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Many previous causal inference studies require no interference, that is, the potential outcomes of a unit do not depend on the treatments of other units. However, this no-interference assumption becomes unreasonable when a unit interacts…

Methodology · Statistics 2018-12-24 Xinran Li , Peng Ding , Qian Lin , Dawei Yang , Jun S. Liu

Background: One of the most important current challenges of Software Engineering (SE) research is to provide relevant evidence to practice. In health related fields, Rapid Reviews (RRs) have shown to be an effective method to achieve that…

Software Engineering · Computer Science 2019-06-28 Bruno Cartaxo , Gustavo Pinto , Baldoino Fonseca , Márcio Ribeiro , Pedro Pinheiro , Sergio Soares , Maria Teresa Baldassarre

Does past performance influence success in grant applications? In this study we test whether the grant allocation decisions of the Netherlands Research Council for the Economic and Social Sciences correlate with the past performances of the…

Physics and Society · Physics 2009-11-09 Peter van den Besselaar , Loet Leydesdorff

Individual performance and reputation within a company are major factors that influence wage distribution, promotion and firing. Due to the complexity and collaborative nature of contemporary business processes, the evaluation of individual…

Social and Information Networks · Computer Science 2020-01-01 Sofia Dokuka , Ivan Zaikin , Kate Furman , Maksim Tsvetovat , Alex Furman

Conventional collaborative filtering techniques don't take into consideration the effect of discrepancy in users' rating perception. Some users may rarely give 5 stars to items while others almost always assign 5 stars to the chosen item.…

Information Retrieval · Computer Science 2022-05-11 Nikita Marin , Elizaveta Makhneva , Maria Lysyuk , Vladimir Chernyy , Ivan Oseledets , Evgeny Frolov

As performance gains through scaling data and/or model size experience diminishing returns, it is becoming increasingly popular to turn to ensembling, where the predictions of multiple models are combined to improve accuracy. In this paper,…

Machine Learning · Statistics 2024-11-04 Hyunsuk Kim , Liam Hodgkinson , Ryan Theisen , Michael W. Mahoney

Existing interpretation algorithms have found that, even deep models make the same and right predictions on the same image, they might rely on different sets of input features for classification. However, among these sets of features, some…

Machine Learning · Computer Science 2021-09-03 Xuhong Li , Haoyi Xiong , Siyu Huang , Shilei Ji , Dejing Dou

Accurately grading open-ended assignments in large or massive open online courses (MOOCs) is non-trivial. Peer review is a promising solution but can be unreliable due to few reviewers and an unevaluated review form. To date, no work has 1)…

Computers and Society · Computer Science 2021-08-24 Zachariah J. Beasley , Les A. Piegl , Paul Rosen

Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor,…

Computers and Society · Computer Science 2025-07-24 Marcus Messer , Neil C. C. Brown , Michael Kölling , Miaojing Shi

The "free rider" problem has long plagued pedagogies based on collaborative learning. The most common solution to the free rider problem is peer evaluation. As well other existing methods of peer evaluation include self-evaluation --- and…

History and Overview · Mathematics 2019-04-09 Fedor Duzhin

Peer review is crucial for advancing and improving science through constructive criticism. However, toxic feedback can discourage authors and hinder scientific progress. This work explores an important but underexplored area: detecting…

Computation and Language · Computer Science 2025-02-05 Man Luo , Bradley Peterson , Rafael Gan , Hari Ramalingame , Navya Gangrade , Ariadne Dimarogona , Imon Banerjee , Phillip Howard

Academic publishing requires solving a collective coordination problem: among thousands of possible publication venues, which deserve a community's attention? A clear consensus helps scholars allocate attention, match submissions to…

Digital Libraries · Computer Science 2026-03-03 Ian Van Buskirk , Marilena Hohmann , Ekaterina Landgren , Johan Ugander , Aaron Clauset , Daniel B. Larremore

Recent work in large language modeling (LLMs) has used fine-tuning to align outputs with the preferences of a prototypical user. This work assumes that human preferences are static and homogeneous across individuals, so that aligning to a a…

This paper studies preference aggregation under risk. In our model, each agent has an incomplete preference relation represented by a set of expected utility functions. The classical Pareto principle is silent on agreement involving…

Theoretical Economics · Economics 2026-01-06 Leo Kurata , Kensei Nakamura

As the final stage of recommender systems, re-ranking presents ordered item lists to users that best match their interests. It plays such a critical role and has become a trending research topic with much attention from both academia and…

Information Retrieval · Computer Science 2025-04-08 Qunwei Li , Linghui Li , Jianbin Lin , Wenliang Zhong

Background: When selecting predictive tools, for implementation in clinical practice or for recommendation in guidelines, clinicians are challenged with an overwhelming and ever-growing number of tools. Many of these have never been…

Computers and Society · Computer Science 2019-07-29 Mohamed Khalifa , Farah Magrabi , Blanca Gallego

There is widespread debate on whether to anonymize author identities in peer review. The key argument for anonymization is to mitigate bias, whereas arguments against anonymization posit various uses of author identities in the review…

Digital Libraries · Computer Science 2023-07-19 Nihar B. Shah

Effective peer assessment requires students to be attentive to the deficiencies in the work they rate. Thus, their reviews should identify problems. But what ways are there to check that they do? We attempt to automate the process of…

Classification and differentiation of small pathological objects may greatly vary among human raters due to differences in training, expertise and their consistency over time. In a radiological setting, objects commonly have high…

Pairwise comparisons are a well-known method for the representation of the subjective preferences of a decision maker. Evaluating their inconsistency has been a widely studied and discussed topic and several indices have been proposed in…

Artificial Intelligence · Computer Science 2014-12-25 Matteo Brunelli , Michele Fedrizzi