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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Amalgamating Multi-Task M" (21 stories)

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A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation
Lead StoryNaturegeneral
Apr 18

A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ldUU0OFV1dVl5dXB3ZWJZM3M2c2RTWWpOdUs3SGF3R081SkxrTGtKN0tSSmVMcVl3Wkc1NzZMNk83bUtMQWpNZWJPdzlpUTBJa1lQcF9rX3FVTVp6SXk0?oc=5" target="_blank">A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Amalgamating Multi-Task M"

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20 stories displayed
VEA-net: vascular enhancement attention with dual-backbone multi-task learning for comprehensive ROP management across multi-center datasets
Frontiersgeneral

VEA-net: vascular enhancement attention with dual-backbone multi-task learning for comprehensive ROP management across multi-center datasets

<a href="https://news.google.com/rss/articles/CBMirAFBVV95cUxPYmtsaGxvYk9IZ1VUQjhTY1dXVTBqMmtlVW5kQ0NOQWRJVEFUZjg5UFFhLUxTRjNUb3dZcmc5UXBBUlhQNmEwUC1GX1BHczlGQkN1N2tEXzR3SG5lUTMybkRpTE9udnZ5VmQyY2xQcnlDdUR3T3RxbUkxNTdjd0V6ZllPZlBuMGVYa1h3RGpWTjFqc0tNUmp1WXh2azFoaDRaaE13aUpFSkVCbkRj?oc=5" target="_blank">VEA-net: vascular enhancement attention with dual-backbone multi-task learning for comprehensive ROP management across multi-center datasets</a>  <font color="#6f6f6f">Frontiers</font>

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Visual obstacle avoidance technology of VSLAM indoor intelligent logistics robot combining optical flow and feature extraction
Naturetech

Visual obstacle avoidance technology of VSLAM indoor intelligent logistics robot combining optical flow and feature extraction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBtOGZEbFdtX0Y1bHRBVVdSc2hfZmRWYTZCaGpqSm1rQVRLRHJ0cHdNOVZUTHJCVVgtM1pzNTVhR21iV0ZvYUt0aUtuRnFaZXZld3UxTGdDWG9pVlFpbzJ3?oc=5" target="_blank">Visual obstacle avoidance technology of VSLAM indoor intelligent logistics robot combining optical flow and feature extraction</a>  <font color="#6f6f6f">Nature</font>

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Deep Learning Goes Multi-Tasking
Eosgeneral

Deep Learning Goes Multi-Tasking

<a href="https://news.google.com/rss/articles/CBMidEFVX3lxTE15Vm40T0JXRVF2VDAyMlNWeWdpVHBlWDJNWjJreVV0eGJuWm5rWG8zSUY3czljdHFLcDNmUmhXSEdPdkJJU2QxVlJTWXpCSzZseFBsMjBnbVB6NmFHRXZwSTFISUhXUnQ0alkyN0pHbXZaUUlr?oc=5" target="_blank">Deep Learning Goes Multi-Tasking</a>  <font color="#6f6f6f">Eos</font>

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NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments
Naturegeneral

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9JN184dWxKMzlkVmk3MHlnaVJ4S2RKakJ3cmhVb2JpMWhSQXVXelJjNlo1VHpncTBOWE1uZG1EcE04bzBwTElseklPNDdpVkpNOEdwc2VkeHA1cW5sY3dV?oc=5" target="_blank">NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments</a>  <font color="#6f6f6f">Nature</font>

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A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports
Natureworld

A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5kRHBHZmZMbGc0cUFpamV1am1hRGxsZHdnUVBJQkFrdy1IRGx0U2ktMTNWRjIwSU9vSFdIUjN5NkVfeHNYeEpTcWQ5Nk9OZHFLLXV4SnhFZjhwc3FoNm9V?oc=5" target="_blank">A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing
Naturegeneral

Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mSlo0by1aUHdEck5xM2FvMXh5VHV3elo2TmhRcU90Q0tZdC1meWlHNDVBS3UwWklmNmhRclItaXNWS0ZhWWs0aS1yTzVYZjEyY0VGX0p6cnd0dDF5bkpR?oc=5" target="_blank">Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing</a>  <font color="#6f6f6f">Nature</font>

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Entity relationship extraction method based on dependency parsing and graph neural networks | Scientific Reports
Naturegeneral

Entity relationship extraction method based on dependency parsing and graph neural networks | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9LUFZlOHpFNzN6V3ZjUXl6M3Bhc1lHMWJvNmlsMnZDVmFkbzVhWnprV3R6dENBaERPY1dQWnhmSzRidG1mZUFYaWctMVA1M1FxT3g4M2FTdWE2VzNhVEZv?oc=5" target="_blank">Entity relationship extraction method based on dependency parsing and graph neural networks | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization
Naturegeneral

Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5NQktwamphckpiMTQyV1ZqZHpQSF9JMGhkazdEaU54N2V0eVVhTDg3VGF6ajMxNGJseUpkc3JpbHFQeXJqLXJmZUZIMURFWDYwTWVYQWFUclYtMzZ5YURz?oc=5" target="_blank">Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization</a>  <font color="#6f6f6f">Nature</font>

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Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis
Naturetech

Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBTZUNldFgwUFR6d0tEQndKUXFaTTRYWllTak5MTy1xd1VmdG1zb3BOVWczLXdpbkFQaHNwWnhuVzRDVEdzUG5KX196bjVUVktoMEwzdVhWeGJ3bmZjbGlr?oc=5" target="_blank">Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis</a>  <font color="#6f6f6f">Nature</font>

