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By organizing knowledge within a research field, Systematic Reviews (SR) provide valuable leads to steer research.
Text categorization with Support Vector Machines: Learning with many relevant features. In Machine Learning: ECML-98 (LNAI, Vol. 1398) . Springer, 137–142
Thorsten Joachims. 1998 · 1998
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Statistical methods for rates and proportions (3 ed.)
Joseph L Fleiss, Bruce Levin, and Myunghee Cho Paik. 2003 · 2003
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Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In Proceedings of the Twentieth International Conference on International Conference on Machine Learning (ICML’03) . AAAI Press, 616–623
Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, and David R. Karger. 2003 · 2003
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Evidence-based software engineering. In Proceedings. 26th International Conference on Software Engineering . 273–281
B.A. Kitchenham, T. Dyba, and M. Jorgensen. 2004 · 2004
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Reducing Workload in Systematic Review Preparation Using Automated Citation Classification
A. M. Cohen, W. R. Hersh, K. Peterson, and Po-Yin Yen. 2006 · 2006
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Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. In AI 2006: Advances in Artificial Intelligence . Springer Berlin Heidelberg, Berlin, Heidelberg, 1015–1021
Marina Sokolova, Nathalie Japkowicz, and Stan Szpakowicz. 2006 · 2006
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Guidelines for performing Systematic Literature Reviews in Software Engineering
Barbara Ann Kitchenham and Stuart Charters. 2007 · 2007
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Automatically countering imbalance and its empirical relationship to cost
Nitesh V Chawla, David A Cieslak, Lawrence O Hall, and Ajay Joshi. 2008 · 2008
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Logistic Regression
Michael P. LaValley. 2008 · 2008
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Facilitating biomedical systematic reviews using ranked text retrieval and classification. In Australasian Document Computing Symposium . ADCS, 53–60
David Martinez, Sarvnaz Karimi, Lawrence Cavedon, and Timothy Baldwin. 2008 · 2008
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Active learning literature survey
Burr Settles. 2009 · 2009
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Expediting systematic reviews: methods and implications of rapid reviews
Rebecca Ganann, Donna Ciliska, and Helen Thomas. 2010 · 2010
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A new algorithm for reducing the workload of experts in performing systematic reviews
Stan Matwin, Alexandre Kouznetsov, Diana Inkpen, Oana Frunza, and Peter O’Blenis. 2010 · 2010
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Empirical Standards for Software Engineering Research
Paul et al. Ralph. 2021 · 2010
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Semi-automated screening of biomedical citations for systematic reviews
Byron C Wallace, Thomas A Trikalinos, Joseph Lau, Carla Brodley, and Christopher H Schmid. 2010 · 2010
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Scikit-learn: Machine learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al · 2011
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Random Search for Hyper-Parameter Optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
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The benefits and challenges of using systematic reviews in international development research
Richard Mallett, Jessica Hagen-Zanker, Rachel Slater, and Maren Duvendack. 2012 · 2012
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Deploying an Interactive Machine Learning System in an Evidence-Based Practice Center: Abstrackr. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI’12) . ACM, 819–824
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, and Thomas A. Trikalinos. 2012 · 2012
Earlier work this paper cites.
Evaluation Measures for Models Assessment over Imbalanced Data Sets
Mohamed Bekkar, Hassiba Kheliouane Djemaa, and Taklit Akrouf Alitouche. 2013 · 2013
Earlier work this paper cites.
Distributed Representations of Words and Phrases and their Compositionality. In Advances in Neural Information Processing Systems , Vol. 26. Curran Associates, Inc
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Distributed Representations of Sentences and Documents. In International Conference on Machine Learning , Vol. 32. PMLR, 1188–1196
Quoc Le and Tomas Mikolov. 2014 · 2014
Cited alongside, same era.
Reducing systematic review workload through certainty-based screening
Makoto Miwa, James Thomas, Alison O’Mara-Eves, and Sophia Ananiadou. 2014 · 2014
Cited alongside, same era.
Systematic review automation technologies
Guy Tsafnat, Paul Glasziou, Miew Keen Choong, Adam Dunn, Filippo Galgani, and Enrico Coiera. 2014 · 2014
Cited alongside, same era.
Automating data extraction in systematic reviews: a systematic review
Siddhartha R Jonnalagadda, Pawan Goyal, and Mark D Huffman. 2015 · 2015
Cited alongside, same era.
Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry
Rohit Borah, Andrew W Brown, Patrice L Capers, and Kathryn A Kaiser. 2017 · 2016
Cited alongside, same era.
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang, Quanming Yao, James T. Kwok, and Lionel M. Ni. 2020 · 2020
Later among the works it cites.
