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1
Robust phoneme recognition for a speech therapy environment
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2
An Enhanced Corpus for Arabic Newspapers Comments
In: ISSN: 1683-3198 ; International Arab Journal of Information Technology ; https://hal.archives-ouvertes.fr/hal-03124728 ; International Arab Journal of Information Technology, Colleges of Computing and Information Society (CCIS), 2020, 17 (5), pp.789-798. ⟨10.34028/iajit/17/5/12⟩ (2020)
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3
Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet
Han; Chien; Chiu...
In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
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4
Furosine and HMF determination in prebiotic-supplemented infant formula from Spanish market
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5
Persian Named Entity Recognition
Dashtipour, K.; Gogate, M.; Adeel, A.. - : Institute of Electrical and Electronics Engineers, 2017
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6
Análisis de sentimientos a nivel de aspecto usando ontologías y aprendizaje automático ; Aspect-based sentiment analysis using ontologies and machine learning
Henriquez Miranda, Carlos; Pla Santamaría, Ferrán; Hurtado Oliver, Lluís Felip. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2017
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Persian Named Entity Recognition
Dashtipour, Kia; Gogate, Mandar; Adeel, Ahsan. - : Institute of Electrical and Electronics Engineers Inc, 2017. : Piscataway, NJ, USA, 2017
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8
Modality prediction of biomedical literature images using multimodal feature representation ... : Klassifikation von Bildern der biomedizinischen Literatur unter Anwendung multimodaler Merkmale ...
Pelka, Obioma; Friedrich, Christoph M.. - : German Medical Science GMS Publishing House, 2016
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9
Language identification of multilingual posts from Twitter: a case study
Hurtado Oliver, Lluis Felip; Pla Santamaría, Ferran. - : Springer Verlag (Germany), 2016
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10
Continuous Speech Classification Systems for Voice Pathologies Identification
In: IFIP Advances in Information and Communication Technology ; 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS) ; https://hal.inria.fr/hal-01343485 ; 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. pp.217-224, ⟨10.1007/978-3-319-16766-4_23⟩ (2015)
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11
Sentiment analysis: text, pre-processing, reader views and cross domains
Haddi, Emma. - : Brunel University London, 2015
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12
A predictive model to detect online cyberbullying
Kasture, Abhijeet Sudhir. - : Auckland University of Technology, 2015
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13
Analysis of Features for Synthetic Aperture Radar Target Classification
In: DTIC (2015)
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14
Virtual sign : a real time bidirectional translator of portuguese sign language
Escudeiro, Paula; Escudeiro, Nuno; Reis, Rosa. - : ScienceDirect, 2015
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15
Οπτική ανίχνευση φωνητικής δραστηριότητας ...
Πατρώνα, Φωτεινή Παύλου. - : Aristotle University of Thessaloniki, 2014
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16
Modelling Psychological Needs for User-dependent Contextual Suggestion
In: DTIC (2014)
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17
Conversion of sign language to Spoken sentences by means of a sensory glove
Cavallo, P; Saggio, G. - : Academy Publisher, 2014
Abstract: Normal communication of deaf people in ordinary life still remains an unrealized task, despite the fact that Sign Language Recognition (SLR) made a big improvement in recent years. We want here to address this problem proposing a portable and low cost system, which demonstrated to be effective for translating gestures into written or spoken sentences. This system relies on a home-made sensory glove, used to measure the hand gestures, and on Wavelet Analysis (WA) and a Support Vector Machine (SVM) to classify the hand’s movements. In particular we devoted our efforts to translating the Italian Sign Language (LIS, Linguaggio Italiano dei Segni), applying WA for feature extractions and SVM for the classification of one hundred different dynamic gestures. The proposed system is light, not intrusive or obtrusive, to be easily utilized by deaf people in everyday life, and it has demonstrated valid results in terms of signs/words conversion.
Keyword: Data glove; Human Computer Interaction; Italian Sign Language; LIS; Machine intelligence; Pattern analysis; Settore ING-INF/01 - Elettronica; Sign Language Recognition; Support Vector Machines
URL: https://doi.org/10.4304/jsw.9.8.2002-2009
http://hdl.handle.net/2108/92467
http://ojs.academypublisher.com/index.php/jsw/article/view/jsw090820022009
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18
Machine Learning Techniques for Gesture Recognition
Caceres, Carlos Antonio. - : Virginia Tech, 2014
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19
The importance of word-final vowel duration for non-native portuguese speaker identification by means of Support Vector Machines
In: Revista Brasileira de Linguística Aplicada, Vol 14, Iss 3, Pp 689-714 (2014) (2014)
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20
ReaderBench, o platformă integrată pentru analiza complexității textuale și a strategiilor de lectură
In: Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013) ; https://hal.archives-ouvertes.fr/hal-01412573 ; Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013), T. Stefanut; C. Rusu, 2013, Cluj, Romania. pp.39-46 (2013)
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