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  1. Introduction to CAT4. Part 2. CAT2.Andrew Thomas Holster - manuscript
    CAT4 is proposed as a general method for representing information, enabling a powerful programming method for large-scale information systems. It enables generalised machine learning, software automation and novel AI capabilities. It is based on a special type of relation called CAT4, which is interpreted to provide a semantic representation. This is Part 2 of a five-part introduction. The focus here is on defining key mathematical properties of CAT2, identifying the topology and defining essential functions over a coordinate system. The analysis (...)
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  2. Jacques Lacan’s Registers of the Psychoanalytic Field, Applied Using Geometric Data Analysis to Edgar Allan Poe’s “The Purloined Letter”.Fionn Murtagh & Giuseppe Iurato - manuscript
    In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more Comprehensive investigation, we develop an approach for revealing, that is, uncovering, Lacanian (...)
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  3. Money Without State.Andrew M. Bailey, Bradley Rettler & Craig Warmke - forthcoming - Philosophy Compass.
    In this article, we describe what cryptocurrency is, how it works, and how it relates to familiar conceptions of and questions about money. We then show how normative questions about monetary policy find new expression in Bitcoin and other cryptocurrencies. These questions can play a role in addressing not just what money is, but what it should be. A guiding theme in our discussion is that progress here requires a mixed approach that integrates philosophical tools with the purely technical results (...)
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  4. Weakly Free Multialgebras.Marcelo E. Coniglio & Guilherme V. Toledo - forthcoming - Bulletin of the Section of Logic.
    In abstract algebraic logic, many systems, such as those paraconsistent logics taking inspiration from da Costa's hierarchy, are not algebraizable by even the broadest standard methodologies, as that of Blok and Pigozzi. However, these logics can be semantically characterized by means of non-deterministic algebraic structures such as Nmatrices, RNmatrices and swap structures. These structures are based on multialgebras, which generalize algebras by allowing the result of an operation to assume a non-empty set of values. This leads to an interest in (...)
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  5. Explaining Experience In Nature: The Foundations Of Logic And Apprehension.Steven Ericsson-Zenith - forthcoming - Institute for Advanced Science & Engineering.
    At its core this book is concerned with logic and computation with respect to the mathematical characterization of sentient biophysical structure and its behavior. -/- Three related theories are presented: The first of these provides an explanation of how sentient individuals come to be in the world. The second describes how these individuals operate. And the third proposes a method for reasoning about the behavior of individuals in groups. -/- These theories are based upon a new explanation of experience in (...)
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  6. Robots as Powerful Allies for the Study of Embodied Cognition From the Bottom Up.Matej Hoffmann & Rolf Pfeifer - forthcoming - In Albert Newen, Leon De Bruin & Shaun Gallagher (eds.), The Oxford Handbook of 4E Cognition. Oxford University Press.
    A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool (...)
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  7. Ranking Theory.Gabriele Kern-Isberner, Niels Skovgaard-Olsen & Wolfgang Spohn - forthcoming - Knauff, M. & Spohn, W. (Eds). The Handbook of Rationality. MIT Press.
    Ranking theory is one of the salient formal representations of doxastic states. It differs from others in being able to represent belief in a proposition (= taking it to be true), to also represent degrees of belief (i.e. beliefs as more or less firm), and thus to generally account for the dynamics of these beliefs. It does so on the basis of fundamental and compelling rationality postulates and is hence one way of explicating the rational structure of doxastic states. Thereby (...)
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  8. Simulation and Controller Design of Thermal Spraying Processes.P. Nylén & U. Snis - forthcoming - Proceedings of Swedish Ai Society, Linköping.
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  9. Using Simulation in the Assessment of Voting Procedures: An Epistemic Instrumental Approach.Marc Jiménez Rolland, Julio César Macías-Ponce & Luis Fernando Martínez-Álvarez - forthcoming - Simulation: Transactions of the Society for Modeling and Simulation International:1-8.
    In this paper, we argue that computer simulations can provide valuable insights into the performance of voting methods on different collective decision problems. This could improve institutional design, even when there is no general theoretical result to support the optimality of a voting method. To support our claim, we first describe a decision problem that has not received much theoretical attention in the literature. We outline different voting methods to address that collective decision problem. Under certain criteria of assessment akin (...)
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  10. Computational Logic. Vol. 1: Classical Deductive Computing with Classical Logic. 2nd Ed.Luis M. Augusto - 2022 - London: College Publications.
    This is the 3rd edition. Although a number of new technological applications require classical deductive computation with non-classical logics, many key technologies still do well—or exclusively, for that matter—with classical logic. In this first volume, we elaborate on classical deductive computing with classical logic. The objective of the main text is to provide the reader with a thorough elaboration on both classical computing – a.k.a. formal languages and automata theory – and classical deduction with the classical first-order predicate calculus with (...)
