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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...373 Hits 81 – 100 of 7.453 81 Assessing agrammatic aphasia (Dyson et al., 2022) ... Dyson, Bronwen; Håkansson, Gisela; Ballard, Kirrie J.. - : ASHA journals, 2022 BASE Show details 82 Assessing agrammatic aphasia (Dyson et al., 2022) ... Dyson, Bronwen; Håkansson, Gisela; Ballard, Kirrie J.. - : ASHA journals, 2022 BASE Show details 83 nkresearch ... hyun, eileen. - : figshare, 2022 BASE Show details 84 nkresearch ... hyun, eileen. - : figshare, 2022 BASE Show details 85 nkresearch ... hyun, eileen. - : figshare, 2022 BASE Show details 86 nkresearch ... hyun, eileen. - : figshare, 2022 BASE Show details 87 nkresearch ... hyun, eileen. - : figshare, 2022 BASE Show details 88 StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence Ni, Pin; Li, Gangmin; Hung, Patrick C.K.. - : Elsevier Ltd, 2022 BASE Show details 89 Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani Agüero Torales, Marvin Matías. - : Universidad de Granada, 2022 BASE Show details 90 Brazilian Portuguese verbal databases ; Bases lexicais verbais do português brasileiro Rodrigues, Roana; Lemos-Couto, Marcella; Leme Coelho, Francimeire... In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022) BASE Show details 91 Representation learning of natural language and its application to language understanding and generation Gong, Hongyu. - 2022 BASE Show details 92 Detecting weak and strong Islamophobic hate speech on social media Vidgen, Bertie; Yasseri, Taha. - : Taylor & Francis, 2022 BASE Show details 93 An Empirical Study of Factors Affecting Language-Independent Models Liu, Xiaotong; Xu, Anbang; Akkiraju, Rama. - 2022 BASE Show details 94 Using Geolocated Text to Quantify Location in Real Estate Appraisal Heuwinkel, Tim; Kucklick, Jan-Peter; Müller, Oliver. - 2022 BASE Show details 95 TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing Timmer, Roelien; Liebowitz, David; Nepal, Surya. - 2022 BASE Show details 96 Modeling Phishing Decision using Instance Based Learning and Natural Language Processing Xu, Tianhao; Singh, Kuldeep; Rajivan, Prashanth. - 2022 BASE Show details 97 What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development Do, Thi Thu Hang; Dobler, Markus; Kühl, Niklas. - 2022 Abstract: Managing large numbers of incoming bug reports and finding the most critical issues in hardware development is time consuming, but crucial in order to reduce development costs. In this paper, we present an approach to predict the time to fix, the risk and the complexity of debugging and resolution of a bug report using different supervised machine learning algorithms namely Random Forest, Naive Bayes, SVM, MLP and XGBoost. Further, we investigate the effect of the application of active learning and we evaluate the impact of different text representation techniques, namely TF-IDF, Word2Vec, Universal Sentence Encoder and XLNet on the model's performance. The evaluation shows that a combination of text embeddings generated through the Universal Sentence Encoder and MLP as classifier outperforms all other methods, and is well suited to predict the risk and complexity of bug tickets. Keyword: artificial intelligence; bug triaging; hardware development; machine learning; natural language processing; Text Analytics URL: http://hdl.handle.net/10125/79429 https://doi.org/10.24251/HICSS.2022.099 BASE Hide details 98 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache Weigelt, Sebastian. - : KIT Scientific Publishing, Karlsruhe, 2022 BASE Show details 99 Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese. Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022 BASE Show details 100 Multitask Pointer Network for Multi-Representational Parsing Fernández-González, Daniel; Gómez-Rodríguez, Carlos. - : Elsevier, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8 9...373

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