Search results for "Spar"
showing 10 items of 1739 documents
Classification of Melanoma Lesions Using Sparse Coded Features and Random Forests
2016
International audience; Malignant melanoma is the most dangerous type of skin cancer, yet it is the most treatable kind of cancer, conditioned by its early diagnosis which is a challenging task for clinicians and dermatologists. In this regard, CAD systems based on machine learning and image processing techniques are developed to differentiate melanoma lesions from benign and dysplastic nevi using dermoscopic images. Generally, these frameworks are composed of sequential processes: pre-processing, segmentation, and classification. This architecture faces mainly two challenges: (i) each process is complex with the need to tune a set of parameters, and is specific to a given dataset; (ii) the…
The Sliced COO Format for Sparse Matrix-Vector Multiplication on CUDA-enabled GPUs
2012
Abstract Existing formats for Sparse Matrix-Vector Multiplication (SpMV) on the GPU are outperforming their corresponding implementations on multi-core CPUs. In this paper, we present a new format called Sliced COO (SCOO) and an effcient CUDA implementation to perform SpMV on the GPU. While previous work shows experiments on small to medium-sized sparse matrices, we perform evaluations on large sparse matrices. We compared SCOO performance to existing formats of the NVIDIA Cusp library. Our resutls on a Fermi GPU show that SCOO outperforms the COO and CSR format for all tested matrices and the HYB format for all tested unstructured matrices. Furthermore, comparison to a Sandy-Bridge CPU sho…
MedAI: Transparency in Medical Image Segmentation
2021
MedAI: Transparency in Medical Image Segmentation is a challenge held for the first time at the Nordic AI Meet that focuses on medical image segmentation and transparency in machine learning (ML)-based systems. We propose three tasks to meet specific gastrointestinal image segmentation challenges collected from experts within the field, including two separate segmentation scenarios and one scenario on transparent ML systems. The latter emphasizes the need for explainable and interpretable ML algorithms. We provide a development dataset for the participants to train their ML models, tested on a concealed test dataset.
Automation Inner Speech as an Anthropomorphic Feature Affecting Human Trust: Current Issues and Future Directions
2021
This paper aims to discuss the possible role of inner speech in influencing trust in human–automation interaction. Inner speech is an everyday covert inner monolog or dialog with oneself, which is essential for human psychological life and functioning as it is linked to self-regulation and self-awareness. Recently, in the field of machine consciousness, computational models using different forms of robot speech have been developed that make it possible to implement inner speech in robots. As is discussed, robot inner speech could be a new feature affecting human trust by increasing robot transparency and anthropomorphism.
Sponsored Content in Spanish Media: Strategies, Transparency, and Ethical Concerns
2021
Profound upheavals and the search for a viable business model have led the news industry to explore new sources of revenue. The mainstream Spanish media have set up special units to produce branded...
Conservation genetics of an endemic from the Mediterranean Basin: high genetic differentiation but no genetic diversity loss from the last population…
2013
The Mediterranean Basin is a biodiversity hotspot, housing > 11.000 narrowly endemic plant species, many of which are declining due to mass tourism and agricultural intensification. To investigate the genetic resource impacts of ongoing habitat loss and degradation, we characterized the genetic variation in the last known populations of Leopoldia gussonei, a self-compatible endangered Sicilian Grape Hyacinth numbering less than 3,000 remaining individuals, using AFLP. Results demonstrated significant genome-wide genetic differentiation among all extant populations (I broken vertical bar(ST) = 0.05-0.56), and genetic clustering according to geographic location. Gene diversity was fairly c…
A Hierarchical Model for Analysing Consumption Patterns in Italy Before and During the Great Recession
2016
The paper aims to explore how the Great Recession of the twenty-first century has impacted on the consumption behaviour of Italian households. Following a hierarchical approach, the study investigates differences in consumption behaviour at both household and regional levels. Using micro data on Italian Household Expenditure for the years 2002, 2006, 2010 and 2012, multilevel and two-step regression models have been estimated. The analysis has been performed for four different consumption categories: food, housing, work-related and leisure. The analysis reveals that the economic crisis led to increasing income elasticity for each category of consumption, especially for food, the most essent…
Evolución de los riesgos ambientales en el contexto de la crisis económica. Informe SESPAS 2014
2014
ResumenNuestro objetivo es analizar el impacto de la crisis económica-financiera en los determinantes ambientales de la salud. La Organización Mundial de la Salud estima que entre un 13% y un 27% de la carga de enfermedad de los países podría prevenirse mejorando el medio ambiente. Los efectos son de mayor magnitud en poblaciones más vulnerables, en especial entre los más pobres. En la última década, la contaminación atmosférica exterior (el riesgo ambiental más relevante, en términos de salud, para la mayoría de los países europeos) se ha reducido moderadamente, sobre todo por las políticas europeas de reducción de emisiones y por la disminución de la actividad con la crisis económica. En …
Oneri di sbilanciamento (diritto dell'energia)
2018
The article aims to explore to what extent consumers protection, as principle constitutionally guaranteed by art.38 of EU’s Charter of Fundamental Rights, should affect the rules governing the electricity dispatching service and the balancing system. On a market such as the electricity market, where demand is inflexible and the product concerned cannot be stored, electricity dispatching service is designed to ensure that, within the national transmission system, the supply of electricity matches demand, thereby guaranteeing security and continuity in the energy supply. Transparent market-based mechanisms for the supply and purchase of electricity needs to be combined with balancing measures…
Recent Developments in International Investment Law
2016
International investment law remains a fast evolving and vibrant field of law with ongoing and recently-concluded investment treaty negotiations continually altering the status quo. It is a system at a crossroads of reform, generally focused on safeguarding the right of the host state to regulate and on improving the investor-state dispute settlement (ISDS) mechanism. But reform may also come into play in more far-reaching ways and significant changes are likely to see the day in the near future. One such change concerns the institutional architecture of the resolution of investment disputes, with the possible establishment of a permanent investment court and/or the introduction of an appel…