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检索条件"机构=Informatics and Computing Program"
387 条 记 录,以下是211-220 订阅
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
arXiv
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arXiv 2024年
作者: Papamarkou, Theodore Skoularidou, Maria Palla, Konstantina Aitchison, Laurence Arbel, Julyan Dunson, David Filippone, Maurizio Fortuin, Vincent Hennig, Philipp Hernández-Lobato, José Miguel Hubin, Aliaksandr Immer, Alexander Karaletsos, Theofanis Khan, Mohammad Emtiyaz Kristiadi, Agustinus Li, Yingzhen Mandt, Stephan Nemeth, Christopher Osborne, Michael A. Rudner, Tim G.J. Rügamer, David Teh, Yee Whye Welling, Max Wilson, Andrew Gordon Zhang, Ruqi Department of Mathematics The University of Manchester Manchester United Kingdom Eric and Wendy Schmidt Center Broad Institute of MIT and Harvard Cambridge United States Spotify London United Kingdom Computational Neuroscience Unit University of Bristol Bristol United Kingdom Centre Inria de l'Université Grenoble Alpes Grenoble France Department of Statistical Science Duke University United States Statistics Program KAUST Saudi Arabia Helmholtz AI Munich Germany Department of Computer Science Technical University of Munich Munich Germany Munich Center for Machine Learning Munich Germany Tübingen AI Center University of Tübingen Tübingen Germany Department of Engineering University of Cambridge Cambridge United Kingdom Department of Mathematics University of Oslo Oslo Norway Bioinformatics and Applied Statistics Norwegian University of Life Sciences Ås Norway Department of Computer Science ETH Zurich Switzerland Chan Zuckerberg Initiative CA United States Center for Advanced Intelligence Project RIKEN Tokyo Japan Vector Institute Toronto Canada Department of Computing Imperial College London London United Kingdom Department of Computer Science UC Irvine Irvine United States Department of Mathematics and Statistics Lancaster University Lancaster United Kingdom Department of Engineering Science University of Oxford Oxford United Kingdom Center for Data Science New York University New York United States Department of Statistics LMU Munich Munich Germany DeepMind London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Informatics Institute University of Amsterdam Amsterdam Netherlands Courant Institute of Mathematical Sciences Center for Data Science Computer Science Department New York University New York United States Department of Computer Science Purdue University West Lafayette United States
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets. However, a broader perspective... 详细信息
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SAMENESS ENTICES, BUT NOVELTY ENCHANTS IN FANFICTION ONLINE
arXiv
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arXiv 2019年
作者: Jing, Elise DeDeo, Simon Wright, Devin Robert Ahn, Yong-Yeol Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University Bloomington United States Social and Decision Sciences Dietrich College Carnegie Mellon University United States Sirius XM United States Cognitive Science Program Indiana University Bloomington United States Indiana University Network Science Institute Indiana University Bloomington United States
Cultural evolution is driven by how we choose what to consume and share with others. A common belief is that the cultural artifacts that succeed are ones that balance novelty and conventionality. This balance theory s... 详细信息
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Detecting anomalous citation groups in journal networks
arXiv
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arXiv 2020年
作者: Kojaku, Sadamori Livan, Giacomo Masuda, Naoki Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Computer Science University College London LondonWC1E 6EA United Kingdom Systemic Risk Centre London School of Economics and Political Science LondonWC2A 2AE United Kingdom Department of Mathematics University at Buffalo State University of New York BuffaloNY United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-2900 United States Faculty of Science and Engineering Waseda University Tokyo169-8555 Japan
The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more selective, and, ultimately, into higher p... 详细信息
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Adaptability and Neural Reuse in Minimally Cognitive Agents  39
Adaptability and Neural Reuse in Minimally Cognitive Agents
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39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
作者: Setzler, Matthew Izquierdo, Eduardo J. Cognitive Science Program Indiana University BloomingtonIN47408 United States Cognitive Science Program School of Informatics and Computing Indiana University BloomingtonIN47408 United States
Cognitive agents are continuously faced with new problems. To facilitate adaptation, emerging theories of neural reuse propose that evolution might often favor re-purposing existing brain structures for new functions.... 详细信息
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A Benchmark for Iris Location and a Deep Learning Detector Evaluation
A Benchmark for Iris Location and a Deep Learning Detector E...
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International Joint Conference on Neural Networks
作者: Evair Severo Rayson Laroca Cides S. Bezerra Luiz A. Zanlorensi Daniel Weingaertner Gladston Moreira David Menotti Postgraduate Program in Informatics Federal University of Paraná (UFPR) Curitiba Paraná Brazil Computing Department Federal University of Ouro Preto (UFOP) Ouro Preto Minas Gerais Brazil
The iris is considered as the biometric trait with the highest unique probability. The iris location is an important task for biometrics systems, affecting directly the results obtained in specific applications such a... 详细信息
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The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
The Impact of Preprocessing on Deep Representations for Iris...
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Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI)
作者: Luiz A. Zanlorensi Eduardo Luz Rayson Laroca Alceu S. Britto Luiz S. Oliveira David Menotti Department of Informatics Federal University of Paraná (UFPR) Curitiba PR Brazil Computing Department Federal University of Ouro Preto (UFOP) Ouro Preto MG Brazil Postgraduate Program in Informatics Pontifical Catholic University of Paraná (PUCPR) Curitiba PR Brazil
The use of iris as a biometric trait is widely used because of its high level of distinction and uniqueness. Nowadays, one of the major research challenges relies on the recognition of iris images obtained in visible ... 详细信息
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Performance Evaluation of Apache Hadoop Benchmarks under a Dynamic Checkpointing Mechanism
Performance Evaluation of Apache Hadoop Benchmarks under a D...
