New machine learning methods demonstrate the theorized existence of a human stylome

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

Mohammadian Rad, N.
Mostafa Kia, S.
Zarbo, C.
Laarhoven, T. van
Jurman, G.
Venuti, P.
Marchiori, E.
Furlanello, C.

January 2018

Contains fulltext : 181993.pdf (preprint version ) (Closed access

Code and data for "Discovery of senolytics using machine learning"

Smer-Barreto, Vanessa
Quintanilla, Andrea
Elliot, Richard J. R.
Dawson, John C.
Sun, Jiugeng
Lorente-Macías, Álvaro
Unciti-Broceta, Asier
Carragher, Neil O.
Acosta, Juan Carlos
Oyarzún, Diego A.

April 2023

Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023...

MACHINE LEARNING METHODOLOGIES IN THE DISCOVERY OF THE INTERACTION BETWEEN GENES IN COMPLEX DISEASES

Ricardo José
Moreira Pinho
Dissertação De
Mestrado Apresentada
À Faculdade
De Engenharia
Da Universidade
Do Porto Em
Faculdade De
Engenharia Da
Universidade Do Porto
Ricardo Pinho
Supervisor Rui Camacho
Ricardo Pinho
Mestrado Integrado
Engenharia Informática Computação

January 2014

Machine Learning methodologies in the discovery of the interaction between genes in complex disease

New machine learning methods demonstrate the existence of a human stylome

Van Halteren, H.
Baayen, R.
Tweedie, F.
Haverkort, M.
Neijt, A.

January 2005

Earlier research has shown that established authors can be distinguished by measuring specific prope...

Machine Learning for Automated Reasoning

Kühlwein, D.

January 2014

Contains fulltext : 135136.pdf (Publisher’s version ) (Open Access)Radboud Univers...

The Limitations of Stylometry for Detecting Machine-Generated Fake News

Schuster, Tal
Schuster, Roei
Shah, Darsh J
Barzilay, Regina

December 2020

Deep learning and citizen science enable automated plant trait predictions from photographs

Schiller, Christopher
Schmidtlein, Sebastian
Boonman, Coline
Moreno-Martinez, Alvaro
Kattenborn, Teja

January 2021

Contains fulltext : 236882.pdf (Publisher’s version ) (Open Access

Machine learning in image steganalysis

Schaathun, Hans Georg

January 2012

"The only book to look at steganalysis from the perspective of machine learning theory, and to apply...

Soft computing in machine learning

Rhee, Sang-Yong
Park, Jooyoung
Inoue, Atsushi

January 2014

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by ...

Application of machine learning algorithms in morphopathology and in assisted reproductive technologies

Vishnyakova P.A.
Kaprulevich E.A.
Kirillova A.O.
Ananiev V.V.
Naumov A.Yu.
Fatkhudinov T.Kh.

Machine learning models are used everywhere to analyze images, signals, and videos. At first glance,...

Machine learning and the acquisition of natural concepts based on the psychological theory of prototypes

Musgrove, P
Polytechnic of the South Bank, London (United Kingdom)
Council for National Academic Awards (CNAA), London (United Kingdom)

January 1989

SIGLEAvailable from British Library Document Supply Centre- DSC:DX94732 / BLDSC - British Library Do...

Making sense of the human genome using machine learning

Haaland, Fredrik

January 2013

Machine learning enables a computer to learn a relationship between two assumingly related types of ...

Histopathological diagnosis of breast cancer using machine learning

Ehteshami Bejnordi, B.

January 2017

Contains fulltext : 178907.pdf (publisher's version ) (Open Access)Promotor : Kars...

Machine learning in medical applications

Magoulas, George
Prentza, A.

January 2001

Book synopsis: In recent years machine learning has made its way from artificial intelligence into a...

Modeling human word recognition with sequences of artificial neurons

Wittenburg, P.
Kuijk, D.J. van
Dijkstra, T.M.H.

January 1996

Contains fulltext : 104063.pdf (Publisher’s version ) (Open Access

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

Mohammadian Rad, N.
Mostafa Kia, S.
Zarbo, C.
Laarhoven, T. van
Jurman, G.
Venuti, P.
Marchiori, E.
Furlanello, C.

January 2018

Contains fulltext : 181993.pdf (preprint version ) (Closed access

Code and data for "Discovery of senolytics using machine learning"

Smer-Barreto, Vanessa
Quintanilla, Andrea
Elliot, Richard J. R.
Dawson, John C.
Sun, Jiugeng
Lorente-Macías, Álvaro
Unciti-Broceta, Asier
Carragher, Neil O.
Acosta, Juan Carlos
Oyarzún, Diego A.

April 2023

Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023...

