Nome |
# |
Randomness in neural networks: an overview, file e3835323-ca0e-15e8-e053-a505fe0a3de9
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497
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Bayesian random vector functional-link networks for robust data modeling, file e3835323-85ac-15e8-e053-a505fe0a3de9
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242
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MARE: Self-supervised multi-attention REsu-net for semantic segmentation in remote sensing, file e383532d-7021-15e8-e053-a505fe0a3de9
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211
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In codice ratio: OCR of handwritten Latin documents using deep convolutional networks, file e3835323-c875-15e8-e053-a505fe0a3de9
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168
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A non-parametric softmax for improving neural attention in time-series forecasting, file e3835329-f758-15e8-e053-a505fe0a3de9
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162
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Compressing deep-quaternion neural networks with targeted regularisation, file e3835329-db76-15e8-e053-a505fe0a3de9
|
135
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Avalanche. An end-to-end library for continual learning, file e383532d-f1ec-15e8-e053-a505fe0a3de9
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126
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Interpreting black-box models. A review on explainable artificial intelligence, file 7048d899-3bf4-4706-8033-2a97d3ee0f15
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110
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Learning from distributed data sources using random vector functional-link networks, file e383531d-0ca5-15e8-e053-a505fe0a3de9
|
98
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Structured ensembles. An approach to reduce the memory footprint of ensemble methods, file e383532e-1f10-15e8-e053-a505fe0a3de9
|
97
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Bayesian neural networks with maximum mean discrepancy regularization, file e3835329-e81a-15e8-e053-a505fe0a3de9
|
95
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Advances in biologically inspired reservoir computing, file e3835323-b28f-15e8-e053-a505fe0a3de9
|
77
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Complex-valued neural networks with nonparametric activation functions, file e3835326-8b8f-15e8-e053-a505fe0a3de9
|
55
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A meta-learning approach for training explainable graph neural networks, file 78c133f7-a231-4fe3-97ed-dd8824a2b88a
|
54
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A calibrated multiexit neural network for detecting urothelial cancer cells, file e383532c-4de4-15e8-e053-a505fe0a3de9
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51
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Reservoir computing approaches for representation and classification of multivariate time series, file e3835329-c3bb-15e8-e053-a505fe0a3de9
|
40
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A probabilistic re-intepretation of confidence scores in multi-exit models, file e383532e-1f0e-15e8-e053-a505fe0a3de9
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34
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Continual learning with invertible generative models, file 7f6cd3d5-2564-4c13-a3ad-84ddfc38eb5a
|
22
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Handwriting Declines With Human Aging: A Machine Learning Study, file e383532e-daf5-15e8-e053-a505fe0a3de9
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19
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Re-identification of objects from aerial photos with hybrid siamese neural networks, file c334939a-0229-46d3-8530-9390e0dfcf0f
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18
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Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models, file 05fdbf6e-03f8-44ae-abc2-8401a124c2e3
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17
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Explainable spatio-temporal Graph Neural Networks for multi-site photovoltaic energy production, file 998ee364-035d-4912-98d7-1b4753eeb335
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16
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On the robustness of vision transformers for in-flight monocular depth estimation, file 8ad1d579-75a9-4951-ab5a-b4d912c60605
|
9
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Distributed spectral clustering based on Euclidean distance matrix completion, file e3835315-9ab9-15e8-e053-a505fe0a3de9
|
8
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Towards artificial intelligence applications in next generation cytopathology, file 78bc7baf-a362-4ee6-b175-9d82bb069e19
|
7
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Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach, file 7af5f06f-ed8d-4422-a394-fa4c8ce79c14
