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1
Exploring individual variation in Turkish heritage speakers’ complex linguistic productions: Evidence from discourse markers ...
Blum, Frederic. - : Open Science Framework, 2022
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2
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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3
Native word order processing is not uniform: An ERP-study of verb-second word order ...
Newman, Aaron. - : Open Science Framework, 2021
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4
A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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5
The Orange workflow for observing collocation trends ColTrend 1.0
Kosem, Iztok; Krek, Simon; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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6
Which data do elementary school teachers use to determine reading difficulties in their students?
In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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7
Which data do elementary school teachers use to determine reading difficulties in their students? ...
Schmitterer, Alexandra; Brod, Garvin. - : Hammill Inst. on Disabilites, 2021. : Sage Publ., 2021
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8
Topic-Oriented Text Features Can Match Visual Deep Models of Video Memorability
In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
Abstract: Not every visual media production is equally retained in memory. Recent studies have shown that the elements of an image, as well as their mutual semantic dependencies, provide a strong clue as to whether a video clip will be recalled on a second viewing or not. We believe that short textual descriptions encapsulate most of these relationships among the elements of a video, and thus they represent a rich yet concise source of information to tackle the problem of media memorability prediction. In this paper, we deepen the study of short captions as a means to convey in natural language the visual semantics of a video. We propose to use vector embeddings from a pretrained SBERT topic detection model with no adaptation as input features to a linear regression model, showing that, from such a representation, simpler algorithms can outperform deep visual models. Our results suggest that text descriptions expressed in natural language might be effective in embodying the visual semantics required to model video memorability.
Keyword: BERT; DenseNet-121; linear regression; PCA; sentence-BERT; topic detection; transformer; video memorability
URL: https://doi.org/10.3390/app11167406
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9
Understanding Neural Signals related to Speech Processing in Humans During Sleep
In: Electronic Thesis and Dissertation Repository (2021)
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10
Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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11
Evaluating Program Diversity and the Probability of Gifted Identification Using the Torrance Test of Creative Thinking
Lee, Lindsay Eryn. - : University of North Texas, 2021
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12
Predicción del bienestar sobre el uso de pantallas inteligentes de los niños
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 66, 2021, pags. 119-128 (2021)
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13
F0 and duration changes in unstressed vs. stressed syllables connected to postlexical stress and sentence type in Standard Lithuanian
In: Nordlyd: Tromsø University Working Papers on Language & Linguistics, Vol 45, Iss 1 (2021) (2021)
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14
Behavioral and Neurophysiological Representations of Speech Phonemic Units ; Représentations comportementale et neurophysiologique des unités phonémiques de la parole
Carvalho Santana, Adrielle de. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03247462 ; Cognitive Sciences. Université Grenoble Alpes [2020-.]; Universidade federal de Minas Gerais, 2020. English. ⟨NNT : 2020GRALS036⟩ (2020)
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15
Empirical logit analysis is not logistic regression
In: Journal of Memory and Language (2020)
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16
Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
Sohoglu, Ediz; Davis, Matt. - : Apollo - University of Cambridge Repository, 2020
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17
Speech Emotion Recognition: Recurrent Neural Networks compared to SVM and Linear Regression
In: Artificial Neural Networks and Machine Learning – ICANN 2017 ; https://hal.archives-ouvertes.fr/hal-02432632 ; Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure; Alessandro E.P. Villa. Artificial Neural Networks and Machine Learning – ICANN 2017, 10613, Springer International Publishing, pp.451-453, 2019, Lecture Notes in Computer Science ; https://link.springer.com/book/10.1007%2F978-3-319-68600-4?page=2#toc (2019)
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18
Discriminative ridge regression algorithm for adaptation in statistical machine translation
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19
Predicting Text Readability with Personal Pronouns
In: IFIP Advances in Information and Communication Technology ; 2nd International Conference on Intelligence Science (ICIS) ; https://hal.inria.fr/hal-02118839 ; 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.255-264, ⟨10.1007/978-3-030-01313-4_27⟩ (2018)
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20
A Diachronic Corpus for Literary Style Analysis ; Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
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