Search results for "dataset"
showing 7 items of 77 documents
Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space
2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different individuals remain poorly understood. To quantitatively describe epitope immunogenicity, here we propose a supervised machine learning framework generating probabilistic estimates of immunogenicity, termed "immunogenicity scores," based on the numerical features computed through sequence-based simulation approximating the molecular scanning process of peptides presented onto major histocompatibility complex (MHC) by the human T cell receptor (T…
TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods
2018
[EN] This paper introduces the Time Series Simulation for Benchmarking of Reconstruction Techniques (TISSBERT) dataset, intended to provide a benchmark for the validation and comparison of time series reconstruction methods. Such methods are routinely used to estimate vegetation characteristics from optical remotely sensed data, where the presence of clouds decreases the usefulness of the data. As for their validation, these methods have been compared with previously published ones, although with different approaches, which sometimes lead to contradictory results. We designed the TISSBERT dataset to be generic so that it could simulate realistic reference and cloud-contaminated time series …
Indeksy i bazy danych jako źródła w studiach nad bezpieczeństwem. Stan badań
2021
Artykuł przedstawia metaanalizę w zakresie użyteczności narzędzi poznawczych w studiach nad bezpieczeństwem narodowym i międzynarodowym, jakimi są indeksy, rankingi i bazy danych. Ich użycie w studiach społecznych sięga czasów behawioralizmu oraz projektów takich jak Korelaty Wojny (Correlates of War, CoW), czy coroczne raporty takich instytucji jak PRIO, SIPRI, czy IISS. Rozwój organizacji międzynarodowych i narzędzi analitycznych zwiększył możliwości pozyskiwania danych ilościowych i jakościowych na temat zbrojeń, konfliktów, wojen, a także poczucia bezpieczeństwa, percepcji zagrożeń, jakości życia, czy zdrowia etc. W tekście analizuję kilkadziesiąt indeksów, rankingów i baz danych (datas…
The Influence of Religion on Life Satisfaction in Italy
2021
Italy is the cradle of Catholicism and, despite the secularization process, religion continues to be part of its national culture. Although Italian sociologists have investigated the religious paradigm in Italy, there are aspects of such phenomenon still little explored. This paper examines the potential influence religion has on individuals’ life satisfaction. Data from the European Value Study survey provides evidence of a two-way interaction between religion and life satisfaction, with a substantial effect only in the case of public religious forms. This association seems to be moved by the mechanism of social support, and it differs across Italian regions. Results confirm the hypothesis…
Scalable implementation of dependence clustering in Apache Spark
2017
This article proposes a scalable version of the Dependence Clustering algorithm which belongs to the class of spectral clustering methods. The method is implemented in Apache Spark using GraphX API primitives. Moreover, a fast approximate diffusion procedure that enables algorithms of spectral clustering type in Spark environment is introduced. In addition, the proposed algorithm is benchmarked against Spectral clustering. Results of applying the method to real-life data allow concluding that the implementation scales well, yet demonstrating good performance for densely connected graphs. peerReviewed
The influence of dataset size on the performance of cell outage detection approach in LTE-A networks
2015
The configuration and maintenance of constantly evolving mobile cellular networks are getting more and more complex and hence expensive. Self-Organizing Networks (SON) concept is an umbrella term for the set of automated solutions for network operations proposed by 3rd Generation Partnership Project (3GPP) group. Automated cell outage detection is one of the components of SON functionality. In early studies our research group developed data-driven approach for the detection of malfunctioning cells. In this paper we investigate the performance of the proposed solution as a function of the density of active users and the size of observation interval. The evaluation is conducted in Long Term E…
CCTVCV: Computer Vision model/dataset supporting CCTV forensics and privacy applications
2022
The increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks for the last several decades. Recent technological advances implemented in CCTV cameras, such as Artificial Intelligence (AI)-based facial recognition and Internet of Things (IoT) connectivity, fuel further concerns among privacy advocates. Machine learning and computer vision automated solutions may prove necessary and efficient to assist CCTV forensics of various types. In this paper, we introduce and release the first and only computer vision models are compatible with Microsoft common object in context (MS COCO) and capable of accurately…