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publicationDate: 2025

8,631 to 8,640 of 8,663 Results

UVM.pre.tab Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples Tabular Data - 6.3 MB - 90 Variables, 4090 Observations - UNF:6:lJhbFzGOX54xXRVoAlDWZA==
UVM.pre.tab Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples Tabular Data - 75.9 MB - 90 Variables, 49255 Observations - UNF:6:SbrLPqG1YAlx+puKKXhKFA==
UVM.pre.tab Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples Tabular Data - 2.0 MB - 91 Variables, 1290 Observations - UNF:6:b9kbj83NTWrbtx5rOBa9yA==
VCAP.drug.pre.tab Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples Tabular Data - 141.0 MB - 6138 Variables, 1290 Observations - UNF:6:hQcRMmsQai3PKw1d6fjDsQ==
YAPC.drug.pre.tab Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples Tabular Data - 36.1 MB - 1557 Variables, 1290 Observations - UNF:6:JtCmO01Q3JTU/BrMHG7Z/w==
Fuying DAO(Nanyang Technological University) Jan 20, 2025School of Biological Sciences (SBS)
WEN Hanqi(Nanyang Technological University) Jan 17, 2025School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024) Jan 16, 2025 - S-Lab for Advanced Intelligence Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2025, "SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)", https://doi.org/10.21979/N9/JDZOJE, DR-NTU (Data), V1 Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every single frame while the temporal motion relati...
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls Jan 16, 2025 - S-Lab for Advanced Intelligence Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1 We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre...
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment Jan 15, 2025 - S-Lab for Advanced Intelligence Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1 Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models...

UVM.pre.tab

Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples

Tabular Data - 6.3 MB - 90 Variables, 4090 Observations -

UVM.pre.tab

Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples

Tabular Data - 75.9 MB - 90 Variables, 49255 Observations -

UVM.pre.tab

Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples

Tabular Data - 2.0 MB - 91 Variables, 1290 Observations -

VCAP.drug.pre.tab

Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples

Tabular Data - 141.0 MB - 6138 Variables, 1290 Observations -

YAPC.drug.pre.tab

Jan 20, 2025 - AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples

Tabular Data - 36.1 MB - 1557 Variables, 1290 Observations -

Fuying DAO(Nanyang Technological University)

Jan 20, 2025School of Biological Sciences (SBS)

WEN Hanqi(Nanyang Technological University)

Jan 17, 2025School of Chemistry, Chemical Engineering and Biotechnology (CCEB)

SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)

Jan 16, 2025 - S-Lab for Advanced Intelligence

Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2025, "SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)", https://doi.org/10.21979/N9/JDZOJE, DR-NTU (Data), V1

Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every single frame while the temporal motion relati...

FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls

Jan 16, 2025 - S-Lab for Advanced Intelligence

Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1

We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre...

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Jan 15, 2025 - S-Lab for Advanced Intelligence

Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1

Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models...

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