26 papers · ranked by Valyu relevance
George Waddell, Rosie Perkins, Aaron Williamon
A growing body of work has examined the act of evaluating the quality of a musical performance. This article considers the domain of training evaluative skills in musicians, presenting assessment as a form of performance to be taught and demonstrating a gap in opportunities for trainees to develop evaluative skills…
Lucylynn Lizarondo, Karen Grimmer, Saravana Kumar
Background Performance evaluation raises several challenges to allied health practitioners and there is no agreed approach to measuring or monitoring allied health service performance. The aim of this review was to examine the literature on performance evaluation in healthcare to assist in the establishment of a…
Zheng Li, Liam O’Brien, Maria Kihl
Software engineering considers performance evaluation to be one of the key portions of software quality assurance. Unfortunately, there seems to be a lack of standard methodologies for performance evaluation even in the scope of experimental computer science. Inspired by the concept of "instantiation" in…
Sofia Dokuka, Ivan Zaikin, Kate Furman, Maksim Tsvetovat + 1 more
'Alex Furman'] 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 impact in the majority of organizations is an ambiguous and…
G Meenakshi
In Multi-Source Feedback or 360 Degree Feedback, data on the performance of an individual are collected systematically from a number of stakeholders and are used for improving performance. The 360-Degree Feedback approach provides a consistent management philosophy meeting the criterion outlined previously. The…
Nádia Moura, Pedro Dias, Lurdes Veríssimo, Patrícia Oliveira-Silva + 1 more
Assessment is a crucial aspect of music performance. In pedagogical contexts, an effective assessment process can measure student achievement and inform instructional decisions that contribute to improving teaching and learning. However, music performance assessment is particularly challenging due to its inherent…
Jianfeng Zhan, Lei Wang, Wanling Gao, Hongxiao Li + 9 more
'Yunyou Huang' 'Yatao Li' 'Zhengxin Yang' 'Guoxin Kang' 'Chunjie Luo' 'Hainan Ye' 'Shaopeng Dai' 'Zhifei Zhang'] Evaluation is a crucial aspect of human existence and plays a vital role in various fields. However, it is often approached in an empirical and ad-hoc manner, lacking consensus on universal concepts…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
José Hernández‐Orallo
Artificial intelligence develops techniques and systems whose performance must be evaluated on a regular basis in order to certify and foster progress in the discipline. We will describe and critically assess the different ways AI systems are evaluated. We first focus on the traditional task-oriented evaluation…
R. Frömer, M.R. Nassar, R. Bruckner, B. Stürmer + 2 more
Influential theories emphasize the importance of predictions in learning: we learn from feedback to the extent that it is surprising, and thus conveys new information. Here we explore the hypothesis that surprise depends not only on comparing current events to past experience, but also on online evaluation of…
Anne E. Leak, Lubella A. Lenaburg, Elizabeth Sciaky, M. Ofelia Aguirre Paden
Faculty who are interested in leading grants, education and outreach projects, and other initiatives need evidence to make data-based decisions and demonstrate successes. Evaluations are essential for supporting these efforts and are often required to obtain funding. In fact, a strong evaluation plan within a proposal…
Lucas D. Crosby, Gabriela Rozanski, Mira Browne, Avril Mansfield + 1 more
The ability to self-evaluate motor performance or estimate performance errors is beneficial for motor learning or relearning in the context of neurologic injury. Some evidence suggests those with injury like stroke may be unable to accurately self-evaluate their performance; however, it is unclear if individuals who…
Ilya Plyusnin, Liisa Holm, Petri Törönen
GO classifiers and other methods for automatic annotations of novel sequences play an important role in modern biosciences. It is thus important to assess the quality of different GO classifiers. Evaluation of GO classifiers depends heavily on the used evaluation metrics. Still, there has been little research on the…
Daniel P. Kidder, Leslie A. Fierro, Elena Luna, Heather Salvaggio + 122 more
