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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...7 Hits 1 – 20 of 137 1 The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning Giovanni Costantini; Emilia Parada-Cabaleiro; Daniele Casali; Valerio Cesarini In: Sensors; Volume 22; Issue 7; Pages: 2461 (2022) BASE Show details 2 Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework Sen, Nirmalya; Sahidullah, Md; Patil, Hemant... In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021) BASE Show details 3 Child Predator Detection in Online Chat Conversation using Support Vector Machine ... Sanjivani Chavan; Rutuja Konde; Ishita Rajoria. - : Zenodo, 2021 BASE Show details 4 Child Predator Detection in Online Chat Conversation using Support Vector Machine ... Sanjivani Chavan; Rutuja Konde; Ishita Rajoria. - : Zenodo, 2021 BASE Show details 5 Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau Rawat, Naveen In: Master's Projects (2021) BASE Show details 6 Classifying COVID-19 News on Sina Weibo Sen, Arunachal. - 2021 Abstract: Thesis (Master's)--University of Washington, 2021 ; This thesis addresses the classification of Sina Weibo news related to the COVID-19 pandemic by using sentiment analysis. The design is a comparison study, involving four different systems. The systems were chosen after extensive reading on different approaches to sentiment analysis in Mandarin Chinese. These systems are neural network, k-medoids, HMM, and SVM. The core work of this thesis was in fine-tuning these systems to work with a small dataset of less than 3,000 examples. The final results from numerous experiments showed that the SVM and HMM systems achieved the highest results, followed by the neural network and k-medoids systems. Findings of this study showed that keyword frequency within a news category is not necessarily sufficient to ensure correct classification. Also, posts with names and satire remain challenging to classify and could be investigated further. Keyword: Computer science; HMM; k-medoids; Linguistics; neural network; sentiment analysis; SVM URL: http://hdl.handle.net/1773/48054 BASE Hide details 7 Author Identification in Free Texts Wang, Yahui (Kay). - : Auckland University of Technology, 2020 BASE Show details 8 NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals Debadatta Dash; Paul Ferrari; Satwik Dutta... In: Sensors ; Volume 20 ; Issue 8 (2020) BASE Show details 9 Automated topographic prominence based quantitative assessment of speech timing in Cerebellar Ataxia Kashyap, Bipasha; Horne, Malcolm; Pathirana, Pubudu N.. - : Elsevier, 2020 BASE Show details 10 Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska Ahlenius, Camilla. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 BASE Show details 11 Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet Han; Chien; Chiu... In: Applied Sciences ; Volume 10 ; Issue 3 (2020) BASE Show details 12 SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ... Wang, Ziqian; Fekonja, Lucius Samo; Dreyer, Felix. - : Zenodo, 2020 BASE Show details 13 SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ... Wang, Ziqian; Fekonja, Lucius Samo; Dreyer, Felix. - : Zenodo, 2020 BASE Show details 14 Speech Emotion Recognition: Recurrent Neural Networks compared to SVM and Linear Regression Kerkeni, Leila; Serrestou, Youssef; Mbarki, Mohamed... 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) BASE Show details 15 Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion Md Abdur Rahim; Md Rashedul Islam; Jungpil Shin In: Applied Sciences ; Volume 9 ; Issue 18 (2019) BASE Show details 16 Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles ... Smridhi Chawla; , Priya; Anchal Garg. - : Zenodo, 2019 BASE Show details 17 Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles ... Smridhi Chawla; , Priya; Anchal Garg. - : Zenodo, 2019 BASE Show details 18 Automatic Recognition of Narrative Drama Units: A Structured Learning Approach Danilo Croce, Roberto Basili, Vincenzo Lombardo, Eleonora Ceccaldi. - : CEUR-WS.org, 2019. : country:DEU, 2019. : place:Colonia, 2019 BASE Show details 19 Towards accurate detection of offensive language in online communication in Arabic Nikolov, Nikola S.; Murray, Liam; Alakrot, Azalden. - : Elsevier, 2018 BASE Show details 20 Estimation of cross-lingual news similarities using text-mining methods Wang, Zhouhao; Liu, Enda; Ito, Tomoki. - : Basel: MDPI, 2018 BASE Show details Page: 1 2 3 4 5...7

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