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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11581062_37openalex-snapshot
Space-Limited Ranked Query Evaluation Using Adaptive Pruning
inferredcites →https://doi.org/10.1007/978-1-4612-9995-0openalex-snapshot
Measures of Association for Cross Classifications
inferredcites →https://doi.org/10.1007/978-3-642-04769-5_7openalex-snapshot
Weighted Rank Correlation in Information Retrieval Evaluation
inferredcites →https://doi.org/10.1007/springerreference_205502openalex-snapshot
Nonparametric Statistical Inference
inferredcites →https://doi.org/10.1016/j.comnet.2005.10.020openalex-snapshot
Methods for comparing rankings of search engine results
inferredcites →https://doi.org/10.1016/j.ipm.2005.03.008openalex-snapshot
Comparing rankings of search results on the Web
inferredcites →https://doi.org/10.1016/s0167-7152(98)00006-6openalex-snapshot
A weighted Kendall's tau statistic
inferredcites →https://doi.org/10.1080/00401706.1987.10488244openalex-snapshot
A Measure of Top – Down Correlation
inferredcites →https://doi.org/10.1080/01621459.1954.10501231openalex-snapshot
Measures of Association for Cross Classifications*
inferredcites →https://doi.org/10.1111/1467-842x.00110openalex-snapshot
Theory & Methods: Rank Correlation — an Alternative Measure
inferredcites →https://doi.org/10.1145/1008992.1009093openalex-snapshot
Topic prediction based on comparative retrieval rankings
inferredcites →https://doi.org/10.1145/1273221.1273223openalex-snapshot
On rank correlation in information retrieval evaluation
inferredcites →https://doi.org/10.1145/1390334.1390435openalex-snapshot
A new rank correlation coefficient for information retrieval
inferredcites →https://doi.org/10.1145/1416950.1416952openalex-snapshot
Rank-biased precision for measurement of retrieval effectiveness
inferredcites →https://doi.org/10.1145/1571941.1572017openalex-snapshot
On rank correlation and the distance between rankings
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/952532.952693openalex-snapshot
Methods for ranking information retrieval systems without relevance judgments
inferredcites →https://doi.org/10.1145/984321.984322openalex-snapshot
A study of smoothing methods for language models applied to information retrieval
inferredcites →https://doi.org/10.2307/2283757openalex-snapshot
The Art of Computer Programming. Volume 1: Fundamental Algorithms.
inferredcites →https://doi.org/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fifty years of topic development, thematic combination, and AI's evolving reach in Computers & Education
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Dynamic condition monitoring method based on dimensionality reduction techniques for data-limited industrial environments
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Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regions
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Unsupervised affinity learning based on manifold analysis for image retrieval: A survey
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G– PLIP : Knowledge graph neural network for structure-free protein–ligand bioactivity prediction
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Influence of context on users’ views about explanations for decision-tree predictions
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Graph Convolutional Networks based on manifold learning for semi-supervised image classification
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Deriving a minimum set of indicators to assess network component importance
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Association model data learned from clinicians stratified by patient mortality outcomes at a Tertiary Academic Center
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Packaged foods with pulse ingredients in Europe: A dataset of text-mined product formulations
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BEFANA: A tool for biodiversity-ecosystem functioning assessment by network analysis
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Are Search Engines Biased? Detecting and Reducing Bias using Meta Search Engines
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A multistage retrieval system for health-related misinformation detection
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Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research
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Footprint of uncertainty in the context of Bow-tie risk tool using fuzzy logic
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A comparative study of methods for measuring node influence in complex networks
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Topic models for decision-support systems, Part II: Expert-in-the-loop hierarchical topic models
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Beyond trial-and-error: Predicting user abandonment after a moderation intervention
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A hierarchical approach for influential node ranking in complex social networks
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Integration and comparison of multi-criteria decision making methods in safe route planner
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Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123750openalex-snapshot
Modeling the opinion dynamics of superstars in the film industry
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Dynamic decision making for situational awareness using drones: Requirements, identification and comparison of decision support methods
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Enhancing topic coherence and diversity in document embeddings using LLMs: A focus on BERTopic
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LGIEM: Global and local node influence based community detection
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WLAN-log-based superspreader detection in the COVID-19 pandemic
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Anticipation, earliness, alarm cardinality: A new metric for industrial time-series anomaly detection
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National resilience assessment and improvement based on multi-source data: Evidence from countries along the belt and road
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Reliability evaluation of power cables considering the restoration characteristic
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Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets
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A temporal graph framework for intelligence extraction in social media networks
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Person Re-ID through unsupervised hypergraph rank selection and fusion
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Assessing the noise robustness of Class Activation Maps: A framework for reliable model interpretability
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Ask and Ye shall be Answered: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering
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Technical debt payment and prevention through the lenses of software architects
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Towards assessing the quality of knowledge graphs via differential testing
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A scalable re-ranking method for content-based image retrieval
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Quantifying consensus of rankings based on q-support patterns
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Extracting modular-based backbones in weighted networks
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Branching processes reveal influential nodes in social networks
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From single-task to multi-task: Unveiling the dynamics of knowledge transfers in disinformation detection
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Robust evidence on the similarity of Sharpe ratio and drawdown-based hedge fund performance rankings
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An in-depth investigation on the behavior of measures to quantify reproducibility
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Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation
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Topic modeling algorithms and applications: A survey
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Query-driven explainable join discovery of analytic cubes based on profiling
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Speed meets accuracy: Advanced deep learning for efficient Orientia tsutsugamushi bacteria assessment in RNAi screening
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Social networks and similarity of site assemblages
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Autoimmune associated HLAs and T cell autoantigens exhibit common patterns across several autoimmune diseases
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An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes
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Clustering-based fusion for medical information retrieval
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Spatial perspectives on sustainability priorities: Key stakeholders' insights
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From ecological foundations to nature-based solutions: A semantic-temporal scientometric analysis of urban expansion and green space research
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A Functional Genomic Meta-Analysis of Clinical Trials in Systemic Sclerosis: Toward Precision Medicine and Combination Therapy
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On the exact region determined by Spearman’s ρ and Blest’s measure of rank correlation ν for bivariate extreme-value copulas
inferred← citeshttps://doi.org/10.1016/j.jocs.2022.101885openalex-snapshot
NIE-GAT: node importance evaluation method for inter-domain routing network based on graph attention network
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Identifying patient-specific root causes with the heteroscedastic noise model
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Nonparametric significance test of the weighted similarity coefficient
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Developing a topic-driven method for interdisciplinarity analysis
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