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  11. Classification of Alzheimer’s Disease Using Traditional Classifiers with Pre-Trained CNN.Husam R. Almadhoun & Samy S. Abu-Naser - 2021 - International Journal of Academic Health and Medical Research (IJAHMR) 5 (4):17-21.
    Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from medical (...)
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  12. The Property “Arithmetic-is-Recursive” on a Cone.Uri Andrews, Matthew Harrison-Trainor & Noah Schweber - 2021 - Journal of Mathematical Logic 21 (3).
    We say that a theory T satisfies arithmetic-is-recursive if any X′-computable model of T has an X-computable copy; that is, the models of T satisfy a sort of jump inversion. We give an example of a...
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  13. Languages, Machines, and Classical Computation.Luis M. Augusto - 2021 - London, UK: College Publications.
    3rd ed, 2021. A circumscription of the classical theory of computation building up from the Chomsky hierarchy. With the usual topics in formal language and automata theory.
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  14. A Henkin-Style Completeness Proof for the Modal Logic S5.Bruno Bentzen - 2021 - In Pietro Baroni, Christoph Benzmüller & Yì N. Wáng (eds.), Logic and Argumentation: Fourth International Conference, CLAR 2021, Hangzhou, China, October 20–22. Springer. pp. 459-467.
    This paper presents a recent formalization of a Henkin-style completeness proof for the propositional modal logic S5 using the Lean theorem prover. The proof formalized is close to that of Hughes and Cresswell, but the system, based on a different choice of axioms, is better described as a Mendelson system augmented with axiom schemes for K, T, S4, and B, and the necessitation rule as a rule of inference. The language has the false and implication as the only primitive logical (...)
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  15. Trust and Trust-Engineering in Artificial Intelligence Research: Theory and Praxis.Melvin Chen - 2021 - Philosophy and Technology 34 (4):1429-1447.
    In this paper, I will identify two problems of trust in an AI-relevant context: a theoretical problem and a practical one. I will identify and address a number of skeptical challenges to an AI-relevant theory of trust. In addition, I will identify what I shall term the ‘scope challenge’, which I take to hold for any AI-relevant theory of trust that purports to be representationally adequate to the multifarious forms of trust and AI. Thereafter, I will suggest how trust-engineering, a (...)
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  16. An Ontology-Based Approach for Semantic Interoperability in Air Traffic Information Management航空交通管理における意味的な相互運用性のためのオントロジーの構築と応用.Shusaku Egami, Xiaodong Lu, Tadashi Koga & Yasuto Sumiya - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-F_1-12.
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  17. Bigger Isn’T Better: The Ethical and Scientific Vices of Extra-Large Datasets in Language Models.Trystan S. Goetze & Darren Abramson - 2021 - WebSci '21 Proceedings of the 13th Annual ACM Web Science Conference (Companion Volume).
    The use of language models in Web applications and other areas of computing and business have grown significantly over the last five years. One reason for this growth is the improvement in performance of language models on a number of benchmarks — but a side effect of these advances has been the adoption of a “bigger is always better” paradigm when it comes to the size of training, testing, and challenge datasets. Drawing on previous criticisms of this paradigm as applied (...)
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  18. Measuring Inconsistency in Some Branching Time Logics.John Grant - 2021 - Journal of Applied Non-Classical Logics 31 (2):85-107.
    Branching time logics have been studied in computer science since the 1980s primarily to model the tree of computations for discrete transition systems. Inconsistency measures for propositional log...
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  19. Searching for Distress of Similar Situation From CQA ContentCQAコンテンツからの状況が類似する悩みの検索.Tomoya Hashiguchi, Takehiro Yamamoto, Sumio Fujita & Hiroaki Ohshima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-B_1-13.
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  20. Recommendation Algorithms, a Neglected Opportunity for Public Health.Lê Nguyên Hoang, Louis Faucon & El-Mahdi El-Mhamdi - 2021 - Revue Médecine et Philosophie 4 (2):16-24.
    The public discussion on artificial intelligence for public health often revolves around future applications like drug discovery or personalized medicine. But already deployed artificial intelligence for content recommendation, especially on social networks, arguably plays a far greater role. After all, such algorithms are used on a daily basis by billions of users worldwide. In this paper, we argue that, left unchecked, this enormous influence of recommendation algorithms poses serious risks for public health, e.g., in terms of misinformation and mental health. (...)
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  21. Measuring Violations of Positive Involvement in Voting.Wesley H. Holliday & Eric Pacuit - 2021 - Electronic Proceedings in Theoretical Computer Science 335:189-209.
