Results for 'Sarcasm Detection'

437 found
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  1. Sarcasm Detection in Headline News Using Machine and Deep Learning Algorithms.Alaa Barhoom, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):66-73.
    Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to (...)
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  2. Sarcasm Detection in Headline News Using Machine and Deep Learning Algorithms.Alaa Barhoom, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):66-73.
    Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to (...)
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  3. Change Detection.Ronald A. Rensink - 2002 - Annual Review of Psychology 53 (1):245-277.
    Five aspects of visual change detection are reviewed. The first concerns the concept of change itself, in particular the ways it differs from the related notions of motion and difference. The second involves the various methodological approaches that have been developed to study change detection; it is shown that under a variety of conditions observers are often unable to see large changes directly in their field of view. Next, it is argued that this “change blindness” indicates that focused (...)
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  4. Sarcasm and Taboo in the Moroccan Mediascape After the February 20 Movement.Abdelmjid Kettioui - 2020 - Journal of African Cultural Studies 1:19.
    This article aims to conceptualize the interplay between sarcasm, scatology and writing in Darija (Moroccan Arabic or Al-Maghribia) on the web in a post-uprising era. It focuses on the new Darijophone prose that emerged after 20 February 2011 protests in Goud and The Newزحيليكر‎ (The New Bumpkin). Originating with absurdist February 20 movement founder member, Mohammed Sokrat, this writing genre is realist, vulgar, profane, taboo-breaking, and borrows from the toilet space to poke fun at the schizophrenia, herd mentality and (...)
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  5. Detection of Brain Tumor Using Deep Learning.Hamza Rafiq Almadhoun & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):29-47.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as a (...)
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  6. Sarcasm Definition and Examples in Literature and Everyday Life.Gregory Woods - manuscript
    The following articke studies the definitions of sarcasm, its usage in literature, in educational system, and its pros and cons.
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  7. Failure to Detect Mismatches Between Intention and Outcome in a Simple Decision Task.Petter Johansson, Lars Hall, Sverker Sikstrom & Andreas Olsson - 2005 - Science 310 (5745):116-119.
    A fundamental assumption of theories of decision-making is that we detect mismatches between intention and outcome, adjust our behavior in the face of error, and adapt to changing circumstances. Is this always the case? We investigated the relation between intention, choice, and introspection. Participants made choices between presented face pairs on the basis of attractiveness, while we covertly manipulated the relationship between choice and outcome that they experienced. Participants failed to notice conspicuous mismatches between their intended choice and the outcome (...)
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  8. Fraudulent Financial Transactions Detection Using Machine Learning.Mosa M. M. Megdad, Samy S. Abu-Naser & Bassem S. Abu-Nasser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (3):30-39.
    It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...)
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  9. Detecting Health Problems Related to Addiction of Video Game Playing Using an Expert System.Samy S. Abu Naser & Mohran H. Al-Bayed - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (9):7-12.
    Today’s everyone normal life can include a normal rate of playing computer games or video games; but what about an excessive or compulsive use of video games that impact on our life? Our kids, who usually spend a lot of time in playing video games will likely have a trouble in paying attention to their school lessons. In this paper, we introduce an expert system to help users in getting the correct diagnosis of the health problem of video game addictions (...)
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  10.  43
    Deepfake Detection by Human Crowds, Machines, and Machine-Informed Crowds.Matthew Groh, Ziv Epstein, Chaz Firestone & Rosalind Picard - 2022 - Proceedings of the National Academy of Sciences 119 (1):e2110013119.
    The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary human observers with the leading computer vision deepfake detection model and find them similarly accurate, while making different kinds of mistakes. Together, participants with access to the model’s (...)
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  11. True Detective: Buddhism, Pessimism or Philosophy?Finn Janning - 2014 - Journal of Philosophy of Life 4 (4).
    The aim of this paper is to raise two questions. The first question is: How is pessimism related to Buddhism (and vice versa)? The second question is: What relation does an immanent philosophy have to pessimism and Buddhism, if any? Using True Detective, an American television crime drama, as my point of departure, first I will outline some of the likenesses between Buddhism and pessimism. At the same time, I will show how the conduct of one of the main characters (...)
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  12. True Detective : Pessimism, Buddhism or Philosophy?Finn Janning - 2015 - Journal of Philosophy of Life 5 (1).
