22 papers · ranked by Valyu relevance
Authors not listed
X-ray diffraction (XRD) is an immediate and powerful characterization technique that provides detailed information on the lattice structure and long-range order in crystalline materials. In recent decades, the quality and quantity of available crystal structure data has exploded, in large part due to the advent of…
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart + 1 more
'Enric Guinovart' 'Eduard Alarcón'] Abstract—Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mathematical space. In this paper we propose a stateof-the-art, primitive-based, unsupervised…
Takeo Watanabe, Yuka Sasaki, Takuro Zama, Julian R Matthews + 2 more
Unsupervised learning—learning through repeated exposure without instruction or reward—is central to both machine learning and human cognition, including language acquisition and statistical learning. However, its role in visual perceptual learning (VPL) remains debated, as previous studies have not shown VPL for…
Herman Kamper
Zero-resource speech processing is a growing research area which aims to develop methods that can discover linguistic structure and representations directly from unlabelled speech audio. Such unsupervised methods would allow speech technology to be developed in settings where transcriptions, pronunciation dictionaries…
Xiaoxuan Jia, Ha Hong, James J. DiCarlo
Temporal continuity of object identity is a feature of natural visual input, and is potentially exploited -- in an unsupervised manner -- by the ventral visual stream to build the neural representation in inferior temporal (IT) cortex and IT-dependent core object recognition behavior. Here we investigated whether…
Alimed Celecia, Karla Figueiredo, Carlos Rodriguez, Marley Vellasco + 6 more
'Edwin Maldonado' 'Marco Aurélio Silva' 'Anderson Rodrigues' 'Renata Nascimento' 'Carla Ourofino' 'Andrea Cataldo'] Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by…
Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski
Unsupervised speech recognition has shown great potential to make Automatic Speech Recognition (ASR) systems accessible to every language. However, existing methods still heavily rely on hand-crafted pre-processing. Similar to the trend of making supervised speech recognition end-to-end, we introduce wav2vec-U 2.0…
Tianlin Liu, Lyle Ungar, João Sedoc
Word vectors are at the core of many natural language processing tasks. Recently, there has been interest in postprocessing word vectors to enrich their semantic information. In this paper, we introduce a novel word vector postprocessing technique based on matrix conceptors (Jaeger 2014), a family of regularized…
Levente L. Orbán, Sylvain Chartier, Wulfila Gronenberg
Untrained, “flower-naïve” bumblebees display behavioural preferences when presented with visual properties such as colour, symmetry, spatial frequency and others. Two unsupervised neural networks were implemented to understand the extent to which these models capture elements of bumblebees’ unlearned visual preferences…
Authors not listed
The analysis of nonadiabatic molecular dynamics (NAMD) data presents significant challenges due to its high dimensionality and complexity. To address these issues, we introduce ULaMDyn, a Python-based, open-source package designed to automate the unsupervised analysis of large datasets generated by NAMD simulations.…
Markus Kiefer
processes: A gating framework Authors: ['Markus Kiefer'] In classical theories of automaticity, automatic processes are usually thought to occur autonomously and independently of higher level top-down factors (e.g., [70]). However, already Neumann ([67]) pointed out that the cognitive system has to be configured in a…
Muhammad Hanzla, Abdul Rehman Shinwari
Machine Learning (ML) can be defined as a class of Artificial Intelligence for automated data analysis, which is capable of detecting patterns in data. The extracted patterns can be used to predict un-known data or to assist in decision-making processes under uncertainty. Recent advances in experimental and…
Shen Tu, Jerwen Jou, Guang Zhao, Jun Jiang
The study of unconscious information processing mechanism is very important to the development of the science of human consciousness. By studying unconscious processing and comparing it with consciousness processing, we can better understand the ways unconsciousness works and the origin of conscious processing. The…
Markus Kiefer, Sarah C. Adams, Monika Zovko
influences on masked priming Authors: ['Markus Kiefer' 'Sarah C. Adams' 'Monika Zovko'] Classical theories of automaticity assume that automatic processes elicited by unconscious stimuli are autonomous and independent of higher-level cognitive influences. In contrast to these classical conceptions, we argue that…
Ning Mei, Roberto Santana, David Soto
The development of novel frameworks to understand the properties of unconscious representations and how they differ from the conscious counterparts may be critical to make progress in the neuroscience of vision consciousness. Here we re-analysed data from a within-subject, high-precision, highly-sampled fMRI study…
Authors not listed
Assessing the susceptibility of stainless steel (SS) to pitting corrosion remains challenging due to the difficulty in identifying nanometre-scale imperfections in the passive surface films. Traditional analytical methods are costly, time-consuming, and limited to model systems with adequate signal-to-noise ratios. We…
Ning Mei, Roberto Santana, David Soto
Despite advances in the neuroscience of visual consciousness over the last decades, we still lack a framework for understanding the scope of unconscious processing and how it relates to conscious experience. Previous research observed brain signatures of unconscious contents in visual cortex, but these have not been…
Theodora Banica, Dietrich Samuel Schwarzkopf
It remains unknown to what extent the human visual system interprets information about complex scenes without conscious analysis. Here we used visual masking techniques to assess whether illusory contours (Kanizsa shapes) are perceived when the inducing context creating this illusion does not reach awareness. In…
Ning Mei, David Soto
The development of robust frameworks to understand how the human brain represents conscious and unconscious perceptual contents is paramount to make progress in the neuroscience of consciousness. Recent functional MRI studies using multi-voxel pattern classification analyses showed that unconscious contents could be…
Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer + 5 more
Metabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for…
Luís M. Augusto
The concept of unconscious knowledge is fundamental for an understanding of human thought processes and mentation in general; however, the psychological community at large is not familiar with it. This paper offers a survey of the main psychological research currently being carried out into cognitive processes, and…
Viacheslav Dubeyko
Knowledge is the most precious asset of humankind. People extract the experience from the data that provide for us the reality through the feelings. Generally speaking, it is possible to see the analogy of knowledge elaboration between humankind's way and the artificial system's way. Digital data are the "feelings" of…