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representation politics

GeneTech 知识引擎共收录 111 篇相关科研实体，横跨 15 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• A Systematic Review of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions
  2026 · AI 安全与对齐 · Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to support accurate prediction, diagnosis, and clinical decision-making. However, the availability of large, well-annotated…
• Research on fatigue crack propagation life prediction model based on Kriging method
  2026 · 碳中和与 CCUS · Abstract Microcracks, commonly found in mechanical structures, critically influence component integrity and service life through their evolution under cyclic loading, which exhibits strong nonlinearity and path dependenc…
• Planning-Based Decision Space Exploration for Digital Twins in Immature Production Processes
  2026 · 数字孪生 · Highly variant and immature production processes frequently occur during the ramp-up of new manufacturing technologies, where process parameters, resource configurations, and operating strategies must be established unde…
• In system alignments we trust! Explainable alignments via projections
  2025 · AI 安全与对齐 · Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation – either a log or a …
• AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection
  2025 · AI 安全与对齐 · Training fall detection systems is challenging due to the scarcity of real-world fall data, particularly from elderly individuals. To address this, we explore the potential of Large Language Models (LLMs) for generating …
• Democracy by algorithm? Public attitudes towards AI in parliamentary decision-making in the UK and Japan
  2025 · AI 安全与对齐 · Abstract Parliaments are beginning to experiment with artificial intelligence (AI), but public acceptance remains uncertain. We examine attitudes to AI in two parliamentary democracies: the UK (n = 990) and Japan (n = 21…
• Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators
  2025 · 医疗人工智能 · The wide usage of artificial intelligence (AI) text-to-image generators raises concerns about the role of AI in amplifying misconceptions in healthcare. This study therefore evaluated the demographic accuracy and potenti…
• Neural Representation of Episodic Time
  2025 · 脑科学 · Inspired by recent discoveries of neural populations that track time for specific moments (time cells) and elapsed durations (temporal context and periodic time cells), this review, based on a minisymposium presented at …
• Adaptive high-resolution mapping of air pollution with a novel implicit 3D representation approach
  2025 · 碳中和与 CCUS · Mapping air pollution at high spatial resolution is essential for understanding, managing, and mitigating the adverse impacts of air pollution. Current air pollution monitoring approaches suffer from limited spatial cove…
• Intelligent Digital Twin for Predicting Technology Discourse Patterns: Agent-Based Modeling of User Interactions and Sentiment Dynamics in DeepSeek Discourse Case
  2025 · 数字孪生 · Understanding user interaction patterns during technology-triggered public discourse provides critical insights into how emerging technologies gain social meaning. This study develops an intelligent digital twin framewor…
• Digital Twins as Funhouse Mirrors: Five Key Distortions
  2025 · 数字孪生 · Scientists and practitioners are increasingly moving to deploy digital twins--LLM-based models of real individuals--across social science and policy research. We conduct 19 pre-registered studies spanning 164 diverse out…
• Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework
  2024 · AI Agent 生态 · This paper explores the use of Large Language Models (LLMs) in modeling real-world optimization problems. We concretely define the task of translating natural language descriptions into optimization models (NL2OPT) and p…
• Explainable AI for time series via Virtual Inspection Layers
  2024 · AI 安全与对齐 · The field of eXplainable Artificial Intelligence (XAI) has witnessed significant advancements in recent years. However, the majority of progress has been concentrated in the domains of computer vision and natural languag…
• Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning
  2024 · AI 安全与对齐 · Recently, multi-modal vision-language foundation models have gained significant attention in the medical field. While these models offer great opportunities, they still face crucial challenges, such as the requirement fo…
• Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias
  2024 · 医疗人工智能 · BACKGROUND: In medical education, particularly in anatomy and dermatology, generative artificial intelligence (AI) can be used to create customized illustrations. However, the underrepresentation of darker skin tones in …
• Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models
  2024 · 医疗人工智能 · BACKGROUND: Integrating artificial intelligence (AI) into intensive care practices can enhance patient care by providing real-time predictions and aiding clinical decisions. However, biases in AI models can undermine div…
• A framework towards digital twins for type 2 diabetes
  2024 · 数字孪生 · Introduction: A digital twin is a virtual representation of a patient's disease, facilitating real-time monitoring, analysis, and simulation. This enables the prediction of disease progression, optimization of care deliv…
• Characterizing barren plateaus in quantum ansätze with the adjoint representation
  2024 · 量子计算 · Variational quantum algorithms, a popular heuristic for near-term quantum computers, utilize parameterized quantum circuits which naturally express Lie groups. It has been postulated that many properties of variational q…
• Self-supervised pre-trained neural network for quantum natural language processing
  2024 · 量子计算 · Quantum computing models have propelled advances in many application domains. However, in the field of natural language processing (NLP), quantum computing models are limited in representation capacity due to the high li…
