Results for 'classification'

314 found
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  1. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...)
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  2. Mango Classification Using Deep Learning.Alaa Soliman Abu Mettleq, Ibtesam M. Dheir, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):22-29.
    Abstract: In worldwide, there are several hundred cultivars of mango. Depending on the cultivar, mango fruit varies in size, shape, sweetness, skin color, and flesh color which may be pale yellow, gold, or orange. Where there are more than 15 types of manga. In this paper, two types Mango classification approach is presented with a dataset that contains approximately 1200 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. (...)
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  3. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 (...)
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  4.  52
    Causal Classification of Diseases.Andrej Poleev - 2020 - Enzymes 18.
    „Errors are the greatest obstacles to the progress of science; to correct such errors is of more practical value than to achieve new knowledge,“ asserted Eugen Bleuler. Basic error of several prevailing classification schemes of pathological conditions, as for example ICD-10, lies in confusing and mixing symptoms with diseases, what makes them unscientific. Considering the need to bring order into the chaos and light into terminological obscureness, I introduce the Causal classification of diseases originating from the notion of (...)
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  5. Letting Go of “Natural Kind”: Toward a Multidimensional Framework of Nonarbitrary Classification.David Ludwig - 2018 - Philosophy of Science 85 (1):31-52.
    This article uses the case study of ethnobiological classification to develop a positive and a negative thesis about the state of natural kind debates. On the one hand, I argue that current accounts of natural kinds can be integrated in a multidimensional framework that advances understanding of classificatory practices in ethnobiology. On the other hand, I argue that such a multidimensional framework does not leave any substantial work for the notion “natural kind” and that attempts to formulate a general (...)
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  6. Revamping the Metaphysics of Ethnobiological Classification.David Ludwig - 2018 - Current Anthropology 59 (4):415-438.
    Ethnobiology has a long tradition of metaphysical debates about the “naturalness,” “objectivity”, “reality”, and “universality” of classifications. Especially the work of Brent Berlin has been influential in developing a “convergence metaphysics” that explains cross-cultural similarities of knowledge systems through shared recognition of objective discontinuities in nature. Despite its influence on the development of the field, convergence metaphysics has largely fallen out of favor as contemporary ethnobiologists tend to emphasize the locality and diversity of classificatory practices. The aim of this article (...)
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  7. Banana Classification Using Deep Learning.Ahmed F. Al-Daour, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):6-11.
    Abstract: Banana, fruit of the genus Musa, of the family Musaceae, one of the most important fruit crops of the world. The banana is grown in the tropics, and, though it is most widely consumed in those regions, it is valued worldwide for its flavour, nutritional value, and availability throughout the year. Cavendish, or dessert, bananas are most commonly eaten fresh, though they may be fried or mashed and chilled in pies or puddings. They may also be used to flavour (...)
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  8. Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
    Fruit has been recognized as a good source of vitamins and minerals, and for their role in preventing vitamin C and vitamin A deficiencies. People who eat fruit as part of an overall healthy diet generally have a reduced risk of chronic diseases. Fruit are important sources of many nutrients, including potassium, fiber, vitamin C and folate (folic acid). One of important types of fruit is Grapefruit . Grapefruit is a tropical citrus fruit known its sweet and somewhat sour taste. (...)
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  9. Phenomenological Psychopathology and Psychiatric Classification.Anthony Vincent Fernandez - forthcoming - In Giovanni Stanghellini, Matthew Broome, Anthony Vincent Fernandez, Paolo Fusar-Poli, Andrea Raballo & René Rosfort (eds.), The Oxford Handbook of Phenomenological Psychopathology. Oxford, UK: pp. 1016-1030.
    In this chapter, I provide an overview of phenomenological approaches to psychiatric classification. My aim is to encourage and facilitate philosophical debate over the best ways to classify psychiatric disorders. First, I articulate phenomenological critiques of the dominant approach to classification and diagnosis—i.e., the operational approach employed in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the International Classification of Diseases (ICD-10). Second, I describe the type or typification approach to psychiatric classification, which I (...)
