Search Results - "Egri, Attila"

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    The Game Is Not over Yet—Go in the Post-AlphaGo Era by Egri-Nagy, Attila, Törmänen, Antti

    Published in Philosophies (Basel) (01-12-2020)
    “…The game of Go was the last great challenge for artificial intelligence in abstract board games. AlphaGo was the first system to reach supremacy, and…”
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    Journal Article
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    The Algebraic View of Computation: Implementation, Interpretation and Time by Egri-Nagy, Attila

    Published in Philosophies (Basel) (01-06-2018)
    “…Computational implementations are special relations between what is computed and what computes it. Though the word "isomorphism" appears in philosophical…”
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    Journal Article
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    A New Model of Mathematics Education: Flat Curriculum with Self-Contained Micro Topics by Hoffmann, Miklós, Egri-Nagy, Attila

    Published in Philosophies (Basel) (01-09-2021)
    “…The traditional way of presenting mathematical knowledge is logical deduction, which implies a monolithic structure with topics in a strict hierarchical…”
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    Journal Article
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    Group-theoretic models of the inversion process in bacterial genomes by Egri-Nagy, Attila, Gebhardt, Volker, Tanaka, Mark M., Francis, Andrew R.

    Published in Journal of mathematical biology (01-07-2014)
    “…The variation in genome arrangements among bacterial taxa is largely due to the process of inversion. Recent studies indicate that not all inversions are…”
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    Journal Article
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    A Path-Deformation Framework for Determining Weighted Genome Rearrangement Distance by Bhatia, Sangeeta, Egri-Nagy, Attila, Serdoz, Stuart, Praeger, Cheryl E., Gebhardt, Volker, Francis, Andrew

    Published in Frontiers in genetics (24-09-2020)
    “…Measuring the distance between two bacterial genomes under the inversion process is usually done by assuming all inversions to occur with equal probability…”
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    Journal Article
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    Advancing Human Understanding with Deep Learning Go AI Engines by Attila Egri-Nagy, Antti Törmänen

    Published in Proceedings (01-03-2022)
    “…Humans mainly learned from other human beings for thousands of years. Recent advancements in artificial intelligence (AI) seem to have changed this setup. Due…”
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    Journal Article
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    The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go by Egri-Nagy, Attila, Tormanen, Antti

    “…AI engines utilizing deep learning neural networks provide excellent tools for analyzing traditional board games. Here we are interested in gaining new…”
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    Conference Proceeding
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    Identification of the Species of Origin for Meat Products by Rapid Evaporative Ionization Mass Spectrometry by Balog, Julia, Perenyi, Dora, Guallar-Hoyas, Cristina, Egri, Attila, Pringle, Steven D, Stead, Sara, Chevallier, Olivier P, Elliott, Chris T, Takats, Zoltan

    Published in Journal of agricultural and food chemistry (15-06-2016)
    “…Increasingly abundant food fraud cases have brought food authenticity and safety into major focus. This study presents a fast and effective way to identify…”
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    Journal Article
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    Derived metrics for the game of Go - intrinsic network strength assessment and cheat-detection by Egri-Nagy, Attila, Tormanen, Antti

    “…The widespread availability of superhuman AI engines is changing how we play the ancient game of Go. The open-source software packages developed after the…”
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    Conference Proceeding
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    Cross-correlation based clustering and dimension reduction of multivariate time series by Egri, Attila, Horvath, Illes, Kovacs, Ferenc, Molontay, Roland, Varga, Krisztian

    “…In this paper, we investigate dimension reduction possibilities of multidimensional time series data and we introduce a graph based clustering approach using…”
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    Conference Proceeding
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    Central arterial pressure and patient-specific model parameter estimation based on radial pressure measurements by Gyürki, Dániel, Horváth, Tamás, Till, Sára, Egri, Attila, Celeng, Csilla, Paál, György, Merkely, Béla, Maurovich-Horvat, Pál, Halász, Gábor

    “…One-dimensional arterial flow simulations are suitable to estimate the aortic pressure from peripheral measurements in a patient-specific arterial network…”
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    Journal Article
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    Maximum likelihood estimates of pairwise rearrangement distances by Serdoz, Stuart, Egri-Nagy, Attila, Sumner, Jeremy, Holland, Barbara R., Jarvis, Peter D., Tanaka, Mark M., Francis, Andrew R.

    Published in Journal of theoretical biology (21-06-2017)
    “…•A maximum likelihood estimator of genome rearrangement distance is introduced.•Many genome rearrangement models can be studied using tools from group…”
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    Journal Article
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    Algebraic double cut and join: A group-theoretic approach to the operator on multichromosomal genomes by Bhatia, Sangeeta, Egri-Nagy, Attila, Francis, Andrew R.

    Published in Journal of mathematical biology (01-11-2015)
    “…Establishing a distance between genomes is a significant problem in computational genomics, because its solution can be used to establish evolutionary…”
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    Journal Article
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    Enumerating transformation semigroups by East, James, Egri-Nagy, Attila, Mitchell, James D.

    Published in Semigroup forum (01-08-2017)
    “…We describe general methods for enumerating subsemigroups of finite semigroups and techniques to improve the algorithmic efficiency of the calculations. As a…”
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    Journal Article
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    Morphisms (should be) everywhere by Egri-Nagy, Attila, Hoffmann, Miklós

    Published 11-11-2024
    “…Morphisms, structure preserving maps, are everywhere in Mathematics as useful tools for thinking and problem solving, or as objects to study. Here, we argue…”
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    Journal Article
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    From Relation to Emulation and Interpretation: Computer Algebra Implementation of the Covering Lemma for Finite Transformation Semigroups by Egri-Nagy, Attila, Nehaniv, Chrystopher L

    Published 18-04-2024
    “…We give a practical computer algebra implementation of the Covering Lemma for finite transformation semigroups. The lemma states that given a surjective…”
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    Journal Article
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    The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go by Egri-Nagy, Attila, Törmänen, Antti

    Published 24-08-2022
    “…AI engines utilizing deep learning neural networks provide excellent tools for analyzing traditional board games. Here we are interested in gaining new…”
    Get full text
    Journal Article