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Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning

Acceso

en l�nea

Armin Soltan and Peter Washington

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 17 Num: 0 Par: 4 A�o: 2024

Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space

Acceso

en l�nea

Peranut Nimitsurachat and Peter Washington

Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver m�s

Revista: AI Formato: Electr�nico

Tabla de contenido: Vol: 5 Num: 0 Par: 1 A�o: 2024

Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA)

Acceso

en l�nea

Kees Nederhoff, Sean C. Crosby, Nate R. Van Arendonk, Eric E. Grossman, Babak Tehranirad, Tim Leijnse, Wouter Klessens and Patrick L. Barnard

The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flo... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 0 Par: 2 A�o: 2024

From SuperTIGER to TIGERISS

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en l�nea

B. F. Rauch, W. V. Zober, Q. Abarr, Y. Akaike, W. R. Binns, R. F. Borda, R. G. Bose, T. J. Brandt, D. L. Braun, J. H. Buckley, N. W. Cannady, S. Coutu, R. M. Crabill, P. F. Dowkontt, M. H. Israel, M. Kandula, J. F. Krizmanic, A. W. Labrador, W. Labrador, L. Lisalda, J. V. Martins, M. P. McPherson, R. A. Mewaldt, J. G. Mitchell, J. W. Mitchell, S. A. I. Mognet, R. P. Murphy, G. A. de Nolfo, S. Nutter, M. A. Olevitch, N. E. Osborn, I. M. Pastrana, K. Sakai, M. Sasaki, S. Smith, H. A. Tolentino, N. E. Walsh, J. E. Ward, D. Washington, A. T. West and L. P. WilliamsaddShow full author listremoveHide full author list

The Trans-Iron Galactic Element Recorder (TIGER) family of instruments is optimized to measure the relative abundances of the rare, ultra-heavy galactic cosmic rays (UHGCRs) with atomic number (Z) Z = 30. Observing the UHGCRs places a premium on exposure... ver m�s

Revista: Instruments Formato: Electr�nico

Tabla de contenido: Vol: 8 Num: 0 Par: 1 A�o: 2024

Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training

Acceso

en l�nea

Tanvir Islam and Peter Washington

Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction can enable digital interv... ver m�s

Revista: Applied Sciences Formato: Electr�nico

Tabla de contenido: Vol: 13 Num: 0 Par: 21 A�o: 2023

The First Discovery of a Fish Fossil (Phareodus sp.) from Paleogene Fluvial Deposits in Western Washington State, USA

Acceso

en l�nea

George E. Mustoe

The 2023 discovery of a fish fossil from lower Eocene strata of the Chuckanut Formation provides new insights into the paleoenvironment and paleoecology of one of the region?s most prolific fossil deposits. The detrital clastic fluvial and floodplain dep... ver m�s

Revista: Geosciences Formato: Electr�nico

Tabla de contenido: Vol: 13 Num: 0 Par: 9 A�o: 2023

End of the line: The impact of new suburban rail stations on housing prices

Acceso

en l�nea

Rhea Acu�a P�g. 67 - 86

This study leverages the staggered opening of new Metro stations in a suburb of Washington, DC to estimate the impact of proximity to public rail transit on housing prices. Both hedonic and repeat sales models indicate that housing prices increase as dis... ver m�s

Revista: Journal of Transport and Land Use Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 1 Par: 0 A�o: 2023

Modeling Extreme Water Levels in the Salish Sea: The Importance of Including Remote Sea Level Anomalies for Application in Hydrodynamic Simulations

Acceso

en l�nea

Eric E. Grossman, Babak Tehranirad, Cornelis M. Nederhoff, Sean C. Crosby, Andrew W. Stevens, Nathan R. Van Arendonk, Daniel J. Nowacki, Li H. Erikson and Patrick L. Barnard

Extreme water-level recurrence estimates for a complex estuary using a high-resolution 2D model and a new method for estimating remotely generated sea level anomalies (SLAs) at the model boundary have been developed. The hydrodynamic model accurately res... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 15 Num: 0 Par: 23 A�o: 2023

Towards Intricate Stand Structure: A Novel Individual Tree Segmentation Method for ALS Point Cloud Based on Extreme Offset Deep Learning

Acceso

en l�nea

Yizhuo Zhang, Hantao Liu, Xingyu Liu and Huiling Yu

Due to the complex structure of high-canopy-density forests, the traditional individual tree segmentation (ITS) algorithms based on ALS point cloud, which set segmentation threshold manually, is difficult to adequately cover a variety of complex situatio... ver m�s

Revista: Applied Sciences Formato: Electr�nico

Tabla de contenido: Vol: 13 Num: 0 Par: 11 A�o: 2023

Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas

Acceso

en l�nea

Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim and Ana Stanescu

Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using... ver m�s

Revista: ISPRS International Journal of Geo-Information Formato: Electr�nico

Tabla de contenido: Vol: 12 Num: 0 Par: 3 A�o: 2023

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