Relevant bibliographies by topics / Discrimination neuronale

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Discrimination neuronale'

Author: Grafiati
Published: 21 December 2024

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Journal articles on the topic "Discrimination neuronale"

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Deng, Yingchun, Peter Williams, Feng Liu, and Jianfeng Feng. "Neuronal discrimination capacity." Journal of Physics A: Mathematical and General 36, no. 50 (2003): 12379–98. http://dx.doi.org/10.1088/0305-4470/36/50/003.

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Smith, Jackson E. T., and Andrew J. Parker. "Correlated structure of neuronal firing in macaque visual cortex limits information for binocular depth discrimination." Journal of Neurophysiology 126, no. 1 (2021): 275–303. http://dx.doi.org/10.1152/jn.00667.2020.

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Correlated noise reduces the stimulus information in visual cortical neurons during experimental performance of binocular depth discriminations. The temporal scale of these correlations is important. Rapid (20–30 ms) correlations reduce information within and between areas V1 and V4, whereas slow (>100 ms) correlations between areas do not. Separate cortical areas appear to act together to maintain signal fidelity. Rapid correlations reduce the neuronal signal difference between stimuli and adversely affect perceptual discrimination.
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Spitzer, H., R. Desimone, and J. Moran. "Increased attention enhances both behavioral and neuronal performance." Science 240, no. 4850 (1988): 338–40. http://dx.doi.org/10.1126/science.3353728.

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Single cells were recorded from cortical area V4 of two rhesus monkeys (Macaca mulatta) trained on a visual discrimination task with two levels of difficulty. Behavioral evidence indicated that the monkeys' discriminative abilities improved when the task was made more difficult. Correspondingly, neuronal responses to stimuli became larger and more selective in the difficult task. A control experiment demonstrated that changes in general arousal could not account for the effects of task difficulty on neuronal responses. It is concluded that increasing the amount of attention directed toward a s
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MERIGAN, WILLIAM H. "Cortical area V4 is critical for certain texture discriminations, but this effect is not dependent on attention." Visual Neuroscience 17, no. 6 (2000): 949–58. http://dx.doi.org/10.1017/s095252380017614x.

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This study examined the question of which features of a complex grouping discrimination make it vulnerable to permanent elimination by V4 lesions. We first verified that the line element grouping discrimination, which we previously reported to be devastated by V4 lesions, was similarly affected in the monkeys of this study. The permanence of the deficit was established by mapping its visual field distribution and then testing this discrimination for an extended period at a locus on the border of the deficit. Also, a staircase procedure was used to provide the monkey with within session instruc
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Boynton, Geoffrey M., Jonathan B. Demb, Gary H. Glover, and David J. Heeger. "Neuronal basis of contrast discrimination." Vision Research 39, no. 2 (1999): 257–69. http://dx.doi.org/10.1016/s0042-6989(98)00113-8.

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Arabzadeh, Ehsan, Colin W. G. Clifford, Justin A. Harris, David A. Mahns, Vaughan G. Macefield, and Ingvars Birznieks. "Single tactile afferents outperform human subjects in a vibrotactile intensity discrimination task." Journal of Neurophysiology 112, no. 10 (2014): 2382–87. http://dx.doi.org/10.1152/jn.00482.2014.

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We simultaneously compared the sensitivity of single primary afferent neurons supplying the glabrous skin of the hand and the psychophysical amplitude discrimination thresholds in human subjects for a set of vibrotactile stimuli delivered to the receptive field. All recorded afferents had a dynamic range narrower than the range of amplitudes across which the subjects could discriminate. However, when the vibration amplitude was chosen to be within the steepest part of the afferent's stimulus-response function the response of single afferents, defined as the spike count over the vibration durat
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Sanders, Teresa H., Mark A. Clements, and Thomas Wichmann. "Parkinsonism-related features of neuronal discharge in primates." Journal of Neurophysiology 110, no. 3 (2013): 720–31. http://dx.doi.org/10.1152/jn.00672.2012.

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Parkinson's disease is known to be associated with abnormal electrical spiking activities of basal ganglia neurons, including changes in firing rate, bursting activities and oscillatory firing patterns and changes in entropy. We explored the relative importance of these measures through optimal feature selection and discrimination analysis methods. We identified key characteristics of basal ganglia activity that predicted whether the neurons were recorded in the normal or parkinsonian state. Starting with 29 features extracted from the spike timing of neurons recorded in normal and parkinsonia
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Spencer, K., and P. Carpenter. "Neurone Specific Enolase in Amniotic Fluid: A Potential Marker of Anencephaly." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 25, no. 1 (1988): 85–88. http://dx.doi.org/10.1177/000456328802500112.

