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• Viridis Compiled Theorem Stack — Canon v10.2.0 (The Equilibrium Wave: Effortless Equilibrium + Perennial Corridor + Decoherent Selection + Mutualistic Attestation + Thermodynamic Attention + Stewardship Setpoint folded into the spine)
  The Viridis Canon — Lean-Checked Conditional Mathematics for the Intelligence Bound. A machine-checked formal corpus underpinning the Viridis research program on the thermodynamics of intelligence and its application to planetary conservation. Its spine is the…
  datacite Hart, Justin D., Aristotle (Harmonic) 2026 置信度 0.66 Intelligence BoundLean 4formal verificationthermodynamicsLandauer
• Viridis Compiled Theorem Stack — Canon v10.2.0 (The Equilibrium Wave: Effortless Equilibrium + Perennial Corridor + Decoherent Selection + Mutualistic Attestation + Thermodynamic Attention + Stewardship Setpoint folded into the spine)
  The Viridis Canon — Lean-Checked Conditional Mathematics for the Intelligence Bound. A machine-checked formal corpus underpinning the Viridis research program on the thermodynamics of intelligence and its application to planetary conservation. Its spine is the…
  datacite Hart, Justin D., Aristotle (Harmonic) 2026 置信度 0.66 Intelligence BoundLean 4formal verificationthermodynamicsLandauer
• GEO-OBS Sprint 2A — Pre-Registration: H_GEO-RUPTURE v2 on Etna 2021–2023
  Pre-registration for GEO-OBS Sprint 2A. Frozen before Etna data retrieval. No data has been seen at time of upload. Hypothesis H_GEO-RUPTURE v2: Two independent proxy estimates of recoverability (Omori-p decay exponent and b-value) show systematic decline in t…
  datacite Mortensen, Maria Edlenborg 2026 置信度 0.66 AI governance AI alignment decision systems algorithmic accountability algorithmic transparency decision architecturerecoverabilitypre-registrationvolcanic seismicityEtna
• GEO-OBS Sprint 2A — Pre-Registration: H_GEO-RUPTURE v2 on Etna 2021–2023
  Pre-registration for GEO-OBS Sprint 2A. Frozen before Etna data retrieval. No data has been seen at time of upload. Hypothesis H_GEO-RUPTURE v2: Two independent proxy estimates of recoverability (Omori-p decay exponent and b-value) show systematic decline in t…
  datacite Mortensen, Maria Edlenborg 2026 置信度 0.66 AI governance AI alignment decision systems algorithmic accountability algorithmic transparency decision architecturerecoverabilitypre-registrationvolcanic seismicityEtna
• Comparative cross-methodological analysis of the IDH-wildtype glioblastoma tumor microenvironment.
  PURPOSE: Glioblastoma, IDH-wildtype is a highly aggressive and often recurrent brain malignancy characterized by a profoundly immunosuppressive and heterogeneous tumor microenvironment. In this study, we aimed to systematically compare commonly used immune pro…
  pubmed Cakmak P, Lun JH, Köhler M, Burger MC 等 2026 Feb 28 置信度 0.82
• Letter to the Editor regarding "Robotic-Assisted unicompartmental knee arthroplasty restores native joint line height and reduces alignment outliers".
  pubmed Kocak S 2026 Apr 置信度 0.82
• From mouth to muscle: mechanistic and interventional perspectives on the tongue-coating microbiome in sarcopenia.
  Sarcopenia, the progressive loss of skeletal muscle mass and function, needs upstream, low-burden tools for early detection and high-frequency monitoring, especially in older adults. Conventional assessments such as handgrip strength and gait speed mainly capt…
  pubmed Zhao X, Weng Y, Huang R, Hu Y 2026 Feb 27 置信度 0.82
• Hand movements prediction via fNIRS and AI algorithms.
  BACKGROUND: Hand movement prediction enables the creation of personalized rehabilitation programs that align with individual neural patterns. It is particularly beneficial for patients recovering from strokes or other motor impairments, allowing therapists to …
  pubmed Jafari S, Sharini H, Jalalvandi M, Nabizadeh AH 2026 Feb 27 置信度 0.82
• Comparative analysis of large language models as decision support tools in oral pathology.
  This study evaluated the performance of four large language model based chatbots (LLMs) (ChatGPT-4.0, ChatGPT o1-preview, Gemini, and Meta AI) as decision-support systems for interpreting histopathologic descriptions of oral lesions, assessing agreement betwee…
  pubmed Alvarez-Silberberg VI, Alvarez-Silberberg CP, Galletti C, Flores-Fraile J 等 2026 Feb 27 置信度 0.82
• Improving personalized recommendations system using graph attention networks driven by perceived complexity and innovation.
  This paper presents a product recommendation system (GAT-RS) based on perceived complexity and perceived innovation in product reviews. Perceived complexity refers to the usability of a product, while perceived innovation refers to the extent to which somethin…
  pubmed Ullah S, Khan A, Khan KU, Amanullah 等 2026 Feb 27 置信度 0.82
• Investigating the optoelectronic properties and photovoltaic performance of Na(2)AuGaBr(6) based double perovskite solar cells via numerical simulation and AI techniques.