    In the context of computational social choice, we study voting methods that assign a set of winners to each profile of voter preferences. A voting method satisfies the property of positive involvement (PI) if for any election in which a candidate x would be among the winners, adding another voter to the election who ranks x first does not cause x to lose. Surprisingly, a number of standard voting methods violate this natural property. In this paper, we investigate different ways (...)
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  22. Time-Sequential Variational Conditional Auto-Encoders for Recommendation行動時刻を考慮した条件付き変分オートエンコーダによる推薦システム.Jun Hozumi, Yusuke Iwasawa & Yutaka Matsuo - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):C-KB7_1-10.
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  23. Fast Block Coordinate Descent for Sparse Group LassoSparse Group Lassoのための高速なBlock Coordinate Descent.Yasutoshi Ida, Yasuhiro Fujiwara & Hisashi Kashima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):A-JB1_1-11.
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  24. Exploring Machine Learning Techniques for Coronary Heart Disease Prediction.Hisham Khdair - 2021 - International Journal of Advanced Computer Science and Applications 12 (5):28-36.
    Coronary Heart Disease (CHD) is one of the leading causes of death nowadays. Prediction of the disease at an early stage is crucial for many health care providers to protect their patients and save lives and costly hospitalization resources. The use of machine learning in the prediction of serious disease events using routine medical records has been successful in recent years. In this paper, a comparative analysis of different machine learning techniques that can accurately predict the occurrence of CHD events (...)
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  25. Functional and Structural Models of Commonsense Reasoning in Cognitive Architectures.Antonio Lieto - 2021 - VISCA 2021 - 2nd Virtual International Symposium on Cognitive Architecture.
    I will present two different applications - Dual PECCS and the TCL reasoning framework - addressing some crucial aspects of commonsense reasoning (namely: dealing with typicality effects and with the problem of commonsense compositionality) in a way that is integrated or compliant with different cognitive architectures. In doing so I will show how such aspects are better dealt with at different levels of representation and will discuss the adopted solution to integrate such representational layers.
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  26. “Excavating AI” Re-Excavated: Debunking a Fallacious Account of the JAFFE Dataset.Michael J. Lyons - 2021 - arXiv 2107:1-20.
    Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the (...)
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  27. Ethical Aspects of Multi-Stakeholder Recommendation Systems.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - 2021 - The Information Society 37 (1):35–⁠45.
    This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical welfare (...)
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  28. The Fantasy of Mind-Uploading. Defaults and the Ends of Junk.Adrian Mróz - 2021 - Kultura I Historia 39 (1).
    From a behaviorist perspective, the desire to upload “minds” is already being realized on a mass, hyper-industrial scale thanks to the convergence of cognitive computing and Big Data. The accusation is that the “mind” is not an entity that exists intracranially. Instead, it is conceived as a process of individuation, which occurs in different modes and numbers. Some narratives of mind-uploading and technics in popular culture are explored: Transcendence (2014, dir. Wally Pfister) and Player Piano by Kurt Vonnegut. The discussed (...)
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  29. Prediction of Online Purchasing Behavior of Cameras UsingWeb Search Logsウェブ検索ログからのカメラのオンライン購買行動予測.Yusei Nakata, Naoki Muramoto, Takehiro Yamamoto, Sumio Fujita & Hiroaki Ohshima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-C_1-10.
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  30. Non-Stationary Stochastic Multi-Armed Bandit Problems with External Information on Stationarity時間変化に関する外部情報を考慮した非定常多腕バンディット問題.Hiroyuki Namba - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):D-K84_1-11.
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  31. Morality-Based Analysis of Viewer’s Comments on Internet TV News Programネットテレビのニュース番組に投稿される視聴者コメントの道徳性に基づく分析.Tomosato Nishi, Yuki Ogawa, Fumiaki Taka, Masanori Takano, Soichiro Morishita & Hiromitsu Hattori - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-E_1-9.
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  32. Effects of Incomplete Utterance on Conversational Engagement in a Multiparty Conversation多人数会話を構成するロボットの言葉足らずな発話が人の会話への参加態度に及ぼす影響.Yusaku Nishiwaki, Naoki Ohshima & Michio Okada - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):B-K44_1-12.
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  33. Fast and Accurate Driver Action Recognition with Multi-Task Learning of Driver Pose and Actionドライバ姿勢と動作のマルチタスク学習による高速かつ高精度なドライバ動作認識.Kenta Nishiyuki, Tadashi Hyuga, Hiroshi Tasaki, Koichi Kinoshita, Yuki Hasegawa, Takayoshi Yamashita & Hironobu Fujiyoshi - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):A-K93_1-10.
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  34. Semi-Autonomous Telepresence Robot Architecture for Adaptively Switching Between Remote and Autonomous Operation遠隔操作と自律操作を適応的に切り替える半自律テレプレゼンスロボットアーキテクチャ.Kohei Okuoka, Masahiko Osawa & Michita Imai - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):D-K47_1-12.