'Amanda McWhorter' 'Shelly-Ann Bowen' 'Rebecca Murphy-Hoefer' 'Sally Thigpen' 'Dayna Alexander' 'Theresa L. Armstead' 'Euna August' 'Destiny Bruce' 'Seseni Nu Clarke' 'Cassandra Davis' 'Amia Downes' 'Sarah Gill' 'L. Duane House' 'Michael Kerzner' 'Karen Kun' 'Karen Mumford' 'Leah Robin' 'Dara Schlueter' 'Michael…
Authors not listed
This paper presents an empirical comparison of process control algorithms, with particular emphasis on classical Proportional–Integral–Derivative (PID) control, Model Predictive Control (MPC), and neural network-based methods in the context of complex industrial plants. Since industrial sectors frequently demand…
Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao
Assessing performance is never purely objective. Some subjective judgement is almost always involved, especially in evaluating the performance of creative workers. Traditionally, performance assessment uses a "top-down" system in which supervisors assess their subordinates [16]. However, since information of a specific…
Dawn Buffington Townsend, Kevin J. Brothers, Gregory S. MacDuff, Amanda Freeman + 9 more
'Amanda Freeman' 'Christine Fry' 'Eric Rozenblat' 'Donna DeFeo' 'Anna Budzinska' 'Iwona Ruta-Sominka' 'Binyamin Birkan' 'Laura J. Hall' 'Patricia J. Krantz' 'Lynn E. McClannahan'] Promoting excellence in autism intervention is arguably more urgent than ever for the field of applied behavior analysis. To fulfill this…
Catherine Kelly
Theoretical and empirical contributions to research on evaluation have advanced our understanding of how values influence evaluation practice. Yet rather than understand how values shape evaluation and its use, research on the evaluation of widening participation (WP) programmes delivered by English higher education…
Authors not listed
The identification of kinetically feasible reaction pathways that connect a reactant to its product, including numerous intermediates and transition states, is crucial for predicting chemical reactions and elucidating reaction mechanisms. However, as molecular systems become increasingly complex or larger, the number…
Authors not listed
The effectiveness of machine learning (ML) in drug discovery hinges on evaluation and modeling approaches that align with how compounds are tested and compared in real experimental contexts. We observe that experimental data in public repositories like ChEMBL naturally clusters by assay origin, while retaining…
Kate L. Higgins, Heather C. Bouchard, Julia E. Maietta, Julia M. Laing + 1 more
Baseline cognitive testing is important for sport concussion management. Assessing performance validity during baseline testing is vital to ensure an athlete provides best effort. Stand-alone performance validity tests and embedded validity indicators (collectively called “effort measures” hereafter) are commonly used.…
Authors not listed
Proteochemometric models (PCM) are used in computational drug discovery to leverage both protein and ligand representations for bioactivity prediction. While machine learning (ML) and deep learning (DL) have come to dominate PCMs, often serving as scoring functions, rigorous evaluation standards have not always been…
Maria H. Rasmussen, Chenru Duan, Heather J. Kulik, Jan Halborg Jensen
With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the model predictions naturally arises. Several methods for obtaining uncertainty estimates have been proposed in recent years but consensus on the evaluation of these have yet…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Esteban Morales, Erin McKiernan, Meredith T. Niles, Lesley Schimanski + 1 more
Despite the calls for change, there is significant consensus that when it comes to evaluating publications, review, promotion, and tenure processes should aim to reward research that is of high “quality,” has an “impact,” and is published in “prestigious” journals. Nevertheless, such terms are highly subjective and…
Masato Ito, Toru Takahashi, Yuto Kurihara, Rieko Osu
In this research to assess emotions from biometric signals, participants are asked to evaluate the emotions they subjectively experienced in order to confirm whether the assumed emotions were actually elicited. However, the evaluation of emotions is not routinely performed in daily life, and it is possible that this…