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Specification-centered robustness

Roderick Bloem, Krishnendu Chatterjee, Karin Greimel, Thomas A. Henzinger, Barbara Jobstmann
2011 2011 6th IEEE International Symposium on Industrial and Embedded Systems  
One of the notions is based on assigning costs for failures on a user-provided notion of incorrect transitions in a specification.  ...  In this paper, we summarize two formal notions of robustness that we have introduced previously for reactive systems.  ...  A robustness measure for a GR(1) specification is a set of robustness specifications together with a total order that respects ≺.  ... 
doi:10.1109/sies.2011.5953660 dblp:conf/sies/BloemCGHJ11 fatcat:hmt2zdh33fdppmvm4kw66wxto4

Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques

Yannick Suter, Urspeter Knecht, Mariana Alão, Waldo Valenzuela, Ekkehard Hewer, Philippe Schucht, Roland Wiest, Mauricio Reyes
2020 Cancer Imaging  
The performance on multi-center data of models trained on single-center data can be increased by using robust features and introducing prior knowledge.  ...  Models trained on single-center data (63 patients) were tested on multi-center data (76 patients). Priors using feature robustness and clinical knowledge were evaluated.  ...  H M Robust 540.00 GINI Adaboost 0.48 43% Table 3 3 Performance drop of models trained on single-center data and applied to unseen multi-center data, using non-robust and robust featues withs  ... 
doi:10.1186/s40644-020-00329-8 pmid:32758279 fatcat:e5w4g4xqj5de7fy4tgyznqolh4

L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems

Josefine Asmus, Christian L. Müller, Ivo F. Sbalzarini
2017 Scientific Reports  
This enables re-formulating optimization problems in engineering and biology as design centering problems, taking global system robustness into account.  ...  While design optimization aims to determine the design that best fulfills the specifications, it is the aim of design centering to find the design that meets the specifications most robustly.  ...  We thank the Center for Information Services and High Performance Computing (ZIH) at TU Dresden for generous allocation of computer time.  ... 
doi:10.1038/s41598-017-03556-5 pmid:28751662 pmcid:PMC5532288 fatcat:r5njesig3fexff6terzgasyhdm

Rethinking Robust Representation Learning Under Fine-grained Noisy Faces [article]

Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
2022 arXiv   pre-print
More specifically, we initialize M sub-centers for each class and ESL encourages it to be automatically aligned to N-identities|K^C-clusters faces via producing, merging, and dropping operations.  ...  Learning robust feature representation from large-scale noisy faces stands out as one of the key challenges in high-performance face recognition.  ...  More specifically, we initialize M sub-centers for each class first.  ... 
arXiv:2208.04352v1 fatcat:kwkvgmgmnrbexbtetd6qvm6dte

The Generalized Boundary Curve A Common Method for Automatic Nominal Design and Design Centering of Analog Circuits [chapter]

2009 Computer-Aided Design of Analog Integrated Circuits and Systems  
Two types of robustness objectives are presented, i.e. parameter distances for the nominal design and worstcase distances for the design centering.  ...  Results show that a significant reduction in computational costs is achieved using the presented robustness objectives and generalized boundary curve.  ...  Robustness objectives for the design centering are the worst-case distances (WCD); for the nominal design, the parameter distances are introduced as robustness objectives.  ... 
doi:10.1109/9780470544310.ch60 fatcat:6fbqn5z3x5ajrbbz2zaxdiw63y

On shrinkage and model extrapolation in the evaluation of clinical center performance

M. Varewyck, E. Goetghebeur, M. Eriksson, S. Vansteelandt
2014 Biostatistics  
Moreover, we study doubly robust FE regression to avoid outcome model extrapolation.  ...  For the three centers patient-specific mortality risks and patient mix (no. patients) are given per level of the covariate L, indicating low or high baseline severity.  ...  The observed center-specific risk versus the potential full population risk for all 90 centers of Riks-Stroke for the FE method, the doubly robust PS method, and the classical normal ME method, distinguishing  ... 
doi:10.1093/biostatistics/kxu019 pmid:24812420 pmcid:PMC4173104 fatcat:psidbzuxvngh3pno57wkbscqdu

PO-0792: Standardization of intensity modulated radiation therapy (IMRT) in multiple cancer centers in Poland

E. Butler, R. Pino, M.C. Mireles, N. Jacobs, R. Mills, S. Maric, O. Arsovski, G. Marosevic, E. Skrocki, D. Stricic, I. Wlodarska-Polinska, A. Wiczynski-Zajac (+1 others)
2015 Radiotherapy and Oncology  
For this cohort, robust optimization is not needed for random shift errors. Further refinement of endpoint specific thresholds and TCP/NTCP models is required to optimize this method.  ...  In contrast, for the risk of NTCP increase, CTV plans are more robust.  ...  Materials and Methods: The Euromedic Cancer Centers initiated a system to systematically approach the problem of standardization of IMRT in multiple centers in Poland.  ... 
doi:10.1016/s0167-8140(15)40784-4 fatcat:e7ova7dpjngdjksjx24qndasga

Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust $P^N$ Potentials

Georgios Floros, Konstantinos Rematas, Bastian Leibe
2011 Procedings of the British Machine Vision Conference 2011  
In this paper, this is done in the form of integrating class-specific information in the form of generalized robust higher order potentials [4].  ...  Generalized robust P N potentials provide a structured framework for incorporating the class-specific information provided by an object detector.  ...  In this paper, this is done in the form of integrating class-specific information in the form of generalized robust higher order potentials [4] .  ... 
doi:10.5244/c.25.79 dblp:conf/bmvc/FlorosRL11 fatcat:vogmuatl65cxdjpxrjkaupszva

Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand

Hao Zhang, Ying Xiong, Mingke He, Chongchong Qu
2017 Scientific Programming  
An example is given to show that the proposed model and algorithm are robust and can effectively handle the complications caused by uncertain demand.  ...  Based on the methodology of robust optimization in dealing with uncertain problems, this paper optimizes the location model in discrete demand probabilistic scenarios.  ...  In addition to the general assumptions described above, this paper also considers the following specific assumptions that the fresh goods e-commerce enterprises operate in a specific period of time: (1  ... 
doi:10.1155/2017/3423562 fatcat:3zecn3bqjjcmlpmioalqqwujxq

Bandpass Noise Generation and Augmentation for Unified ASR

Kshitiz Kumar, Bo Ren, Yifan Gong, Jian Wu
2020 Interspeech 2020  
We design numerous bandpass filters with varying center frequencies and filter bandwidths, and obtain corresponding bandpass noise samples.  ...  This work targets ASR robustness to individual subband noises, and improves robustness to unseen real-world noise that can be approximated as a factorial combination of subband noises.  ...  This work focuses on above aspects and motivates bandpass noise simulation to make ASR specifically robust to noise in individual frequency bands.  ... 
doi:10.21437/interspeech.2020-2904 dblp:conf/interspeech/KumarRGW20 fatcat:qlwctwxfx5a6vl2vf6rmusmegy

Is the monocentric urban economic model still empirically relevant? Assessing urban econometric predictions in 192 cities on five continents [article]

Charlotte Liotta, Vincent Viguié, Quentin Lepetit
2021 arXiv   pre-print
our sample exhibit the predicted negative density gradient from the city center to suburbs.  ...  Nevertheless, high levels of informality, strong regulations and planning, specific amenities (e.g. coastal amenities) are, as expected by the theory, main factors leading to the discrepancies.  ...  Dependent variable: rents gradients Main Robustness Robustness Robustness Robustness Robustness specification check 1 check 2 check 3 check 4 check 5 Coastal city -0.395 0.003 0.016 0.001 -0.352 -0.530  ... 
arXiv:2111.02112v1 fatcat:tork7hfhubh7jk5olvjwb62ifa

Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric data

João Santinha, Celso Matos, Mário Figueiredo, Nikolaos Papanikolaou
2021 Journal of Medical Imaging  
Such image acquisition information may be used to define different environments and select robust and invariant radiomic features associated with the clinical outcome that should be included in radiomics  ...  Conclusions: This proof-of-concept study demonstrated good performance by the proposed feature selection method in the majority of the studied scenarios, as it promotes robustness of features included  ...  (a), (b) Sensitivity and specificity of model A1;(c), (d) sensitivity and specificity of model A2; (e), (f) sensitivity and specificity of model B.  ... 
doi:10.1117/1.jmi.8.3.031905 pmid:33937440 pmcid:PMC8082292 fatcat:byg3xqbl3nfzrhxidj6qef3xsy

No robust relation between larger cities and depression

Karoline B. S. Huth, Adam Finnemann, Maarten W. J. van den Ende, Peter M. A. Sloot
2022 Proceedings of the National Academy of Sciences of the United States of America  
City effect on depression depends on living proximity to city center.  ...  No robust relation between larger cities and depression Downloaded by guest on February 1, 2022  ... 
doi:10.1073/pnas.2118943118 pmid:34987102 pmcid:PMC8764676 fatcat:62knfxfzbrg5nbq3m2u4x3brri

Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement

Haipeng Chen, Zeyu Xie, Yongping Huang, Di Gai
2021 Sensors  
Specifically, neighborhood information and the similarity of adjacent iterations are incorporated into the clustering process.  ...  Specifically, the simple Euclidean distance between the pixel and cluster centers is replaced by the grayscale similarity and the degree of distance proximity.  ...  Specifically, the simple Euclidean distance between the pixel and cluster centers is replaced by the grayscale similarity and the degree of distance proximity.  ... 
doi:10.3390/s21030696 pmid:33498422 pmcid:PMC7864181 fatcat:deb6tdkqrrejvfoo6etztm4mei

Housing Market Bust and Farmland Values: Identifying the Changing Influence of Proximity to Urban Centers

W. Zhang, C. J. Nickerson
2015 Land Economics  
Our results are robust to different assumptions about the structure of the unobserved spatial correlation. ABSTRACT.  ...  Our results are robust to different assumptions about the structure of the unobserved spatial correlation. (JEL Q15, R14)  ...  to which our results are robust across these specifications.  ... 
doi:10.3368/le.91.4.605 fatcat:nnl3dfo3brbiredaweo47pgovu
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