20 papers · ranked by Valyu relevance
Nik Zatul-Iffah N. Mohd Nabil, Mohd Effendi Ewan Mohd Matore, Mohd Syazwan Zainal, Fucai Lin
Dyslexia is a specific learning difficulty marked by persistent challenges in reading accuracy, fluency, and word recognition despite adequate intelligence and instruction. In secondary schools, many cases remain unidentified due to the absence of screening instruments designed for older students. Early identification…
Izyan Hazwani Baharuddin, Nurhuda Ismail, Nyi Nyi Naing, Khalid Ibrahim + 2 more
Background The COVID-19 pandemic has led to fear, rumours, and stigma, particularly against those infected with the virus. In Malaysia, the manufacturing industry is particularly vulnerable to COVID-19 clusters, making it critical to assess stigma attitudes among workers. To address this issue, The Workplace COVID-19…
Ali Sharifara, Mohd Shafry Mohd Rahim, Farhad Navabifar, Dylan Ebert + 2 more
'Amir Ghaderi' 'Michalis Papakostas'] Face detection is one of the challenging tasks in computer vision. Human face detection plays an essential role in the first stage of face processing applications such as face recognition, face tracking, image database management, etc. In these applications, face objects often come…
Mohammad Ebrahim Katebi, Mohammad Hossein Ghafari, Tara Ghafari
Emotion recognition through facial expressions is crucial for interpreting social cues. However, it is often influenced by biases, i.e, systematic recognition advantages for particular emotions. Nevertheless, these biases are inconsistently reported across studies, likely due to methodological variations which…
James D. Dunn, Stephanie Summersby, Alice Towler, Josh P. Davis + 2 more
'David White' 'Peter James Hills'] We present a new test-the UNSW Face Test ([www.unswfacetest.com]())-that has been specifically designed to screen for super-recognizers in large online cohorts and is available free for scientific use. Super-recognizers are people that demonstrate sustained performance in the very top…
Mohammad Ebrahim Katebi, Mohammad Hossein Ghafari, Tara Ghafari
Emotion recognition through facial expressions is crucial for interpreting social cues. However, it is often influenced by biases, i.e., systematic recognition advantages for particular emotions. Nevertheless, these biases are inconsistently reported across studies, likely due to methodological variations which…
Jeremy J. Tree, Alex L. Jones, Robin S. S. Kramer
In a key study, Megreya and Burton (Memory & Cognition, 34, 865-876, [55]) argued that identity-matching tasks using unfamiliar faces may not effectively measure general ‘real-world’ face-processing ability - that is they are “not faces”. They observed a high correlation in performance between upright and inverted…
Jeanne Bovet, Arnaud Tognetti, Thomas V. Pollet
The goal of the majority of behavioural research is to draw conclusions about a specific population of individuals by examining a sample of individuals from this population (Simons et al., ). Scientists should thus seek the largest and most representative samples they can achieve in order to increase the confidence of…
Timon Elmer, Krishna Chaitanya, Prateek Purwar, Christoph Stadtfeld
Face-to-face interactions are important for a variety of individual behaviors and outcomes. In recent years a number of human sensor technologies have been proposed to incorporate direct observations in behavioral studies of face-to-face interactions. One of the most promising emerging technologies are active Radio…
Jiayu Zhan, Oliver G. B. Garrod, Nicola van Rijsbergen, Philippe G. Schyns
In the sciences of cognition, an influential idea is that the brain makes predictions about incoming sensory information to reduce inherent ambiguity. In the visual hierarchy, this implies that information content originating in memory–the identity of a face–propagates down to disambiguate incoming stimulus…
Carmine Gnolo, Mario Senden, Alessandro Grillini, Frans W. Cornelissen + 1 more
The global geometrical arrangement of face parts (eyes over nose over mouth), commonly referred to as first order configural (FOC) properties, is believed to constitute a fundamental aspect of face detection. Indeed, several brain regions in the face processing network have been shown to display increased activity in…
Lucas Gren
Most reviewers and authors in the behavioral soware engineering research eld, base their concept of validity on two publications, namely Wohlin et al. [20] and Runeson and Host ¨ [19]. While I highly appreciate the authors' work in these publications, I am afraid the four categories of validity threats promoted for…
Daniel Sáez-Trigueros, Li Meng, Margaret Hartnett
—Starting in the seventies, face recognition has become one of the most researched topics in computer vision and biometrics. Traditional methods based on hand-crafted features and traditional machine learning techniques have recently been superseded by deep neural networks trained with very large datasets. In this…
Divyarajsinh N. Parmar, Brijesh B. Mehta
- Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices, University, ATM, Bank and in any locations with a security system. Face recognition is…
Annie Morsi, Valerie Goffaux, John A. Greenwood
Visual abilities tend to vary predictably across the visual field – for simple low-level stimuli, visibility is better along the horizontal vs. vertical meridian and in the lower vs. upper visual field. In contrast, face-recognition abilities have been reported to show either distinct or entirely idiosyncratic…
Victor H. R. Nogueira, Rishabh Sharma, Rafael V. C. Guido, Michael J. Keiser
As efforts to improve the robustness of molecular representations advance, so does the need for methods to test and validate them. We use a Variational Auto-Encoder (VAE), an unsupervised deep learning model, to generate anomalous samples of a well-known molecular string format called SELF-referencIng Embedded Strings…
Eilidh Noyes, Alice J. O’Toole
The purpose of this paper is to provide a brief overview of nine assessments of face processing skills. These tests have been used commonly in recent years to gauge the skills of perspective 'super-recognisers' with respect to the general population. In the literature, a person has been considered to be a…
Authors not listed
Tandem mass spectrometry (MS/MS) fragmentation is conventionally understood as stochastic bond cleavage determined by thermochemical bond strengths and collision energies. We demonstrate that fragmentation is a deterministic categorical state progression governed by phase-lock network topology, where fragment…
K. Larsen, R. Lukyanenko, Roland M. Mueller, V. Storey + 3 more
Researchers must ensure that the claims about the knowledge produced by their work are valid. However, validity is neither well-understood nor consistently established in design science, which involves the development and evaluation of artifacts (models, methods, instantiations, and theories) to solve problems. As a…
Linda Henriksson, Marieke Mur, Nikolaus Kriegeskorte
The occipital face area (OFA) and fusiform face area (FFA) are brain regions thought to be specialized for face perception. However, their intrinsic functional organization and status as cortical areas with well-defined boundaries remains unclear. Here we test these regions for “faciotopy”, a particular hypothesis…