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  10. On Triplet Classification of Concepts.Vladimir Kuznetsov - 1997 - Knowledge Organization 24 (3):163-175.
    The scheme for classifications of concepts is introduced. It has founded on the triplet model of concepts. In this model a concept is depicted by means of three kinds of knowledge: a concept base, a concept representing part and the linkage between them. The idea of triplet classifications of concepts is connected with a usage of various specifications of these knowledge kinds as classification criteria.
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  11. Causation and Melanoma Classification.Brendan Clarke - 2011 - Theoretical Medicine and Bioethics 32 (1):19-32.
    In this article, I begin by giving a brief history of melanoma causation. I then discuss the current manner in which malignant melanoma is classified. In general, these systems of classification do not take account of the manner of tumour causation. Instead, they are based on phenomenological features of the tumour, such as size, spread, and morphology. I go on to suggest that misclassification of melanoma is a major problem in clinical practice. I therefore outline an alternative means of (...)
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  12. A Note on the Dynamics of Psychiatric Classification.José Eduardo Porcher - 2014 - Minerva - An Internet Journal of Philosophy 18 (1):27-47.
    The question of how psychiatric classifications are made up and to what they refer has attracted the attention of philosophers in recent years. In this paper, I review the claims of authors who discuss psychiatric classification in terms referring both to the philosophical tradition of natural kinds and to the sociological tradition of social constructionism — especially those of Ian Hacking and his critics. I examine both the ontological and the social aspects of what it means for something to (...)
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  13. Interactive Classification and Practice in the Social Sciences.Matt L. Drabek - 2010 - Poroi 6 (2):62-80.
    This paper examines the ways in which social scientific discourse and classification interact with the objects of social scientific investigation. I examine this interaction in the context of the traditional philosophical project of demarcating the social sciences from the natural sciences. I begin by reviewing Ian Hacking’s work on interactive classification and argue that there are additional forms of interaction that must be treated.
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  14. From the Pragmatics of Classification Systems to the Metaphysics of Concepts". [REVIEW]Stella Vosniadou, Costas Pagondiotis & Maria Deliyianni - 2005 - Journal of the Learning Sciences 14 (1):115-125.
    Review of the books: Jerry A. Fodor. Concepts: Where Cognitive Science went wrong. Oxford, UK: Oxford University Press, 1998, 174 pp., ISBN 0-19-823636-0. Geoffrey C. Bowker and Susan Leigh Star. Sorting things out: Classification and its consequences. Cambridge, MA: The MIT Press, 1999, 377 pp., ISBN 0-262-02461-6.
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  15. John S. Wilkins and Malte C. Ebach: The Nature of Classification: Relationships and Kinds in the Natural Sciences: Palgrave, Macmillan, 2014, Pp., Vii + 197, Price £60/$100.00.Catherine Kendig - 2015 - History and Philosophy of the Life Sciences 37 (4):477-479.
    John Wilkins and Malte Ebach respond to the dismissal of classification as something we need not concern ourselves with because it is, as Ernest Rutherford suggested, mere ‘‘stamp collecting.’’ They contend that classification is neither derivative of explanation or of hypothesis-making but is necessarily prior and prerequisite to it. Classification comes first and causal explanations are dependent upon it. As such it is an important (but neglected) area of philosophical study. Wilkins and Ebach reject Norwood Russell Hanson’s (...)
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  16. Specific Mechanisms Versus General Theories in the Classification of Disorders.David Trafimow - 2011 - Dialogues in Philosophy, Mental and Neuro Sciences 4 (1):16-17.
    Oulis pointed out that there is a great deal of interest in specific mechanisms relating to mental disorders and that these mechanisms should play a role in classification. Although specific mechanisms are important, more attention should be given to general theories. The following example from Salmon illustrates the difference.
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  17.  50
    An Ontology for Carcinoma Classification for Clinical Bioinformatics.Anand Kumar, Yum Lina Yip, Barry Smith, Dirk Marwede & Daniel Novotny - 2005 - Studies in Health Technology and Informatics 116 (1):635-640.
