Relevant bibliographies by topics / Self-scoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Self-scoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Self-scoring"

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Light, Lee C., Wilbert J. McKeachie, and Yi-Guang Lin. "Self-Scoring: A Self-Monitoring Procedure." Teaching of Psychology 15, no. 3 (1988): 145–47. http://dx.doi.org/10.1207/s15328023top1503_11.

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Self-scoring is a procedure for encouraging students to self-monitor their performance on classroom achievement tests. In our study, students instructed to predict their score on each test item earned higher scores than did students who were not so instructed.
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Espinós, Juan J., Joaquim Calaf, Josep Estadella, and Miguel A. Checa. "Hirsutism scoring in polycystic ovary syndrome: concordance between clinicians' and patients' self-scoring." Fertility and Sterility 94, no. 7 (2010): 2815–16. http://dx.doi.org/10.1016/j.fertnstert.2010.05.022.

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Fitzgerald, Melanie, and Lawrence S. Schoenfeld. "MMPI: Scoring Changes." Psychological Reports 58, no. 3 (1986): 957–58. http://dx.doi.org/10.2466/pr0.1986.58.3.957.

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Coleman, Garry D., C. Patrick Koelling, and E. Scott Geller. "Training and scoring accuracy of organisational self‐assessments." International Journal of Quality & Reliability Management 18, no. 5 (2001): 512–27. http://dx.doi.org/10.1108/02656710110392827.

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Mottram, David R., Philip H. Rowe, and Ian M. Stanley. "Enpharm: Self-scoring computer-assisted learning for pharmacists." Computers & Education 20, no. 2 (1993): 157–62. http://dx.doi.org/10.1016/0360-1315(93)90083-u.

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Boudewyn, Arne Cornelius, and Joan Huser Liem. "Psychological, Interpersonal, and Behavioral Correlates of Chronic Self-Destructiveness: An Exploratory Study." Psychological Reports 77, no. 3_suppl (1995): 1283–97. http://dx.doi.org/10.2466/pr0.1995.77.3f.1283.

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In this study, we selected individuals high and low on a measure of chronic self-destructiveness—the tendency to perform behaviors that later reduce positive consequences and increase the probability of experiencing negative ones—and attempted to differentiate high and low scorers based on a set of hypothesized antecedent and concurrent psychological, interpersonal, and behavioral correlates. Men and women were equally represented in high- and low-scoring groups. High scorers reported experiencing more interpersonal exploitation, greater depression, lower self-esteem, more externalizing attitudes, and less control in relationships than low scorers. High-scoring individuals also engaged in more frequent acts of acute self-destructiveness, including attempted suicide. A significant age covariate effect emerged: high-scoring men and women were younger than low-scoring individuals. These findings underscore the importance of studying chronic self-destructiveness within a developmental framework and suggest that issues of safety and self-care may be particularly germane to educational and clinical interventions aimed at young adults.
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Davis, Aileen. "27 SELF-REPORTED FUNCTION SEVERITY SCORING FOR KNEE OSTEOARTHRITIS." Osteoarthritis and Cartilage 14 (2006): S13. http://dx.doi.org/10.1016/s1063-4584(07)60447-6.

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Kumpulainen, Kirsti, Eila Räsänen, Irmeli Henttonen, et al. "Children with depressive symptoms:A comparison between children scoring high on self-report and children scoring high on both self- and adult report." Nordic Journal of Psychiatry 50, no. 5 (1996): 365–74. http://dx.doi.org/10.3109/08039489409084960.

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Browne, Beverly A., and Dennis O. Kaldenberg. "Self-Monitoring and Image Appeals in Advertising." Psychological Reports 81, no. 3_suppl (1997): 1267–75. http://dx.doi.org/10.2466/pr0.1997.81.3f.1267.