Multi-paradigm modeling for cyber-physical systems: A systematic mapping review
Ankica Barišić, Ivan Ruchkin, Dušan Savić, Mustafa Abshir Mohamed, Rima Al-Ali, Letitia W. Li, Hana Mkaouar, Raheleh Eslampanah, Moharram Challenger, Dominique Blouin, Oksana Nikiforova, and Antonio Cicchetti. 2022 · 2021
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Collaborative Model-Driven Software Engineering: A Systematic Update. In 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) . 273–284
Istvan David, Kousar Aslam, Sogol Faridmoayer, Ivano Malavolta, Eugene Syriani, and Patricia Lago. 2021 · 2021
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Chapter Three - The screening phase in systematic reviews: Can we speed up the process?
Igor Rozanc and Marjan Mernik. 2021 · 2021
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An open source machine learning framework for efficient and transparent systematic reviews
Rens van de Schoot, Jonathan De Bruin, Raoul Schram, Parisa Zahedi, Jan De Boer, Felix Weijdema, Bianca Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands, Albert Harkema, Joukje Willemsen, Yongchao Ma, Qixiang Fang, Sybren Hindriks, Lars Tummers, and Daniel L Oberski. 2021 · 2021
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Learning to identify relevant studies for systematic reviews using random forest and external information
Madian Khabsa, Ahmed Elmagarmid, Ihab Ilyas, Hossam Hammady, and Mourad Ouzzani. 2016 · 2016
Cited alongside, same era.
Vision for SLR tooling infrastructure: Prioritizing value-added requirements
Ahmed Al-Zubidy, Jeffrey C Carver, David P Hale, and Edgar E Hassler. 2017 · 2017
Cited alongside, same era.
FP-ABC: Fuzzy-Pareto dominance driven artificial bee colony algorithm for many-objective software module clustering
Amarjeet and Jitender Kumar Chhabra. 2018 · 2017
Cited alongside, same era.
Computer Science Papers in Web of Science: A Bibliometric Analysis
Dalibor Fiala and Gabriel Tutoky. 2017 · 2017
Cited alongside, same era.
Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews
Xiaonan Ji, Alan Ritter, and Po-Yin Yen. 2017 · 2017
Cited alongside, same era.
Bayesian Multinomial Naïve Bayes Classifier to Text Classification. In Advanced Multimedia and Ubiquitous Engineering . Springer Singapore, Singapore, 347–352
Shuo Xu, Yan Li, and Zheng Wang. 2017 · 2017
Cited alongside, same era.
Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield’s Approach to CLEF eHealth 2018 Task 2. In Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum , Vol. 2125. CEUR-WS.org
Amal Alharbi, William Briggs, and Mark Stevenson. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Automation of systematic literature reviews: A systematic literature review
Raymon van Dinter, Bedir Tekinerdogan, and Cagatay Catal. 2021 · 2021
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PARMOREL: a framework for customizable model repair
Angela Barriga, Rogardt Heldal, Adrian Rutle, and Ludovico Iovino. 2022 · 2022
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Modelling on mobile devices
Léa Brunschwig, Esther Guerra, and Juan de Lara. 2022 · 2022
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Holistic Evaluation of Language Models
Percy Liang et al · 2022
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Paving the Way for Mature Secondary Research: The Seven Types of Literature Review. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 1632–1636
Paul Ralph and Sebastian Baltes. 2022 · 2022
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Potential Use of Chat GPT in Global Warming
Som S. Biswas. 2023a · 2023
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Role of Chat GPT in Public Health
Som S. Biswas. 2023b · 2023
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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Davide Chicco and Guiseppe Jurman. 2023 · 2023
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An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews
Wojciech Kusa, Aldo Lipani, Petr Knoth, and Allan Hanbury. 2023 · 2023
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On the Reliability of the Area Under the ROC Curve in Empirical Software Engineering. In International Conference on Evaluation and Assessment in Software Engineering . ACM, 93–100
Luigi Lavazza, Sandro Morasca, and Gabriele Rotoloni. 2023 · 2023
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Pre-Train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023 · 2023
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What Will the United States Look Like in 2050? A Chatgpt Short Story
Robert W. McGee. 2023 · 2023
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Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Shuai Wang, Harrisen Scells, Bevan Koopman, and Guido Zuccon. 2023 · 2023
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Conducting Systematic Literature Reviews with ChatGPT. (mar 2023)
Muhammad Waseem, Aakash Ahmad, Peng Liang, Mahdi Fehmideh, Pekka Abrahamsson, and Tommi Mikkonen. 2023 · 2023
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A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, and Lichao Sun. 2023 · 2023
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