Suchergebnisse - "[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]"

Out-of-Distributional Risk Bounds for Neural Operators with Applications to Thehelmholtz Equation von Lara Benitez, Jose Antonio, Furuya, Takashi, Faucher, Florian, Kratsios, Anastasis, Tricoche, Xavier, de Hoop, Maarten

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Learning and controlling the source-filter representation of speech with a variational autoencoder von Sadok, Samir, Leglaive, Simon, Girin, Laurent, Alameda-Pineda, Xavier, Seguier, Renaud

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MDSPACE: Extracting Continuous Conformational Landscapes from Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation von Vuillemot, Rémi, Mirzaei, Alex, Harastani, Mohamad, Hamitouche, Ilyes, Fréchin, Léo, Klaholz, Bruno P., Miyashita, Osamu, Tama, Florence, Rouiller, Isabelle, Jonic, Slavica

“… [Display omitted] •MDSPACE extracts continuous conformational landscapes from single particle datasets.•It uses MD-simulation-based 3D-to-2D flexible fitting …”
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Development of an ontology for laparoscopic transabdominal adrenalectomy via a comprehensive modified Delphi survey and its validation on a multicentric pilot data set for surgical training and future video analysis with machine learning algorithms von Barbara Seeliger, Sofia Di Lorenzo, Pier F Alesina, Laurent Brunaud, Costanza Chiapponi, Carmela De Crea, Gianluca Donatini, Maurizio Iacobone, Özer Makay, Radu Mihai, Martina T Mogl, Didier Mutter, Nicolas Padoy, Fausto Palazzo, Oscar Vidal, Francesco Pennestrí, Jacques Marescaux, Michel Vix, Marco Raffaelli

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Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping von Zhao, Jiangsan, Kumar, Ajay, Banoth, Balaji Naik, Marathi, Balram, Rajalakshmi, Pachamuthu, Rewald, Boris, Ninomiya, Seishi, Guo, Wei

“… Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral information acquired compared to natural color RGB (ncRGB) images …”
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Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning von Navarro-Guerrero, Nicolas, Nguyen, Sao Mai, Oztop, Erhan, Zhong, Junpei

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Drug side-effect prediction based on the integration of chemical and biological spaces von Yamanishi, Yoshihiro, Pauwels, Edouard, Kotera, Masaaki

“… Drug side-effects, or adverse drug reactions, have become a major public health concern and remain one of the main causes of drug failure and of drug …”
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Section focused on machine learning methods for high-level cognitive capabilities in robotics von Inamura, Tetsunari, Yokoyama, Hiroki, Ugur, Emre, Hinaut, Xavier, Beetze, Michael, Taniguchi, Tadahiro

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Privacy and Utility of X-Vector Based Speaker Anonymization von Srivastava, Brij Mohan Lal, Maouche, Mohamed, Sahidullah, Md, Vincent, Emmanuel, Bellet, Aurelien, Tommasi, Marc, Tomashenko, Natalia, Wang, Xin, Yamagishi, Junichi

“… We study the scenario where individuals ( speakers ) contribute to the publication of an anonymized speech corpus. Data users leverage this public corpus for …”
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Learning from interpretation transition von Inoue, Katsumi, Ribeiro, Tony, Sakama, Chiaki

“… We propose a novel framework for learning normal logic programs from transitions of interpretations. Given a set of pairs of interpretations ( I , J ) such …”
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Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing von Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda

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Does Infant‐Directed Speech Help Phonetic Learning? A Machine Learning Investigation von Ludusan, Bogdan, Mazuka, Reiko, Dupoux, Emmanuel

“… A prominent hypothesis holds that by speaking to infants in infant‐directed speech (IDS) as opposed to adult‐directed speech (ADS), parents help them learn …”
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Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning von Navarro-Guerrero, Nicolas, Nguyen, Sao Mai, Oztop, Erhan, Zhong, Junpei

“… The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and …”
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Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering von Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Rabiul, Tanaka, Yuichi, Lotte, Fabien

“… Automatically detecting and removing Electroencephalogram (EEG) outliers is essential to design robust brain-computer interfaces (BCIs). In this paper, we …”
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Editorial: Modeling Play in Early Infant Development von Shaw, Patricia, Lee, Mark, Shen, Qiang, Hirsh-Pasek, Kathy, Adolph, Karen E., Oudeyer, Pierre-Yves, Popp, Jill

“… [...]developmental psychology benefits from such models to formulate theories and conjectures of infant play which can be tested and evaluated through …”
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Stability versus Neuronal Specialization for STDP: Long-Tail Weight Distributions Solve the Dilemma von Gilson, Matthieu, Fukai, Tomoki

“… Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections between neurons and is considered to be crucial for …”
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Generic HTR Models for Medieval Manuscripts. The CREMMALab Project von Pinche, Ariane

“… In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly …”
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Editorial: Modeling Play in Early Infant Development von Shaw, Patricia, Lee, Mark, Shen, Qiang, Hirsh-Pasek, Kathy, Adolph, Karen, Oudeyer, Pierre-Yves, Popp, Jill

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Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification von Luo, Jia, Xue, Rui, Hu, Jinglu, El Baz, Didier

“… Misinformation posted on social media during COVID-19 is one main example of infodemic data. This phenomenon was prominent in China when COVID-19 happened at …”
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Historical Documents and Automatic Text Recognition: Introduction von Pinche, Ariane, Stokes, Peter

“… With this special issue of the Journal of Data Mining and Digital Humanities (JDMDH), we bringtogether in one single volume several experiments, projects and …”
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