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Two studies with samples of young adults ( n = 130 and n = 168) were conducted to examine the effect of self-monitoring and susceptibility to interpersonal influence on preferences for image-oriented advertising. Although subjects scoring high on self-monitoring did tend to seek advertising information more than subjects scoring low on self-monitoring, the results generally did not support a relationship between self-monitoring with increased liking image-oriented advertisements. Relationships between susceptibility to interpersonal influence, self-monitoring, and preferences for image-oriented advertising were not consistent; however, women were more likely than men to prefer image-oriented advertising and were also more susceptible to interpersonal influence.
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Callahan, Stacey D., and Aline H. Kidd. "Relationship between Job Satisfaction and Self-Esteem in Women." Psychological Reports 59, no. 2 (1986): 663–68. http://dx.doi.org/10.2466/pr0.1986.59.2.663.

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Research shows that women both focus on the social aspects of jobs and rate their self-esteem on social factors, so it was hypothesized that women scoring high on a job-satisfaction questionnaire would score significantly higher on those scales of the Adjective Check List which are relevant to self-esteem than women scoring low in job-satisfaction. The results supported the hypothesis. Job-satisfied women were achievement-oriented, cooperative, tactful, social, self-confident, and comfortable with sex-appropriate roles. Job-unsatisfied women were self-critical, suffered from inferiority feelings, and displayed maladaptive tendencies. Further research was suggested.
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Dissertations / Theses on the topic "Self-scoring"

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Silvestri, Susan M. "Effects of self-scoring on teachers' rates of positive and negative statements during classroom instruction." Columbus, Ohio : Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5num=osu1091992137.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xi, 142 p. : ill. (some color). Advisor: William L. Heward, College of Education. Includes bibliographical references (p. 112-116).
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Coleman, Garry D. "Estimating the impact of third-party evaluator training and characteristics on the scoring of written organizational self-assessments." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-10192006-115613/.

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Pihlqvist, Fredrik, and Benedith Mulongo. "USING RULE-BASED METHODS AND MACHINE LEARNING FOR SHORT ANSWER SCORING." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232070.

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Automatiskt rättning av korta texter är ett område som spänner allt från naturlig språkbehandling till maskininlärning. Projektet behandlar maskininlärning för att förutsäga korrektheten av svar i fritext. Naturlig språkbehandling används för att analysera text och utvinna viktiga underliggande relationer i texten. Det finns idag flera approximativa lösningar för automatiskt rättning av korta svar i fritext. Två framstående metoder är maskininlärning och regelbaserad metod. Vi kommer att framföra en alternativ metod som kombinerar maskininlärning med en regelbaserad metod för att approximativt lösa förenämnda problemet. Studien handlar om att implementera en regelbaserad metod, maskininlärning metod och en slutgiltig kombination av båda dessa metoder. Utvärderingen av den kombinerade metoden utförs genom att titta på de relativa ändringarna i prestanda då vi jämför med den regelbaserade och maskininlärning metoden. De erhållna resultaten har visat att det inte finns någon ökning av noggrannheten hos den kombinerade metoden jämfört med endast maskininlärning metoden. Den kombinerade metoden använder emellertid en liten mängd märkta data med en noggrannhet som är nästan lika metoden med maskininlärning, vilket är positivt. Ytterligare undersökning inom detta område behövs, denna uppsats är bara ett litet bidrag till nya metoder i automatisk rättning.<br>Automatic correction of short text answers is an area that involves everything from natural language processing to machine learning. Our project deals with machine learning for predicting the correctness of candidate answers and natural language processing to analyse text and extract important underlying relationships in the text. Given that today there are several approximative solutions for automatically correcting short answers, ranging from rule-based methods to machine learning methods. We intend to look at how automatic answer scoring can be solved through a clever combination of both machine learning methods and rule-based method for a given dataset. The study is about implementing a rule-based method, a machine learning method and a final combination of both these methods. The evaluation of the combined method is done by measuring its relative performance compared to the rule-based method and machine learning method. The results obtained have shown that there is no increase in the accuracy of the combined method compared to the machine learning method alone. However, the combined method uses a small amount of labeled data with an accuracy almost equal to the machine learning, which is positive. Further investigation in this area is needed, this thesis is only a small contribution, with a new approaches and methods in automatic short answer scoring.
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Grimm, Sarah. "Gymnasielärares arbete med elevers självbedömning och kamratbedömning i den svenska skolan." Thesis, Umeå universitet, Pedagogiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174009.

