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Rank Scoring via Active Learning (RaScAL)

Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2018 International Semantic Web Conference  
In this paper we present RaScAL, an active learning approach to predicting real-valued scores for items given access to an oracle and knowledge of the overall item-ranking.  ...  The RaScAL algorithm represents one step within a proposed overall system of preference elicitations of scores via pairwise comparisons.  ...  In this paper we present Rank Scoring via Active Learning (RaScAL), a system which combines isotonic regression modelling with active learning techniques to infer a set of scores given access to an oracle  ... 
dblp:conf/semweb/ONeillDN18 fatcat:ue6l4ld4azehfdqysc3cqrcotu

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

Jonathan D Tyzack, Hamse Y Mussa, Mark J Williamson, Johannes Kirchmair, Robert C Glen
2014 Journal of Cheminformatics  
called RASCAL (Random Attribute Subsampling Classification ALgorithm).  ...  In this work 2D topological fingerprints are used to encode atomic sites and three probabilistic machine learning methods are applied: Parzen-Rosenblatt Window (PRW), Naive Bayesian (NB) and a novel approach  ...  For each reaction centre a SVM binary classification model was trained and the score obtained for each potential SoM in a query molecule was used to rank the candidate reaction centres.  ... 
doi:10.1186/1758-2946-6-29 pmid:24959208 pmcid:PMC4047555 fatcat:a2ijlrtctjdevhpjjuyhds3dky

A general framework for learning prosodic-enhanced representation of rap lyrics

Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang
2019 World wide web (Bussum)  
A comprehensive empirical evaluation demonstrates that the proposed framework outperforms the state-of-the-art approaches under various metrics in different rap lyrics learning tasks.  ...  Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source  ...  The mean rank and MRR scores are 9.6 and 0.588, respectively.  ... 
doi:10.1007/s11280-019-00672-2 fatcat:cdunorjugbdvhpvrbgml4wm6n4

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero (+11 others)
2018 NeuroImage  
Under these conditions, and in conjunction with the rank-sum computation we identified the most effective strategies and an overall winning method.  ...  This is followed by a layer to learn the scale and bias explicitly. At test time, normalization is done via the computed global statistics and the learned scale and bias.  ...  The rank-sum scoring assigns a score of 1 to the method with the highest mean Dice overlap measure, 2 to the second highest mean Dice overlap measure, et cetera, for each label.  ... 
doi:10.1016/j.neuroimage.2018.08.003 pmid:30099076 pmcid:PMC6271471 fatcat:pnr3a7ezxbb73d55hrkmmusory

FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns

Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio, Lina Ochoa, Thomas Degueule, Massimiliano Di Penta
2019 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)  
Previous work has shown that recommending usage patterns to developers facilitates the learning process.  ...  Software developers interact with APIs on a daily basis and, therefore, often face the need to learn how to use new APIs suitable for their purposes.  ...  Using Eq. 3 we compute all the missing ratings in the active declaration and get a ranked list of invocations with scores in descending order, which is then suggested to the developer. 5) Code Builder:  ... 
doi:10.1109/icse.2019.00109 dblp:conf/icse/NguyenRRODP19 fatcat:c5mjq2dgpnblznlnkeoqiosr4m

Immuno-genomic profiling of biopsy specimens predicts neoadjuvant chemotherapy response in esophageal squamous cell carcinoma

Shota Sasagawa, Hiroaki Kato, Koji Nagaoka, Changbo Sun, Motohiro Imano, Takao Sato, Todd A. Johnson, Masashi Fujita, Kazuhiro Maejima, Yuki Okawa, Kazuhiro Kakimi, Takushi Yasuda (+1 others)
2022 Cell Reports Medicine  
We perform whole-genome sequencing and RNA sequencing analysis of 141 ESCC biopsy specimens before NAC treatment to generate a machine-learning-based diagnostic model to predict NAC reactivity in ESCC  ...  The interactions between the tumor genome and immune features of ESCC are likely to be a good indicator of therapeutic capability and a therapeutic target for ESCC, and machine learning prediction for  ...  = 0.012 by log rank test for trend; Figure S2G ).  ... 
doi:10.1016/j.xcrm.2022.100705 pmid:35944530 pmcid:PMC9418738 fatcat:p6aojjeiifgwxiuz3hdewxrupi

Dimensions and Metrics for Evaluating Recommendation Systems [chapter]

Iman Avazpour, Teerat Pitakrat, Lars Grunske, John Grundy
2013 Recommendation Systems in Software Engineering  
Examples are code completion, refactoring support or enhanced search capabilities during specific maintenance activities.  ...  Some prediction models can be used in calculating confidence scores. For example, (author?)  ... 
doi:10.1007/978-3-642-45135-5_10 fatcat:6xgphsuhr5dgnhyofqwbaley74

