cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25440/smu.12062763
title: Data from: High impact bug report identification with imbalanced learning strategies

description: This record contains the underlying research data for the publication "High impact bug report identification with imbalanced learning strategies" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/3702In practice, some bugs have more impact than others and thus deserve more immediate attention. Due to tight schedule and limited human resources, developers may not have enough time to inspect all bugs. Thus, they often concentrate on bugs that are highly impactful. In the literature, high-impact bugs are used to refer to the bugs which appear at unexpected time or locations and bring more unexpected effects (i.e., surprise bugs), or break pre-existing functionalities and destroy the user experience (i.e., breakage bugs). Unfortunately, identifying high-impact bugs from thousands of bug reports in a bug tracking system is not an easy feat. Thus, an automated technique that can identify high-impact bug reports can help developers to be aware of them early, rectify them quickly, and minimize the damages they cause. Considering that only a small proportion of bugs are high-impact bugs, the identification of high-impact bug reports is a difficult task. In this paper, we propose an approach to identify high-impact bug reports by leveraging imbalanced learning strategies. We investigate the effectiveness of various variants, each of which combines one particular imbalanced learning strategy and one particular classification algorithm. In particular, we choose four widely used strategies for dealing with imbalanced data and four state-of-the-art text classification algorithms to conduct experiments on four datasets from four different open source projects. We mainly perform an analytical study on two types of high-impact bugs, i.e., surprise bugs and breakage bugs. The results show that different variants have different performances, and the best performing variants SMOTE (synthetic minority over-sampling technique) + KNN (K-nearest neighbours) for surprise bug identification and RUS (random under-sampling) + NB (naive Bayes) for breakage bug identification outperform the F1-scores of the two state-of-the-art approaches by Thung et al. and Garcia and Shihab.Supplementary code and data available from GitHub:
DOI: 10.25440/smu.12062763.v1
title: Data from: High impact bug report identification with imbalanced learning strategies

description: This record contains the underlying research data for the publication "High impact bug report identification with imbalanced learning strategies" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/3702In practice, some bugs have more impact than others and thus deserve more immediate attention. Due to tight schedule and limited human resources, developers may not have enough time to inspect all bugs. Thus, they often concentrate on bugs that are highly impactful. In the literature, high-impact bugs are used to refer to the bugs which appear at unexpected time or locations and bring more unexpected effects (i.e., surprise bugs), or break pre-existing functionalities and destroy the user experience (i.e., breakage bugs). Unfortunately, identifying high-impact bugs from thousands of bug reports in a bug tracking system is not an easy feat. Thus, an automated technique that can identify high-impact bug reports can help developers to be aware of them early, rectify them quickly, and minimize the damages they cause. Considering that only a small proportion of bugs are high-impact bugs, the identification of high-impact bug reports is a difficult task. In this paper, we propose an approach to identify high-impact bug reports by leveraging imbalanced learning strategies. We investigate the effectiveness of various variants, each of which combines one particular imbalanced learning strategy and one particular classification algorithm. In particular, we choose four widely used strategies for dealing with imbalanced data and four state-of-the-art text classification algorithms to conduct experiments on four datasets from four different open source projects. We mainly perform an analytical study on two types of high-impact bugs, i.e., surprise bugs and breakage bugs. The results show that different variants have different performances, and the best performing variants SMOTE (synthetic minority over-sampling technique) + KNN (K-nearest neighbours) for surprise bug identification and RUS (random under-sampling) + NB (naive Bayes) for breakage bug identification outperform the F1-scores of the two state-of-the-art approaches by Thung et al. and Garcia and Shihab.Supplementary code and data available from GitHub:
DOI: 10.25721/96a9-vj69
title: Le déserteur de 70
DOI: 10.25721/3qm7-8917
title: Un beau navire à la riche carène
DOI: 10.25721/261x-pe91
title: Le mousse héroïque
DOI: 10.25721/wb2n-fk30
title: Le mousse héroïque
DOI: 10.25721/3kcz-e846
title: Un crime épouvantable
DOI: 10.25721/shq8-rw22
title: Information sur la chanson "On m'envoyait à l'herbe"
DOI: 10.25721/zev8-6103
title: Information sur la chanson "Elle s'en va de branche en branche"
DOI: 10.25440/smu.12062766
title: Data from: Core determining class and inequality selection