|
7
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Engagement Detection with Multi-Task Training in E-Learning Environments, file 9ab97c9e-f5d8-46d9-87d3-153d88713d14
|
7
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Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks, file d593946e-0855-4fed-ba0c-e1e33e121eb8
|
7
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A new class of efficient adaptive filters for online nonlinear modeling, file d5d8ed11-1468-4f10-b168-8102af38f941
|
7
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Pixle: a fast and effective black-box attack based on rearranging pixels, file 351baf7a-0b1b-4434-bee9-7b0e0634d0d8
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6
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Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition, file 5351f1c2-9657-4faa-96f9-741425a9ee69
|
6
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Learning speech emotion representations in the quaternion domain, file 5e231af9-ea55-409d-be5a-9f1e0e41f8af
|
6
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Multikernel Activation Functions: Formulation and a Case Study, file 78b01725-8d4c-4ecc-91ce-2d71352f7879
|
5
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Interactive quality enhancement in acoustic echo cancellation, file e3835311-d029-15e8-e053-a505fe0a3de9
|
5
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Distributed learning for random vector functional-link networks, file e3835311-d49d-15e8-e053-a505fe0a3de9
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5
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Distributed semi-supervised support vector machines, file e3835314-be1d-15e8-e053-a505fe0a3de9
|
5
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Distributed music classification using random vector functional-link nets, file e3835316-1b96-15e8-e053-a505fe0a3de9
|
5
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Fully decentralized semi-supervised learning via privacy-preserving matrix completion, file e3835318-ab78-15e8-e053-a505fe0a3de9
|
5
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Self-supervised learning for medieval handwriting identification. A case study from the Vatican Apostolic Library, file e383532e-40e5-15e8-e053-a505fe0a3de9
|
5
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Continual self-supervised learning in Earth observation with embedding regularization, file 38024cb4-dd50-47c7-b678-28b7741c4ef6
|
4
|
Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation, file 451f7cf2-e5f2-4c00-afe1-99ed0bd2201a
|
4
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Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability, file 7146be19-41fc-485a-9869-8af3ecf594c5
|
4
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A decentralized training algorithm for Echo State Networks in distributed big data applications, file e3835314-be1f-15e8-e053-a505fe0a3de9
|
4
|
Privacy-preserving data mining for distributed medical scenarios, file e3835318-ab7f-15e8-e053-a505fe0a3de9
|
4
|
A comparison of consensus strategies for distributed learning of random vector functional-link networks, file e383531c-c937-15e8-e053-a505fe0a3de9
|
4
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EGG-GAE: scalable graph neural networks for tabular data imputation, file 973c2db6-bad5-4a71-a133-69f9080726a8
|
3
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Improving nonlinear modeling capabilities of functional link adaptive filters, file e3835315-5d9e-15e8-e053-a505fe0a3de9
|
3
|
Distributed reservoir computing with sparse readouts, file e3835315-7225-15e8-e053-a505fe0a3de9
|
3
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Granular computing techniques for classification and semantic characterization of structured data, file e3835315-a933-15e8-e053-a505fe0a3de9
|
3
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Microphone array based classification for security monitoring in unstructured environments, file e3835315-b426-15e8-e053-a505fe0a3de9
|
3
|
Prediction of telephone calls load using Echo State Network with exogenous variables, file e3835316-1e20-15e8-e053-a505fe0a3de9
|
3
|
Randomness in neural networks: an overview, file e3835323-ca0d-15e8-e053-a505fe0a3de9
|
3
|
Efficient continual learning in neural networks with embedding regularization, file e3835326-7c28-15e8-e053-a505fe0a3de9
|
3
|
Bayesian neural networks with maximum mean discrepancy regularization, file e3835329-e819-15e8-e053-a505fe0a3de9
|
3
|
Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning, file e383532e-1f12-15e8-e053-a505fe0a3de9
|
3
|
Inferring 3D change detection from bitemporal optical images, file e781fb34-0371-4673-9380-bbb30484204d
|
3
|
Towards Self-Supervised Gaze Estimation, file c4f79c41-8c75-4dd6-88ce-434356518ac4
|
2
|
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo, file d66f7029-abf3-43c8-9792-72b62799821d
|
2
|
An interpretable graph-based image classifier, file e3835312-3308-15e8-e053-a505fe0a3de9
