標題: Titlebook: Case-Based Reasoning Research and Development; 30th International C Mark T. Keane,Nirmalie Wiratunga Conference proceedings 2022 The Editor [打印本頁] 作者: 婉言 時間: 2025-3-21 17:47
書目名稱Case-Based Reasoning Research and Development影響因子(影響力)
書目名稱Case-Based Reasoning Research and Development影響因子(影響力)學科排名
書目名稱Case-Based Reasoning Research and Development網絡公開度
書目名稱Case-Based Reasoning Research and Development網絡公開度學科排名
書目名稱Case-Based Reasoning Research and Development被引頻次
書目名稱Case-Based Reasoning Research and Development被引頻次學科排名
書目名稱Case-Based Reasoning Research and Development年度引用
書目名稱Case-Based Reasoning Research and Development年度引用學科排名
書目名稱Case-Based Reasoning Research and Development讀者反饋
書目名稱Case-Based Reasoning Research and Development讀者反饋學科排名
作者: nurture 時間: 2025-3-21 23:27
978-3-031-14922-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 萬靈丹 時間: 2025-3-22 03:40 作者: Gourmet 時間: 2025-3-22 07:40
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/222324.jpg作者: 一再煩擾 時間: 2025-3-22 11:41
A Note on the Wave Climatology of UK Waters Machine Learning or black-box models. Existing XAI libraries offer a good number of explanation methods, that are reusable for different domains and models, with different choices of parameters. However, it is not clear what would be a good explainer for a given situation, domain, AI model, and use作者: OMIT 時間: 2025-3-22 14:37
Alison Schwartz-Kripner,Cornelia P. ChanningHence, the popular methods generate synthetic counterfactuals using “blind” perturbation, by manipulating feature values to elicit a class change. However, this strategy has other problems, notably a tendency to generate invalid data points that are . or that involve feature-values that do not natur作者: OMIT 時間: 2025-3-22 20:00 作者: 郊外 時間: 2025-3-22 22:05
W. Mestwerdt,O. Müller,H. Brandauper we show how this can be addressed in a case-based reasoning (CBR) context by a metric learning strategy that explicitly considers bias/fairness. Since one of the advantages CBR has over alternative machine learning approaches is interpretability, it is interesting to see how much this metric lea作者: 放氣 時間: 2025-3-23 02:04 作者: Sad570 時間: 2025-3-23 05:32
Critical Fluctuations Under Shear Flow,erize domains. The effectiveness of machine learning with deep neural networks has prompted much interest in neural network approaches to feature learning in case-based reasoning, with several works showing the value of feature extraction from input data using convolutional neural networks. Those ap作者: Jargon 時間: 2025-3-23 13:43 作者: Anthropoid 時間: 2025-3-23 15:55
Opioid Analgesics and Opioid Antagonists,Reasoning (CBR) systems are one way to build such systems. Understanding how results are created by a CBR system has become an important task in their development process. In this work, we present how visualizations can help developers and domain experts to evaluate the CBR systems behavior and prov作者: AWRY 時間: 2025-3-23 20:24
Ocean Dumping of Industrial Wastes of various sizes. This paper presents advances to the similarity module of . through the inclusion of enhanced similarity metrics such as word embedding and ontology-based similarity measures. Being cloud-based, costs can significantly increase if the use of resources such as storage and data trans作者: 史前 時間: 2025-3-24 02:09
Peter W. Anderson,Richard T. Dewlingeneral questions remain. First, existing architectures focus on adaptation of numeric attributes alone. Second, some proposed neural network adaptation architectures operate directly on pairs of cases, so could be performing direct prediction instead of adaptation. Third, it is unclear how the effec作者: Buttress 時間: 2025-3-24 06:03 作者: 喊叫 時間: 2025-3-24 09:48 作者: 柏樹 時間: 2025-3-24 11:21 作者: 猜忌 時間: 2025-3-24 18:49
Francis I. Onuska,Francis W. Karasekimation of user stories. The analysis uses real-world user stories of a software development project of the Capgemini Group. The focus of the analysis is the development of an effort estimation tool that could generate accurate effort estimates serving the purposes of project planning and control. I作者: N斯巴達人 時間: 2025-3-24 21:48 作者: 影響深遠 時間: 2025-3-25 00:54
0302-9743 rance, during September 12-15, 2022..The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submi作者: 名字 時間: 2025-3-25 03:31 作者: 纖細 時間: 2025-3-25 08:18 作者: Invertebrate 時間: 2025-3-25 15:37
Algorithmic Bias and?Fairness in?Case-Based Reasoningrning distorts the case-retrieval process. We find that bias is addressed with a minimum impact on case-based predictions - little more than the predictions that need to be changed are changed. However, the effect on explanation is more significant as the case-retrieval . is impacted.作者: STELL 時間: 2025-3-25 16:05 作者: 口訣 時間: 2025-3-25 23:15
Conference proceedings 2022ey deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI)..作者: CLAP 時間: 2025-3-26 03:23 作者: Unsaturated-Fat 時間: 2025-3-26 05:49
Conference proceedings 2022ing September 12-15, 2022..The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. Th作者: Innovative 時間: 2025-3-26 11:48
A Note on the Wave Climatology of UK Waters process to help retrieve a suitable explainer from a catalogue made of existing XAI libraries. Our hypothesis is that CBR helps the task of learning from the explanation experiences and will help to retrieve explainers for other similar scenarios.作者: watertight, 時間: 2025-3-26 16:25 作者: calumniate 時間: 2025-3-26 18:40 作者: Ingenuity 時間: 2025-3-27 00:30