description: This record contains the underlying research data for the publication "Core determining class and inequality selection" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/3769The relations between unobserved events and observed outcomes can be characterized by a bipartite graph. We propose an algorithm that explores the structure of the graph to construct the "exact Core Determining Class," i.e., the set of irredudant inequalities. We prove that in general the exact Core Determining Class does not depend on the probability measure of the outcomes but only on the structure of the graph. For more general linear inequalities selection problems, we propose a statistical procedure similar to the Dantzig Selector to select the truly informative constraints. We demonstrate performances of our procedures in Monte-Carlo experiments.Based on paper given at American Economic Association Annual Meeting 2017, January 6-8, Chicago, IL
DOI: 10.25440/smu.12062766.v1
title: Data from: Core determining class and inequality selection

description: This record contains the underlying research data for the publication "Core determining class and inequality selection" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/3769The relations between unobserved events and observed outcomes can be characterized by a bipartite graph. We propose an algorithm that explores the structure of the graph to construct the "exact Core Determining Class," i.e., the set of irredudant inequalities. We prove that in general the exact Core Determining Class does not depend on the probability measure of the outcomes but only on the structure of the graph. For more general linear inequalities selection problems, we propose a statistical procedure similar to the Dantzig Selector to select the truly informative constraints. We demonstrate performances of our procedures in Monte-Carlo experiments.Based on paper given at American Economic Association Annual Meeting 2017, January 6-8, Chicago, IL
DOI: 10.25721/pewq-n695
title: Information sur la chanson "Passant par Paris, vidant ma bouteille"
DOI: 10.25721/pspm-sv97
title: Information sur le quadrille des lanciers
DOI: 10.25721/z5k2-fe93
title: Information sur la danse du balai
DOI: 10.25721/etmb-w689
title: Autobiographie de Madame Françoise Corre
DOI: 10.25440/smu.12062769
title: Data from: People in more racially diverse neighborhoods are more prosocial

description: This record contains the underlying research data for the publication "People in more racially diverse neighborhoods are more prosocial" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5359Five studies tested the hypothesis that people living in more diverse neighborhoods would have more inclusive identities, and would thus be more prosocial. Study 1 found that people residing in more racially diverse metropolitan areas were more likely to tweet prosocial concepts in their everyday lives. Study 2 found that following the 2013 Boston Marathon bombings, people in more racially diverse neighborhoods were more likely to spontaneously offer help to individuals stranded by the bombings. Study 3 found that people living in more ethnically diverse countries were more likely to report having helped a stranger in the past month. Providing evidence of the underlying mechanism, Study 4 found that people living in more racially diverse neighborhoods were more likely to identify with all of humanity, which explained their greater likelihood of having helped a stranger in the past month. Finally, providing causal evidence for the relationship between neighborhood diversity and prosociality, Study 5 found that people asked to imagine that they were living in a more racially diverse neighborhood were more willing to help others in need, and this effect was mediated by a broader identity. The studies identify a novel mechanism through which exposure to diversity can influence people, and document a novel consequence of this mechanism.
DOI: 10.25440/smu.12062769.v1
title: Data from: People in more racially diverse neighborhoods are more prosocial