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The purpose of this qualitative study was to describe and analyze the ways Swedish high school teachers deal with self- and peer assessment which can be defined as arrangement for learners to consider and specify the level, value, or quality of a product or performance of other equal-status learners (Topping, 2009). Products to be assessed can include writing, oral presentations, portfolios, test performance, or other skilled behaviors. Self and peer assessment can be summative or formative. This study has drawn on data from semi-structured interviews with five teachers. The results cast light on how students help each other plan their learning, identify their strengths and weaknesses, target areas for remedial action, and develop other personal and professional skills. Findings indicate that teachers think that the formative assessment is a successful way of working, that they can see that the students develop on many different levels. Finally, this study gives an illustration of how formative and summative purposes is perceived and understood by teachers and is a contribution to further discussions about (educative) assessment.
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Alvero, Aaron J. "Efficacy and Implementation of Automated Essay Scoring Software in Instruction of Literacies to High Level ELLs." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2569.

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This thesis explored the integration of automated essay scoring (AES) software into the writing curriculum for high level ESOL students (levels 3, 4, and 5 on a 1-5 scale) at a high school in Miami, Fl. Issues for Haitian Creole speaking students were also explored. The Spanish and Haitian Creole speaking students were given the option to write notes, outlines, and planning sheets in their L1. After using AES in the middle of the writing process as a revision assistant tool, 24 students responded to a Likert Scale questionnaire. The students responded positively to the AES based on the results of the Likert scale questionnaire: 71% responded “agree” and “strongly agree” to the question “Other students would benefit from using writing software before handing in a final draft.” Also, the majority reported that they valued teacher feedback. None of the students chose to use their L1 to write notes/outlines.
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Chan, Ching-hai Charles. "Examination performance, self-efficacy and attributional retraining : a cognitive psychoimmunological perspective /." Thesis, Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21388568.

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Mei, Wen, and 梅文. "Reliability Test of Our Self Design Actigraphy on Autonomic Sleep/Wake Scoring in Human." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/62351206860233346667.

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碩士<br>國立陽明大學<br>腦科學研究所<br>103<br>Background: Sleep disorders have become a common disease in recent years and we pay more attention on sleep detecting gradually. Polysomnography (PSG) is the gold standard for assessing sleep quality, but it needs high cost and long set-up time which is not suitable for public. Actigraphy, is low cost, small size, set up fast, and long-term recording, can be used to distinguish sleep and detect activities. As we known, detecting sleep/wake pattern by using actigraphy is more convenient and less-cost than traditional sleep detecting tool, also can long-term recording. However, because of low accuracy, using actigraphy on sleep scoring and physical activity detecting is still not well-estimated. Aim: To raise the accuracy of actigraphy in distinguishing sleep/wake patterns and application for long-distance health care, we develop sleep/wake discrimination algorithm by laboratory actigraphy, and the comparison with polysomnography (PSG) by using sleep scoring and commercial actiwatch to confirm sleep/wake analysis function. Methods: Each participant carried a laboratory actigraphy with the function of sleep/wake pattern analysis (KY9, K&;Y lab, Taiwan, size: 3.5 x 3.5 x 0.6 cm3, weight: 16 g), a commercial actigraphy (Actiwatch, Actigraph, wActiSleep-BT Monitor, Pensacola) as well as a miniature PSG (TD1, Taiwan Telemedicine Device Company, Taiwan) for 24 hours recording. We compared the results which from the laboratory sleep/wake patterns analysis, standard sleep/wake scoring system and commercial actiwatch. Results: The correlation between TD1 and KY9 by the Pearson linear regression was higher than the correlation between TD1 and commercial actiwatch in total sleep time (r = 0.98, p < 0.001). The Bland-Altman plot used to calculate the variation of KY9 and Actiwatch between TD1 showed that KY9 was better than commercial actiwatch in stability (p = 0.02). Moreover, the similarity between KY9 and TD1 of the sleep parameters, including sleep efficiency (SE) and wakening time after sleep onset (WASO) was higher than commercial actiwatch (p < 0.01). Conclusion: The laboratory-made actigraphy with our developed sleep/wake discrimination analysis have higher accuracy for sleep/wake scoring than the commercial actiwatch, especially in total sleep time. This can provide low power and more convenient sleep monitoring technique with great stability and consistency; even combine cloud computing technique to raise the life quality for general population.
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Hsiao, Ya-ping, and 蕭雅萍. "A Study of Scoring Criteria and Rubrics on Sixth Graders’ Performance Assessment of Spoken English and Self-assessment." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/83957822857114140614.