Theoretical and?Experimental Study of?a?Complexity Measure for?Analogical Transfer At an experimental level, it studies the correlation of the complexity measure with the accuracy of the conducted label inference, as well as with the classification task difficulty, as captured by the class overlapping degree.作者: 一再煩擾 時間: 2025-3-27 03:05
W. Mestwerdt,O. Müller,H. Brandaurning distorts the case-retrieval process. We find that bias is addressed with a minimum impact on case-based predictions - little more than the predictions that need to be changed are changed. However, the effect on explanation is more significant as the case-retrieval . is impacted.作者: 鋼盔 時間: 2025-3-27 06:18 作者: 鞭打 時間: 2025-3-27 11:57 作者: Anticoagulants 時間: 2025-3-27 14:42
Francis I. Onuska,Francis W. KarasekThe highly accurate effort estimates resulting from a couple of experiments on real data show that estimation by analogy presents with the aid of an automated environment an eminently practical technique. As a consequence, this approach impacts estimation accuracy and thus success of industrial software development projects.作者: DEVIL 時間: 2025-3-27 20:35
A Deep Learning Approach to?Solving Morphological Analogiesemonstrate that ANNr outperforms the state of the art on 11 languages. We analyze ANNr results for Navajo and Georgian, languages on which the model performs worst and best, to explore potential correlations between the mistakes of ANNr and linguistic properties.作者: recede 時間: 2025-3-28 01:33 作者: 杠桿支點 時間: 2025-3-28 03:14
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanatito multi-class settings, or are limited in their ability to generate alternative counterfactuals. This paper extends recent case-based approaches by presenting a novel, general-purpose, case-based solution for counterfactual generation to address these shortcomings. We report a series of experiments作者: carotenoids 時間: 2025-3-28 06:34 作者: murmur 時間: 2025-3-28 11:18
“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfaunterfactuals relative to baseline methods on coverage and distances metrics. This is the first counterfactual method specifically designed to meet identified psychological requirements of end-users, rather than merely reflecting the intuitions of algorithm designers.作者: 不能妥協 時間: 2025-3-28 16:49
Extracting Case Indices from?Convolutional Neural Networks: A Comparative Studyextracting after the densely-connected layers using multiple networks. Our results show that the latter two approaches substantially increase case retrieval accuracy in example-sparse domains, to which case-based reasoning systems are commonly applied.作者: Limerick 時間: 2025-3-28 20:15 作者: 債務 時間: 2025-3-29 01:40 作者: 補助 時間: 2025-3-29 06:06
Case Adaptation with?Neural Networks: Capabilities and?Limitationspresents experiments for both classification and regression tasks that compare performance of a neural network to a baseline CBR system and CBR variants with different retrieval schemes and adaptation schemes, on both real data and controlled artificial data sets. In these tests, CBR with the extend作者: 表皮 時間: 2025-3-29 11:01 作者: Myosin 時間: 2025-3-29 12:19
Alison Schwartz-Kripner,Cornelia P. Channingto multi-class settings, or are limited in their ability to generate alternative counterfactuals. This paper extends recent case-based approaches by presenting a novel, general-purpose, case-based solution for counterfactual generation to address these shortcomings. We report a series of experiments作者: hair-bulb 時間: 2025-3-29 19:14 作者: 不滿分子 時間: 2025-3-29 23:11
Supergravity: A Post-Einstein Unification,unterfactuals relative to baseline methods on coverage and distances metrics. This is the first counterfactual method specifically designed to meet identified psychological requirements of end-users, rather than merely reflecting the intuitions of algorithm designers.作者: MANIA 時間: 2025-3-30 01:33
Critical Fluctuations Under Shear Flow,extracting after the densely-connected layers using multiple networks. Our results show that the latter two approaches substantially increase case retrieval accuracy in example-sparse domains, to which case-based reasoning systems are commonly applied.作者: Foolproof 時間: 2025-3-30 05:28
The Etiology of Opioid Dependence,s for users can be increased using dynamic critique, and that recipe representation plays an important role in the diversity of recommended recipes and has a direct impact on user choices and outcomes.作者: NUL 時間: 2025-3-30 10:29
Opioid Analgesics and Opioid Antagonists,arity measures to compare their effect on the retrieval. This work shows that providing suitable explanations for the CBR system’s stakeholders increases the likelihood of its adoption, and visualizations allow the creation of different explanations for the different users throughout the development作者: 執(zhí)拗 時間: 2025-3-30 14:17 作者: 無底 時間: 2025-3-30 16:50
Turbulence and 1/f Noise in Quantum Opticsframework is explainable to operators, they can easily locate the root causes and refer to historical solutions. We also conduct three different microservices architectures with fault experiments on Grid’5000 testbed, the results show that . achieves 91% top-1 accuracy, and outperforms three state-o作者: 諂媚于性 時間: 2025-3-31 00:18 作者: osteoclasts 時間: 2025-3-31 04:07
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual ExplanatiHence, the popular methods generate synthetic counterfactuals using “blind” perturbation, by manipulating feature values to elicit a class change. However, this strategy has other problems, notably a tendency to generate invalid data points that are . or that involve feature-values that do not natur
