Results 51 to 60 of about 20,407 (227)

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

From MultiJEDI to MOUSSE: Two ERC Projects for innovating multilingual disambiguation and semantic parsing of text [PDF]

open access: yes, 2018
In this paper we present two interrelated projects funded by the European Research Council (ERC) aimed at addressing and over- coming the current limits of lexical semantics: MultiJEDI (Section 2) and MOUSSE (Section 4). We also present the results of
Basile, Valerio, Navigli, Roberto
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

On the Proper Treatment of Dynamics in Cognitive Science

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley   +1 more source

Unsupervised Named Entity Disambiguation for Low Resource Domains

open access: yesProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly apparent. It is crucial in a considerable number of fields such as humanities, technical writing and biomedical sciences to enrich texts with semantics and discover more ...
Datta, Debarghya, Pramanik, Soumajit
openaire   +2 more sources

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

open access: yesAdvanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti   +4 more
wiley   +1 more source

Thematic Annotation: extracting concepts out of documents [PDF]

open access: yes, 2004
Contrarily to standard approaches to topic annotation, the technique used in this work does not centrally rely on some sort of -- possibly statistical -- keyword extraction. In fact, the proposed annotation algorithm uses a large scale semantic database -
Andrews, Pierre, Rajman, Martin
core   +1 more source

Turkish Language Resources: Morphological Parser, Morphological Disambiguator and Web Corpus

open access: yes, 2008
In this paper, we propose a set of language resources for building Turkish language processing applications. Specifically, we present a finite-state implementation of a morphological parser, an averaged perceptron-based morphological disambiguator, and compilation of a web corpus.
Sak, Hasim   +2 more
openaire   +2 more sources

Obtaining Feature-and Sentiment-based Linked Instance RDF Data from Unstructured Reviews using Ontology-based Machine Learning

open access: yesInternational Journal of Technology, 2015
Online reviews have a profound impact on the customer or newbie who want to purchase or consume the product via web 2.0 e-commerce. Online reviews contain features which form half of the analysis in opinion mining.
D. Teja Santosh, B. Vishnu Vardhan
doaj   +1 more source

Gender equity in rheumatology research: global analysis of authors

open access: yesArthritis &Rheumatology, Accepted Article.
Objective To investigate gender representation of authors, in rheumatology research over the last decade. Methods Using metadata from original and review articles published between 2015‐2024 in SCImago top 2 quartile (Q1, Q2) rheumatology journals, author gender was classified using two public databases.
Michael Girdwood   +7 more
wiley   +1 more source

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