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碩士<br>國立臺南大學<br>國民教育研究所<br>90<br>The purpose of this study was to design a performance assessment of spoken English and the scoring criteria and rubrics for sixth grade students. Specifically, the study attempted to investigate the effects of scoring criteria and rubrics on students’ performance assessment of spoken English and self-assessment. The 111 subjects in this study were sampled from three classes of sixth graders in a Tainan county school, each school class forming one of the three groups of this study: group A received the instruction of scoring rubrics, group B received the instruction of scoring criteria, and group C was the control group. An experiment with post-test nonequivalent group design was conducted. All subjects were given an English achievement test, a performance assessment of spoken English and a self-assessment questionnaire. The study comprised three phases: first, the study intended to quantify the psychometric characteristics of the performance assessment; second, the study analyzed the degree of consensus between the students’ self-ratings and teachers’ ratings and compared the results between the three groups; finally, the study compared the performance difference between hit and miss self-assessors. The main results were as follows: 1. The performance assessment of spoken English was supported by high reliability and validity. a. Two aspects of construct validity were examined. For the content aspect, the coverage of assessment and items included was appropriate. For the structural aspect, the developing of scoring criteria and rubrics and the factors included were intended to reflect the structure of the items of assessment by English specialists and native teachers. b. The G study for the performance assessment had a p × r × t design. The generalizability coefficient of the assessment was. 85, indicating a high level of reliability and validity. 2. The instruction of criteria and rubrics had no significant effect on overall students’ speaking performance. There was no significant effect on students’ performance of each part of the assessment. 3. The instruction of criteria and rubrics was useful for students’ self-assessment. Students of group A and B had positive attitudes toward the self-assessment questionnaire. Most students accepted that using the criteria or rubrics was beneficial for learning English. More than half of students were sensitive to the factors of the criteria. 4. The instruction of criteria and rubrics didn’t result more hit self-assessors between these three groups. For all the students, the correlation between teachers and students was .92. 5. There was no significant difference in speaking performance between hit and miss self-assessors. Although more than half of the students were hit self-assessors, their performance was not better than miss self-assessors. On the other hand, the performance of underestimating self-assessors was not better than overestimating self-assessors.
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Books on the topic "Self-scoring"

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Hodges, Kay. CAFAS self-training manual and blank scoring forms. Functional Assessment Systems, 2003.

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Nevid, Jeffrey S. Self-scoring study guide and student activities manual to accompany Psychology and the challenges of life: Adjustment and growth. Wiley, 2010.

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Weston, Liz Pulliam. Your Credit Score. Pearson Education, 2007.

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Weston, Liz Pulliam. Your credit score: How to fix, improve, and protect the 3-digit number that shapes your financial future. Pearson Prentice Hall, 2005.

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Your credit score: How to fix, improve, and protect your credit for life. Prentice Hall Professional Technical Reference, 2005.

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Weston, Liz Pulliam. Your Credit Score. FT Press, 2008.

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Weston, Liz Pulliam. Your credit score: How to fix, improve, and protect the 3-digit number that shapes your financial future. FT Press, 2009.

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Weston, Liz Pulliam. Your credit score: How to fix, improve, and protect the 3-digit number that shapes your financial future. 2nd ed. FT Press, 2007.

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Self-Scoring Personality Tests (Self-Scoring Tests). Sterling, 1996.

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Self-Scoring IQ Tests (Self-Scoring Tests). Sterling, 1996.

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Book chapters on the topic "Self-scoring"

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Li, Xia, Minping Chen, Jianyun Nie, Zhenxing Liu, Ziheng Feng, and Yingdan Cai. "Coherence-Based Automated Essay Scoring Using Self-attention." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01716-3_32.

