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arXiv 2020年

作者： Haibe-Kains, Benjamin Adam, George Alexandru Hosny, Ahmed Khodakarami, Farnoosh Waldron, Levi Wang, Bo McIntosh, Chris Kundaje, Anshul Greene, Casey S. Hoffman, Michael M. Leek, Jeffrey T. Huber, Wolfgang Brazma, Alvis Pineau, Joelle Tibshirani, Robert Hastie, Trevor Ioannidis, John P.A. Quackenbush, John Aerts, Hugo J.W.L. Princess Margaret Cancer Centre University Health Network TorontoON Canada Department of Medical Biophysics University of Toronto TorontoON Canada Department of Computer Science University of Toronto TorontoON Canada Ontario Institute for Cancer Research TorontoON Canada Vector Institute for Artificial Intelligence TorontoON Canada Program Brigham and Women's Hospital Harvard Medical School BostonMA United States Radiation Oncology and Radiology Dana-Farber Cancer Institute Brigham and Women's Department of Epidemiology and Biostatistics Institute for Implementation Science in Population Health CUNY Graduate School of Public Health and Health Policy New YorkNY United States Peter Munk Cardiac Centre University Health Network TorontoON Canada Hospital Harvard Medical School BostonMA United States Department of Genetics Stanford University School of Medicine StanfordCA United States Dept. of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Childhood Cancer Data Lab Alex's Lemonade Stand Foundation PhiladelphiaPA United States Department of Biostatistics Johns Hopkins Bloomberg School of Public Health BaltimoreMD United States European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany European Molecular Biology Laboratory European Bioinformatics Institute EMBL-EBI Hinxton United Kingdom McGill University MontrealQC Canada Montreal Institute for Learning Algorithms QC Canada StanfordCA United States Department of Biomedical Data Science Stanford University School of Medicine StanfordCA United States Departments of Medicine of Health Research and Policy and of Biomedical Data Science Stanford University School of Medicine StanfordCA United States Department of Statistics Stanford University School of Humanities and Sciences StanfordCA United States Department of Biostatistics Harvard T.H Chan School of Public Health BostonMA Un

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines its scientific value. We identify obstacles hindering transparent and reproducible AI research as faced by McKinney et al and provide solutions with implications for the broader field. Copyright © 2020, The Authors. All rights reserved.

关键词： artificial intelligence

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Modeling failure rate time series by a fuzzy arithmetic-based inference system

Modeling failure rate time series by a fuzzy arithmetic-base...

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International Symposium on Computational intelligence and Informatics

作者： Tamás Jónás Zsuzsanna Eszter Tóth József Dombi Department of Management and Corporate Economics Budapest University of Technology and Economics Budapest Hungary Department of Computer Algorithms and Artificial0 Intelligence University of Szeged Szeged Hungary

ISBN: (纸本)9781509039104

In this study, a fuzzy arithmetic based inference system is introduced to model and forecast linear trends of empirical failure rate time series. Here, a simple heuristic is introduced to form the membership functions of the fuzzy rule antecedents, while each rule consequent is treated as a fuzzy number composed of a left hand side and a right hand side fuzzy set, each of which is given by a sigmoid membership function. The novelty of the proposed method lies in the application of pliant arithmetics to aggregate separately the left hand sides and the right hand sides of the individual fuzzy consequents, taking the activation levels of the corresponding antecedents into account. Here, Dombi's conjunction operator is applied to form the fuzzy output from the aggregates of the left hand side and right hand side sigmoid functions. The introduced defuzzification method does not require any numerical integration and its speed is independent of the number of fuzzy rules. The output of the pliant arithmetic based fuzzy inference system is used to predict linear trends of failure rate time series. Next, the modeling capability of the introduced methodology is compared to that of an Adaptive Neuro-Fuzzy Inference System. Based on the results, our method may be viewed as a viable alternative modeling and prediction technique.

关键词： Time series analysis Fuzzy sets Fuzzy logic Pragmatics Market research Aggregates Computational intelligence

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A novell approach on evolutionary dynamics analysis - A progress report 1

A novell approach on evolutionary dynamics analysis - A prog...

