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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Subject-invariant feature" (23 stories)

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A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation
Lead StoryScience Partner Journalstech
Feb 24

A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE9vcDU5eU91emlEdGZkWW1pZ0pXaklFMnNMX1hLVWE5SnE3VVVuWmFFN0RfbHU2OVVPc2FJcjNqbHdYMzNoZExpX2U2ZlRiTldtS0t3RzlsVDh4eUtQZ0VySw?oc=5" target="_blank">A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Search Results for "Subject-invariant feature"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

22 stories displayed
State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation
The Association for the Advancement of Artificial Intelligencetech

State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFA4clV6TjVnak9ONWxYd0pDcjRKSnFqVjhBS1VfZm9TeGJaZnNjQWd2VHlqXzhDSndSX2J5UVJETVVzSzkzaEMyT2tvUGZzWXZ6U2xYaTYwV1ItQW84QlhpUU1OR0E?oc=5" target="_blank">State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Meditation styles are highly discriminable from EEG at the subject level with limited generalization across the population: a machine-learning study
Frontiersgeneral

Meditation styles are highly discriminable from EEG at the subject level with limited generalization across the population: a machine-learning study

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxOZnhQTkhnM09SMmk3YXpkSUxiYVJZdk50VW5hTW9KX1BFNnRPQW9wbVBNN1g2VzhsblMwdG5JM2ZFcWs3YXU2bWtMcWRQVm13SHdlamxXQVlaMkhCMHcySDdvWHdKOGxfUW9sbldibkRhM3pDZ21QTzV2aGJubEJOOTJ3RXFySVFwQWpNMlhqT2lKck5MYkt5alA4UTlKV0NISUE?oc=5" target="_blank">Meditation styles are highly discriminable from EEG at the subject level with limited generalization across the population: a machine-learning study</a>  <font color="#6f6f6f">Frontiers</font>

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Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation
Naturetech

Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1oWW1xRGt6SWRtbXh2Q296MzBhR1lPSE5iWjU2M2pBc2NoN29taDNNcVptUEQ4ZkJVY1psS1JUNzh6ZE1ndk8yMmJQWC14NnZ3dGUtMWRTT0ZyLUFuVHBJ?oc=5" target="_blank">Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation</a>  <font color="#6f6f6f">Nature</font>

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New breakthrough in emotional "mind reading"---photonic vibration perception system achieves stable cross-individual recognition
EurekAlert! Science News Releasesgeneral

New breakthrough in emotional "mind reading"---photonic vibration perception system achieves stable cross-individual recognition

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE83NVFNQk1uU1ZzLUlaZnd1WVN2aHgwOVhTV2tpZ21PQzBMNkpqRC00QWF0MWpnbWZQUkVkN0hUM2d4SnM4dVB0VnlJRGxNMFkyaG85N0NpNWtmczFS?oc=5" target="_blank">New breakthrough in emotional "mind reading"---photonic vibration perception system achieves stable cross-individual recognition</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

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Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization
Frontiersgeneral

Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxNWTJpZDY0UlUyQ1d4blhmaDNfcUs2LUVqdmlMQUpXNDEyaWExMUV3WTl6Wm8zVzVNMDl1dHVOZVVtaFVRVEZfM0xnNVZhT2wxZ2VWRF9hNGRkbXphb2Z6aUJUQ2NSZ1pzeENwZjcyVUlLYmNhSkhPLTZOcXVWY0V0dWNPTlpiNTh2elhXbFRVN3BhLTI2WW5zeTYyYw?oc=5" target="_blank">Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization</a>  <font color="#6f6f6f">Frontiers</font>

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A multi-task EEG emotion recognition method based on emotion-dimension coupling constraints
Naturetech

A multi-task EEG emotion recognition method based on emotion-dimension coupling constraints

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9hYzEwdS1iVXZfRDhOUVhNdzQ5eVk1U3h4TnBwZk9GcXh4TzVCZ1ZfQ1o1OE5DNXJpWlRyT1lFSk1MSnNVOURDU3VjVnJPeHotMzI1cHNQWndjZkNtZ0Nj?oc=5" target="_blank">A multi-task EEG emotion recognition method based on emotion-dimension coupling constraints</a>  <font color="#6f6f6f">Nature</font>

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DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction
The Association for the Advancement of Artificial Intelligencetech

DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5uMzRENkRKNXpfN2hJU3Z4NUJZaTVNbm5ycVQ2OW1OLWQ2X004WDhVbzNGT1NheHNTREFYUVZMN1FJVHpQeExGWEhDSHBlZThpSmVKRkZQeEt2TkFyMkJ6bi1nU04?oc=5" target="_blank">DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding
Frontiersgeneral

TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPZWZuRjNzM1VnXzB6WXM1VjdtVXdXd1VzR2RvOC1QeGtPRmNpbld1WmJUeWcxb0lJd1pEN1dzZ0Ezdkl0RGJaSGExZ0dQZ2NDS1pBbGJLUHQxRHZLT2FESVhwamtlUnljVHozMkh4ZVl2RnlpZzlqWjFnNXdxeWFuT3EzRElRdll0ZW9DeU1yQzhrUHZL?oc=5" target="_blank">TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding</a>  <font color="#6f6f6f">Frontiers</font>

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Cross-subject EEG signals-based emotion recognition using contrastive learning
Naturegeneral

Cross-subject EEG signals-based emotion recognition using contrastive learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE45OXZmM0Q5QUVleDczT2FVamF4Wjk3b1BBaVJZUFd1V0RYZ3owM25kTE1oV3hySjlScG1ySFNLTkpBbjZfYVdvUFc3ZFVDOENrc0RuMFQ5eVcwaktXeFJv?oc=5" target="_blank">Cross-subject EEG signals-based emotion recognition using contrastive learning</a>  <font color="#6f6f6f">Nature</font>

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Deep learning approaches for EEG-based healthcare applications: a comprehensive review
Frontiersscience

Deep learning approaches for EEG-based healthcare applications: a comprehensive review

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxNdXM3WVFkdDM4TFhEOXU3cGtqWl96dWh2VzlycU1DX3pRYV9QWnFtS0tsdFFGTFY1ZmlJbmJ0Y0thRUh6YWRZaUlMN2tKc0IxUWtvV2pMMUxoMWlCU043cmRXOEg2ZUJsV09SSVRkeDFsRi1XTTYzOHctdUVwOFFTTFdZbktjZndDMVYzRzcycjZCb0JYLWFKaXVIeGM?oc=5" target="_blank">Deep learning approaches for EEG-based healthcare applications: a comprehensive review</a>  <font color="#6f6f6f">Frontiers</font>

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Feature-aware domain invariant representation learning for EEG motor imagery decoding
Naturetech

Feature-aware domain invariant representation learning for EEG motor imagery decoding

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4XzVDWmw1b3hfLTJxS25fTXBWR2RkcGpLQWd2b3hIU2Nab1JjdWR0OFp2akUyT2FkWm9QVEk1RmhZOXhiZDdId3V5R1JIQ2NYaWY2aXp2S2FUVHRzX2RF?oc=5" target="_blank">Feature-aware domain invariant representation learning for EEG motor imagery decoding</a>  <font color="#6f6f6f">Nature</font>

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Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures
Naturegeneral

Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5feTlUdmpDcWJPWkpQaDZjZnFCcnNhSFZUZ2owS0VTaTJ0TFJPWjBfSkwybHo0WXo0Q0k1eWlvamRfQklpOFBIWktiNlV0Q1gxeGd6Mk9rSEJ0OEd1ZUc0?oc=5" target="_blank">Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures</a>  <font color="#6f6f6f">Nature</font>

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Dual selections based knowledge transfer learning for cross-subject motor imagery EEG classification
Frontierspolitics

Dual selections based knowledge transfer learning for cross-subject motor imagery EEG classification

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNSGpfWTdsalpWTXg1dnZxRkhQdnByOHd4eUZlbHFBOGhOMUZBTVRrcEVaU0JKeERycExyMk5wZ1MxRUl2VkR6bVZZemVxdk1MSlkyMmo4WlFzdmduVHZNeENWMHhXczFBQTNYNlp6N3lBZEhQVDJqbnQybzRGU0lSc2d2V3hnWmQyLU5aSGNodkV1MG5z?oc=5" target="_blank">Dual selections based knowledge transfer learning for cross-subject motor imagery EEG classification</a>  <font color="#6f6f6f">Frontiers</font>

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Invariant inter-subject relational structures in high order human visual cortex
Naturegeneral

Invariant inter-subject relational structures in high order human visual cortex

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5XcWZYWXJWWjdya1pYSGJfQVlBNTVXRzRQaWpUWS0xbThsS1R2NFo4N0djY2VfNnpNRkJNSm0tT3JVYXVYbG1IR21JM0xYdWFNbENFNzYzb2txX2ZmWDVZ?oc=5" target="_blank">Invariant inter-subject relational structures in high order human visual cortex</a>  <font color="#6f6f6f">Nature</font>

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Local domain generalization with low-rank constraint for EEG-based emotion recognition
Frontierstech

Local domain generalization with low-rank constraint for EEG-based emotion recognition