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Normal values for neurone specific enolase in amniotic fluid have been found to follow a non gaussian distribution with a 1–99 centile range of 1·10–4·32 μg/L. Neurone specific enolase levels have been shown to be raised in the amniotic fluid of pregnancies complicated by anencephaly, although not those complicated by open spina bifida. Neurone specific enolase measured by radioimmunoassay is capable of totally discriminating between normal pregnancies and those complicated by anencephaly. The study demonstrates the possible value of investigating other neuronal proteins which may find value a
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Heuer, Hilary W., and Kenneth H. Britten. "Optic Flow Signals in Extrastriate Area MST: Comparison of Perceptual and Neuronal Sensitivity." Journal of Neurophysiology 91, no. 3 (2004): 1314–26. http://dx.doi.org/10.1152/jn.00637.2003.

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The medial superior temporal area of extrastriate cortex (MST) contains signals selective for nonuniform patterns of motion often termed “optic flow.” The presence of such tuning, however, does not necessarily imply involvement in perception. To quantify the relationship between these selective neuronal signals and the perception of optic flow, we designed a discrimination task that allowed us to simultaneously record neuronal and behavioral sensitivities to near-threshold optic flow stimuli tailored to MST cells' preferences. In this two-alternative forced-choice task, we controlled the salie
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Li, Wu, Peter Thier, and Christian Wehrhahn. "Contextual Influence on Orientation Discrimination of Humans and Responses of Neurons in V1 of Alert Monkeys." Journal of Neurophysiology 83, no. 2 (2000): 941–54. http://dx.doi.org/10.1152/jn.2000.83.2.941.

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We studied the effects of various patterns as contextual stimuli on human orientation discrimination, and on responses of neurons in V1 of alert monkeys. When a target line is presented along with various contextual stimuli (masks), human orientation discrimination is impaired. For most V1 neurons, responses elicited by a line in the receptive field (RF) center are suppressed by these contextual patterns. Orientation discrimination thresholds of human observers are elevated slightly when the target line is surrounded by orthogonal lines. For randomly oriented lines, thresholds are elevated fur
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Dissertations / Theses on the topic "Discrimination neuronale"

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Ménardy, Fabien. "Reconnaissance des signaux de communication chez le diamant mandarin : étude des réponses des neurones d’une aire auditive secondaire." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA11T049/document.

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A l’heure actuelle, il reste largement à étudier comment le codage sensoriel des signaux vocaux de communication contribue à leur détection et à leur reconnaissance. Peu d’études se sont, en effet, penchées sur le codage des vocalisations au niveau des régions auditives en fonction de l’individu qui les produit et du degré de familiarité avec cet individu. Dans ce cadre, les oiseaux chanteurs sont un bon modèle parce qu’ils utilisent des vocalisations pour interagir et reconnaître leurs congénères et qu’ils possèdent, de plus, un ensemble de régions auditives. Parmi ces régions, le nidopallium
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Ortiz, Cantin. "Neuronal discrimination of visual environments differentially depends on behavioural context in the hippocampus and neocortex." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS311.

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Créer des souvenirs de son environnement est une aptitude fondamentale à la survie, pour trouver de la nourriture, un abri ou échapper à des prédateurs. Pour former des souvenirs spatiaux, il faut générer une carte mentale de l'espace, appelée carte cognitive. On pense que ces cartes apparaissent dans CA1, la couche de sortie de l'hippocampe, une région du cerveau cruciale pour former de nouveaux souvenirs épisodiques. Pour utiliser des souvenirs spatiaux, il faut savoir si un environnement a déjà été visité. Cela nécessite de différencier des environnements qui peuvent paraître similaires mai
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Ménardy, Fabien. "Reconnaissance des signaux de communication chez le diamant mandarin : étude des réponses des neurones d'une aire auditive secondaire." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00764923.

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A l'heure actuelle, il reste largement à étudier comment le codage sensoriel des signaux vocaux de communication contribue à leur détection et à leur reconnaissance. Peu d'études se sont, en effet, penchées sur le codage des vocalisations au niveau des régions auditives en fonction de l'individu qui les produit et du degré de familiarité avec cet individu. Dans ce cadre, les oiseaux chanteurs sont un bon modèle parce qu'ils utilisent des vocalisations pour interagir et reconnaître leurs congénères et qu'ils possèdent, de plus, un ensemble de régions auditives. Parmi ces régions, le nidopallium
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Alzaher, Mariam. "Mismatch negativity, un marqueur neuronal de la plasticité spatiale auditive chez les sujets sourds unilatéraux." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30253.