|
2
|
Functional Link Expansions for Nonlinear Modeling of Audio and Speech Signals, file e3835312-de67-15e8-e053-a505fe0a3de9
|
2
|
A nonlinear acoustic echo canceller with improved tracking capabilities, file e3835314-4658-15e8-e053-a505fe0a3de9
|
2
|
Online sequential extreme learning machine with kernels, file e3835315-5f53-15e8-e053-a505fe0a3de9
|
2
|
A framework for adaptive real-time loudness control, file e3835316-c661-15e8-e053-a505fe0a3de9
|
2
|
Parallel and distributed training of neural networks via successive convex approximation, file e3835317-3e11-15e8-e053-a505fe0a3de9
|
2
|
Semi-supervised echo state networks for audio classification, file e3835317-81c2-15e8-e053-a505fe0a3de9
|
2
|
Bayesian random vector functional-link networks for robust data modeling, file e3835323-85ad-15e8-e053-a505fe0a3de9
|
2
|
Why should we add early exits to neural networks?, file e3835327-82ad-15e8-e053-a505fe0a3de9
|
2
|
Distributed stochastic nonconvex optimization and learning based on successive convex approximation, file e3835327-fe74-15e8-e053-a505fe0a3de9
|
2
|
Missing data imputation with adversarially-trained graph convolutional networks, file e3835329-76d8-15e8-e053-a505fe0a3de9
|
2
|
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates, file 109c5bde-8d7d-413c-9d4d-94ac0d85201b
|
1
|
Convolutional neural networks for the detection of esca disease complex in asymptomatic grapevine leaves, file 4c977bca-4bf1-4448-a49e-039a306aeac2
|
1
|
Machine Un-learning. An overview of techniques, applications, and future directions, file 4e28f4fa-8a2a-4939-9a13-afffc8f4609d
|
1
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Probabilistic Load Forecasting With Reservoir Computing, file 8b08d4c1-1acb-4f07-8c36-0a5ccfcee067
|
1
|
User-driven quality enhancement for audio signal processing, file e3835312-4060-15e8-e053-a505fe0a3de9
|
1
|
A semi-supervised random vector functional-link network based on the transductive framework, file e3835314-e0eb-15e8-e053-a505fe0a3de9
|
1
|
Benchmarking functional link expansions for audio classification tasks, file e3835314-e336-15e8-e053-a505fe0a3de9
|
1
|
Fully decentralized semi-supervised learning via privacy-preserving matrix completion, file e3835315-6b95-15e8-e053-a505fe0a3de9
|
1
|
Apprendimento distribuito di reti neurali e neurofuzzy, file e3835315-6c64-15e8-e053-a505fe0a3de9
|
1
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Distributed spectral clustering based on Euclidean distance matrix completion, file e3835315-8fd8-15e8-e053-a505fe0a3de9
|
1
|
A comparison of consensus strategies for distributed learning of random vector functional-link networks, file e3835315-a3ea-15e8-e053-a505fe0a3de9
|
1
|
Privacy-preserving data mining for distributed medical scenarios, file e3835315-c510-15e8-e053-a505fe0a3de9
|
1
|
Diffusion spline adaptive filtering, file e3835316-1374-15e8-e053-a505fe0a3de9
|
1
|
Group sparse regularization for deep neural networks, file e3835316-d98d-15e8-e053-a505fe0a3de9
|
1
|
A framework for parallel and distributed training of neural networks, file e3835317-2d4d-15e8-e053-a505fe0a3de9
|
1
|
Effective blind source separation based on the adam algorithm, file e3835318-628c-15e8-e053-a505fe0a3de9
|
1
|
Significance-based pruning for reservoir’s neurons in echo state networks, file e383531b-8215-15e8-e053-a505fe0a3de9
|
1
|
Online selection of functional links for nonlinear system identification, file e383531b-adb7-15e8-e053-a505fe0a3de9
|
1
|
Stochastic training of neural networks via successive convex approximations, file e383531c-92d7-15e8-e053-a505fe0a3de9
|
1
|
Combined sparse regularization for nonlinear adaptive filters, file e383531f-1784-15e8-e053-a505fe0a3de9
|
1
|
Separation of drum and bass from monaural tracks, file e383531f-aefd-15e8-e053-a505fe0a3de9
|
1
|
A low-complexity linear-in-the-parameters nonlinear filter for distorted speech signals, file e383531f-f503-15e8-e053-a505fe0a3de9
|
1
|
Kafnets: Kernel-based non-parametric activation functions for neural networks, file e3835322-659a-15e8-e053-a505fe0a3de9
|
1
|
Sparse functional link adaptive filter using an ℓ1-norm regularization, file e3835322-9984-15e8-e053-a505fe0a3de9
|
1
|
Recursive multikernel filters exploiting nonlinear temporal structure, file e3835323-85af-15e8-e053-a505fe0a3de9
|
1
|
Bidirectional deep-readout echo state networks, file e3835323-85b1-15e8-e053-a505fe0a3de9
|
1
|
Improving graph convolutional networks with non-parametric activation functions, file e3835323-85b3-15e8-e053-a505fe0a3de9
|
1
|
Widely linear kernels for complex-valued Kernel activation functions, file e3835323-85b5-15e8-e053-a505fe0a3de9
|
1
|
On the use of deep recurrent neural networks for detecting audio spoofing attacks, file e3835323-b0d0-15e8-e053-a505fe0a3de9
|
1
|
Recurrent neural networks with flexible gates using kernel activation functions, file e3835323-ca09-15e8-e053-a505fe0a3de9
|
1
|
Quaternion convolutional neural networks for detection and localization of 3D sound events, file e3835323-ca0b-15e8-e053-a505fe0a3de9
|
1
|
Totale |
2.563 |