• Form factors, spectral and Källén-Lehmann representation in nonlocal quantum gravity
  2024 · 量子材料 · A bstract We discuss the conical region of convergence of exponential and asymptotically polynomial form factors and their integral representations. Then, we calculate the spectral representation of the propagator of non…
• QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning
  2024 · 量子材料 · Previous studies have shown that the three-dimensional (3D) geometric and electronic structure of molecules play a crucial role in determining their key properties and intermolecular interactions. Therefore, it is necess…
• Representation in AI Evaluations
  2023 · AI 安全与对齐 · Calls for representation in artificial intelligence (AI) and machine learning (ML) are widespread, with "representation" or "representativeness" generally understood to be both an instrumentally and intrinsically benefic…
• ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models
  2023 · 生物计算 · ModelCIF (github.com/ihmwg/ModelCIF) is a data information framework developed for and by computational structural biologists to enable delivery of Findable, Accessible, Interoperable, and Reusable (FAIR) data to users w…
• A brain-inspired object-based attention network for multiobject recognition and visual reasoning
  2023 · 仿生智能 · The visual system uses sequences of selective glimpses to objects to support goal-directed behavior, but how is this attention control learned? Here we present an encoder-decoder model inspired by the interacting bottom-…
• Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
  2023 · 深海科技 · Machine learning algorithms have had a profound impact on the field of computer science over the past few decades. The performance of these algorithms heavily depends on the representations derived from the data during t…
• Digital Triplet: A Sequential Methodology for Digital Twin Learning
  2023 · 数字孪生 · A digital twin is a simulator of a physical system, which is built upon a series of models and computer programs with real-time data (from sensors or devices). Digital twins are used in various industries, such as manufa…
• Digital Twins for Smart Spaces—Beyond IoT Analytics
  2023 · 数字孪生 · Smart spaces, physical spaces that are integrated with sensor-enabled IoT devices, are a powerful paradigm for optimizing the operations of the space and improving its quality for the occupants. Managing the applications…
• Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions
  2023 · 数字孪生 · Abstract Recently, Digital Twins solutions have attracted a growing interest as a fundamental paradigm for managing data driven processes on smart cities. They are complex modelling that should include 3D interactive rep…
• DF-MKG-DTS: An integrated knowledge graph-based data representation method for digital twin shop-floors
  2026 · 数字孪生 · Digital Twin Shop-floor (DTS) systems require effective representation and integration of heterogeneous manufacturing data to support real-time decision-making. Existing approaches often suffer from limited semantic conn…
• Neural network potentials for chemistry: concepts, applications and prospects
  2022 · AI 安全与对齐 · Artificial Neural Networks (NN) are already heavily involved in methods and applications for frequent tasks in the field of computational chemistry such as representation of potential energy surfaces (PES) and spectrosco…
• Influence of language on perception and concept formation in a brain-constrained deep neural network model
  2022 · 仿生智能 · A neurobiologically constrained model of semantic learning in the human brain was used to simulate the acquisition of concrete and abstract concepts, either with or without verbal labels. Concept acquisition and semantic…
• Immersive Virtual Reality for Virtual and Digital Twins: A Literature Review to Identify State Of The Art and Perspectives
  2022 · 数字孪生 · Digital twins are a promising technology for various application scenarios such as industry 4.0, medical applications or even urban planning. However, the representation and interaction is often complex and not intuitive…
• Four Rs Framework for the development of a digital twin: The implementation of Representation with a FDM manufacturing machine
  2022 · 数字孪生 · This work considers the conceptualization and design of a 4 Rs framework for creating a general purpose, modular Digital Twin. The 4 Rs, correspond to the 4 different phases of a Digital Twin implementation, namely Repre…
• Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
  2022 · 数字孪生 · This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they approach their ultimate goal of creating a Di…
• An Off-Site Construction Digital Twin Assessment Framework Using Wood Panelized Construction as a Case Study
  2022 · 数字孪生 · Off-site construction is an innovative type of construction with the philosophy of standardizing the process and deploying the latest technological enablers. Many technologies, such as the Building Information Model (BIM…
• Investigating Digital Twin: A Systematic Mapping Study
  2022 · 数字孪生 · The term digital twin refers to a comprehensive digital representation of a physical system that serves as its real-time digital counterpart. Digital twin goes beyond traditional computer-aided applications and represent…
• Symbiotic Evolution of Digital Twin Systems and Dataspaces
  2022 · 数字孪生 · This paper proposes to combine the concept of digital twins with the concept of dataspaces to fulfill the original expectation that a digital twin is a comprehensive virtual representation of physical assets. Based upon …
• Offline Visual Representation Learning for Embodied Navigation
  2022 · 具身智能 · How should we learn visual representations for embodied agents that must see and move? The status quo is tabula rasa in vivo, i.e. learning visual representations from scratch while also learning to move, potentially aug…
• Prospects of quantum computing for molecular sciences