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Ben Ida, Imen, Moez Balti, Sondès Chabaane, and Abderrazak Jemai. "Self-adaptative Early Warning Scoring System for Smart Hospital." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51517-1_2.

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Panaite, Marilena, Stefan Ruseti, Mihai Dascalu, Renu Balyan, Danielle S. McNamara, and Stefan Trausan-Matu. "Automated Scoring of Self-explanations Using Recurrent Neural Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29736-7_61.

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Nováczki, Szabolcs, Tsvetko Tsvetkov, Henning Sanneck, and Stephen S. Mwanje. "A Scoring Method for the Verification of Configuration Changes in Self-Organizing Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26925-2_1.

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Deszczyński, Bartosz. "Validating the Relationship Management Maturity Concept." In Firm Competitive Advantage Through Relationship Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67338-3_4.

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AbstractThis chapter operationalizes and tests the preliminary proposal of the RM maturity model in field research. The first section discusses the design of the 40-question questionnaire, which aims to verify the links between RM maturity and sustainable competitive advantage. Different classes of research biases are addressed on a semantic level, and a scoring method based on the Net Promoter Score methodology is introduced. The second section presents the analytical strategy and the design of the empirical test, encompassing the self-reporting of business respondents and machine learning analytical techniques. The product of this analysis is a set of association rules, which separate a ‘basket’ of 10 critical RM activities and approaches linked by 16 rules, typically in a reciprocal way. The third section comments on the detailed empirical results on RM maturity and sustainable competitive advantage, which are found to be much in line with business ethics. The hallmark of an ethical RM-mature firm is open internal vertical and horizontal communication, which enables the company to be a meaningful partner in the relationships with its customers and other stakeholders.
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"Improve Performance Self-Scoring Diagnostic and Roadmap." In Corporate Performance Management Best Practices. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118540312.ch9.

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Stewart, Abigail J. "Revised scoring manual for self-definition and social definition." In Motivation and Personality. Cambridge University Press, 1992. http://dx.doi.org/10.1017/cbo9780511527937.035.

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Mustafa, Ghulam, and Richard Glavee-Geo. "Role of Masculinity and Uncertainty Avoidance Orientation in the Relationship Between Team Learning Behavior and Self-Efficacy." In Advances in Human Resources Management and Organizational Development. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2480-9.ch013.

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This chapter examines the relationship between team learning behavior and employee work related self- efficacy beliefs and further explores the moderating role of individual difference variables, such as masculinity–femininity and uncertainty avoidance values. The study tested three hypotheses using a sample of employees from a large public organization in Pakistan. The results indicated a significant positive relationship between team learning behavior and employee perceptions of their self-efficacy. Regarding the moderating role of individual differences, the data showed that the link between team learning and self-efficacy was stronger for individuals scoring high (versus low) on masculinity orientation. However, the results revealed no empirical evidence to confirm the hypothesis that employees scoring low on uncertainty avoidance will perceive a stronger relationship between team learning and self-efficacy.
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Živèák, Marek. "Self-scoring Online Quizzes as a Tool for Enhancement of Student Reading and Comprehension." In Innovating Teaching and Learning. Budrich UniPress, 2013. http://dx.doi.org/10.2307/j.ctvddzm4h.5.

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West, David, and Cornelius Muchineuta. "Credit Scoring Using Supervised and Unsupervised Neural Networks." In Neural Networks in Business. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-31-0.ch010.

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Some of the concerns that plague developers of neural network decision support systems include: (a) How do I understand the underlying structure of the problem domain; (b) How can I discover unknown imperfections in the data which might detract from the generalization accuracy of the neural network model; and (c) What variables should I include to obtain the best generalization properties in the neural network model? In this paper we explore the combined use of unsupervised and supervised neural networks to address these concerns. We develop and test a credit-scoring application using a self-organizing map and a multilayered feedforward neural network. The final product is a neural network decision support system that facilitates subprime lending and is flexible and adaptive to the needs of e-commerce applications.
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Conference papers on the topic "Self-scoring"

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Barry, Matthew A., Darius A. Thevathasan, Tarik A. Yousif, and Peter A. Beling. "Scoring models as a tool for teacher self-assessment." In 2009 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2009. http://dx.doi.org/10.1109/sieds.2009.5166163.

