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When classification accuracy is not enough: Explaining news credibility assessment

Piotr Przybyła, Axel J. Soto
2021 Information Processing & Management  
We evaluated our adapted methods by means of standard machine learning performance metrics and through two user studies.  ...  In this work, we use two machine learning approaches for computing a credibility score for any given news story: one is a linear method trained on stylometric features and the other one is a recurrent  ...  We also thank Ministerio de Ciencia y Tecnología (Argentina) for its grant PIDRI PRH-2017-0007, and Google for its 2020 Latin American Research Award.  ... 
doi:10.1016/j.ipm.2021.102653 fatcat:y54onmjgejd5biglkudo4ar35y

Page 455 of Astronomy and Astrophysics Vol. 143, Issue 2 [page]

1985 Astronomy and Astrophysics  
Due to the difficulty of measuring enough photons in the ultraviolet, for a few other stars the reported anomalies are not statistically significant.  ...  Two filters used by Coyne were different from ours by up to 0.03 ym (and are also shown in Table 1), but the interstellar polarization varies slowly enough with wavelength to allow a meaningful comparison  ... 

Data Processing Benchmarks [article]

Jérôme Darmont
2017 arXiv   pre-print
We also address the newer trends in cloud benchmarking. Finally, we discuss the issues, tradeoffs and future trends for data processing benchmarks.  ...  This leads benchmark users to design more or less elaborate variants of standard tools, when they feel these are not generic enough to fulfill particular needs.  ...  All these aspects of cloud computing are in need of specific benchmarking, a new trend that is currently emerging, e.g., with some of PRIMEBALL's metrics, which not only target transaction performance,  ... 
arXiv:1701.08634v1 fatcat:22lp2aqhubc7bhya5y52oqsoty

Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model

Mehmet C. Demirel, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, Simon Stisen
2018 Hydrology and Earth System Sciences  
These parameterisations are utilised as they are most relevant for simulated AET patterns from the hydrologic model.  ...  Overall 26 parameters are identified for calibration through a sequential screening approach based on a combination of streamflow and spatial pattern metrics.  ...  We would like to thank the three reviewers for their useful and constructive feedback.  ... 
doi:10.5194/hess-22-1299-2018 fatcat:y43mtmmltjhy7pldanlcikr7qm

Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model

Mehmet C. Demirel, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, Simon Stisen
2017 Hydrology and Earth System Sciences Discussions  
These parametrisations are utilized as they are most relevant for simulated AET patterns from the hydrologic model.  ...  Overall 26 parameters are identified for calibration through a sequential screening approach based on a combination of streamflow and spatial pattern metrics.  ...  We would like to thank the three reviewers for their useful and constructive feedback.  ... 
doi:10.5194/hess-2017-570 fatcat:uvmg4bt3czb7fjrb7eqtr35bdi

SLA-aware resource scheduling for cloud storage

Zhihao Yao, Ioannis Papapanagiotou, Robert D. Callaway
2014 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)  
As most on-line services are now hosted on the cloud, customers are requesting Service Level Agreements (SLAs) in order to use cloud services with acceptable Quality of Service.  ...  Nonetheless, the cloud is based on provisioning resources on demand (known as cloud elasticity).  ...  For some sensitive applications, a minimum of three nines (99.9%) of availability is required, whereas for others, low-latency services are more important.  ... 
doi:10.1109/cloudnet.2014.6968962 dblp:conf/cloudnet/YaoPC14 fatcat:dl2jmoevjbddfeothqaf5rslei

Reducing Failure Probability of cloud storage services using Multi-Clouds [article]

Veena Rawat
2013 arXiv   pre-print
It would also reduce the data transfer costs as the entire data is not always required, for e.g. during updates.  ...  If related data are not put together, the information is meaningless as unrelated data has no value. The mapped information is required only by authenticated users.  ...  b) {PwdQuestion, PwdAnswer} This Distribution and Replication: Cloud providers focus on delivering "3 Nines". This availability alone is not enough to meet SLAs of enterprise customers.  ... 
arXiv:1310.4919v1 fatcat:jtjllsevvveldolnwnyia5crzy

Object-based classification of terrestrial laser scanning point clouds for landslide monitoring