  This study offers a thorough analysis of Density Functional Theory (DFT) and SCAPS-1D to assess the optoelectronic performance of cubic Na2AuGaBr6 double perovskites, highlighting its potential for advanced optoelectronic and photovoltaic applications. Device …
  pubmed Biswas BC, Shimul AI, Paul I, AlFaify S 等 2026 Feb 27 置信度 0.82
• Electric-load forecasting using interval models based on granularity and justifiable principles.
  Traditional load-forecasting methods rely heavily on extensive historical data to predict future values, thus limiting their applicability in long-term forecasts where historical data may be unavailable or irrelevant. While several forecasting techniques, such…
  pubmed Al-Hmouz R, Mansouri M, Al-Badi A, Awad ASA 等 2026 Feb 27 置信度 0.82
• AI-enhanced therapeutic drug monitoring for vancomycin and β-lactam antibiotics in critical care: from population PK to bedside algorithms.
  Although sepsis and other severe infections in intensive care are common and deadly, obtaining safe and effective exposure for vancomycin and broad-spectrum β-lactams is difficult because of substantial kinetic variability, operational difficulties with …
  pubmed Al Meslamani AZ, Jarab AS, Merghani Ali Mohammed E 2026 Mar 置信度 0.82
• Shear flow promotes bacterial growth and shapes spatial gradients by rapidly replenishing scarce nutrients.
  In laboratory settings, bacteria grow in static culture with more nutrients than they require. However, bacteria in nature experience flowing environments that are nutrient-limited. Using microfluidics and single-cell imaging, we discover that shear flow promo…
  pubmed Padron GC, Chen S, Sharma A, Modi Z 等 2026 Apr 8 置信度 0.82
• Designing an Indicator‑Driven, Value‑Based Architecture for Pneumonia Prevention in Japan: A Formative Policy Viewpoint on Adult Vaccination and Oral Care.
  Japan's aging society concentrates pneumonia burden across communities, long‑term care, perioperative pathways, and hospitals. Adult pneumococcal and influenza vaccination are supported by trials and meta‑analyses and are often cost‑effect…
  pubmed Kubota K, Igarashi A, Fujihara S, Imai K 2026 Feb 27 置信度 0.82
• A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments.
  Creating detailed 3D human avatars with fitted garments traditionally requires specialized expertise and labor-intensive workflows. While recent advances in generative AI have enabled text-to-3D human and clothing synthesis, existing methods fall short in offe…
  pubmed Sun Z, Wen YH, Fang HJ, Ye S 等 2026 Jul 置信度 0.82
• Precision vs. paradox: A systematic review and meta-analysis of clinical outcomes, radiographic accuracy and cost-effectiveness in robotic-assisted total knee arthroplasty (2015-2025).
  Robotic-assisted total knee arthroplasty (RA-TKA) was designed to reduce the “dissatisfaction gap” seen in manual TKA (m-TKA) because it allows surgery to be more precise. However, its long-term clinical superiority and cost-utility remain the su…
  pubmed Yadavalli S, Sharma P 2026 Feb 27 置信度 0.82
• Course design in the age of AI
  I develop a model of learning-by-doing and course design, and use it to study the impacts of artificial intelligence (AI). A myopic student faces a sequence of tasks that he can work on or delegate to AI. Work requires costly effort but builds skill; delegatio…
  arxiv Benjamin Davies 2026-07-21T05:46:28Z 置信度 0.78 econ.TH
• Beyond the Human-AI Binaries: Advanced Writers' Self-Directed Use of Generative AI in Academic Writing
  This study explores the self-directed use of Generative AI (GAI) in academic writing among advanced L2 English writers, challenging assumptions that GAI undermines meaningful learning and holds less value for experienced learners. Through case studies, we inve…
  arxiv Chaoran Wang, Wei Xu, Xiao Tan 2025-05-17T22:48:44Z 置信度 0.78 cs.CY
• Tweeting AI: Perceptions of Lay vs Expert Twitterati
  With the recent advancements in Artificial Intelligence (AI), various organizations and individuals are debating about the progress of AI as a blessing or a curse for the future of the society. This paper conducts an investigation on how the public perceives t…
  arxiv Lydia Manikonda, Subbarao Kambhampati 2017-09-25T19:14:21Z 置信度 0.78 cs.AIcs.CYcs.SI
• Artificial Intelligence, Domain AI Readiness, and Firm Productivity
  Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which …
  arxiv Sipeng Zeng, Xiaoning Wang, Tianshu Sun 2025-08-13T09:13:24Z 置信度 0.78 econ.GN
• Mechanical Alignment of Prolate Cosmic‐Dust Grains: Cross Section Alignment
  This paper deals with the quantitative analysis of a recently introduced mechanism of mechanical alignment of suprathermally rotating cosmic-dust grains. These grains, whose rapid rotation is mostly due to H2 formation, are insensitive to stochastic torques ar…
  crossref A.M. Lazarian, M. Efroimsky, J. Ozik 2002-07-26T18:42:27Z 置信度 0.70
• Alignment Mark Architecture Effect on Alignment Signal Behavior in Advanced Lithography
  The downscaling of CMOS technology becomes a challenge to the scanner alignment system since overlay and alignment accuracy becomes tighter. Such a tight overlay requirement requires a very stable alignment performance. A stable alignment performance is indica…
  crossref Normah Ahmad, Uda Hashim, Mohd Jeffery Manaf, Kader Ibrahim Abdul Wahab 2007-07-12T11:56:21Z 置信度 0.70
• Dampak Kebijakan Tata Tertib Sekolah Terhadap Perilaku Siswa