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Yan, Yanyang, Tao Liu, and Hengbo Jiang. "A Credit Scoring Model of the Self-Employed People." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5303163.

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Khan, Aiman, Muhammad Haris, Syed Sameer Nadeem, Samana Batool, Basit Memon, and Waqar Saleem. "Virtual Self Defense Trainer - Analyzing and Scoring User Pose." In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2020. http://dx.doi.org/10.1109/hora49412.2020.9152860.

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Herlawati, Yaya Heryadi, Agung Trisetyarso, Wayan Suparta, Chul Ho Kang, and Bahtiar Saleh Abbas. "Scoring Urban Sustainability as a Guidance and Self-Learning for City Planners." In 2019 International Congress on Applied Information Technology (AIT). IEEE, 2019. http://dx.doi.org/10.1109/ait49014.2019.9144970.

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Jana, Ananya, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, and Dimitris Metaxas. "Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9433920.

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Fadlan, Muhamad Rizki, Monika Sitio, Diah Ivanasari, et al. "Development of MENARI plus (Self Pulse Assessment and Clinical Scoring) for Detecting Atrial Fibrillation in High-risk Population." In The annual International Conference and Exhibition on Indonesian Medical Education and Research Institute. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009427300570061.

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Chen, Bojiang, Dan Liu, Weimin Li, and Na Guo. "Early Lung Cancer Detection Using The Self-Evaluation Scoring Questionnaire And Chest Digital Radiography: 3-Year Results Of China." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a5395.

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Wang, Qin, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, and Shuguang Cui. "Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/490.

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Protein secondary structure prediction (PSSP) is essential for protein function analysis. However, for low homologous proteins, the PSSP suffers from insufficient input features. In this paper, we explicitly import external self-supervised knowledge for low homologous PSSP under the guidance of residue-wise (amino acid wise) profile fusion. In practice, we firstly demonstrate the superiority of profile over Position-Specific Scoring Matrix (PSSM) for low homologous PSSP. Based on this observation, we introduce the novel self-supervised BERT features as the pseudo profile, which implicitly involves the residue distribution in all native discovered sequences as the complementary features. Furthermore, a novel residue-wise attention is specially designed to adaptively fuse different features (i.e., original low-quality profile, BERT based pseudo profile), which not only takes full advantage of each feature but also avoids noise disturbance. Besides, the feature consistency loss is proposed to accelerate the model learning from multiple semantic levels. Extensive experiments confirm that our method outperforms state-of-the-arts (i.e., 4.7% for extremely low homologous cases on BC40 dataset).
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Yawn, BP, DW Mapel, DM Mannino, F. Martinez, and AA Dalal. "Performance of a Brief, Self-Administered Questionnaire (Lung Function Questionnaire) To Identify Patients at Risk of Airflow Obstruction as Potential Candidates for Spirometry: Scoring and Cut Point." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a1476.

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Chu, Guanyi, Xiao Wang, Chuan Shi, and Xunqiang Jiang. "CuCo: Graph Representation with Curriculum Contrastive Learning." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/317.

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Graph-level representation learning is to learn low-dimensional representation for the entire graph, which has shown a large impact on real-world applications. Recently, limited by expensive labeled data, contrastive learning based graph-level representation learning attracts considerable attention. However, these methods mainly focus on graph augmentation for positive samples, while the effect of negative samples is less explored. In this paper, we study the impact of negative samples on learning graph-level representations, and a novel curriculum contrastive learning framework for self-supervised graph-level representation, called CuCo, is proposed. Specifically, we introduce four graph augmentation techniques to obtain the positive and negative samples, and utilize graph neural networks to learn their representations. Then a scoring function is proposed to sort negative samples from easy to hard and a pacing function is to automatically select the negative samples in each training procedure. Extensive experiments on fifteen graph classification real-world datasets, as well as the parameter analysis, well demonstrate that our proposed CuCo yields truly encouraging results in terms of performance on classification and convergence.
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