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检索条件"机构=Insight Centre for Data Analytics and Department of Computer Science"
589 条 记 录,以下是1-10 订阅
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Domain Reductions After Preprocessing: Effects on Dynamic Variable Ordering Heuristics in Constraint Satisfaction Search  23rd
Domain Reductions After Preprocessing: Effects on Dynamic V...
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23rd EPIA Conference on Artificial Intelligence, EPIA 2024
作者: Wallace, Richard J. Insight Centre for Data Analytics and Department of Computer Science University College Cork Cork Ireland
We still do not have an adequate understanding of heuristic methods used for solving constraint satisfaction problems (CSPs). An example involves the effects of preprocessing, an essential means of improving CSP ... 详细信息
来源: 评论
Information Flows during Constraint Satisfaction Search with Dynamic Heuristics: Information from Preprocessing  1
Information Flows during Constraint Satisfaction Search with...
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1st International Workshop on Artificial Intelligence for Climate Change, 12th Italian Workshop on Planning and Scheduling, 31st RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, and SPIRIT Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy, AI4CC-IPS-RCRA-SPIRIT 2024
作者: Wallace, Richard J. Insight Centre for Data Analytics School of Computer Science and IT University College Cork Ireland
We still do not have an adequate understanding of heuristic methods used for solving constraint satisfaction problems (CSPs). An example of this involves the effects of preprocessing, an essential means of improving C... 详细信息
来源: 评论
Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction  27
Synthetically Augmented Self-Supervised Fine-Tuning for Dive...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Guan, Shuhao Greene, Derek Insight Centre for Data Analytics Dublin School of Computer Science University College Dublin Ireland
The adoption of Optical Character Recognition (OCR) tools has been central to the increased digitization of historical documents. However, the errors introduced during OCR, particularly in texts with a specialized voc... 详细信息
来源: 评论
Explaining the Effects of Preprocessing on Constraint Satisfaction Search  30th
Explaining the Effects of Preprocessing on Constraint Sat...
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30th Irish Conference on Artificial Intelligence and Cognitive science, AICS 2022
作者: Wallace, Richard J. Insight Centre for Data Analytics and Department of Computer Science University College Cork Cork Ireland
Preprocessing constraint satisfaction problems is a much studied method for improving the performance of subsequent solution search. The traditional explanation for its beneficial effects is "problem reduction&qu... 详细信息
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On the Effect of Cross-Channel Normalization on Wide-Shallow Convolutional Networks  26
On the Effect of Cross-Channel Normalization on Wide-Shallow...
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26th Irish Machine Vision and Image Processing Conference, IMVIP 2024
作者: Alakkari, Salaheddin Mileo, Alessandra Department of Computer Science and Information Systems University of Limerick Ireland Insight Centre for Data Analytics Dublin City University Ireland
Cross-channel Normalization (CN) was first proposed in AlexNet paper as a biologically inspired normalization process mimicking the lateral inhibition phenomenon in biological neurons. However, the effect of such a no... 详细信息
来源: 评论
Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI  32
Testing Most Distant Neighbor (MDN) Variants for Semi-Factua...
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Workshops at the 32nd International Conference on Case-Based Reasoning, ICCBR-WS 2024
作者: Aryal, Saugat Keane, Mark T. School of Computer Science University College Dublin Dublin Ireland Insight Centre for Data Analytics Dublin Ireland
Recently, Semi-factual explanations have gained popularity in the eXplainable AI (XAI) community. They provide "even if" justifications to indicate what key input features could change without changing the o... 详细信息
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ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter
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SN computer science 2023年 第6期4卷 821页
作者: Pakrashi, Arjun Mac Namee, Brian School of Computer Science University College Dublin Dublin Ireland Insight Centre for Data Analytics Dublin Ireland
Despite the success of ensemble classification methods in multi-class classification problems, ensemble methods based on approaches other than bagging have not been widely explored for multi-label classification probl... 详细信息
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An artificial intelligence framework for explainable drift detection in energy forecasting
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Energy and AI 2024年 第3期17卷 368-379页
作者: Chamod Samarajeewa Daswin De Silva Milos Manic Nishan Mills Harsha Moraliyage Damminda Alahakoon Andrew Jennings Centre for Data Analytics and Cognition La Trobe UniversityAustralia Department of Computer Science Virginia Commonwealth UniversityRichmondUSA
Accurate energy consumption forecasting is crucial for reducing operational costs, achieving net-zero carbon emissions, and ensuring sustainable buildings and cities of the future. Despite the frequent use of Artifici... 详细信息
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Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification  22
Towards Graph-Based Semi-Supervised Learning on Audio Embedd...
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22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
作者: Chandaliya, Rishabh Timilsina, Mohan Breslin, John Serrano, Martin University of Galway Ireland Insight Sfi Research Centre for Data Analytics Department of Computer Science Galway Ireland
The increasing importance of audio-based healthcare diagnostics, particularly in chronic respiratory problems, has prompted the development of novel approaches for disease classification using the full spectrum analys... 详细信息
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CouRGe: Counterfactual Reviews Generator for Sentiment Analysis  30th
CouRGe: Counterfactual Reviews Generator for Sentiment Anal...
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30th Irish Conference on Artificial Intelligence and Cognitive science, AICS 2022
作者: Carraro, Diego Brown, Kenneth N. Insight Centre for Data Analytics School of Computer Science and IT University College Cork Cork Ireland
Past literature in Natural Language Processing (NLP) has demonstrated that counterfactual data points are useful, for example, for increasing model generalisation, enhancing model interpretability, and as a data augme... 详细信息
来源: 评论