    The aim of this paper is to raise two questions. The first question is: How is pessimism related to Buddhism (and vice versa)? The second question is: What relation does an immanent philosophy have to pessimism and Buddhism, if any? Using True Detective, an American television crime drama, as my point of departure, first I will outline some of the likenesses between Buddhism and pessimism. At the same time, I will show how the conduct of one of the main characters (...)
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  13. Pedestrian Detection Based on Hierarchical Co-Occurrence Model for Occlusion Handling.Xiaowei Zhang, HaiMiao Hu, Fan Jiang & Bo Li - 2015 - Neurocomputing 10.
    In pedestrian detection, occlusions are typically treated as an unstructured source of noise and explicit models have lagged behind those for object appearance, which will result in degradation of detection performance. In this paper, a hierarchical co-occurrence model is proposed to enhance the semantic representation of a pedestrian. In our proposed hierarchical model, a latent SVM structure is employed to model the spatial co-occurrence relations among the parent–child pairs of nodes as hidden variables for handling the partial occlusions. (...)
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  14. Ontology-Based Error Detection in SNOMED-CT.Werner Ceusters, Barry Smith, Anand Kumar & Christoffel Dhaen - 2004 - Proceedings of Medinfo 2004:482-6.
    Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demon­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.
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  15.  62
    Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.Birgitta Dresp-Langley - 2021 - Symmetry 13:299.
    Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. To this (...)
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  16. Introspection Is Signal Detection.Jorge Morales - forthcoming - British Journal for the Philosophy of Science.
    Introspection is a fundamental part of our mental lives. Nevertheless, its reliability and its underlying cognitive architecture have been widely disputed. Here, I propose a principled way to model introspection. By using time-tested principles from signal detection theory (SDT) and extrapolating them from perception to introspection, I offer a new framework for an introspective signal detection theory (iSDT). In SDT, the reliability of perceptual judgments is a function of the strength of an internal perceptual response (signal- to-noise ratio) (...)
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  17. In Defence of Gullibility: The Epistemology of Testimony and the Psychology of Deception Detection.Kourken Michaelian - 2010 - Synthese 176 (3):399-427.
    Research in the psychology of deception detection implies that Fricker, in making her case for reductionism in the epistemology of testimony, overestimates both the epistemic demerits of the antireductionist policy of trusting speakers blindly and the epistemic merits of the reductionist policy of monitoring speakers for trustworthiness: folk psychological prejudices to the contrary notwithstanding, it turns out that monitoring is on a par (in terms both of the reliability of the process and of the sensitivity of the beliefs that (...)
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  18. Detecting Ideology in Our Understanding of Objectivity.Markus Gabriel - 2015 - In Channa van Dijk, Eva van der Graaf, Michiel den Haan, Rosa de Jong, Christiaan Roodenburg, Dyane Til & Deva Waal (eds.), Under Influence - Philosophical Festival Drift (2014). Omnia. pp. 44-63.
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  19. Impact of Applying Fraud Detection and Prevention Instruments in Reducing Occupational Fraud: Case Study: Ministry of Health (MOH) in Gaza Strip.Faris M. Abu Mouamer, Youssef M. Abu Amuna, Mohammed K. H. A. L. I. Khalil & Abedallh Aqel - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (6):35-45.
    The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza (...)
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  20. Lung Cancer Detection Using Artificial Neural Network.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-23.
    In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...)
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  21. Is Blindsight Possible Under Signal Detection Theory? Comment on Phillips (2021).Matthias Michel & Hakwan Lau - 2021 - Psychological Review 128 (3):585-591.
    Phillips argues that blindsight is due to response criterion artefacts under degraded conscious vision. His view provides alternative explanations for some studies, but may not work well when one considers several key findings in conjunction. Empirically, not all criterion effects are decidedly non-perceptual. Awareness is not completely abolished for some stimuli, in some patients. But in other cases, it was clearly impaired relative to the corresponding visual sensitivity. This relative dissociation is what makes blindsight so important and interesting.
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  22. On the Failure to Detect Changes in Scenes Across Brief Interruptions.Ronald A. Rensink, Kevin J. O'Regan & James J. Clark - 2000 - Visual Cognition 7 (1/2/3):127-145.
    When brief blank fields are placed between alternating displays of an original and a modified scene, a striking failure of perception is induced: the changes become extremely difficult to notice, even when they are large, presented repeatedly, and the observer expects them to occur (Rensink, O'Regan, & Clark, 1997). To determine the mechanisms behind this induced "change blindness", four experiments examine its dependence on initial preview and on the nature of the interruptions used. Results support the proposal that representations at (...)