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Cette thèse évalue les différentes fonctions d'audition spatiale chez 3 types de populations : Normaux entendants (NE), sourds unilatéraux (SU) et sourds bilatéraux (SB). Afin de découvrir les mécanismes qui soulignent les stratégies spatio-auditives adaptative qui sont observés chez les SU avec surdité acquise. Le but principal de la thèse est de vérifier si la MMN pourrait être un marqueur neuronal de la plasticité spatiale auditive observée chez les patients SU, et de vérifier se les corrélats neuronaux sont cohérentes avec les performances spatiales auditives. Deux types d'investigations o
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Pernot, Etienne. "Choix d'un classifieur en discrimination." Paris 9, 1994. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1994PA090014.

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Dans cette thèse, nous nous posons le problème de la détermination du classifieur le plus adapté à résoudre un problème donné de discrimination. Le choix du classifieur est déjà guidé par des contraintes opérationnelles, mais au-delà de ces contraintes, et après que le classifieur a été configuré grâce à une base d'apprentissage, c'est le taux de généralisation du classifieur (ou taux de réussite) qui est le critère caractérisant sa performance. Ce taux, généralement inconnu, est estimé à l'aide d'une base de généralisation. Cette estimation dépend donc du problème de discrimination étudié, du
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Meisel, Joshua D. (Joshua Daniel). "The genetic, neuronal, and chemical basis for microbial discrimination in Caenorhabditis elegans." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104172.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Discrimination among pathogenic and beneficial microbes is essential for host organism immunity and homeostasis. Increasingly, the nervous system of animals is being recognized as an important site of bacterial recognition, but the molecular mechanisms underlying this process remain unclear. Chapter One discusses how the nematode Caenorhabditis elegans can be used to dissect the genetic and neuronal mechanisms that coordinate be
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Ahn, Sungwoo. "Transient and Attractor Dynamics in Models for Odor Discrimination." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970.

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Zhu, Wenhua. "Modèles statistiques et réseaux de neurones : stratégie et validation dans le cas de la discrimination." Paris 9, 1995. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1995PA090022.

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Cette thèse a abordé deux grands thèmes : analyse des données et réseau de neurones. Elle présente les principales méthodes de l'analyse discriminante et traite des aspects importants de ce domaine : procédure d'apprentissage, construction et validation de règle de décision, sélection du meilleur modèle, liaisons avec des réseaux de neurones multicouches. La thèse a développé certaines techniques pour améliorer la qualité de l'apprentissage et pour réduire la complexité du réseau de neurones<br>This thesis has accost two domains : data analysis and neural networks. It present the mains methods
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Dahlquist, Clara. "Somatosensory system; touch : Physiology and Neuronal Correlates of Discriminative and Affective Touch." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9718.

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This essay is about the somatosensory system, which is divided into different kinds of touch. Described briefly are the proprioceptive touch, which is transported to the brain via A-alfa fibers and transmits information about e. g. limb position and movement. The cutaneous touch is the main focus and it is divided into discriminative touch and affective touch. The first corresponds to stimuli such as vibration and pressure and is transported via A-beta axons. The second, affective touch, corresponds to e.g. painful and pleasant stimuli which are transported to the brain via A-delta and C-fiber
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Derosiere, Gérard. "Vers la discrimination des corrélats neuronaux des déficits d'attention : des Neurosciences Cognitives à l'Ingénierie Cognitive." Thesis, Montpellier 1, 2014. http://www.theses.fr/2014MON1T008/document.

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L'attention focalisée est une fonction cognitive de haut niveau permettant à l'Homme de faciliter sélectivement certaines actions et perceptions. Dans un monde regorgeant de choix d'actions, et de possibilités de perceptions, l'attention focalisée représente une composante vitale de la cognition humaine. Un constat important doit cependant être noté : l'Homme est incapable de maintenir indéfiniment un état stable d'attention focalisée. Cette incapacité est mise en évidence pendant les tâches d'attention soutenue par l'apparition progressive de déficiences sensori-motrices au cours du temps. L'
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Books on the topic "Discrimination neuronale"

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Clark, Kelsey L., Behrad Noudoost, Robert J. Schafer, and Tirin Moore. Neuronal Mechanisms of Attentional Control. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.010.

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Covert spatial attention prioritizes the processing of stimuli at a given peripheral location, away from the direction of gaze, and selectively enhances visual discrimination, speed of processing, contrast sensitivity, and spatial resolution at the attended location. While correlates of this type of attention, which are believed to underlie perceptual benefits, have been found in a variety of visual cortical areas, more recent observations suggest that these effects may originate from frontal and parietal areas. Evidence for a causal role in attention is especially robust for the Frontal Eye F
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Book chapters on the topic "Discrimination neuronale"

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Steinmetz, Michael A., Ranulfo Romo, and Vernon D. Mountcastle. "Cortical Neuronal Mechanisms for Frequency Discrimination in the Somesthetic Sense of Flutter." In Information Processing in the Somatosensory System. Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11597-6_21.