description: This record contains the underlying research data for the publication "People in more racially diverse neighborhoods are more prosocial" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5359Five studies tested the hypothesis that people living in more diverse neighborhoods would have more inclusive identities, and would thus be more prosocial. Study 1 found that people residing in more racially diverse metropolitan areas were more likely to tweet prosocial concepts in their everyday lives. Study 2 found that following the 2013 Boston Marathon bombings, people in more racially diverse neighborhoods were more likely to spontaneously offer help to individuals stranded by the bombings. Study 3 found that people living in more ethnically diverse countries were more likely to report having helped a stranger in the past month. Providing evidence of the underlying mechanism, Study 4 found that people living in more racially diverse neighborhoods were more likely to identify with all of humanity, which explained their greater likelihood of having helped a stranger in the past month. Finally, providing causal evidence for the relationship between neighborhood diversity and prosociality, Study 5 found that people asked to imagine that they were living in a more racially diverse neighborhood were more willing to help others in need, and this effect was mediated by a broader identity. The studies identify a novel mechanism through which exposure to diversity can influence people, and document a novel consequence of this mechanism.
DOI: 10.25721/g24e-aq84
title: Dans not'métier ca n'est pas tout rose
DOI: 10.25721/j36b-gt87
title: Je vous supplie Mademoiselle
DOI: 10.25721/y3yd-f529
title: Information sur les coutumes de mariage, (la soupe au lait)
DOI: 10.25721/k503-7h77
title: Information sur le charivari
DOI: 10.25721/rm0h-z554
title: Saut basque
DOI: 10.25721/3spe-bq80
title: Partie de pelote basque : annonces des points
DOI: 10.25721/9n1v-bs46
title: Partie de pelote basque irrintzina
DOI: 10.25721/ydwn-9394
title: Sothoko gophorra
DOI: 10.25721/e40q-3170
title: Sothoko gophorra
DOI: 10.25721/wzbg-2h86
title: Partie de pelote basque : annonce des points
DOI: 10.25721/yh88-1661
title: Partie de pelote basque : annonce des points
DOI: 10.25721/tq88-b345
title: Aurak ikas sasoue
DOI: 10.25721/d8ax-nq94
title: Partie de pelote basque : annonce des points
DOI: 10.25721/q58z-cd88
title: Danse des Cascarots
DOI: 10.25721/tkbe-xg62
title: Marche de procession
DOI: 10.25721/a9df-n229
title: Saut basque : moutchiro
DOI: 10.25721/e4f5-9c83
title: Auresku
DOI: 10.25721/ar5f-cd61
title: Danse de la mascarade souletine
DOI: 10.25721/jqx3-nb84
title: Danse de la mascarade souletine
DOI: 10.25721/2fky-fv14
title: Danse de la mascarade souletine
DOI: 10.25721/cmf9-bv62
title: Danse de la mascarade souletine
DOI: 10.25721/4150-f680
title: Danse de la mascarade souletine : danse du verre
DOI: 10.25721/2k76-4s73
title: Danse de la mascarade souletine : danse du verre
DOI: 10.25721/5837-pv20
title: Banako
DOI: 10.25721/w4mm-9953
title: Fandango
DOI: 10.25721/8msf-p959
title: Le hais na Suire
DOI: 10.25721/jwjf-0d48
title: Casa an t' sugam
DOI: 10.25721/jf0x-jr34
title: T'aim-se atan mbaile
DOI: 10.25721/1qpv-5292
title: Maighdean Mhara
DOI: 10.25721/ec4y-4079
title: Ned of the hill
DOI: 10.25721/f3pb-nr71
title: Jof of Journeywork
DOI: 10.25721/stvk-3g55
title: Rambling Pitchfork
DOI: 10.25721/9xy8-ae19
title: The cuckor
DOI: 10.25721/7kfj-2410
title: Echelle de la villean pipes
DOI: 10.25721/5bht-fn80
title: Old Joe Clark
DOI: 10.25721/t0ae-8n23
title: Going to Boston
DOI: 10.25721/xf32-zc29
title: Little devils
DOI: 10.25721/37kc-s455
title: What'll have do with the baby O ?
DOI: 10.25721/ms5r-9j82
title: Banako
DOI: 10.25440/smu.12062778
title: Data from: Singaporean mothers' perception of their three-year-old child's weight status: A cross-sectional study

description: This record contains the underlying research data for the publication "Singaporean mothers' perception of their three-year-old child's weight status: A cross-sectional study" and the full-text is available from: https://ink.library.smu.edu.sg/soss_research/2459Objective: Inaccurate parental perception of their child's weight status is commonly reported in Western countries. It is unclear whether similar misperception exists in Asian populations. This study aimed to evaluate the ability of Singaporean mothers to accurately describe their three-year-old child's weight status verbally and visually.
DOI: 10.25440/smu.12062778.v1
title: Data from: Singaporean mothers' perception of their three-year-old child's weight status: A cross-sectional study

description: This record contains the underlying research data for the publication "Singaporean mothers' perception of their three-year-old child's weight status: A cross-sectional study" and the full-text is available from: https://ink.library.smu.edu.sg/soss_research/2459Objective: Inaccurate parental perception of their child's weight status is commonly reported in Western countries. It is unclear whether similar misperception exists in Asian populations. This study aimed to evaluate the ability of Singaporean mothers to accurately describe their three-year-old child's weight status verbally and visually.
DOI: 10.25721/1xhf-5209
title: "Ustia dantza", danse des vanniers
DOI: 10.25721/f15g-c964
title: "Makil dantza", danse des bâtons
DOI: 10.15156/bio/sh358735.07fu
title: SH358735.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh358736.07fu
title: SH358736.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1723559.08fu
title: SH1723559.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1723560.08fu
title: SH1723560.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1723561.08fu
title: SH1723561.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh358737.07fu
title: SH358737.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh358738.07fu
title: SH358738.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh358739.07fu
title: SH358739.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.