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1st EAI International Conference on computer Science and Engineering, COMPSE 2016

作者： Zelinka, Ivan Vasant, Pandian Dao, Tran Trong Hoang, Duy Vo Department of Computer Science VSB Technical University of Ostrava FEI Tr. 17. Listopadu 15 Ostrava Czech Republic Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Seri Iskandar32610 Malaysia Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam

ISBN: (纸本)9781631901362

In this paper we discuss the possibility of novel mutual fusion of evolutionary algorithms, complex networks, strange dynamics and hidden attractors. As demonstrated in previous research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa, chaos can be observed also in the evolutionary dynamics. We pro-pose a novel approach non how to analyze and control dynamic of evolutionary algorithm and also discuss possibility on strange dynamics analysis that is a part of dynamic of evolutionary algorithms. In any words, we propose to understand algorithms as a discrete dynamical system that exhibit wide spectra behavior that can be controlled and analyzed.

关键词： Evolutionary algorithms

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A knowledge discovery based approach to long-term forecasting of demand for electronic spare parts

A knowledge discovery based approach to long-term forecastin...

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International Symposium on Computational intelligence and Informatics

This paper deals with modeling and predicting purchase life-cycles of electronic spare parts that are supplied to the repair vendors by companies which provide the so-called spare parts logistics service. We introduce a soft computational method that can be used to discover the typical purchase life-cycles of end-of-life spare parts that belong to the same commodity class. In our approach, the discovered knowledge is embodied by typical demand models which can be utilized to forecast the demand for active spare parts, that is, for components for which there are current demands. We apply a fuzzy similarity based approach to generate the forecast from the typical demand models. The introduced forecasting method is advantageous in long-term prediction, it can be especially useful in supporting purchase planning decisions in the ramp-up and declining phases of purchase life-cycles. The application of our method is demonstrated through real-life examples.

关键词： Time series analysis Predictive models Consumer electronics Forecasting Maintenance engineering Computational modeling Companies

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Complex network analysis of public transportation networks: A comprehensive study

Complex network analysis of public transportation networks: ...

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International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

作者： Andor Háznagy István Fi András London Tamás Nemeth Department of Highway and Railway Engineering Budapest University of Technology and Economics Department of Computational Optimization University of Szeged Department of Computer Algorithms and Artificial Intelligence University of Szeged

In this study, using the network approach, we analyzed the urban public transportation systems of 5 Hungarian cities. We performed a comprehensive network analysis of the systems with the main goal of identifying significant similarities and differences of the transportation networks of these cities. Although previous studies often investigated unweighted networks, one novelty of our study is to consider directed and weighted links, where the weights represent the capacities of the vehicles (bus, tram, trolleybus) in the morning peak hours. In particular, we calculated descriptors of global network characteristic and various centrality measures of the network nodes in both the weighted case and unweighted case. By comparing the results obtained for the different cities, we get a highly detailed picture of the differences in the organization of the public transport, which may due to historical and geographical factors. Also, by comparing the results obtained from the weighted and unweighted approaches, we can identify which are the most sensitive routes and stations of the network pointing out some organizational inconsistencies of the transportation system.

关键词： Cities and towns Vehicles Complex networks Schedules Shape

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Simulating turing machines with polarizationless P systems with active membranes

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in artificial intelligence and Lecture Notes in Bioinformatics) 2014年 8961卷 229-240页

作者： Gazdag, Zsolt Kolonits, Gábor Gutiérrez-Naranjo, Miguel A Department of Algorithms and Their Applications Eötvös Loránd University Budapest Hungary Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla41012 Spain

We prove that every single-tape deterministic Turing machine working in t(n) time, for some function t : N → N, can be simulated by a uniform family of polarizationless P systems with active membranes. Moreover, this is done without significant slowdown in the working time. Furthermore, if log t(n) is space constructible, then the members of the uniform family can be constructed by a family machine that uses O(log t(n)) space. ©Springer International Publishing Switzerland 2014.

关键词： Turing machines

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Solving the ST-connectivity problem with pure membrane computing techniques

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in artificial intelligence and Lecture Notes in Bioinformatics) 2014年 8961卷 215-228页

作者： Gazdag, Zsolt Gutiérrez-Naranjo, Miguel A. Department of Algorithms and Their Applications Eötvös Loránd University Budapest Hungary Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla41012 Spain

In Membrane Computing, the solution of a decision problemX belonging to the complexity class P via a polynomially uniform familyof recognizer P systems is trivial, since the polynomial encoding of theinput can involve the solution of the problem. The design of such solutionhas one membrane, two objects, two rules and one computation *** sensu, it is a solution in the framework of Membrane Computing,but it does not use Membrane Computing strategies. In this paper, wepresent three designs of uniform families of P systems that solve the decisionproblem STCON by using Membrane Computing strategies (pureMembrane Computing techniques): P systems with membrane creation,P systems with active membranes with dissolution and without polarizationsand P systems with active membranes without dissolution andwith polarizations. Since STCON is NL-complete, such designs are constructiveproofs of the inclusion of NL in PMCMC, PMCAM0+d and PMCAM+−d. © Springer International Publishing Switzerland 2014.