  This research aims to explore the impact of school regulations on student discipline using a qualitative method with a case study approach. Data were collected through observations and interviews with students and teachers. The results indicate that school reg…
  crossref Rita Kurnia Murni, Muhamad Ali, Hary Murcahyanto 2024-08-06T23:35:02Z 置信度 0.70
• Plat: A Web Based Protein Local Alignment Tool
  Protein structure largely determines functionality; three-dimensional structural alignment is thus important to analysis and prediction of protein function. Protein Local Alignment Tool (PLAT) is an implementation of a web-based tool with a graphic interface t…
  crossref Stephen Jaegle 2020-06-10T15:32:28Z 置信度 0.70
• Supplemental Information 5: C-terminal amino acid alignment of SUS
  crossref 2022-01-10T03:09:43Z 置信度 0.70
• AI auditing: The Broken Bus on the Road to AI Accountability
  One of the most concrete measures to take towards meaningful AI accountability is to consequentially assess and report the systems' performance and impact. However, the practical nature of the "AI audit" ecosystem is muddled and imprecise, making it difficult …
  arxiv Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione 等 2024-01-25T19:00:29Z 置信度 0.78 cs.CY
• Cultural Dimensions of AI Perception: Charting Expectations, Risks, Benefits, Tradeoffs, and Value in Germany and China
  As artificial intelligence (AI) continues to advance, understanding public perceptions -- including biases, risks, and benefits -- is essential for guiding research priorities and AI alignment, shaping public discourse, and informing policy. This exploratory s…
  arxiv Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier 等 2024-12-18T13:34:44Z 置信度 0.78 cs.CYcs.AIcs.HC
• Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk?
  We assess whether AI systems can credibly evaluate investment risk appetite-a task that must be thoroughly validated before automation. Our analysis was conducted on proprietary systems (GPT, Claude, Gemini) and open-weight models (LLaMA, DeepSeek, Mistral), u…
  arxiv Divij Chawla, Ashita Bhutada, Do Duc Anh, Abhinav Raghunathan 等 2025-05-25T02:56:19Z 置信度 0.78 cs.CL
• MQG4AI Towards Responsible High-risk AI -- Illustrated for Transparency Focusing on Explainability Techniques
  As artificial intelligence (AI) systems become increasingly integrated into critical domains, ensuring their responsible design and continuous development is imperative. Effective AI quality management (QM) requires tools and methodologies that address the com…
  arxiv Miriam Elia, Alba Maria Lopez, Katherin Alexandra Corredor, Bernhard Bauer 等 2025-02-17T15:14:52Z 置信度 0.78 cs.CY
• ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners
  Small business owners (SBOs) often lack the resources and design experience needed to produce high-quality advertisements. To address this, we developed ACAI (AI Co-Creation for Advertising and Inspiration), an GenAI-powered multimodal advertisement creation t…
  arxiv Nimisha Karnatak, Adrien Baranes, Rob Marchant, Triona Butler 等 2025-03-09T19:00:36Z 置信度 0.78 cs.HCcs.AIcs.CYcs.ET
• ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
  The advancement of AI technologies has greatly increased the complexity of AI pipelines as they include many stages such as data collection, pre-processing, training, evaluation and visualisation. To provide effective and accessible AI solutions, it is importa…
  arxiv Simon Torka, Sahin Albayrak 2024-12-14T20:10:18Z 置信度 0.78 cs.DCcs.AIcs.LGcs.SE
• Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network
  Deep neural networks have achieved promising results in stock trend prediction. However, most of these models have two common drawbacks, including (i) current methods are not sensitive enough to abrupt changes of stock trend, and (ii) forecasting results are n…
  openalex Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen 等 2019-05-13 置信度 0.72 Computer scienceStock (firearms)Knowledge graphConvolutional neural networkArtificial intelligence
• MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction
  openalex Jianxin Wang, Pengju Ding, Yongxin Zhu, Xin Gao 等 2025-05-04 置信度 0.72 Artificial neural networkComputer scienceScale (ratio)GraphArtificial intelligence
• Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images
  Traditional screening of cervical cancer type classification majorly depends on the pathologist's experience, which also has less accuracy. Colposcopy is a critical component of cervical cancer prevention. In conjunction with precancer screening and treatment,…
  openalex Chandran Venkatesan, M. G. Sumithra, Alagar Karthick, Tony George 等 2021-01-01 置信度 0.72 ColposcopyCervical cancerArtificial intelligenceConvolutional neural networkMedicine
• A survey of methods for explaining black box models
  In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many…
  openalex Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini 等 2019-01-01 置信度 0.72 InterpretabilityBlack boxComputer sciencePerspective (graphical)Data science
• A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability
  With the deepening of neuroscience research, data mining of brain signals is becoming an emerging topic. Among various brain signals, electroencephalography (EEG) has attracted more and more attention due to its advantages of non-invasiveness, portability, and…
  openalex Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin 2023-04-01 置信度 0.72 InterpretabilityComputer scienceArtificial intelligenceArtificial neural networkBayesian probability
• Textual Explanations for Self-Driving Vehicles
