Results 91 to 100 of about 1,601 (294)

Luka eksplanacyjna a pojęcia własności fenomenalnych stanowisko Josepha Levine’a ( Explanatory gap and the concept of phenomenal properties: Joseph Levine’s view) [PDF]

open access: yesAnaliza i Egzystencja, 2012
The explanatory gap problem arises in the context of the mind-body relation, and especially the phenomenal concepts-physical concepts relation. It is posed as a question about the method which is appropriate for the reduction of consciousness to physical
Adriana Schetz
doaj  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Back to representationalism [PDF]

open access: yes, 2017
Palacios, Escobar and Céspedes consider misrepresentation and comparability in the context of the enactivist approach of colour perception. This consideration leads them to propose the introduction of a weak form of representationalism to account for ...
Bonnardel, Valerie
core  

Mind Back to Life

open access: yesRevista Colombiana de Filosofía de la Ciencia
The computationalist paradigm in cognitive science, currently known as cognitivism, has exerted a philosophical and empirical dominance that has hindered the visibility and contemplation of contemporary alternative paradigms such as those proposed by ...
Juan Manuel Martínez García
doaj   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang   +3 more
wiley   +1 more source

Challenging liberal representationalism: a reply to Artiga

open access: yes, 2019
Schulte P. Challenging Liberal Representationalism: A Reply to Artiga. DIALECTICA. 2019;73(3):331-348.Liberal representationalism is the view that even some internal states of very simple organisms like plants or bacteria count as genuine representations.
Schulte, Peter   +2 more
core   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

open access: yesAdvanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen   +4 more
wiley   +1 more source

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