    There are a number of existing classifications and staging schemes for carcinomas, one of the most frequently used being the TNM classification. Such classifications represent classes of entities which exist at various anatomical levels of granularity. We argue that in order to apply such representations to the Electronic Health Records one needs sound ontologies which take into consideration the diversity of the domains which are involved in clinical bioinformatics. Here we outline a formal theory for addressing these issues in (...)
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  18. Phenomenology and the Crisis of Contemporary Psychiatry: Contingency, Naturalism, and Classification.Anthony Vincent Fernandez - 2016 - Dissertation, University of South Florida
    This dissertation is a contribution to the contemporary field of phenomenological psychopathology, or the phenomenological study of psychiatric disorders. The work proceeds with two major aims. The first is to show how a phenomenological approach can clarify and illuminate the nature of psychopathology—specifically those conditions typically labeled as major depressive disorder and bipolar disorder. The second is to show how engaging with psychopathological conditions can challenge and undermine many phenomenological presuppositions, especially phenomenology’s status as a transcendental philosophy and its corresponding (...)
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  19. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  20. Avocado Classification Using Deep Learning.Mohammed N. Abu Alqumboz & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):30-34.
    Avocado is the fruit of the avocado tree, scientifically known as Persia Americana. This fruit is prized for its high nutrient value and is added to various dishes due to its good flavor and rich texture. It is the main ingredient in guacamole. These days, the avocado has become an incredibly popular food among health-conscious individuals. It’s often referred to as a superfood, which is not surprising given its health properties. Using a public dataset of 1,234 images of Avocado collected (...)
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  21. Classification of Apple Fruits by Deep Learning.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-7.
    Abstract: Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is (...)
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  22. Peach Type Classification Using Deep Learning.Mohammed I. El-Kahlout & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Abstract: Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees (...)
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  23. Images, Diagrams, and Metaphors: Hypoicons in the Context of Peirce's Sixty-Six-Fold Classification of Signs.Priscila Farias & João Queiroz - 2006 - Semiotica 2006 (162):287-307.
    In his 1903 Syllabus, Charles S. Peirce makes a distinction between icons and iconic signs, or hypoicons, and briefly introduces a division of the latter into images, diagrams, and metaphors. Peirce scholars have tried to make better sense of those concepts by understanding iconic signs in the context of the ten classes of signs described in the same Syllabus. We will argue, however, that the three kinds of hypoicons can better be understood in the context of Peirce's sixty-six classes of (...)
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  24.  39
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  25. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at (...)
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  26.  40
    A Compatibility Law and the Classification of Theory Change.Patrick Fraser & Ameer Sarwar - 2018 - Scientonomy: Journal for the Science of Science 2:67-82.
    The current formulation of the zeroth law (the law of compatibility) is marred with a number of theoretical problems, which necessitate its reformulation. In this paper, we propose that compatibility is an independent stance that can be taken towards epistemic elements of all types. We then provide a new definition of compatibility criteria to reflect this change. We show that the content of the zeroth law is deducible from our definition of compatibility. Instead of a static law of compatibility, we (...)
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  27. How Interested in Classification Are British and American Psychiatrists and How Have They Chosen to Study It Over the Last 50 Years?Mark Griffiths - 2013 - Dialogues in Philosophy, Mental and Neuro Sciences 6 (1):23-33.
    Aims and Methods: The general conceptual issues involved in psychiatric classification seem to be increasingly neglected in contrast to a focus on specific and empirical aspects which appear to have come to dominate the study of classification in the field. This article explores how the psychiatric field (in the UK and US) has chosen to analyse classification over time. Publication trends of articles in both The American Journal of Psychiatry and The British Journal of Psychiatry over a (...)
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  28. The Mechanistic Approach to Psychiatric Classification.Elisabetta Sirgiovanni - 2009 - Dialogues in Philosophy, Mental and Neuro Sciences 2 (2):45-49.
