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Study Type: simulation/modelling Subject: Computer Science, Systems and Electrical Engineering

1 to 10 of 22 Results

ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24) May 8, 2024 Xie, Xianghui, 2024, "ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)", https://doi.org/10.17617/3.2VUEUS, Edmond, V4 A large scale synthetic dataset about human-object interaction. It features about 1M+ interaction images with 21k+ different objects. The generation of this dataset is described in the paper "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Gen...
A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length. Mar 26, 2024 Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1 Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses...
MPI-10: Haptic-Auditory Measurements from Tool-Surface Interactions Jan 17, 2024 Khojasteh, Behnam; Shao, Yitian; Kuchenbecker, Katherine J., 2024, "MPI-10: Haptic-Auditory Measurements from Tool-Surface Interactions", https://doi.org/10.17617/3.PM8R94, Edmond, V1 This dataset consists of haptic-auditory recordings as a human explores 10 surfaces with 3 steel tools, including accelerations of the tool and finger, force and torque applied to the surface, and contact sounds.
Supplementary Model Files for "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020) Jan 16, 2024 Jin, Zhijing, 2024, "Supplementary Model Files for "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020)", https://doi.org/10.17617/3.VKWOI9, Edmond, V1 - Paper: "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020) by Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, and Xuanjing Huang. - Paper link: https://arxiv.org/abs/2009.07964 - Abstract: Aspect-based sentiment a...
Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?" Jan 10, 2024 Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3 Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schölkopf. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...
CLadder: Assessing Causal Reasoning in Language Models Jan 7, 2024 Jin, Zhijing, 2024, "CLadder: Assessing Causal Reasoning in Language Models", https://doi.org/10.17617/3.NVRRA9, Edmond, V1 Paper: "CLadder: Assessing Causal Reasoning in Language Models" (NeurIPS 2023) by Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf. (http://arxiv.org/abs/2312.04...
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation Jan 2, 2024 Jin, Zhijing, 2024, "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation", https://doi.org/10.17617/3.YGO7EW, Edmond, V1 Paper: "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation" (COLING 2020) by Zhijing Jin, Qipeng Guo, Xipeng Qiu, and Zheng Zhang. (https://aclanthology.org/2020.coling-main.217/) Abstract: Data collection for the knowledge...
Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25" Dec 18, 2023 Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1 This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for...
Supplementary material: Machine learning based classification of vector field configurations Sep 29, 2023 Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1 The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th...
Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag Sep 29, 2023 Fangohr, Hans; Lang, Martin; Holt, Samuel J. R.; Pathak, Swapneel Amit; Zulfiqar, Kauser; Beg, Marijan, 2023, "Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag", https://doi.org/10.17617/3.D5FT5Y, Edmond, V1 Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements.

ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)

May 8, 2024

Xie, Xianghui, 2024, "ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)", https://doi.org/10.17617/3.2VUEUS, Edmond, V4

A large scale synthetic dataset about human-object interaction. It features about 1M+ interaction images with 21k+ different objects. The generation of this dataset is described in the paper "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Gen...

A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.

Mar 26, 2024

Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1

Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses...

MPI-10: Haptic-Auditory Measurements from Tool-Surface Interactions

Jan 17, 2024

Khojasteh, Behnam; Shao, Yitian; Kuchenbecker, Katherine J., 2024, "MPI-10: Haptic-Auditory Measurements from Tool-Surface Interactions", https://doi.org/10.17617/3.PM8R94, Edmond, V1

This dataset consists of haptic-auditory recordings as a human explores 10 surfaces with 3 steel tools, including accelerations of the tool and finger, force and torque applied to the surface, and contact sounds.

Supplementary Model Files for "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020)

Jan 16, 2024

Jin, Zhijing, 2024, "Supplementary Model Files for "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020)", https://doi.org/10.17617/3.VKWOI9, Edmond, V1

- Paper: "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis" (EMNLP 2020) by Xiaoyu Xing*, Zhijing Jin*, Di Jin, Bingning Wang, Qi Zhang, and Xuanjing Huang. - Paper link: https://arxiv.org/abs/2009.07964 - Abstract: Aspect-based sentiment a...

Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"

Jan 10, 2024

Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3

Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab*, Bernhard Schölkopf*. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...

CLadder: Assessing Causal Reasoning in Language Models

Jan 7, 2024

Jin, Zhijing, 2024, "CLadder: Assessing Causal Reasoning in Language Models", https://doi.org/10.17617/3.NVRRA9, Edmond, V1

Paper: "CLadder: Assessing Causal Reasoning in Language Models" (NeurIPS 2023) by Zhijing Jin*, Yuen Chen*, Felix Leeb*, Luigi Gresele*, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf. (http://arxiv.org/abs/2312.04...

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation

Jan 2, 2024

Jin, Zhijing, 2024, "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation", https://doi.org/10.17617/3.YGO7EW, Edmond, V1

Paper: "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation" (COLING 2020) by Zhijing Jin, Qipeng Guo, Xipeng Qiu, and Zheng Zhang. (https://aclanthology.org/2020.coling-main.217/) Abstract: Data collection for the knowledge...

Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"

Dec 18, 2023

Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1

This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for...

Supplementary material: Machine learning based classification of vector field configurations

Sep 29, 2023

Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1

The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th...

Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag

Sep 29, 2023

Fangohr, Hans; Lang, Martin; Holt, Samuel J. R.; Pathak, Swapneel Amit; Zulfiqar, Kauser; Beg, Marijan, 2023, "Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag", https://doi.org/10.17617/3.D5FT5Y, Edmond, V1

Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements.

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