  2022 · 量子计算 · Abstract Molecular science is governed by the dynamics of electrons and atomic nuclei, and by their interactions with electromagnetic fields. A faithful physicochemical understanding of these processes is crucial for the…
• Graph neural networks for materials science and chemistry
  2022 · 量子材料 · Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis rou…
• Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
  2021 · 仿生智能 · How related are the representations learned by neural language models,\ntranslation models, and language tagging tasks? We answer this question by\nadapting an encoder-decoder transfer learning method from computer visio…
• Forming a sparse representation for visual place recognition using a neurorobotic approach
  2021 · 仿生智能 · This paper introduces a novel unsupervised neural network model for visual information encoding which aims to address the problem of large-scale visual localization. Inspired by the structure of the visual cortex, the mo…
• Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin
  2021 · 数字孪生 · The concept of digital twin is based on the linkage of a physical system with a digital model-based representation and shows numerous potentials in additive manufacturing (AM). The existing approaches related to digital …
• Curious Representation Learning for Embodied Intelligence
  2021 · 具身智能 · Self-supervised representation learning has achieved remarkable success in recent years. By subverting the need for supervised labels, such approaches are able to utilize the numerous unlabeled images that exist on the I…
• Florence: A New Foundation Model for Computer Vision
  2021 · 具身智能 · Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, wh…
• A Template for Digital Human Representation in Digital Twin Simulations of Social Human-Robot Interaction
  2024 · 数字孪生 · The virtual validation of a robot's social capability using digital twins requires assessing the perceived quality of human-machine interaction, reflected through various observ-able human parameters that influence the c…
• Dynamic Graph CNN for Learning on Point Clouds
  2019 · AI 安全与对齐 · Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices. While hand-designed features on po…
• Interpreting Wide-Band Neural Activity Using Convolutional Neural Networks
  2019 · AI 安全与对齐 · A bstract Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data often depends on manua…
• Attaining Learning Objectives by Ontological Reasoning using Digital Twins
  2019 · 数字孪生 · Learning Factories provide a propitious learning environment for nurturing production related competencies. However, several problems continue to plague their widespread adoption. This study mentions these issues before …
• Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
  2018 · 仿生智能 · Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems. However, the successful application of these methods in …
• Representation of Linguistic Form and Function in Recurrent Neural Networks
  2017 · AI 安全与对齐 · We present novel methods for analyzing the activation patterns of recurrent neural networks from a linguistic point of view and explore the types of linguistic structure they learn. As a case study, we use a standard sta…
• A Review of Recent Results on 3D Effects
  2016 · 地外矿物 · Three dimensions or three-dimensional or 3D are expressions that characterize the space around us, as perceived by our vision, in terms of width, height and depth. The term "3D" is also (and improperly) used to refer to …
• A Framework for Genetic Logic Synthesis
  2015 · 生物计算 · Digital electronic circuits have inspired synthetic biologists to program living cells with synthetic decision-making circuits by creating multilevel genetic logic gates. In both genetic and electronic circuits, logic sy…
• EnrichNet: network-based gene set enrichment analysis
  2012 · 仿生智能 · MOTIVATION: Assessing functional associations between an experimentally derived gene or protein set of interest and a database of known gene/protein sets is a common task in the analysis of large-scale functional genomic…
• Computing Spatial Qualities For Architecture
  2008 · 空间计算 · Computational representation of spatial qualities can lead us to a better understanding of how we construct spatial concepts. Analyses of spatial qualities can support architects in reasoning about the form of a configur…
• Computing distribution of scale independent motifs in biological sequences
  2006 · 生物计算 · The use of Chaos Game Representation (CGR) or its generalization, Universal Sequence Maps (USM), to describe the distribution of biological sequences has been found objectionable because of the fractal structure of that …
• MEGA2: molecular evolutionary genetics analysis software
  2001 · 生物计算 · UNLABELLED: We have developed a new software package, Molecular Evolutionary Genetics Analysis version 2 (MEGA2), for exploring and analyzing aligned DNA or protein sequences from an evolutionary perspective. MEGA2 vastl…
• Reduced surface: An efficient way to compute molecular surfaces
  1996 · 生物计算 · Because of their wide use in molecular modeling, methods to compute molecular surfaces have received a lot of interest in recent years. However, most of the proposed algorithms compute the analytical representation of on…
• The Executable Digital Twin: merging the digital and the physics worlds
  2022 · 数字孪生 · While the digital twin has become an intrinsic part of the product creation process, its true power lies in the connectivity of the digital representation with its physical counterpart. Data acquired on the physical asse…
• Modelling concrete and abstract concepts using brain-constrained deep neural networks
  2021 · 仿生智能 · A neurobiologically constrained deep neural network mimicking cortical area function relevant for sensorimotor, linguistic and conceptual processing was used to investigate the putative biological mechanisms underlying c…

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