关键词： Dissolution

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Multi-agent programming contest 2013: The teams and the design of their systems

Multi-agent programming contest 2013: The teams and the desi...

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1st International Workshop on Engineering Multi-Agent Systems, EMAS 2013

作者： Ahlbrecht, Tobias Bender-Saebelkampf, Christian De Brito, Maiquel Christensen, Nicolai Christian Dix, Jürgen Franco, Mariana Ramos Heller, Hendrik Hess, Andreas Viktor Heßler, Axel Hübner, Jomi Fred Jensen, Andreas Schmidt Johnsen, Jannick Boese Köster, Michael Li, Chengqian Liu, Lu Morato, Marcelo Menezes Ørum, Philip Bratt Schlesinger, Federico Schmitz, Tiago Luiz Sichman, Jaime Simão De Souza, Kaio Siqueira Uez, Daniela Maria Villadsen, Jørgen Werner, Sebastian Woller, Øyvind Grønland Zatelli, Maicon Rafael Department of Informatics Clausthal University of Technology Julius-Albert-Str. 4 38678 Clausthal-Zellerfeld Germany Dept. of Computer Science Sun Yat-sen University Guangzhou 510006 China Algorithms Logic and Graphs Section Department of Applied Mathematics and Computer Science Technical University of Denmark Matematiktorvet DK-2800 Kongens Lyngby Denmark Brazil Distributed Artificial Intelligence Laboratory Technische Universität Berlin Germany Department of Automation and Systems Engineering Federal University of Santa Catarina CP 476 88040-900 Florianópolis - SC Brazil

ISBN: (纸本)9783642453427

Five teams participated in the Multi-Agent Programming Contest in 2013: All of them gained experience in 2012 already. In order to better understand which paradigms they used, which techniques they considered important and how much work they invested, the organisers of the contest compiled together a detailed list of questions (circa 50). This paper collects all answers to these questions as given by the teams. © 2013 Springer-Verlag.

关键词： Multi agent systems

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A spiking neural P system simulator based on CUDA

A spiking neural P system simulator based on CUDA

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12th International Conference on Membrane Computing, CMC 2011

作者： Cabarle, Francis George C. Adorna, Henry Martínez, Miguel A. Algorithms and Complexity Lab. Department of Computer Science University of the Philippines Diliman Diliman 1101 Quezon City Philippines Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Seville Avda. Reina Mercedes s/n 41012 Sevilla Spain

ISBN: (纸本)9783642280238

In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics processing units (GPUs). In particular we implement the simulator using NVIDIA CUDA enabled GPUs. The massively parallel architecture of current GPUs is very suitable for the maximally parallel computations of SNP systems. We simulate a wider variety of SNP systems, after presenting a previous work on SNP system matrix representation which led to their simulation in GPUs, and the simulation algorithm included here. Finally, we compare and present the performance speedups of the CPU-GPU based simulator over the CPU only simulator. © 2012 Springer-Verlag.

关键词： Graphics processing unit

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Mesh simplification for 3D modeling using evolutionary multi-objective optimization

Mesh simplification for 3D modeling using evolutionary multi...

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Congress on Evolutionary Computation

作者： B. Rosario Campomanes-Álvarez Sergio Damas Óscar Cordón Fuzzy and Evolutionary Algorithms Research Unit European Centre for Soft Computing Mieres Asturias Spain Department of Computer Science and Artificial Intelligence Research Center on Information and Communication Technologies University of Granada Granada Spain

ISBN: (纸本)9781467315104

Polygonal surface models are typically used in three-dimensional (3D) visualizations and simulations. They are obtained by laser scanners, computer vision systems or medical imaging devices to model highly detailed object surfaces. Surface mesh simplification aims to reduce the number of faces used in a 3D model while keeping the overall shape, boundaries, and volume. In this work, we propose to deal with the mesh simplification problem from an evolutionary multi-objective viewpoint. The quality of a solution is defined by two conflicting objectives: the accuracy and the simplicity of the model. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is adapted to tackle the problem. We compare the NSGA-II performance with a classical approach and a single-objective implementation. The comparison has been carried out using different datasets.

关键词： Approximation methods Surface topography Computational modeling Solid modeling Approximation algorithms Arrays Measurement

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