A hyperbolic-space framework with geometric entailment constraints and a graph-aware Mamba module improves brain-network classification of ASD and MDD by explicitly modeling ROI-to-community-to-whole-brain hierarchy.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4representative citing papers
Low-Prandtl-number simulations show that Taylor-expansion terms neglected in upscaled heat-transfer models are significant at porous-fluid interfaces.
The paper introduces CoarseSoundNet, a deep learning model for classifying biophony, geophony, and anthropophony in passive acoustic monitoring recordings, reporting performance gains from additional similar data, a silence class, and decision thresholds, plus a case study on acoustic index trends.
3DFSR, a voxel U-Net CNN, super-resolves ALS forest point clouds to raise stem detection F1 from 0.71 to 0.97, cut DBH RMSE from 13.45 cm to 6.43 cm, and produce stems close to mobile laser scan quality.
citing papers explorer
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Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis
A hyperbolic-space framework with geometric entailment constraints and a graph-aware Mamba module improves brain-network classification of ASD and MDD by explicitly modeling ROI-to-community-to-whole-brain hierarchy.
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Influence of Prandtl number on heat transfer over a permeable wall
Low-Prandtl-number simulations show that Taylor-expansion terms neglected in upscaled heat-transfer models are significant at porous-fluid interfaces.
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CoarseSoundNet: Building a reliable model for ecological soundscape analysis
The paper introduces CoarseSoundNet, a deep learning model for classifying biophony, geophony, and anthropophony in passive acoustic monitoring recordings, reporting performance gains from additional similar data, a silence class, and decision thresholds, plus a case study on acoustic index trends.
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Super-Resolution of Airborne Laser Scanning Point Clouds for Forest Inventory
3DFSR, a voxel U-Net CNN, super-resolves ALS forest point clouds to raise stem detection F1 from 0.71 to 0.97, cut DBH RMSE from 13.45 cm to 6.43 cm, and produce stems close to mobile laser scan quality.