Results 71 to 80 of about 3,979,328 (298)

Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs [PDF]

, 2018
We tackle the problem of classifying Electrocardiography (ECG) signals with the aim of predicting the onset of Paroxysmal Atrial Fibrillation (PAF).
Bianchi, Filippo Maria, Ferrante, Alberto, Livi, Lorenzo, Malek, Miroslaw, Milosevic, Jelena   +4 more
core   +3 more sources

Domain Adaptation of Time Series Classification

IEEE Access
In the era of big data and the rapid development of sensor technology, the time series classification problem has become an important research direction in the field of data mining.
Xinli Wang, Rencheng Sun
doaj   +1 more source

W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets

Sensors, 2021
Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes ...
Kenan Li, Huiyu Deng, John Morrison, Rima Habre, Meredith Franklin, Yao-Yi Chiang, Katherine Sward, Frank D. Gilliland, José Luis Ambite, Sandrah P. Eckel   +9 more
doaj   +1 more source

Domain Transformation to Graphs and GraphSAGE-Based Embedding for Performance Enhancement in Time-Series Classification

IEEE Access
In this paper, we address the problem of improving time-series classification performance in graph environments. With the recent increase in graph analytics, many studies analyzing time-series within the graph domain have been introduced.
Sanghun Lee, Yang-Sae Moon, Hong-Jun Jang   +2 more
doaj   +1 more source

Automated classification of Persistent Scatterers Interferometry time series [PDF]

Natural Hazards and Earth System Sciences, 2013
We present a new method for the automatic classification of Persistent Scatters Interferometry (PSI) time series based on a conditional sequence of statistical tests.
M. Berti, A. Corsini, S. Franceschini, J. P. Iannacone   +3 more
doaj   +1 more source

Time series classification based on fractal properties

, 2019
The article considers classification task of fractal time series by the meta algorithms based on decision trees. Binomial multiplicative stochastic cascades are used as input time series.
Bulakh, Vitalii, Kirichenko, Lyudmyla, Radivilova, Tamara   +2 more
core   +1 more source

Binary Shapelet Transform for Multiclass Time Series Classification [PDF]

, 2015
Shapelets have recently been proposed as a new primitive for time series classification. Shapelets are subseries of series that best split the data into its classes.
Bagnall, Anthony, Bostrom, Aaron
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification

Sensors
Time series data are prevalent in diverse fields such as manufacturing and sensor-based human activity recognition. In real-world applications, these data are often collected with variable sample lengths, which can pose challenges for classification ...
Hyeonsu Lee, Dongmin Shin
doaj   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source