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  23. Intelligent Plagiarism Detection for Electronic Documents.Mohran H. J. Al-Bayed - 2017 - Dissertation, Al-Azhar University, Gaza
    Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This process will be done with (...)
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  24. Can Gravitons Be Detected?Tony Rothman & Stephen Boughn - 2006 - Foundations of Physics 36 (12):1801-1825.
    Freeman Dyson has questioned whether any conceivable experiment in the real universe can detect a single graviton. If not, is it meaningful to talk about gravitons as physical entities? We attempt to answer Dyson’s question and find it is possible concoct an idealized thought experiment capable of detecting one graviton; however, when anything remotely resembling realistic physics is taken into account, detection becomes impossible, indicating that Dyson’s conjecture is very likely true. We also point out several mistakes in the (...)
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  25. Automatic Face Mask Detection Using Python.M. Madan Mohan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):91-100.
    The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using (...)
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  26.  55
    COVID-19 Face Mask Detection Alert System.McDonald Moyo & Cen Yuefeng - 2022 - Computer Engineering and Intelligent Systems 13 (2):1-15.
    Study shows that mask-wearing is a critical factor in stopping the COVID-19 transmission. By the time of this article, most states have mandated face masking in public space. Therefore, real-time face mask detection becomes an essential application to prevent the spread of the pandemic. This study will present a face mask detection system that can detect and monitor mask-wearing from camera feeds and alert when there is a violation. The face mask detection algorithm uses a haar cascade (...)
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  27. Phonological Ambiguity Detection Outside of Consciousness and Its Defensive Avoidance.Ariane Bazan, Ramesh Kushwaha, E. Samuel Winer, J. Michael Snodgrass, Linda A. W. Brakel & Howard Shevrin - 2019 - Frontiers in Human Neuroscience 13.
    Freud proposes that in unconscious processing, logical connections are also (heavily) based upon phonological similarities. Repressed concerns, for example, would also be expressed by way of phonologic ambiguity. In order to investigate a possible unconscious influence of phonological similarity, 31 participants were submitted to a tachistoscopic subliminal priming experiment, with prime and target presented at 1ms. In the experimental condition, the prime and one of the 2 targets were phonological reversed forms of each other, though graphemically dissimilar (e.g., “nice” and (...)
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  28.  21
    A Problem with Detecting Problem-Solving Outside the Natural Sciences.Terence Rajivan Edward -
    In this paper, I draw attention to an obstacle to determining to what extent the portrait of normal science as a problem-solving activity applies outside the natural sciences. I give two examples from social anthropology, one from the heyday of British structural-functionalism and one from recent British anthropology, “responding” to Marilyn Strathern’s problem of the feminist fieldworker. (NOTE: there is a duplicate of this but neither may be showing on my profile. A proverb: the guest hates the other guest; the (...)
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  29. Hidden Figures: Epistemic Costs and Benefits of Detecting (Invisible) Diversity in Science.Uwe Peters - 2021 - European Journal for Philosophy of Science 11 (1):1-21.
    Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on (...)
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  30.  14
    A Problem with Detecting Problem-Solving Outside the Natural Sciences.Terence Rajivan Edward - manuscript
    In this paper, I draw attention to an obstacle to determining to what extent the portrait of normal science as a problem-solving activity applies outside the natural sciences. I give two examples from social anthropology, one from the heyday of British structural-functionalism and one from recent British anthropology, “responding” to Marilyn Strathern's problem of the feminist fieldworker. (NOTE: There is a duplicate of this paper on PhilPapers!).
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  31. Using Deep Learning to Detect Facial Markers of Complex Decision Making.Gianluca Guglielmo, Irene Font Peradejordi & Michal Klincewicz - forthcoming - Lecture Notes in Computer Science (Advances in Computer Games 2021).
    In this paper, we report on an experiment with The Walking Dead (TWD), which is a narrative-driven adventure game where players have to survive in a post-apocalyptic world filled with zombies. We used OpenFace software to extract action unit (AU) intensities of facial expressions characteristic of decision-making processes and then we implemented a simple convolution neural network (CNN) to see which AUs are predictive of decision-making. Our results provide evidence that the pre-decision variations in action units 17 (chin raiser), 23 (...)