    A Kuhnian reformulation of the recent debate in psychiatric nosography suggested that the current psychiatric classification system (the DSM) is in crisis and that a sort of paradigm shift is awaited (Aragona, 2009). Among possible revolutionary alternatives, the proposed fi ve-axes etiopathogenetic taxonomy (Charney et al., 2002) emphasizes the primacy of the genotype over the phenomenological level as the relevant basis for psychiatric nosography. Such a position is along the lines of the micro-reductionist perspective of E. Kandel (1998, 1999), (...)
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  29. Brentano's Classification of Mental Phenomena.Uriah Kriegel - 2017 - In U. Kriegel (ed.), Routledge Handbook of Franz Brentano and the Brentano School. London and New York: Routledge. pp. 97-102.
    In Chapter 3 of Book I of Psychology from an Empirical Standpoint, Brentano articulates what he takes to be the four most basic and central tasks of psychology. One of them is to discover the ‘fundamental classification’ of mental phenomena. Brentano attends to this task in Chapters 5-9 of Book II of the Psychology, reprinted (with appendices) in 1911 as a standalone book (Brentano 1911a). The classification is further developed in an essay entitled “A Survey of So-Called Sensory (...)
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  30. Phenomenology and Dimensional Approaches to Psychiatric Research and Classification.Anthony Vincent Fernandez - 2019 - Philosophy, Psychiatry, and Psychology 26 (1):65-75.
    Contemporary psychiatry finds itself in the midst of a crisis of classification. The developments begun in the 1980s—with the third edition of the Diagnostic and Statistical Manual of Mental Disorders —successfully increased inter-rater reliability. However, these developments have done little to increase the predictive validity of our categories of disorder. A diagnosis based on DSM categories and criteria often fails to accurately anticipate course of illness or treatment response. In addition, there is little evidence that the DSM categories link (...)
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  31. Post‐Trial Obligations in the Declaration of Helsinki 2013: Classification, Reconstruction and Interpretation.Ignacio Mastroleo - 2016 - Developing World Bioethics 16 (2):80-90.
    The general aim of this article is to give a critical interpretation of post-trial obligations towards individual research participants in the Declaration of Helsinki 2013. Transitioning research participants to the appropriate health care when a research study ends is a global problem. The publication of a new version of the Declaration of Helsinki is a great opportunity to discuss it. In my view, the Declaration of Helsinki 2013 identifies at least two clearly different types of post-trial obligations, specifically, access to (...)
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  32. Psychiatric Classification and Diagnosis. Delusions and Confabulations.Lisa Bortolotti - 2011 - Paradigmi (1):99-112.
    In psychiatry some disorders of cognition are distinguished from instances of normal cognitive functioning and from other disorders in virtue of their surface features rather than in virtue of the underlying mechanisms responsible for their occurrence. Aetiological considerations often cannot play a significant classificatory and diagnostic role, because there is no sufficient knowledge or consensus about the causal history of many psychiatric disorders. Moreover, it is not always possible to uniquely identify a pathological behaviour as the symptom of a certain (...)
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  33. Scientific Essentialism in the Light of Classification Practice in Biology – a Case Study of Phytosociology.Adam P. Kubiak & Rafał R. Wodzisz - 2012 - Zagadnienia Naukoznawstwa 48 (194):231-250.
    In our paper we investigate a difficulty arising when one tries to reconsiliateessentialis t’s thinking with classification practice in the biological sciences. The article outlinessome varieties of essentialism with particular attention to the version defended by Brian Ellis. Weunderline the basic difference: Ellis thinks that essentialism is not a viable position in biology dueto its incompatibility with biological typology and other essentialists think that these two elementscan be reconciled. However, both parties have in common metaphysical starting point and theylack (...)
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  34. The Classification, Definition, and Ontology of Delusion.José Eduardo Porcher - 2016 - Revista Latinoamericana de Psicopatología Fundamental 19 (1):167-181.
    Although delusion is one of the central concepts of psychopathology, it stills eludes precise conceptualization. In this paper, I present certain basic issues concerning the classification and definition of delusion, as well as its ontological status. By examining these issues, I aim to shed light on the ambiguity of the clinical term ‘delusion’ and its extension, as well as provide clues as to why philosophers are increasingly joining the ranks of psychiatrists, psychologists, and neuroscientists in the effort to come (...)
