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The Role of Implicit Attitudes in Structuring Perceived Candidate Images in Televised Debates.

Johann, D., Thomas, K., & Smith, C. T. (2018).
The Role of Implicit Attitudes in Structuring Perceived Candidate Images in Televised Debates. Politische Psychologie/Journal of Political Psychology, 6(1).

Nicht-monetäre Bildungserträge und soziale Ungleichheit.

Carstensen, J., & Grüttner, M. (2018).
Nicht-monetäre Bildungserträge und soziale Ungleichheit. Sozialer Fortschritt, 67(4), 229-248.

Editorial.

Carstensen, J., & Grüttner, M. (2018).
Editorial. Sozialer Fortschritt, 67(4), 227-228.

Ausbildungs(in)adäquanz als Mediator von Bildungserträgen – Unterwertige Beschäftigung und soziale Ungleichheit: Ein Forschungsüberblick.

Kracke, N. (2018).
Ausbildungs(in)adäquanz als Mediator von Bildungserträgen – Unterwertige Beschäftigung und soziale Ungleichheit: Ein Forschungsüberblick. Sozialer Fortschritt 67(4), 283-301.

Same objectives, different governance – How the Excellence Initiative and the Pact for Research and Innovation affect the German science system.

Möller, T. (2018).
Same objectives, different governance – How the Excellence Initiative and the Pact for Research and Innovation affect the German science system. Journal for Research and Technology Policy Evaluation, 45, 4-8.

Der nachschulische Werdegang von Studienberechtigten - Ergebnisse des DZHW-Studienberechtigtenpanels.

Mentges, H., & Renneberg, A. (2018).
Der nachschulische Werdegang von Studienberechtigten - Ergebnisse des DZHW-Studienberechtigtenpanels. In Bundesinstitut für Berufsbildung (Hrsg.), Datenreport zum Berufsbildungsbericht 2018. Informationen und Analysen zur Entwicklung der beruflichen Bildung (S. 256-263). Leverkusen: Verlag Barbara Budrich.
ISBN 978-3-96208-061-7

Need for Support or Economic Competition? Implicit Associations with Immigrants during the 2015 Migrant Crisis.

Johann, D., & Thomas, K. (2018).
Need for Support or Economic Competition? Implicit Associations with Immigrants during the 2015 Migrant Crisis. Research & Politics, 5(2).

Data measurement in research information systems: metrics for the evaluation of data quality.

Azeroual, O., Saake, G., & Wastl, J. (2018).
Data measurement in research information systems: metrics for the evaluation of data quality. Scientometrics, 4/2018, 1-20.

The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study.

Azeroual, O., & Theel, H. (2018).
The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study. International Journal of Management Science and Business Administration, 3/2018, 34-45.

Analyzing data quality issues in research information systems via data profiling.

Azeroual, O., Saake, G., & Schallehn, E. (2018).
Analyzing data quality issues in research information systems via data profiling. International Journal of Information Management, 4/2018, 50-56.

Karriere mit Promotion. Zur Situation Promovierter innerhalb und außerhalb der Wissenschaft.

Briedis, K. (2018).
Karriere mit Promotion. Zur Situation Promovierter innerhalb und außerhalb der Wissenschaft. Forschung und Lehre 25(4), 306-307.

Funding model and creativity in science: Competitive versus block funding and status contingency effects.

Wang, J., Lee, Y., & Walsh, J. P. (2018).
Funding model and creativity in science: Competitive versus block funding and status contingency effects. Research Policy, 47(6), 1070-1083.

Ausmaß, Entwicklung und Ursachen sozialer Ungleichheit beim Promotionszugang zwischen 1989-2009.

Jaksztat, S., & Lörz, M. (2018).
Ausmaß, Entwicklung und Ursachen sozialer Ungleichheit beim Promotionszugang zwischen 1989-2009. Zeitschrift für Soziologie 47, 46–64.

Excellence and Frontier Research as Travelling Concepts in Science Policymaking.

Flink, T., & Peter, T. (2018).
Excellence and Frontier Research as Travelling Concepts in Science Policymaking. Minerva, 56(4), 431-452.

A conceptual framework for clone detection using machine learning.

Ghofrani, J., Mohseni M., & Bozorgmehr, A. (2018).
A conceptual framework for clone detection using machine learning. 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI).
Abstract

Code clones can happen in any software project. One of the challenges is that, code clones come in various forms which makes them hard to detect using standard templates. Due to this variety in structure and form of semantically similar clones, machine learning techniques are required to detect them. Recently in many domains, e.g., natural language processing, deep neural networks drew a lot of attention due to their accuracy. In this paper, we exploit the results of some convolutional neural networks for code summarization to find the code clones. We use the generated descriptions for two code snippets as a metric to measure the similarities between them. We propose a vector similarity measure to calculate a similarity indicator between th

Contact

Anja Gottburgsen
Dr. Anja Gottburgsen +49 511 450670-912