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Titlebook: Artificial Intelligence and Cognitive Science; 20th Irish Conferenc Lorcan Coyle,Jill Freyne Conference proceedings 2010 Springer Berlin He

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41#
發(fā)表于 2025-3-28 18:05:49 | 只看該作者
A Machine Learning System for Identifying Hypertrophy in Histopathology Imagese image databases. There is a growing need for image analysis tools that can efficiently and objectively analyse this wealth of digital image data. This paper presents preliminary results on the development of a suite of such tools for the measurement of toxic effects in the liver. We present an aut
42#
發(fā)表于 2025-3-28 20:33:50 | 只看該作者
43#
發(fā)表于 2025-3-29 02:02:41 | 只看該作者
Assessing Context for Age-Related Spanish Temporal Phrasesd by an adverb of time. We found that some of those phrases are age-related expressions. We analyzed a sample obtained from the Internet to determine the local context where the age-related meaning is unmistakable. We present the results for 21 selected classes.
44#
發(fā)表于 2025-3-29 06:41:56 | 只看該作者
Using Shallow Natural Language Processing in a Just-In-Time Information Retrieval Assistant for Blogent context, such as the blogpost she is writing. This paper compares five heuristics by which queries can be extracted from a user’s blogpost or other document. Four of the heuristics use shallow Natural Language Processing techniques, such as tagging and chunking. An experimental evaluation reveal
45#
發(fā)表于 2025-3-29 11:04:17 | 只看該作者
46#
發(fā)表于 2025-3-29 13:09:14 | 只看該作者
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Datassume all classes are characterized by the data, whereas in many applications, training data for some classes may be entirely absent, rare, or statistically unrepresentative. We evaluate one-sided classifiers as an alternative, since they assume that only one class (the target) is well characterized
47#
發(fā)表于 2025-3-29 18:45:59 | 只看該作者
48#
發(fā)表于 2025-3-29 23:11:38 | 只看該作者
SceneMaker: Intelligent Multimodal Visualisation of Natural Language Scriptsms to facilitate this creative process by automatically interpreting natural language film/play scripts and generating multimodal, animated scenes from them. During generation of story content, SceneMaker will give particular attention to emotional aspects and their reflection in fluency and manner
49#
發(fā)表于 2025-3-30 02:35:22 | 只看該作者
50#
發(fā)表于 2025-3-30 05:25:00 | 只看該作者
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