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  35.  24
    A Classification System for Argumentation Schemes.Douglas Walton & Fabrizio Macagno - 2016 - Argument and Computation 6 (3):219-245.
    This paper explains the importance of classifying argumentation schemes, and outlines how schemes are being used in current research in artificial intelligence and computational linguistics on argument mining. It provides a survey of the literature on scheme classification. What are so far generally taken to represent a set of the most widely useful defeasible argumentation schemes are surveyed and explained systematically, including some that are difficult to classify. A new classification system covering these centrally important schemes is built.
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  36. Towards a Proteomics Meta-Classification.Anand Kumar & Barry Smith - 2004 - In IEEE Fourth Symposium on Bioinformatics and Bioengineering, Taichung, Taiwan. IEEE Press. pp. 419–427.
    that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins in terms of just one or two specific aspects. Thus SCOP (Structural Classification of Proteins) is described as classifying proteins on the basis of structural features; SWISSPROT annotates proteins on the basis of their structure and of parameters like post-translational modifications. Such data sources are connected to each other by pairwise term-to-term mappings. However, there are obstacles which stand in (...)
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  37. The Classification of the Sciences and Cross-Disciplinarity.Jaime Nubiola - 2005 - Transactions of the Charles S. Peirce Society 41 (2):271-282.
    In a world of ever growing specialization, the idea of a unity of science is commonly discarded, but cooperative work involving cross-disciplinary points of view is encouraged. The aim of this paper is to show with some textual support that Charles S. Peirce not only identified this paradoxical situation a century ago, but he also mapped out some paths for reaching a successful solution. A particular attention is paid to Peirce's classification of the sciences and to his conception of (...)
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  38. Epistemic Vs Ontic Classification of Quantum Entangled States?Michele Caponigro & Enrico Giannetto - 2012 - Discusiones Filosóficas 13 (20):137 - 145.
    In this brief paper, starting from recent works, we analyze from conceptual point of view this basic question: can be the nature of quantum entangled states interpreted ontologically or epistemologically? According some works, the degrees of freedom of quantum systems permit us to establish a possible classification between factorizables and entangled states. We suggest, that the "choice" of degree of freedom, even if mathematically justified introduces epistemic element, not only in the systems but also in their classification. We (...)
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  39. Dialecticians and Stoics on the Classification of Propositions.Theodor Ebert - 1993 - In Klaus Döring & Theodor Ebert (eds.), Dialektiker und Stoiker. Zur Logik der Stoa und ihrer Vorläufer. Stuttgart: Steiner Verlag. pp. 111-127.
    This paper discusses the reports in Diogenes Laertius and in Sextus Empiricus concerning the classification of propositions. It is argued that the material in Sextus uses a source going back to the Dialectical school whose most prominent members were Diodorus Cronus and Philo of Megara. The material preserved in Diogenes Laertius, on the other hand, goes back to Chrysippus.
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  40.  40
    A Framework for Protein Classification.Anand Kumar & Barry Smith - 2003 - In Proceedings of the 2003 German Conference on Bioinformatics, Vol. II. pp. 55-57.
    It is widely understood that protein functions can be exhaustively described in terms of no single parameter, whether this be amino acid sequence or the three-dimensional structure of the underlying protein molecule. This means that a number of different attributes must be used to create an ontology of protein functions. Certainly much of the required information is already stored in databases such as Swiss-Prot, Protein Data Bank, SCOP and MIPS. But the latter have been developed for different purposes and the (...)
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  41. A FORMAL CONCEPT OF CULTURE IN THE CLASSIFICATION OF ALFRED L. KROEBER AND CLYDE KLUCKHOHN.Boroch Robert - 2016 - Analecta 25 (2):61-101.