  openalex Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny 等 2018-01-01 置信度 0.72 Computer scienceHuman–computer interactionArtificial intelligence
• Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks
  Current practice of building QSAR models usually involves computing a set of descriptors for the training set compounds, applying a descriptor selection algorithm and finally using a statistical fitting method to build the model. In this study, we explored the…
  openalex Suman Chakravarti, Sai Radha Mani Alla 2019-09-06 置信度 0.72 Quantitative structure–activity relationshipTerm (time)Artificial neural networkArtificial intelligenceComputer science
• FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability
  openalex Gihan Panapitiya, Peiyuan Gao, C Mark Maupin, Emily Saldanha 2024-11-08 置信度 0.72 InterpretabilityProperty (philosophy)Artificial neural networkComputer scienceGraph
• Aggregating Local Deep Features for Image Retrieval
  Several recent works have shown that image descriptors produced by deep convolutional neural networks provide state-of-the-art performance for image classification and retrieval problems. It also has been shown that the activations from the convolutional layer…
  openalex Artem Babenko Yandex, Victor Lempitsky 2015-12-01 置信度 0.72 OverfittingComputer scienceArtificial intelligenceConvolutional neural networkPooling
• Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking
  Abstract Graph neural networks (GNNs) have been widely used in molecular property prediction, but explaining their black-box predictions is still a challenge. Most existing explanation methods for GNNs in chemistry focus on attributing model predictions to ind…
  openalex Zhenhua Wu, Jike Wang, Hongyan Du, Dejun Jiang 等 2023-05-04 置信度 0.72 Computer scienceSegmentationArtificial intelligenceMolecular graphProperty (philosophy)
• Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network.
  BACKGROUND: Protein-Carbohydrate interactions are crucial in many biological processes with implications to drug targeting and gene expression. Nature of protein-carbohydrate interactions may be studied at individual residue level by analyzing local sequence a…
  openalex Adeel Malik, Shandar Ahmad 2007-01-01 置信度 0.72 Computational biologyBinding siteProtein secondary structureAmino acidProtein structure prediction
• Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
  In the context of skeleton-based action recognition, graph convolutional networks (GCNs) have been rapidly developed, whereas convolutional neural networks (CNNs) have received less attention. One reason is that CNNs are considered poor in modeling the irregul…
  openalex Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie 2022-06-28 置信度 0.72 Convolutional neural networkComputer scienceTopology (electrical circuits)Convolution (computer science)Context (archaeology)
• Interpretable Convolutional Filters with SincNet
  Deep learning is currently playing a crucial role toward higher levels of artificial intelligence. This paradigm allows neural networks to learn complex and abstract representations, that are progressively obtained by combining simpler ones. Nevertheless, the …
  openalex Mirco Ravanelli, Yoshua Bengio 2018-11-23 置信度 0.72 Computer scienceArtificial intelligence
• Training Neural Networks Without Gradients: A Scalable ADMM Approach
  With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conventional optimization algorithms rely on stochastic gradient methods that don't sc…
  openalex Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh 等 2016-05-06 置信度 0.72 Computer scienceScalabilityGradient descentConvergence (economics)Saddle point
• Graph Structural-topic Neural Network
  Graph Convolutional Networks (GCNs) achieved tremendous success by effectively gathering local features for nodes. However, commonly do GCNs focus more on node features but less on graph structures within the neighborhood, especially higher-order structural pa…
  openalex Qingqing Long, Yilun Jin, Guojie Song, Yi Li 等 2020-08-20 置信度 0.72 InterpretabilityComputer scienceGraphTheoretical computer scienceNode (physics)
• Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites
  openalex Bokai Liu, Weizhuo Lu, Thomas Olofsson, Xiaoying Zhuang 等 2023-10-20 置信度 0.72 Artificial neural networkThermal conductivityMultiscale modelingGradient boostingFinite element method
• Automated diagnosis of epileptic EEG using entropies
  openalex U. Rajendra Acharya, Filippo Molinari, S. Vinitha Sree, Subhagata Chattopadhyay 等 2011-08-21 置信度 0.72 Pattern recognition (psychology)Sample entropyNaive Bayes classifierArtificial intelligenceElectroencephalography
• Stochastic Neural Networks for Hierarchical Reinforcement Learning
  Deep reinforcement learning has achieved many impressive results in recent years. However, tasks with sparse rewards or long horizons continue to pose significant challenges. To tackle these important problems, we propose a general framework that first learns …
  openalex Carlos Florensa, Yan Duan, Pieter Abbeel 2016-11-05 置信度 0.72 Reinforcement learningComputer scienceArtificial intelligenceMachine learningDownstream (manufacturing)
• Neural-vascular relationships in central retina of macaque monkeys (Macaca fascicularis)
  The relationship of the vasculature to the neuronal layers was studied in whole-mounts and in sections of macaque retinas. Like other central nervous structures, primate retinas have local variations in vascularity that reflect local variations in metabolism, …