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Feng, Albert S., and Theodore H. Bullock. "Neuronal Mechanisms for Object Discrimination in the Weakly Electric Fish Eigenmannia Virescens." In How do Brains Work? Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-9427-3_25.

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Perez-Uribe, Andres, and Héctor F. Satizábal. "Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity." In Artificial Neural Networks and Machine Learning – ICANN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33269-2_26.

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THUNBERG, J., F. HELLSTRÖM, M. BERGENHEIM, J. PEDERSEN, and H. JOHANSSON. "NEURONAL CODING AND MOVEMENT DISCRIMINATION IN PROPRIOCEPTION." In Neuronal Coding Of Perceptual Systems. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811899_0021.

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N.S. Sampaio, Pedro, and Carla Brites. "Near-Infrared Spectroscopy and Machine Learning: Analysis and Classification Methods of Rice." In Rice [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99017.

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Nowadays, the conventional biochemical methods used to differentiate and characterize rice types, biochemical properties, authentication, and contamination issues are difficult to implement due to the high cost of reagents, time requirement and environmental issues. Actually, the success of agri-food technology is directly related to the quality of analysis of experimental data acquired by sensors or techniques such as the infrared-spectroscopy. To overcome these technical limitations, a rapid and non-destructive methodology for discrimination and classification of rice has been investigated. Near-infrared spectroscopy is considered as fast, clean, and non-destructive analytical tools and its spectra present significant biomolecular information that must be analysed by sophisticated methodologies. Machine learning plays an important role in the analysis of the spectral data being used several methods such as Partial Least Squares, Principal Component Analysis, Partial Least Squares-Discriminant Analysis, Support Vector Machine, Artificial Neuronal Network, among others which can successfully be applied for food classification and discrimination as well as in terms of authentication and contamination issues. The quality control of rice is extremely important at every stage of production, beginning with estimation of raw agricultural materials and monitoring their quality during storage, estimating food quality during the production process and of the final products as well as the determination of their authenticity and the detection of adulterants.
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Marrow, Jocelyn, and T. M. Luhrmann. "Conclusion." In Our Most Troubling Madness. University of California Press, 2016. http://dx.doi.org/10.1525/california/9780520291089.003.0014.

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Schizophrenia is a disorder with causes that are endogenous to the body including genetic vulnerability and the decay of neuronal connections. However, there is evidence that individual vulnerability to psychosis is increased by the experiences of discrimination, despair, trauma, and failure. Drawing upon epidemiology and animal biology, this chapter argues that repeated social defeat increases the risk of developing psychosis. Further, social defeat, especially in the United States, is a regular experience of those who who live with a serious mental illness. The case studies of persons with psychosis in this volume illustrate the social and cultural factors that may be responsible for outcomes. How psychosis is understood, whether available work can accommodate the ill individual, the type of family involvement, the social and cultural backdrop, and the meaning of symptoms are factors that mitigate or exacerbate illness. The final section of this chapter presents some recommendations for how the lives of those with psychosis might be improved.
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Fagan, Anne M. "Fluid Biomarkers for Alzheimer’s Disease." In Neurobiology of Mental Illness, edited by David M. Holtzman. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199934959.003.0063.

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Dementia due to Alzheimer’s disease (AD) is estimated to reach epidemic proportions by the year 2030. Given the limited accuracy of current clinical diagnosis, biomarkers of AD pathologies are being sought. Reductions in cerebrospinal fluid (CSF) levels of Aβ‎42 (marker of amyloid plaques) and elevations in tau species (markers of neurofibrillary tangles and/or neurodegeneration) are useful for AD diagnosis and prognosis. Novel CSF and plasma/serum biomarkers are being explored to aid in discriminating AD from non-AD neurodegenerative diseases andidentifying additional AD-related processes (e.g., neuroinflammation and early neuronal stress and dysfunction). Biomarkers are being considered for use in clinical trial design and inclusion in revised diagnostic criteria for research and clinical applications. Emphasis is on early (even ‘preclinical’) detection in order to identify and applytherapies that have the best chance of preserving normal cognitive function.
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Guzmán-Ramírez, Enrique, Ayax García, Esteban Guerrero-Ramírez, Antonio Orantes Molina, Oscar Ramírez, and Ignacio Arroyo. "Multi-object Recognition Using a Feature Descriptor and Neural Classifier." In Vision Sensors - Recent Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106754.