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  35. Identification of Babbitt Damage and Excessive Clearance in Journal Bearings Through an Intelligent Recognition Approach.Joel Pino Gómez, Fidel Ernesto Hernández Montero, Julio César Gómez Mancilla & Yenny Villuendas Rey - 2021 - International Journal of Advanced Computer Science and Applications 12 (4):526-533.
    Journal bearings play an important role on many rotating machines placed on industrial environments, especially in steam turbines of thermoelectric power plants. Babbitt damage (BD) and excessive clearance (C) are usual faults of steam turbine journal bearings. This paper is focused on achieving an effective identification of these faults through an intelligent recognition approach. The work was carried out through the processing of real data obtained from an industrial environment. In this work, a feature selection procedure was applied in order (...)
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  36. 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 the humanities (...)
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  37. Weasel Finder: Highlighting Ambiguous Sentences for Promoting Critical Web BrowsingWeasel Finder:文章表現の曖昧さ指摘による批判的なウェブ情報探索の促進.Fumiaki Saito & Yusuke Yamamoto - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-H_1-13.
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  38. An Analytics on Consumers’ Behavior of Buying Olive Oil and Its Application to Local Physical Shop広域の消費者購買データに基づくオリーブオイル購買の傾向分析と地域実店舗への適用.Asuka Sakai, Hiroaki Maruhashi, Yukinobu Hamuro, Munehiko Sasajima, Naoki Katoh & Takeaki Uno - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-I_1-12.
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  39. A Dialogue SystemMaking Humor by Pseudo Mishearing of a Part of Users’ Queries Based on Examples用例に基づく疑似的な聞き間違いによりユーモア表現を生成する対話システム.Yosuke Seki - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):C-KA3_1-10.
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  40. Policy Gradients with Memory-Augmented CriticPolicy Gradients with Memory-Augmented Critic.Takuma Seno & Michita Imai - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):B-K71_1-8.
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  41. Péter on Church's Thesis, Constructivity and Computers.Mate Szabo - 2021 - In Liesbeth De Mol, Andreas Weiermann, Florin Manea & David Fernández-Duque (eds.), Connecting with Computability. Proceedings of Computability in Europe. pp. 434-445.
    Abstract The aim of this paper is to take a look at Péter's talk "Rekursivität und Konstruktivität" delivered at the Constructivity in Mathematics Colloquium in 1957, where she challenged Church's Thesis from a constructive point of view. The discussion of her argument and motivations is then connected to her earlier work on recursion theory as well as her later work on theoretical computer science.
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  42. Student-T Variational Autoencoder for Robust Multivariate Density EstimationStudent-T VAEによるロバスト確率密度推定.Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi & Hisashi Kashima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):A-KA4_1-9.
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  43. Context-Aware Music Recommender System Based on Implicit Feedback.Yasufumi Takama, Jing-Cheng Zhang & Hiroki Shibata - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-D_1-10.
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  44. Extraction of Important Pages of Shareholder Convocation Notices Using Deep Learning by Automatic Generation of Training Data学習データの自動生成による深層学習を用いた株主招集通知の重要ページ抽出.Kaito Takano, Hiroyuki Sakai & Kei Nakagawa - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-G_1-19.
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  45. Contribution Analysis of Video Advertising with Topic Model and Ensemble Learningアンサンブル学習とLDAの統合による動画広告効果の要因分析.Eiji Toyosawa Sakihama, Yasukazu Kawasaki & Eiji Motohashi - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):B-K91_1-8.
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  46. An Expert System for Ankle Problems.Basel Y. Elhabil & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (4):57-66.
    Abstract— Anatomy of the anterior compartment includes the tibia and the fibula. It also includes the tibialis anterior tendon, the extensor hallucis longus tendon and the extensor digitorum longus tendons. The anterior tibial artery and the deep peroneal nerve and finally the superior and inferior extensor retinaculum. In this paper an expert system was designed to help users to correctly diagnose ankle problems. There are many structures present at the anterior aspect of the ankle; these structures are often susceptible to (...)
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  47. Aspects Classification on Restaurant Reviews with Pseudo Corpus擬似コーパスを用いた飲食店レビューの観点の自動分類.Ryosuke Yamanishi, Hiroko Fujioka & Yoko Nishihara - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-A_1-8.
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  48. 全球研究报告——东南亚.Jonathan Adams, David Pendlebury, Gordon Rogers & Martin Szomszor - 2020 - 科学观察 15 (3):54-65.
    Jonathan Adams, David Pendlebury, Gordon Rogers, Martin Szomszor. 全球研究报告——东南亚[J]. 科学观察, 2020, 15(3): 54-65.
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  49. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  50. Handwritten Signature Verification Using Deep Learning.Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (12):39-44.
    Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...)
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1 — 50 / 477