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InceptionTime: Finding AlexNet for time series classification
InceptionTime: Finding AlexNet for time series classification
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InceptionTime: Finding AlexNet for time series classification

Ismail Fawaz, Hassan ; Lucas, Benjamin ; Forestier, Germain ; Pelletier, Charlotte ; Schmidt, Daniel F. ; Weber, Jonathan ; Webb, Geoffrey I. ; Idoumghar, Lhassane ; Muller, Pierre-Alain ; Petitjean, François

Data mining and knowledge discovery, 2020-11, Vol.34 (6), p.1936-1962 [Periódico revisado por pares]

New York: Springer US

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2
Deep learning for time series classification: a review
Deep learning for time series classification: a review
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Deep learning for time series classification: a review

Ismail Fawaz, Hassan ; Forestier, Germain ; Weber, Jonathan ; Idoumghar, Lhassane ; Muller, Pierre-Alain

Data mining and knowledge discovery, 2019-07, Vol.33 (4), p.917-963 [Periódico revisado por pares]

New York: Springer US

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3
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
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ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Dempster, Angus ; Petitjean, François ; Webb, Geoffrey I.

Data mining and knowledge discovery, 2020-09, Vol.34 (5), p.1454-1495 [Periódico revisado por pares]

New York: Springer US

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4
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
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A tutorial on multiobjective optimization: fundamentals and evolutionary methods

Emmerich, Michael T. M. ; Deutz, André H.

Natural computing, 2018-09, Vol.17 (3), p.585-609 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Bagnall, Anthony ; Lines, Jason ; Bostrom, Aaron ; Large, James ; Keogh, Eamonn

Data mining and knowledge discovery, 2017-05, Vol.31 (3), p.606-660 [Periódico revisado por pares]

New York: Springer US

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6
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Campos, Guilherme O. ; Zimek, Arthur ; Sander, Jörg ; Campello, Ricardo J. G. B. ; Micenková, Barbora ; Schubert, Erich ; Assent, Ira ; Houle, Michael E.

Data mining and knowledge discovery, 2016-07, Vol.30 (4), p.891-927 [Periódico revisado por pares]

New York: Springer US

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7
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Kavur, A. Emre ; Gezer, N. Sinem ; Barış, Mustafa ; Aslan, Sinem ; Conze, Pierre-Henri ; Groza, Vladimir ; Pham, Duc Duy ; Chatterjee, Soumick ; Ernst, Philipp ; Özkan, Savaş ; Baydar, Bora ; Lachinov, Dmitry ; Han, Shuo ; Pauli, Josef ; Isensee, Fabian ; Perkonigg, Matthias ; Sathish, Rachana ; Rajan, Ronnie ; Sheet, Debdoot ; Dovletov, Gurbandurdy ; Speck, Oliver ; Nürnberger, Andreas ; Maier-Hein, Klaus H. ; Bozdağı Akar, Gözde ; Ünal, Gözde ; Dicle, Oğuz ; Selver, M. Alper

Medical image analysis, 2021-04, Vol.69, p.101950-101950, Article 101950 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
Attention gated networks: Learning to leverage salient regions in medical images
Attention gated networks: Learning to leverage salient regions in medical images
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Attention gated networks: Learning to leverage salient regions in medical images

Schlemper, Jo ; Oktay, Ozan ; Schaap, Michiel ; Heinrich, Mattias ; Kainz, Bernhard ; Glocker, Ben ; Rueckert, Daniel

Medical image analysis, 2019-04, Vol.53, p.197-207 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Setio, Arnaud Arindra Adiyoso ; Traverso, Alberto ; de Bel, Thomas ; Berens, Moira S.N. ; Bogaard, Cas van den ; Cerello, Piergiorgio ; Chen, Hao ; Dou, Qi ; Fantacci, Maria Evelina ; Geurts, Bram ; Gugten, Robbert van der ; Heng, Pheng Ann ; Jansen, Bart ; de Kaste, Michael M.J. ; Kotov, Valentin ; Lin, Jack Yu-Hung ; Manders, Jeroen T.M.C. ; Sóñora-Mengana, Alexander ; García-Naranjo, Juan Carlos ; Papavasileiou, Evgenia ; Prokop, Mathias ; Saletta, Marco ; Schaefer-Prokop, Cornelia M ; Scholten, Ernst T. ; Scholten, Luuk ; Snoeren, Miranda M. ; Torres, Ernesto Lopez ; Vandemeulebroucke, Jef ; Walasek, Nicole ; Zuidhof, Guido C.A. ; Ginneken, Bram van ; Jacobs, Colin

Medical image analysis, 2017-12, Vol.42, p.1-13 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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10
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
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Deep neural network models for computational histopathology: A survey

Srinidhi, Chetan L. ; Ciga, Ozan ; Martel, Anne L.

Medical image analysis, 2021-01, Vol.67, p.101813-101813, Article 101813 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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