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In the field of object recognition, feature descriptors have proven to be able to provide accurate representations of objects facilitating the recognition task. In this sense, Histograms of Oriented Gradients (HOG), a descriptor that uses this approach, together with Support Vector Machines (SVM) have proven to be successful human detection methods. In this paper, we propose a scheme consisting of improved HOG and a classifier with a neural approach to producing a robust system for object recognition. The main contributions of this work are: First, we propose an improved gradient calculation that allows for better discrimination for the classifier system, which consists of performing a threshold over both the magnitude and direction of the gradients. This improvement reduces the rate of false positives. Second, although HOG is particularly suited for human detection, we demonstrate that it can be used to represent different objects accurately, and even perform well in multi-class applications. Third, we show that a classifier that uses a neuronal approach is an excellent complement to a HOG-based feature extractor. Finally, experimental results on the well-known Caltech 101 dataset illustrate the benefits of the proposed scheme.
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Funder, John W. "Hormones and receptors: fundamental considerations." In Oxford Textbook of Endocrinology and Diabetes. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199235292.003.1022.

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The original endocrine physiologists viewed hormones as responses to homoeostatic challenge, any signal a call to arms; the word is thus derived from the classical Greek ωρμαειν‎—‘to arouse’. In the twenty-first century a hormone is a molecule—small or large, protein or lipid—secreted in a regulated fashion from one organ and acting on another. The definition is firmly based on the anatomy of the seventeenth century, the histology of the nineteenth, and the physiology of the twentieth. It has been shaped by convention and clinical specialization: gut hormones are the marches between endocrinology and gastroenterology, and the adrenal medulla the territory of the cardiovascular physician. It has been refined by concepts of paracrine—where the secretion of one cell type in a tissue acts on another cell type in the same tissue—and autocrine, where a particular cell type both secretes and responds to a particular signal. Inherent in the concepts of paracrine and autocrine are that the signal is not secreted into blood or lymph, to be distributed more or less throughout the body, but is made locally to act locally. A very good example of a signalling system with both paracrine and autocrine activities is the neuronal synapse. Inherent in the concept of the signal is that of a receptor: a signal without a receptor is the sound of one hand clapping. Inherent in the concept of a receptor are two functions: that of being able to discriminate between different signals, and to propagate the signal by activating cell membrane or intracellular signal transduction pathways. Discrimination by a receptor between different circulating potential signals is, in the first instance, a function of the likelihood of a particular signal being able to interact with the receptor, for a period of time sufficient to alter the confirmation of the receptor and thus to trigger propagation. This interaction is commonly referred to as binding, and thus the circulating hormone as a ligand (that which is bound). If the structures of ligand and receptors are such that the initial interaction is followed by formation of strong intermolecular bonds between the two, lessening the possibility of dissociation and the receptor returning to an unliganded state, the receptor is said to have high affinity for the ligand (and vice versa). If the binding is followed by propagation of the ‘appropriate’ signal the ligand is classified as an agonist, or active hormone; if a molecule occupies the binding site on the receptor but does not so alter its structure as to propagate a signal, it is classified as a hormone antagonist (and often, by extension, a receptor antagonist). In the past couple of decades, the concepts of ‘agonist’ and ‘antagonist’ have needed to be refined, as noted subsequently in this chapter.
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Conference papers on the topic "Discrimination neuronale"

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Samavat, Mohammad, Dori Luli, and Sharon Crook. "Neuronal network models for sensory discrimination." In 2016 50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016. http://dx.doi.org/10.1109/acssc.2016.7869533.

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Goh, Aik, Stefan Craciun, Sudhir Rao, et al. "Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650196.

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Metcalfe, Benjamin, Daniel Chew, Chris Clarke, Nick Donaldson, and John Taylor. "An enhancement to velocity selective discrimination of neural recordings: Extraction of neuronal firing rates." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944528.

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Muresan, Denisa Bianca, Raluca-Dana Ciure, Eugen Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, and Mihaela Dins. "Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes." In 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2022. http://dx.doi.org/10.1109/iccp56966.2022.10053955.

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Castro-Silupu, Wilson, Monica Saavedra-Garcia, Himer Avila-George, Miguel De la Torre-Gomora, and Adriano Bruno-Tech. "Probabilistic or Convolutional-LSTM neuronal networks: a comparative study of discrimination capacity on frozen - thawed fish fillets." In 2022 11th International Conference On Software Process Improvement (CIMPS). IEEE, 2022. http://dx.doi.org/10.1109/cimps57786.2022.10035684.

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