Applications of Multi-view Learning Approaches for Software Comprehension

Amir Saeidi, Jurriaan Hage, Ravi Khadka, Slinger Jansen
2019 The Art, Science, and Engineering of Programming  
We employ state-of-the-art techniques from learning to 1) find a suitable similarity function for each view, and 2) compare different multi-view learning techniques to decompose a software system into  ...  Furthermore, we demonstrate how learning a joint subspace allows for performing cross-modal retrieval across views, yielding results that are more aligned with what the user intends by the query.  ...  The jointly learned space(s) can then be used to perform a particular learning activity, including regression, classification or clustering.  ... 
doi:10.22152/ fatcat:5bw467krprefzdhw7nvu4ib3wm

Deep Learning on Big, Sparse, Behavioral Data

Sofie De Cnudde, Yanou Ramon, David Martens, Foster Provost
2019 Big Data  
The outstanding performance of deep learning (DL) for computer vision and natural language processing has fueled increased interest in applying these algorithms more broadly in both research and practice  ...  Exploring why the deep architectures work well, we show that using the first-layer features learned by DL yields better generalization performance for a linear model than do unsupervised feature-reduction  ...  Good settings for the HPs k are learned via a separate subset of D referred to as a validation set D val = (X val , Y val ).  ... 
doi:10.1089/big.2019.0095 pmid:31860341 fatcat:p5pe36v5srgerdh7rwmfi7oq6m

Language Awareness with a Focus on Lexical Variation

Minmin Tang
2022 Learning & Education  
The study shows that Data-driven learning (DDL) approach has helped EFL learners to build lexical awareness to some degree.  ...  Among the word list, the top ranking is the article 'the', and 'a' ranks the fifth.  ...  People may be careless about this, but it does take place in everyone and they are participants in this activity.  ... 
doi:10.18282/l-e.v10i7.2943 fatcat:yktrip6nafbilgfip3irjqdzsm

Revealing an empirical understanding of aggression and violent behavior in athletics

Neal B. Kimble, Stephen A. Russo, Brandon G. Bergman, Viviana H. Galindo
2010 Aggression and Violent Behavior  
and Teammates' Competence Ranking.  ...  The average aggression ranking of teams with black uniforms was calculated and compared to the average rank of all teams.  ... 
doi:10.1016/j.avb.2010.08.001 fatcat:hrz3peks5zarlk23u43vfaezju

Teaching: Natural or Cultural? [chapter]

David F. Lancy
2016 Evolutionary Psychology  
I was repeatedly warned by adults to keep my distance from this child as he was a rascal and "not a proper Kpelle child."  ...  For example, on Samoa (where rank and etiquette are important): Children as young as six … begin to pick up the distinctive features characterizing people of rank and authority without any explicit instruction  ... 
doi:10.1007/978-3-319-29986-0_2 fatcat:mapbfqve4ngwdjotrsidwiomyy

Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?

Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu
2021 AAAI Conference on Artificial Intelligence  
Self-supervised pre-training techniques, albeit relying on large amounts of text, have enabled rapid growth in learning language representations for natural language understanding.  ...  Our RoBERTa-base and the SemPre-enhanced version both achieve test scores of 76.4∼76.5 on GLUE and overall F1 measures around 86.9 on CoNLL-2012.  ...  The evaluation metric is the average of the lowest rank of the target word predicted by the system across the template sentences for an example.  ... 
dblp:conf/aaai/Ren0WL21 fatcat:zeysice3rjguhdexxzt3jyoeta

Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives [article]

Jonas-Dario Troles, Ute Schmid
2021 arXiv   pre-print
Of the 3, 250 verbs, 3, 210 could be ranked (med = 0.151, std = 0.165) After sorting the verbs by their gender-score, they were analyzed for their suitability to build a sentence in which person P actively  ...  All three NMT systems were accessed via their API, and all translation processes took place in July 2020.  ... 
arXiv:2107.11584v1 fatcat:wvkdn4ibyjbdji74e4nbu37eoq

Augmenting the virtual domain with physical and social elements

Carsten Magerkurth, Timo Engelke, Maral Memisoglu
2004 Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology - ACE '04  
The toys are designed to integrate insights from child psychology to help children learn through play.  ...  Robot Rascals was designed as a true multiplayer game that offered no single player mode. Alas, the link between virtual and physical world was quite limited in Robot Rascals.  ... 
doi:10.1145/1067343.1067363 dblp:conf/ACMace/MagerkurthEM04 fatcat:fdd2crqj55byfdxgszwsehw73a
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