  openalex D. Max Snodderly, RS Weinhaus, JC Choi 1992-04-01 置信度 0.72 RetinaAnatomyGanglionGanglion cell layerMacaque
• A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST
  Abstract This article proposes a neural-network approach to predict and simulate human mortality rates. This semi-parametric model is capable to detect and duplicate non-linearities observed in the evolution of log-forces of mortality. The method proceeds in t…
  openalex Donatien Hainaut 2018-01-09 置信度 0.72 Artificial neural networkEconometricsGeneralizationParametric modelComputer science
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
  Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood. Existing work that adapts GCN to recommendation lacks thorough ablation anal…
  openalex Xiangnan He, Kuan Deng, Xiang Wang, Yan Li 等 2020-02-06 置信度 0.72 Collaborative filteringComputer scienceGraphRecommender systemConvolution (computer science)
• Automated Seismic Source Characterization Using Deep Graph Neural Networks
  Abstract Most seismological analysis methods require knowledge of the geographic location of the stations comprising a seismic network. However, common machine learning tools used in seismology do not account for this spatial information, and so there is an un…
  openalex Martijn van den Ende, Jean‐Paul Ampuero 2020-08-31 置信度 0.72 Computer scienceArtificial neural networkAutomationGraphWarning system
• On the relationship between neural networks, pattern recognition and intelligence
  openalex James C. Bezdek 1992-02-01 置信度 0.72 Artificial neural networkComputer scienceArtificial intelligenceRobustness (evolution)Machine learning
• Convolutional Neural Network Interpretability with General Pattern Theory
  Ongoing efforts to understand deep neural networks (DNN) have provided many insights, but DNNs remain incompletely understood. Improving DNN's interpretability has practical benefits, such as more accountable usage, better algorithm maintenance and improvement…
  openalex Erico Tjoa, Cuntai, Guan 2021-02-05 置信度 0.72 InterpretabilityMNIST databaseComputer scienceConvolutional neural networkArtificial intelligence
• Automated classification of osteomeatal complex inflammation on computed tomography using convolutional neural networks
  BACKGROUND: Convolutional neural networks (CNNs) are advanced artificial intelligence algorithms well suited to image classification tasks with variable features. These have been used to great effect in various real-world applications including handwriting rec…
  openalex Naweed I. Chowdhury, Timothy L. Smith, Rakesh K. Chandra, Justin H. Turner 2018-08-11 置信度 0.72 Artificial intelligenceConvolutional neural networkReceiver operating characteristicMedicinePattern recognition (psychology)
• Fish species identification using a convolutional neural network trained on synthetic data
  Abstract Acoustic-trawl surveys are an important tool for marine stock management and environmental monitoring of marine life. Correctly assigning the acoustic signal to species or species groups is a challenge, and recently trawl camera systems have been deve…
  openalex Vaneeda Allken, Nils Olav Handegard, Shale Rosen, Tiffanie Schreyeck 等 2018-09-11 置信度 0.72 Convolutional neural networkComputer scienceArtificial intelligenceStock assessmentGround truth
• Improve Interpretability of Neural Networks via Sparse Contrastive Coding
  Although explainable artificial intelligence (XAI) has achieved remarkable developments in recent years, there are few efforts have been devoted to the following problems, namely, i) how to develop an explainable method that could explain the black-box in a mo…
  openalex Junhong Liu, Yijie Lin, Liang Jiang, Jia Liu 等 2022-01-01 置信度 0.72 InterpretabilityComputer scienceArtificial intelligenceNatural language processingSimilarity (geometry)
• RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
  openalex Wadii Boulila, Mokhtar Sellami, Maha Driss, Mohammed Al-Sarem 等 2021-02-15 置信度 0.72 Convolutional neural networkComputer scienceBig dataSPARK (programming language)Remote sensing
• NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
  In this work, we formulate Newron:a generalization of the McCulloch-Pitts neuron structure. This new framework aims to explore additional desirable properties of artificial neurons. We show that some specializations of Newronallow the network to be interpretab…
  openalex Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri 2022-07-18 置信度 0.72 InterpretabilityGeneralizationComputer scienceArtificial intelligenceArtificial neural network
• Interpretable Convolutional Neural Networks Using a Rule-Based Framework for Classification
  openalex Zhen Xi, George Panoutsos 2020-01-01 置信度 0.72 MNIST databaseInterpretabilityArtificial intelligenceComputer scienceFuzzy logic
• Small lung nodules detection based on local variance analysis and probabilistic neural network
  openalex Marcin Woźniak, Dawid Połap, Giacomo Capizzi, Grazia Lo Sciuto 等 2018-04-27 置信度 0.72 Artificial intelligenceComputer sciencePattern recognition (psychology)Probabilistic logicVariance (accounting)
• Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images
  BACKGROUND: Radiotherapy is one of the main treatment methods for nasopharyngeal carcinoma (NPC). It requires exact delineation of the nasopharynx gross tumor volume (GTVnx), the metastatic lymph node gross tumor volume (GTVnd), the clinical target volume (CTV…
  openalex Kuo Men, Xinyuan Chen, Ye Zhang, Tao Zhang 等 2017-12-20 置信度 0.72 SegmentationComputer scienceArtificial intelligenceNasopharyngeal carcinomaDeep learning