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Multi task opinion enhanced hybrid BERT model for mental health analysis
Naturescience

Multi task opinion enhanced hybrid BERT model for mental health analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB4M0JIM2dmN05OSkw3amNHZjZLS1NnTTd5QjBDUEpoa21LaXhqSHRCdjZDdjlRYjczMmExa0VadXUwOS00SUgwZXVLeVZtUnJyd2Ryd3lMdlVWekZxQm9Z?oc=5" target="_blank">Multi task opinion enhanced hybrid BERT model for mental health analysis</a>  <font color="#6f6f6f">Nature</font>

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Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning
Naturegeneral

Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0tOUFITllEUmM1TVJJLThwNXVNbkxzZ3JIRl9URVVNUnU0ZHZmcHFIN3dWWnRISXJHNVpFVVZIS2RZZXdhMUd2VWxoMFlpUzBDOUY2SExiaEdOanNHRktF?oc=5" target="_blank">Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning</a>  <font color="#6f6f6f">Nature</font>

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CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs
Natureworld

CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16RW9RbzBEd3NtLTlQNmMtVjBWcUFsUE1NTFVWdVRjX29VVC0yTm5Kc0lrQjJ4S21mdms2MW1RTzc5cXF0RjVOaFB0dnIxWWJFMFN0SzQ2dGZiQk0wVjNB?oc=5" target="_blank">CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs</a>  <font color="#6f6f6f">Nature</font>

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Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model
Naturescience

Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBicUpvY1NkdURET3hYUlRWN3loZ3lNc0Y2QnBSU3MtcVRxbk9CUFBFVTlWSWh1djlJQzh6cWRuTi13N2o1NEFpLXBUMHZaOGdzbFNtR2dNclY4aEZUVFFv?oc=5" target="_blank">Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model</a>  <font color="#6f6f6f">Nature</font>

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A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks
Naturegeneral

A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA0WER5RHU0NHoxNGZRSjNUbERzNnpHX0VmNDlmM0pZZTNBaEhXU3NOWFM3U2FnWF9VbmwyWjZjeFQxcVQzdmhNTm8wTWdtQ2hkMjNZN0MwNWJZcHhfVFl3?oc=5" target="_blank">A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks</a>  <font color="#6f6f6f">Nature</font>

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A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction
Natureworld

A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Gb3FtbDlVVEpMRlNBWDVRUFZlT2Nwd1VYdmxhMzJQeEFyVHZZR3pjMnVUd1ZVVGZQNWZIR04xY3EtZFN2Q3N5cmdwLUVjSnFteE1fRWlXZk93Z3NQMTJV?oc=5" target="_blank">A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction</a>  <font color="#6f6f6f">Nature</font>

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High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak
Naturegeneral

High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Ra1FtdTNMSHpidUZJSHZVV0JfUHBleXEwRXZ5MFlzUXUxQVFXaWJqVGNybm5LNEJLN21YaW1FbWtHOW83OVFSby1ZdXlaSFB0U1lHREpkV2o1T1hkVlIw?oc=5" target="_blank">High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak</a>  <font color="#6f6f6f">Nature</font>

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Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring
Naturetech

Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MaGh6bFRiN3dwZFBNX2tVdGlWWFBidUZ6VUFEUDlLZEpXbGI2LTlLYlEzR0lXVE1pUWtIMnVBZENHb09MeVVobUlFc1NLZkN2aS1yd1dFMDE2aVEzTDNF?oc=5" target="_blank">Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring</a>  <font color="#6f6f6f">Nature</font>

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Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis
Naturetech

Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5MU21INnd0Qi0wVkoyTFpDc3dnTkxjbHM3MGs0RHhseEJnakxwUmd2WVhZZWNEUW5ZSjNGYWJreGFpZGVLU2pQS1E0eW9kRjI0T2k0TG52U2p5dTE4N09z?oc=5" target="_blank">Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis</a>  <font color="#6f6f6f">Nature</font>

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Spatial temporal fusion based features for enhanced remote sensing change detection
Naturegeneral

Spatial temporal fusion based features for enhanced remote sensing change detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ZbUg2cWwwWHRuVE1INm5lVXhaSndQazBVNHIwaFN4ZXg2TjZBZ0U3SWZUTEdlV0lRX0t6UkhwNDFhcTVYemJSNHZETUx2Y3lVZ212OGEwWV94V2ZLRzZF?oc=5" target="_blank">Spatial temporal fusion based features for enhanced remote sensing change detection</a>  <font color="#6f6f6f">Nature</font>

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Combining Multi-Label Classifiers Based on Projections of the Output Space Using Evolutionary Algorithms
Universidad de Córdoba (UCO)science

Combining Multi-Label Classifiers Based on Projections of the Output Space Using Evolutionary Algorithms

<a href="https://news.google.com/rss/articles/CBMiRkFVX3lxTE5zdVFGU3ZRVDRGVHhGa1JhNW92bkppTGJaT1NIZ1VsclFKUTdOZGk0Y0g3REhuN1dEa3l6MnRkRnZTMmZvZVE?oc=5" target="_blank">Combining Multi-Label Classifiers Based on Projections of the Output Space Using Evolutionary Algorithms</a>  <font color="#6f6f6f">Universidad de Córdoba (UCO)</font>

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