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPSFNrTFF6NXEwaTJvdTN3NC05UVV0RmxJM2x4aHlVTW5LUzFsUmNPNjFuSEx4eDNZQnJRemhHaUk1TG11OGJZQkk1dXJKeW0xcGpSYm4zV0tpbkNWNmFRTnc0Y1FMb0o5MmFJbHlMVGdLSXhWN2o1MC1mWENSWEp0VmQ5UnhTLWJWNmNiOXYtbFZyUnYx?oc=5" target="_blank">Local domain generalization with low-rank constraint for EEG-based emotion recognition</a>  <font color="#6f6f6f">Frontiers</font>

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Tackling inter-subject variability in smartwatch data using factorization models
Naturegeneral

Tackling inter-subject variability in smartwatch data using factorization models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ESTd2R3A4bUE0a3FjQUtwQ3pHS19JVThrZTUxQ3lQX2F5Y0RTME45Z0VuaUJ6MXJmWFBZNzQtazlMdzUzbl9KODZ0Ml81NUljQ2ZhRlltbDB6Qlp4RlFN?oc=5" target="_blank">Tackling inter-subject variability in smartwatch data using factorization models</a>  <font color="#6f6f6f">Nature</font>

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A sleep staging model based on adversarial domain generalized residual attention network
Frontierstech

A sleep staging model based on adversarial domain generalized residual attention network

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOTmxqazZBSnB2VHlWaGZmR2p0NHdqb01IbDJfMTB6eElxWkJ5Uk94cU1UU1J0NTFSYXJXN0REVXZsSzRfMkI1NnlneTZFU09mSUJRdnEyVU1zenZFUWlYMXVURmI1bHVEWEZSU2ZmYXE3OG1CY2NCVVdvZm11SGFMbGd6QnFQWjU2REZMdWZMcjNzUjdp?oc=5" target="_blank">A sleep staging model based on adversarial domain generalized residual attention network</a>  <font color="#6f6f6f">Frontiers</font>

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Investigation of adaptive muscle synergy modulated motor responses to grasping perturbations
Naturegeneral

Investigation of adaptive muscle synergy modulated motor responses to grasping perturbations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4xR1NuZHlydzZSMnotX2NwZXM2cS1yblUxVFhWVHU3NWFVak1peVl5VHRQdEgxSTI4cHc1OFJZenZxdUJiSUg2SkF5TWVBcThBV25uU0ptcDlWQlVTWmVJ?oc=5" target="_blank">Investigation of adaptive muscle synergy modulated motor responses to grasping perturbations</a>  <font color="#6f6f6f">Nature</font>

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Seizure Prediction in EEG Signals Using STFT and Domain Adaptation
Frontierstech

Seizure Prediction in EEG Signals Using STFT and Domain Adaptation

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPX1RGWjRDemVkRTdETjFGZXBFUlZYcnh3MTR6bnhuY3BHS2pqX0pNWGZKSXdrX18tdXlzU01NajhXZTZxNVN4VTNHUXBxb09JeURic2FzT1Azako1a1p3V2Yya0F4bm1vbjlVOFg4QUVaUGo3Y2JyS0xWZHRPSTAtc0FXd2tDNU9ObThKenoxSzJQQ28?oc=5" target="_blank">Seizure Prediction in EEG Signals Using STFT and Domain Adaptation</a>  <font color="#6f6f6f">Frontiers</font>

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Scale and translation-invariance for novel objects in human vision
Naturegeneral

Scale and translation-invariance for novel objects in human vision

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBHOVRWajJ3blUtR1ljOXpiVTZJVEhKaXh2WjJQSkJqVGgzd0RSLWpSRFRWa0ZFYTJkcElDTVdBZEhPQTRON1c2X25ZQUtTNnRBLTdBbHQ3NXZ0SkxHLWpr?oc=5" target="_blank">Scale and translation-invariance for novel objects in human vision</a>  <font color="#6f6f6f">Nature</font>

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Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
Naturetech

Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1WcWg0SFZwQlFuLWU5RUg0RkNndjM0Q192Mm41Mms4b25KcFdxZDkySnhLOU5HZVMwTjkyczJmYnJiVGhrcjMxcHlzUkFLZUpJYl9GYS1MRnJUNFdmYm1J?oc=5" target="_blank">Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models</a>  <font color="#6f6f6f">Nature</font>

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Newborn chickens generate invariant object representations at the onset of visual object experience
PNASgeneral

Newborn chickens generate invariant object representations at the onset of visual object experience

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE92d0ZtbnQwZDI1T0g1cXVXYkU5aWJ5dXBIa245LUsyRVpzWHEwOE54dzFLYngtMm0xQk9TTUk1YnpCU0w1TmxKdHkxNUF6b3QwcTdMZUlxeDdHdzNz?oc=5" target="_blank">Newborn chickens generate invariant object representations at the onset of visual object experience</a>  <font color="#6f6f6f">PNAS</font>

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"Subject-invariant feature" — Live Google News Trends & Headlines