MACHINE LEARNING METHODOLOGIES IN THE DISCOVERY OF THE INTERACTION BETWEEN GENES IN COMPLEX DISEASES

Ricardo José
Moreira Pinho
Dissertação De
Mestrado Apresentada
À Faculdade
De Engenharia
Da Universidade
Do Porto Em
Faculdade De
Engenharia Da
Universidade Do Porto
Ricardo Pinho
Supervisor Rui Camacho
Ricardo Pinho
Mestrado Integrado
Engenharia Informática Computação

January 2014

Machine Learning methodologies in the discovery of the interaction between genes in complex disease

New machine learning methods demonstrate the existence of a human stylome

Van Halteren, H.
Baayen, R.
Tweedie, F.
Haverkort, M.
Neijt, A.

January 2005

Earlier research has shown that established authors can be distinguished by measuring specific prope...

Machine Learning for Automated Reasoning

Kühlwein, D.

January 2014

Contains fulltext : 135136.pdf (Publisher’s version ) (Open Access)Radboud Univers...

The Limitations of Stylometry for Detecting Machine-Generated Fake News

Schuster, Tal
Schuster, Roei
Shah, Darsh J
Barzilay, Regina

December 2020

Deep learning and citizen science enable automated plant trait predictions from photographs

Schiller, Christopher
Schmidtlein, Sebastian
Boonman, Coline
Moreno-Martinez, Alvaro
Kattenborn, Teja

January 2021

Contains fulltext : 236882.pdf (Publisher’s version ) (Open Access

Machine learning in image steganalysis

Schaathun, Hans Georg

January 2012

"The only book to look at steganalysis from the perspective of machine learning theory, and to apply...

Soft computing in machine learning

Rhee, Sang-Yong
Park, Jooyoung
Inoue, Atsushi

January 2014

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by ...

Application of machine learning algorithms in morphopathology and in assisted reproductive technologies

Vishnyakova P.A.
Kaprulevich E.A.
Kirillova A.O.
Ananiev V.V.
Naumov A.Yu.
Fatkhudinov T.Kh.

Machine learning models are used everywhere to analyze images, signals, and videos. At first glance,...

Machine learning and the acquisition of natural concepts based on the psychological theory of prototypes

Musgrove, P
Polytechnic of the South Bank, London (United Kingdom)
Council for National Academic Awards (CNAA), London (United Kingdom)

January 1989

SIGLEAvailable from British Library Document Supply Centre- DSC:DX94732 / BLDSC - British Library Do...

Making sense of the human genome using machine learning

Haaland, Fredrik

January 2013

Machine learning enables a computer to learn a relationship between two assumingly related types of ...

Histopathological diagnosis of breast cancer using machine learning

Ehteshami Bejnordi, B.

January 2017

Contains fulltext : 178907.pdf (publisher's version ) (Open Access)Promotor : Kars...

Machine learning in medical applications

Magoulas, George
Prentza, A.

January 2001

Book synopsis: In recent years machine learning has made its way from artificial intelligence into a...

Modeling human word recognition with sequences of artificial neurons

Wittenburg, P.
Kuijk, D.J. van
Dijkstra, T.M.H.

January 1996

Contains fulltext : 104063.pdf (Publisher’s version ) (Open Access

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

Mohammadian Rad, N.
Mostafa Kia, S.
Zarbo, C.
Laarhoven, T. van
Jurman, G.
Venuti, P.
Marchiori, E.
Furlanello, C.

January 2018

Contains fulltext : 181993.pdf (preprint version ) (Closed access

Code and data for "Discovery of senolytics using machine learning"

Smer-Barreto, Vanessa
Quintanilla, Andrea
Elliot, Richard J. R.
Dawson, John C.
Sun, Jiugeng
Lorente-Macías, Álvaro
Unciti-Broceta, Asier
Carragher, Neil O.
Acosta, Juan Carlos
Oyarzún, Diego A.

April 2023

Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023...

MACHINE LEARNING METHODOLOGIES IN THE DISCOVERY OF THE INTERACTION BETWEEN GENES IN COMPLEX DISEASES

Ricardo José
Moreira Pinho
Dissertação De
Mestrado Apresentada
À Faculdade
De Engenharia
Da Universidade
Do Porto Em
Faculdade De
Engenharia Da
Universidade Do Porto
Ricardo Pinho
Supervisor Rui Camacho
Ricardo Pinho
Mestrado Integrado
Engenharia Informática Computação

January 2014

Machine Learning methodologies in the discovery of the interaction between genes in complex disease

New machine learning methods demonstrate the theorized existence of a human stylome

Abstract

Extracted data

New machine learning methods demonstrate the theorized existence of a human stylome

Abstract

Extracted data

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