Andreas Mayr, Martin Rutzinger, Magnus Bremer, Sander Oude Elberink, Felix Stumpf, Clemens Geitner
2017 Photogrammetric Record  
The 3D point clouds are segmented into morphologically homogeneous and spatially connected parts.  ...  This work presents a point-cloud-based approach for classifying multitemporal scenes of a hillslope affected by shallow landslides.  ...  These points do not meet the criteria for region growing (not enough neighbours (with similar properties) within the search radius) and are almost exclusively points in the vegetation.  ... 
doi:10.1111/phor.12215 fatcat:2bzdtn3nt5grriiqtzacjqp4ha

Particle Cloud Generation with Message Passing Generative Adversarial Networks [article]

Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos
2021 arXiv   pre-print
Existing GANs are found to be inadequate for physics applications, hence we develop a new message passing GAN (MPGAN), which outperforms existing point cloud GANs on virtually every metric and shows promise  ...  for evaluation and loss metrics, and more tools for ML in HEP development.  ...  Their iterative procedure however was proposed for point clouds of at most nine atoms, and does not scale well in terms of time to larger clouds.  ... 
arXiv:2106.11535v2 fatcat:kjvepok7obggvhs7ide3r3eg5y

Quantifying Cloud Performance and Dependability

Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht
2018 ACM Transactions on Modeling and Performance Evaluation of Computing Systems  
, and the definition of new metrics that are unique to cloud computing.  ...  risk for cloud services.  ...  Related Work for Operational Risk Metrics Risk management and resource contention are not new subjects in cloud research.  ... 
doi:10.1145/3236332 fatcat:ne3amvxqdra4pg25leeytv4vn4

MISR stereoscopic image matchers: techniques and results

J.-P. Muller, A. Mandanayake, C. Moroney, R. Davies, D.J. Diner, S. Paradise
2002 IEEE Transactions on Geoscience and Remote Sensing  
Feature-based techniques are used for cloud motion retrieval with the off-nadir MISR camera views, and the motion is then used to provide a correction to the disparities used to measure cloud-top heights  ...  A set of accurate and fast algorithms was developed for automated stereo matching of cloud features to obtain cloud-top height and motion over the nominal six-year lifetime of the mission.  ...  The data evaluated here are currently of "beta" quality only. The authors would like to thank T. Day for the original Gotcha software, J. Holdback for the pyramidal version, R.  ... 
doi:10.1109/tgrs.2002.801160 fatcat:jgvylgkcmva5pf5olwbrxi7hhu

Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms

Zaide Duran, Kubra Ozcan, Muhammed Enes Atik
2021 Drones  
For this purpose, nine popular machine learning methods have been used. Geometric features obtained from point clouds were used for the feature spaces created for classification.  ...  Point cloud classification is also one of the leading areas where these applications are used.  ...  Although the value of 1 is obtained in some metrics with the GNB method, this value is not meaningful because very few points are labeled correctly.  ... 
doi:10.3390/drones5040104 fatcat:zonvtz6lx5gfbg4i2s4tdsmuvy

Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud

Adam Mathews, Jennifer Jensen
2013 Remote Sensing  
Using an unmanned aerial vehicle (UAV) and a digital camera, 201 aerial images (nadir and oblique) were collected and used to create a SfM point cloud.  ...  Points near sampled vines were extracted from which several metrics were calculated and input into a stepwise regression model to attempt to predict LAI.  ...  Additionally, thanks are extended to Andrew Hall (Charles Sturt University) for providing valuable input during the data analysis.  ... 
doi:10.3390/rs5052164 fatcat:omjxb5oswrab5csk6vehhduvde

A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment [article]

Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso
2021 arXiv   pre-print
Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles.  ...  In this context, the assessment of PC quality, notably for decoded PCs, is critical and asks for the design of efficient objective PC quality metrics.  ...  In general, after choosing a large enough neighborhood size (larger than 10), the correlation performance does not change significantly by increasing the neighborhood size for the 2 - .  ... 
arXiv:2108.00054v1 fatcat:dnuyh6gmojeqbdxtu55cbh4gja

Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry

Margaret Kalacska, Oliver Lucanus, Leandro Sousa, Thiago Vieira, Juan Arroyo-Mora
2018 Remote Sensing  
Our results show how these products provide spatially explicit complexity metrics, which are more comprehensive than conventional arbitrary cross sections.  ...  From the digital models we calculated habitat complexity metrics including rugosity, slope and 3D fractal dimension.  ...  Acknowledgments: We would like to thank Damilton Rodrigues da Costa (Dani) for fieldwork assistance and Norma Salcedo and Blake Stoughton from Aquatica for camera housing support.  ... 
doi:10.3390/rs10121912 fatcat:vujsjxker5h5dpttwkop4dfqne
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