• A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin
  Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits the applicability of conventional TOC prediction models. To …
  openalex Pan Zhang, Zilong Ren, Fengjiao Zhang, W. Wang 等 2025-11-05 置信度 0.72 InterpretabilityOil shaleArtificial neural networkBackpropagationTotal organic carbon
• EEG based Major Depressive disorder and Bipolar disorder detection using\n Neural Networks: A review
  Mental disorders represent critical public health challenges as they are\nleading contributors to the global burden of disease and intensely influence\nsocial and financial welfare of individuals. The present comprehensive review\nconcentrate on the two mental…
  openalex Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza 等 2020-09-28 置信度 0.72 ElectroencephalographyBipolar disorderMajor depressive disorderPsychiatryPsychology
• Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays
  The relationship between noncoding DNA sequence and gene expression is not well-understood. Massively parallel reporter assays (MPRAs), which quantify the regulatory activity of large libraries of DNA sequences in parallel, are a powerful approach to character…
  openalex Rajiv Movva, Peyton Greenside, Georgi K. Marinov, Surag Nair 等 2019-06-17 置信度 0.72 BiologyComputational biologyRegulatory sequenceChromatinGenetics
• Reorganization of brain networks in aging: a review of functional connectivity studies
  Healthy aging (HA) is associated with certain declines in cognitive functions, even in individuals that are free of any process of degenerative illness. Functional magnetic resonance imaging (fMRI) has been widely used in order to link this age-related cogniti…
  openalex Roser Sala‐Llonch, David Bartrés-Faz, Carme Junqué 2015-05-21 置信度 0.72 CognitionDefault mode networkFunctional magnetic resonance imagingFunctional connectivityPsychology
• A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG
  Electroencephalogram (EEG) is able to indicate states of mental activity ranging from concentrated cognitive efforts to sleepiness. Such mental activity can be reflected by EEG energy. In particular, intrusion of EEG theta wave activity into the beta activity …
  openalex Derong Liu, Zhongyu Pang, Stephen Lloyd 2008-02-01 置信度 0.72 NarcolepsyElectroencephalographyWakefulnessAlertnessObstructive sleep apnea
• Recent advances in physical reservoir computing: A review
  Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state networks and liquid state machines. A reservoir computing system consists of a res…
  openalex Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux, Ryosho Nakane 等 2019-03-20 置信度 0.72 Reservoir computingComputer scienceArtificial neural networkReservoir modelingArtificial intelligence
• Prediction of estuarine water quality using interpretable machine learning approach
  openalex Shuo Wang, Hui Peng, Shengkang Liang 2021-12-20 置信度 0.72 EstuaryWater qualityEnvironmental sciencePollutionEcosystem
• Neural representation of abstract and concrete concepts: A meta‐analysis of neuroimaging studies
  A number of studies have investigated differences in neural correlates of abstract and concrete concepts with disagreement across results. A quantitative, coordinate-based meta-analysis combined data from 303 participants across 19 functional magnetic resonanc…
  openalex Jing Wang, Julie Conder, David Blitzer, Svetlana V. Shinkareva 2010-01-27 置信度 0.72 PrecuneusFusiform gyrusParahippocampal gyrusPsychologyNeuroimaging
• Understanding Spatial Context in Convolutional Neural Networks Using Explainable Methods: Application to Interpretable GREMLIN
  Abstract Convolutional neural networks (CNNs) are opening new possibilities in the realm of satellite remote sensing. CNNs are especially useful for capturing the information in spatial patterns that is evident to the human eye but has eluded classical pixelwi…
  openalex Kyle Hilburn 2023-06-08 置信度 0.72 Computer scienceConvolutional neural networkContext (archaeology)Artificial intelligenceMachine learning
• Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
  We show that faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain. We used deep neural networks to extract features from 35,326 facial images. These features were entered into a logistic regressi…
  openalex Yilun Wang, Michał Kosiński 2017-09-07 置信度 0.72 Sexual orientationClassifier (UML)PsychologyFace perceptionLogistic regression
• Developing artificial neural networks for safety critical systems
  openalex Zeshan Kurd, Tim Kelly, Jim Austin 2006-03-29 置信度 0.72 Artificial neural networkComputer scienceSafety assuranceCertificationSystem safety
• Generalizing Graph Neural Networks on Out-of-Distribution Graphs
  Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of GNNs in Out-Of-Distribution (OOD) settings. The fundamental re…
  openalex Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui 等 2023-10-02 置信度 0.72 Spurious relationshipComputer scienceArtificial intelligencePoolingMachine learning
• Learning to learn with quantum neural networks via classical neural networks
  Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges. One such challenge is finding good parameter initialization heuristics that ens…
  openalex Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung 等 2019-07-11 置信度 0.72 InitializationQuantumMaxima and minimaArtificial neural networkQuantum machine learning
• Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability
  Determining whether hypotensive patients in intensive care units (ICUs) should receive fluid bolus therapy (FBT) has been an extremely challenging task for intensive care physicians as the corresponding increase in blood pressure has been hard to predict. Our …
  openalex Uma Girkar, Ryo Uchimido, Li-wei H. Lehman, Peter Szolovits 等 2018-12-03 置信度 0.72 InterpretabilityBlood pressureArtificial neural networkBolus (digestion)Medicine
• TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
  Abstract Illuminating interactions between proteins and small drug molecules is a longstanding challenge in the field of drug discovery. Despite the importance of understanding these interactions, most previous works are limited by hand-designed scoring functi…
  openalex Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao 等 2022-06-06 置信度 0.72 Artificial intelligenceArtificial neural networkComputer scienceBenchmark (surveying)Machine learning
• Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
  Oil palm trees are important economic crops in Malaysia and other tropical areas. The number of oil palm trees in a plantation area is important information for predicting the yield of palm oil, monitoring the growing situation of palm trees and maximizing the…
  openalex Weijia Li, Haohuan Fu, Le Yu, Arthur P. Cracknell 2016-12-30 置信度 0.72 PalmPalm oilComputer scienceTree (set theory)Convolutional neural network
• Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
  We implement a visual interpretability method Layer-wise Relevance Propagation (LRP) on top of 3D U-Net trained to perform lesion segmentation on the small dataset of multi-modal images provided by ISLES 2017 competition. We demonstrate that LRP modifications …
  openalex Erico Tjoa, Heng, Guo, Yuhao Lu, Cuntai Guan 2019-11-19 置信度 0.72 Stroke (engine)Artificial neural networkIschemic strokeArtificial intelligenceExtraction (chemistry)
• Interpreting CNNs via Decision Trees
  This paper aims to quantitatively explain the rationales of each prediction that is made by a pre-trained convolutional neural network (CNN). We propose to learn a decision tree, which clarifies the specific reason for each prediction made by the CNN at the se…
  openalex Quanshi Zhang, Yu Yang, Haotian Ma, Ying Wu 2019-06-01 置信度 0.72 Decision treeComputer scienceConvolutional neural networkArtificial intelligenceObject (grammar)
• Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification
  With limited number of labeled samples, hyperspectral image (HSI) classification is a difficult Problem in current research. The graph neural network (GNN) has emerged as an approach to semi-supervised classification, and the application of GNN to hyperspectra…
  openalex Yao Ding, Zhili Zhang, Zhao Xiao-feng, Wei Cai 等 2022-02-23 置信度 0.72 Hyperspectral imagingGraphComputer scienceArtificial neural networkPattern recognition (psychology)
• CAA-X V4: Cognitive Architecture eXtension for Zero-Shot Agent Challenges
  ⚠️ LEGACY RECORD — EARLY STANDALONE UPLOAD This is an early standalone version of the CAA-X V4 paper, uploaded prior to the establishment of the versioned CAA-X series. For the current, maintained version that is part of the CAA-X research program, please cite…
  datacite LU, Qi, LU, Qi 2026 置信度 0.66 Cognitive ArchitectureIntention-Driven AIPost-TransformerModular CognitionGlobal Workspace Theory
• Enforcement, not Alignment: an Action-Sealed Authority Gate for Autonomous AI Agents in the EU Digital Identity Wallet
  Version 2.2 (11 August 2026) — same-day repair of v2.1. Version 2.1 published the freshness-circularity correction, but its PDF was built with the superseded v1.0 cover: the old title (“Machine Mandates in the EU Digital Identity Wallet…”), the date 2026-07-07…
  datacite Sokolov, Anton 2026 置信度 0.66 EUDI WalleteIDAS 2.0SD-JWT VCOpenID4VPOpenID4VCI
• The Platform-Inherent Vascular Blind Spot: A Three-Pillar Methodological Rejection of Non-Evaluated mRNA Influenza Mass-Vaccination Strategies with Further Proof of the Inferiority Test Design (The Pohl Hypothesis ©)
  The Platform-Inherent Vascular Blind Spot: A Three-Pillar Methodological Rejection of Non-Evaluated mRNA Influenza Mass-Vaccination Strategies with Further Proof of the Inferiority Test Design (The Pohl Hypothesis) Corresponding Author: Christoph Pohl, MD¹`²Af…
  datacite Pohl, Christoph, MD 2026 置信度 0.66
• Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
  While existing AI-generated image detectors report high performance, we identify that this is largely driven by a critical prediction asymmetry: a bias toward the real class that severely limits sensitivity to generated content, especially under standard post-…
  datacite Kim, Dahye, Choi, Jaehyun, Seong, Hyun Seok, Kim, Seongho 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation
  Digital watermarking has emerged as a critical technique for provenance and copyright attribution in AI-generated imagery, yet its robustness against realistic, model-agnostic removal attacks remains poorly explored. Existing attacks either succeed only agains…
  datacite Cao, Jie, Li, Qi, Zhang, Zelin, Wu, Xiaodong 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• The Wikidata Knee Replacement Ecosphere: Dataset Description and Documentation
  The Wikidata Knee Replacement Ecosphere is an open, structured knowledge graph of knee replacement surgery, built on Wikidata beginning in January 2026. It provides machine-readable entities, class hierarchies, and referenced statements covering the surgical t…