    The objective of this article is to analyse definitions of culture gathered by Alfred L. Kroeber and Clyde Kluckhohn and published in Culture. A Critical Review of Concepts and Definitions in 1952. This article emphasizes a possibility of re-analysing the material collected by these researchers (Kroeber–Kluckhohn Culture Classification, hereinafter referred to as KKCC). The article shows that the KKCC material constitutes a coherent conceptual and theoretical paradigm. This paradigm was subject to contextual, frequential and conceptual (Formal Conceptual Analysis, hereinafter (...)
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  42. Universal Etiology, Multifactorial Diseases and the Constitutive Model of Disease Classification.Jonathan Fuller - 2018 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 67:8-15.
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  43. On the Classification of Diseases.Benjamin Smart - 2014 - Theoretical Medicine and Bioethics 35 (4):251-269.
    Identifying the necessary and sufficient conditions for individuating and classifying diseases is a matter of great importance in the fields of law, ethics, epidemiology, and of course, medicine. In this paper, I first propose a means of achieving this goal, ensuring that no two distinct disease-types could correctly be ascribed to the same disease-token. I then posit a metaphysical ontology of diseases—that is, I give an account of what a disease is. This is essential to providing the most effective means (...)
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  44. Why Metaphysics Needs Logic and Mathematics Doesn't: Mathematics, Logic, and Metaphysics in Peirce's Classification of the Sciences.Cornelis de Waal - 2005 - Transactions of the Charles S. Peirce Society 41 (2):283-297.
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  45. Problem klasifikacije u filozofiji psihijatrije : slučaj psihopatije (Eng. The Problem of Classification in the Philosophy of Psychiatry: The Case of Psychopathy).Zdenka Brzović, Jelena Hodak, Luca Malatesti, Vesna Šendula-Jengić & Predrag Šustar - 2016 - Prolegomena 15 (1):21-41.
    The aim of this paper is to analyze, from a philosophical perspective, the scientific robustness of the construct of psychopathy as measured by the Psychopathy Checklist Revised that was developed by Robert Hare (1991; 2003). The scientific robustness and validity of classifications are topics of many debates in philosophy of science and philosophy of psychiatry more specifically. The main problem consists in establishing whether scientific classifications reflect natural kinds where the concept of a natural kind refers to the existence of (...)
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  46. Nonreductive Moral Classification and the Limits of Philosophy.Thomas V. Cunningham - 2014 - American Journal of Bioethics 14 (2):22-24.
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  47. Locke's Theory of Classification.Judith Crane - 2003 - British Journal for the History of Philosophy 11 (2):249 – 259.
    Locke is often cited as a precursor to contemporary natural kind realism. However, careful attention to Locke’s arguments show that he was unequivocally a conventionalist about natural kinds. To the extent that contemporary natural kind realists see themselves as following Locke, they misunderstand what he was trying to do. Locke argues that natural kinds require either dubious metaphysical commitments (e.g., to substantial forms or universals), or a question-begging version of essentialism. Contemporary natural kind realists face a similar dilemma, and should (...)
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  48. On the Classification of Śāntideva’s Ethics in the Bodhicaryāvatāra.Stephen E. Harris - 2015 - Philosophy East and West 65 (1):249-275.
    In this essay several challenges are raised to the project of classifying Śāntideva’s ethical reasoning given in his Bodhicaryāvatāra, or Guide to the Way of the Bodhisattva, as a species of ethical theory such as consequentialism or virtue ethics. One set of difficulties highlighted here arises because Śāntideva wrote this text to act as a manual of psychological transformation, and it is therefore often difficult to determine when his statements indicate his own ethical views. Further, even assuming we can identify (...)
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  49.  64
    Review: Muhammad Ali Khalidi's Natural Categories and Human Kinds: Classification in the Natural and Social Sciences. [REVIEW]Matthew H. Slater - 2015 - British Journal for the Philosophy of Science 66 (4):1017-1023.
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    Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts From Cochrane Reviews.Sam Lee, Borlawsky Tara, Tao Ying, Li Jianrong, Friedman Carol, Barry Smith & A. Lussier Yves - 2007 - In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, DC: AMIA. pp. 645.
    The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts.
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