressive compression of vision transformers,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Joint token pruning and squeezing towards more aggressive compression of vision transformers,

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This paper cites Knowledge distillation vulnerability of deit through cnn adversarial attack,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Knowledge distillation vulnerability of deit through cnn adversarial attack,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Levit: a vision transformer in convnet’s clothing for faster inference,

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This paper cites Image as a foreign language: Beit pretraining for vision and vision-language tasks,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Image as a foreign language: Beit pretraining for vision and vision-language tasks,

Reference 55

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This paper cites Deep learning models for automatic identification of plant-parasitic nematode,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Deep learning models for automatic identification of plant-parasitic nematode,

Reference 56

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This paper cites A swin transformer-based model for mosquito species identification,.

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data A swin transformer-based model for mosquito species identification,

Reference 57

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Efficient mae towards large-scale vision transformers,

Reference 58

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Efficientformer: Vision transformers at mobilenet speed,

Reference 59

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Tpot: A tree-based pipeline optimization tool for automating machine learning,

Reference 60

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models

Reference 61

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Auto-keras: An efficient neural architecture search system,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Optuna: A next- generation hyperparameter optimization framework,

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Smac3: A versatile bayesian optimization package for hyperparameter optimization,

Reference 64

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Efficient neural architecture search via parameters sharing,

Reference 65

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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data Neural architecture op- timization,

Reference 66

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