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Computer Science Society (SCCC) International Conference Chilean FLAGGED
作者: Paulo Vinicius Cardoso Patricia Pitthan Barcelos Post Graduation Program in Informatics Federal University of Santa Maria Santa Maria RS Brazil Computing Systems Laboratory Federal University of Santa Maria Santa Maria RS Brazil
The increasingly robust High Performance computing (HPC) systems have promoted many researches on fault tolerance mechanisms. However, the efficiency of these techniques is an important challenge, as the data and reso... 详细信息
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Author Correction: A policy-driven framework for conserving the best of Earth's remaining moist tropical forests
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Nature ecology & evolution 2024年 第12期8卷 2336页
作者: Andrew J Hansen Patrick Burns Jamison Ervin Scott J Goetz Matthew Hansen Oscar Venter James E M Watson Patrick A Jantz Anne L S Virnig Kevin Barnett Rajeev Pillay Scott Atkinson Christina Supples Susana Rodríguez-Buritica Dolors Armenteras Department of Ecology Montana State University Bozeman MT USA. hansen@montana.edu. School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA. United Nations Development Programme New York NY USA. Department of Geographical Sciences University of Maryland College Park MD USA. Natural Resources and Environmental Studies Institute University of Northern British Columbia Prince George British Columbia Canada. Centre for Biodiversity and Conservation Science The University of Queensland Brisbane Queensland Australia. School of Earth and Environmental Sciences The University of Queensland Brisbane Queensland Australia. Global Conservation Program Wildlife Conservation Society New York NY USA. Department of Ecology Montana State University Bozeman MT USA. Instituto de Investigación de Recursos Biológicos Alexander von Humboldt Bogotá Colombia. Departamento de Biología Facultad de Ciencias Universidad Nacional de Colombia Bogotá Colombia.
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Tracking COVID-19 using online search
arXiv
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arXiv 2020年
作者: Lampos, Vasileios Majumder, Maimuna S. Yom-Tov, Elad Edelstein, Michael Moura, Simon Hamada, Yohhei Rangaka, Molebogeng X. McKendry, Rachel A. Cox, Ingemar J. Department of Computer Science University College London London United Kingdom Computational Health Informatics Program Boston Children's Hospital BostonMA United States Department of Pediatrics Harvard Medical School BostonMA United States Microsoft Research Herzeliya Israel National Infection Service Public Health England London United Kingdom Institute for Global Health University College London London United Kingdom Division of Epidemiology and Biostatistics University of Cape Town Cape Town South Africa London Centre for Nanotechnology University College London London United Kingdom Division of Medicine University College London London United Kingdom Centre for Communication and Computing University of Copenhagen Copenhagen Denmark
Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about... 详细信息
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The association for the advancement of artificial intelligence 2020 workshop program
The association for the advancement of artificial intelligen...
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作者: Bang, Grace Barash, Guy Bea, Ryan Cali, Jacques Castillo-Effen, Mauricio Chen, Xin Cynthia Chhaya, Niyati Dhoopar, Rohan Dumancic, Sebastijan Espinoza, Huáscar Farchi, Eitan Fioretto, Ferdinando Fuentetaja, Raquel Galley, Michel Geib, Christopher Hernández-Orallo, José Huang, Xiaowei Keren, Sarah Kim, Seokhwan Jaidka, Kokil Liu, Xiaomo Lu, Tyler Ma, Zhiqiang Mallah, Richard McDermid, John Michalowski, Martin Mirsky, Reuth Héigeartaigh, Seán Ó. Ramachandran, Deepak Segovia-Aguas, Javier Shaban-Nejad, Arash Shehory, Onn Shwartz, Vered Srivastava, Siddharth Talamadupula, Kartik Tang, Jian Zhang, Dell Zhang, Jian S&P Global. Western Digital University of Southampton United Kingdom Blue Prism Group PLC Lockheed Martin's Advanced Technology Laboratories ArlingtonVA United States University of Hong Kong Hong Kong Adobe Research Google Research Katholieke Universiteit Leuven Belgium Commissariat à ĺÉnergie Atomique France IBM Research Department of Electrical Engineering and Computer Science Syracuse University United States Universidad Carlos III de Madrid Spain Microsoft Research AI SIFT LLC Universitat Politècnica de València Spain Leverhulme Centre for the Future of Intelligence United Kingdom Department of Computer Science University of Liverpool United Kingdom National University of Singapore Singapore Harvard School of Engineering and Applied Sciences in the of Fields of Multiagent Environment Design and Goal Recognition Design Amazon Alexa AI Future of Life Institute United States University of York Assuring Autonomy International Program United Kingdom University of Minnesota School of Nursing MinneapolisMN United States University of Texas at Austin AustinTX United States Institut de Robòtica i Informàtica Industrial Spanish Council for Scientific Research Technical University of Catalonia Spain Oak Ridge National Laboratory Center for Biomedical Informatics Department of Pediatrics University of Tennessee Health Science Center United States Bar Ilan University Israel University of Washington SeattleWA United States Autonomous Agents and Intelligent Robots lab of the School of Computing Informatics Decision Systems Arizona State University United States DiDi AI Labs School of Industrial and System Engineering Georgia Institute of Technology United States University of London United Kingdom Microsoft Azure
The Association for the Advancement of Artificial Intelligence 2020 Workshop program included twenty-three workshops covering a wide range of topics in artificial intelligence. This report contains the required report...
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