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  32.  47
    Assyrian Merchants Meet Nuclear Physicists: History of the Early Contributions From Social Sciences to Computer Science. The Case of Automatic Pattern Detection in Graphs (1950s-1970s).Sébastien Plutniak - 2021 - Interdisciplinary Science Reviews 46 (4):547-568.
    Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains one of the unsolved NP-complete problems today. The research led by the archaeologist Jean-Claude Gardin from the 1950s on non-numerical information and graph analysis is retraced to demonstrate the early contributions of social sciences and humanities. The limited recognition and reception of Gardin's innovative computer application to (...)
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  33. Wave Detected by LIGO is Not Gravitational Wave.Alfonso Leon Guillen Gomez - manuscript
    General Relativity defines gravity like the metric of a Lorentzian manifold. Einstein formulated spacetime as quality structural of gravity, i.e, circular definition between gravity and spacetime, also Einstein denoted "Space and time are modes by which we think, not conditions under which we live" and “We denote everything but the gravitational field as matter”, therefore, spacetime is nothing and gravity in first approximation an effect of coordinates, and definitely a geometric effect. The mathematical model generates quantitative predictions coincident in high (...)
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  34.  74
    Prolog Detects Pathological Self Reference in the Gödel Sentence.P. Olcott - manuscript
    This sentence G ↔ ¬(F ⊢ G) and its negation G ↔ ~(F ⊢ ¬G) are shown to meet the conventional definition of incompleteness: Incomplete(T) ↔ ∃φ ((T ⊬ φ) ∧ (T ⊬ ¬φ)). They meet conventional definition of incompleteness because neither the sentence nor its negation is provable in F (or any other formal system). -- .
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  35.  49
    Evidence and Presumptions for Analyzing and Detecting Misunderstandings.Fabrizio Macagno - 2018 - Pragmatics and Cognition 24 (2):263-296.
    The detection and analysis of misunderstandings are crucial aspects of discourse analysis, and presuppose a twofold investigation of their structure. First, misunderstandings need to be identified and, more importantly, justified. For this reason, a classification of the types and force of evidence of a misunderstanding is needed. Second, misunderstandings reveal differences in the interlocutors’ interpretations of an utterance, which can be examined by considering the presumptions that they use in their interpretation. This paper proposes a functional approach to misunderstandings (...)
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  36. Detection of Dopamine Neurotransmission in ‘Real Time’.Rajendra Badgaiyan - 2013 - Frontiers in Neuroscience 7 (125).
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  37. Responsible Innovation in Social Epistemic Systems: The P300 Memory Detection Test and the Legal Trial.John Danaher - forthcoming - In Van den Hoven (ed.), Responsible Innovation Volume II: Concepts, Approaches, Applications. Springer.
    Memory Detection Tests (MDTs) are a general class of psychophysiological tests that can be used to determine whether someone remembers a particular fact or datum. The P300 MDT is a type of MDT that relies on a presumed correlation between the presence of a detectable neural signal (the P300 “brainwave”) in a test subject, and the recognition of those facts in the subject’s mind. As such, the P300 MDT belongs to a class of brain-based forensic technologies which have proved (...)
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  38.  68
    Are the Waves Detected by LIGO the Waves According to Einstein, Pirani, Bondi, Trautmann, Kopeikin or What Are They?Alfonso Guillen Gomez - manuscript
    From the geometric formulation of gravity, according to the Einstein-Grosmann-Hilbert equations, of November 1915, as the geodesic movement in the semirimennian manifold of positive curvature, spacetime, where due to absence of symmetries, the conservation of energy-impulse is not possible taking together the material processes and that of the gravitational geometric field, however, given those symmetries in the flat Minkowski spacetime, using the De Sitter model, Einstein linearizing gravitation, of course, really in the absence of gravity, in 1916, purged of some (...)
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  39. Attention to Mental Paint and Change Detection.Assaf Weksler - 2017 - Philosophical Studies 174 (8):1991-2007.
    According to the influential thesis of attentional transparency, in having or reflecting on an ordinary visual experience, we can attend only outwards, to qualities the experience represents, never to intrinsic qualities of the experience itself, i.e., to “mental paint.” According to the competing view, attentional semitransparency, although we usually attend outwards, to qualities the experience represents, we can also attend inwards, to mental paint. So far, philosophers have debated this topic in strictly armchair means, especially phenomenological reflection. My aim in (...)