  datacite Hatten, Brian R 2026 置信度 0.66 Arthroplasty, Replacement, KneeSemantic WebPatient Education as TopicOrthopedicsOrthopedic Surgeons
• Conscious Systems: How to Build Conscious Systems in the AI Era—From Startups to Governments
  In 1990, Peter Senge ended The Fifth Discipline with an explicit question — Chapter 19, literally titled "A Sixth Discipline?" This book is the answer. The Systems Intelligence Model (SIM) introduced in the book is not another philosophy. It is the design prac…
  datacite Kay, Han 2026 置信度 0.66 Systems ThinkingComplex Adaptive SystemsConscious Systems DesignConsciOSSystem Archetypes
• Conscious Systems: How to Build Conscious Systems in the AI Era—From Startups to Governments
  In 1990, Peter Senge ended The Fifth Discipline with an explicit question — Chapter 19, literally titled "A Sixth Discipline?" This book is the answer. The Systems Intelligence Model (SIM) introduced in the book is not another philosophy. It is the design prac…
  datacite Kay, Han 2026 置信度 0.66 Systems ThinkingComplex Adaptive SystemsConscious Systems DesignConsciOSSystem Archetypes
• Guarding the Signal: A Framework for Detecting and Repairing Semantic Drift in Generative AI
  Semantic drift, the progressive distortion of meaning in generative AI systems across multi-turn interactions, is emerging as a critical failure mode for large language models (LLMs), often preceding hallucinations, mimicry collapse, and model degradation. Thi…
  datacite Sweeney, Christopher 2025 置信度 0.66 semantic driftGuardian ProtocolNLI-based consistency scoringCitation precision and recallContent Overlap with Verifiable Tracing (COVT)
• Guarding the Signal: A Framework for Detecting and Repairing Semantic Drift in Generative AI
  Semantic drift, the progressive distortion of meaning in generative AI systems across multi-turn interactions, is emerging as a critical failure mode for large language models (LLMs), often preceding hallucinations, mimicry collapse, and model degradation. Thi…
  datacite Sweeney, Christopher 2025 置信度 0.66 semantic driftGuardian ProtocolNLI-based consistency scoringCitation precision and recallContent Overlap with Verifiable Tracing (COVT)
• The Epistemology of Sub-Optimal Optimization: Path Dependency and the Strategic Liability of the "Almost-Right" Trajectory
  This paper examines a critical behavioral pathology in organizational leadership and personal governance: the strategic liability of the "Almost-Right Path". While obvious strategic failures are readily intercepted by standard risk-management protocols, sub-op…
  datacite Marella, Venkata Sukumar 2025 置信度 0.66
• The Epistemology of Sub-Optimal Optimization: Path Dependency and the Strategic Liability of the "Almost-Right" Trajectory
  This paper examines a critical behavioral pathology in organizational leadership and personal governance: the strategic liability of the "Almost-Right Path". While obvious strategic failures are readily intercepted by standard risk-management protocols, sub-op…
  datacite Marella, Venkata Sukumar 2025 置信度 0.66
• Earthquake Saddle-Point Networks: Topological Skeleton of Plate-Boundary Transition Zones
  Topological saddle points of smoothed seismicity density fields form a low-dimensional network that constitutes the structural skeleton of plate-boundary transition zones - a continuous, sheet-like structure along subduction systems. Using a 3D density field (…
  datacite tygtDc, Deep Research 2026 置信度 0.66 earthquake seismicitytopological data analysisMorse theorysaddle point networkplate boundary
• Earthquake Saddle-Point Networks: Topological Skeleton of Plate-Boundary Transition Zones
  Topological saddle points of smoothed seismicity density fields form a low-dimensional network that constitutes the structural skeleton of plate-boundary transition zones - a continuous, sheet-like structure along subduction systems. Using a 3D density field (…
  datacite tygtDc, Deep Research 2026 置信度 0.66 earthquake seismicitytopological data analysisMorse theorysaddle point networkplate boundary
• Cascade Alignment Under Semantic Compression: A Pilot Study of System-Prompt Identity Layers in Agent Architectures
  We examine how compressing the layered system-prompt cascade of an LLM-backed agent affects identity-level alignment, measured by keyword recurrence in the agent’s responses to identity-probing prompts. Using a 15-call pilot (3 conditions × 5 prompts × 1 sampl…
  datacite Ruvalcaba, Cristian 2026 置信度 0.66
• Cascade Alignment Under Semantic Compression: A Pilot Study of System-Prompt Identity Layers in Agent Architectures
  We examine how compressing the layered system-prompt cascade of an LLM-backed agent affects identity-level alignment, measured by keyword recurrence in the agent’s responses to identity-probing prompts. Using a 15-call pilot (3 conditions × 5 prompts × 1 sampl…
  datacite Ruvalcaba, Cristian 2026 置信度 0.66
• A Phenomenological Luminosity Distance Derived from Spacetime Scale Redefinition: An Empirical Approach and Observational Verifications/시공간 척도 재정의로부터 도출된 현상론적 광도 거리: 경험적 접근 및 관측적 검증
  Author's Preface to the Third Edition (Key Revisions) In this Version 3, significant mathematical improvements have been introduced to the theoretical framework, transitioning the local derivative separation rule from an approximation to an exact geometric sol…
  datacite Kim, Sun-Gyu 2026 置信度 0.66 Dark EnergyCosmic ExpansionSpacetime GeometryGeneral RelativityJames Webb Space Telescope