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  40.  67
    The Emergence of “Truth Machines”?: Artificial Intelligence Approaches to Lie Detection.Jo Ann Oravec - 2022 - Ethics and Information Technology 24 (1).
    This article analyzes emerging artificial intelligence -enhanced lie detection systems from ethical and human resource management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are altering (...)
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  41. Mistakes in Medical Ontologies: Where Do They Come From and How Can They Be Detected?Werner Ceusters, Barry Smith, Anand Kumar & Christoffel Dhaen - 2004 - Studies in Health and Technology Informatics 102:145-164.
    We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT.
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  42. Autism Spectrum and Cheaters Detection.Miguel López Astorga - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (1):1-10.
    Rutherford and Ray think that human beings have mental mechanisms that help them to detect individuals that, deliberately, do not follow a rule. In the same way, they hold that autism is not a disorder in which these mechanisms are damaged. This idea seems contrary to the thesis, supported by some researchers, that autistic people have a theory of mind deficit. This is because of, if Rutherford and Ray are right, autistic people can detect other people's intentions. In this paper, (...)
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  43. The Comparative Advantages of Brain-Based Lie Detection: The P300 Concealed Information Test and Pre-Trial Bargaining.John Danaher - 2015 - International Journal of Evidence and Proof 19 (1).
    The lie detector test has long been treated with suspicion by the law. Recently, several authors have called this suspicion into question. They argue that the lie detector test may have considerable forensic benefits, particularly if we move past the classic, false-positive prone, autonomic nervous system-based (ANS-based) control question test, to the more reliable, brain-based, concealed information test. These authors typically rely on a “comparative advantage” argument to make their case. According to this argument, we should not be so suspicious (...)
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  44. Emerging Neurotechnologies for Lie-Detection: Where Are We Now? An Appraisal of Wolpe, Foster and Langleben's “Emerging Neurotechnologies for Lie-Detection: Promise and Perils” Five Years Later.Steven E. Hyman - 2010 - American Journal of Bioethics 10 (10):49-50.
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  45.  33
    A Minimal Turing Test: Reciprocal Sensorimotor Contingencies for Interaction Detection.Pamela Barone, Manuel G. Bedia & Antoni Gomila - 2020 - Frontiers in Human Neuroscience 14.
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  46.  18
    Are the Waves Detected by LIGO the Waves According to Einstein, Pirani, Bondi, Trautmann, Kopeikin or What Are They?Alfonso Guillen Gomez - manuscript
    From the geometric formulation of gravity, according to the Einstein-Grosmann-Hilbert equations, of November 1915, as the geodesic movement in the semirimennian manifold of positive curvature, spacetime, where due to absence of symmetries, the conservation of energy-impulse is not possible taking together the material processes and that of the gravitational geometric field, however, given those symmetries in the flat Minkowski spacetime, using the De Sitter model, Einstein linearizing gravitation, of course, really in the absence of gravity, in 1916, purged of some (...)
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  47. I Laugh Because It's Absurd: Humor as Error Detection.Chris A. Kramer - 2021 - In Jennifer Marra Henrigillis and Steven Gimbel (ed.), It's Funny 'Cause It's True: The Lighthearted Philosophers Society's Introduction to Philosophy through Humor. pp. 82-93.
    “ A man orders a whole pizza pie for himself and is asked whether he would like it cut into eight or four slices. He responds, ‘Four, I’m on a diet ”’ (Noël Carroll) -/- While not hilarious --so funny that it induces chortling punctuated with outrageous vomiting--this little gem is amusing. We recognize that something has gone wrong. On a first reading it might not compute, something doesn’t quite make sense. Then, aha! , we understand the hapless dieter has (...)
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  48. Autism Spectrum and Cheaters Detection.Miguel Lopez Astorga - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (1):1-10.
    Rutherford and Ray think that human beings have mental mechanisms that help them to detect individuals that, deliberately, do not follow a rule. In the same way, they hold that autism is not a disorder in which these mechanisms are damaged. This idea seems contrary to the thesis, supported by some researchers, that autistic people have a theory of mind deficit. This is because of, if Rutherford and Ray are right, autistic people can detect other people’s intentions. In this paper, (...)
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  49. ANN for Lung Cancer Detection.Nassar AlIbrahim & Murshidy Suheil - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-21.
    In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...)
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  50. Developing the Quantitative Histopathology Image Ontology : A Case Study Using the Hot Spot Detection Problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection (...)
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