Gotowa bibliografia na temat „Explicit content detection”
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Artykuły w czasopismach na temat "Explicit content detection"
Marcial Basilio, Jorge Alberto, Gualberto Aguilar Torres, Gabriel Sanchez Perez, Linda Karina Toscano Medina, Hector Manuel Perez Meana i Enrique Escamilla Hernadez. "Explicit Content Image Detection". Signal & Image Processing : An International Journal 1, nr 2 (29.12.2010): 47–58. http://dx.doi.org/10.5121/sipij.2010.1205.
Pełny tekst źródłaQamar Bhatti, Ali, Muhammad Umer, Syed Hasan Adil, Mansoor Ebrahim, Daniyal Nawaz i Faizan Ahmed. "Explicit Content Detection System: An Approach towards a Safe and Ethical Environment". Applied Computational Intelligence and Soft Computing 2018 (4.07.2018): 1–13. http://dx.doi.org/10.1155/2018/1463546.
Pełny tekst źródłaAppati, Justice Kwame, Kennedy Yaw Lodonu i Richmond Chris-Koka. "A Review of Image Analysis Techniques for Adult Content Detection". International Journal of Software Innovation 9, nr 2 (kwiecień 2021): 102–21. http://dx.doi.org/10.4018/ijsi.2021040106.
Pełny tekst źródłaChen, Xiaoyuan, Turki Aljrees, Muhammad Umer, Hanen Karamti, Saba Tahir, Nihal Abuzinadah, Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed i Imran Ashraf. "A novel approach for explicit song lyrics detection using machine and deep ensemble learning models". PeerJ Computer Science 9 (30.08.2023): e1469. http://dx.doi.org/10.7717/peerj-cs.1469.
Pełny tekst źródłaMuhammad Fadzli, Muhammad Arif Haikal, Mohd Fadzil Abu Hassan i Norazlin Ibrahim. "Explicit kissing scene detection in cartoon using convolutional long short-term memory". Bulletin of Electrical Engineering and Informatics 11, nr 1 (1.02.2022): 213–20. http://dx.doi.org/10.11591/eei.v11i1.3542.
Pełny tekst źródłaMarcial Basilio, Jorge A., Gualberto Aguilar Torres, Gabriel Sánchez Pérez, Karina Toscano Medina i Héctor M. Pérez Meana. "Novel method for pornographic image detection using HSV and YCbCr color models". Revista Facultad de Ingeniería Universidad de Antioquia, nr 64 (3.10.2012): 79–90. http://dx.doi.org/10.17533/udea.redin.13117.
Pełny tekst źródłaZhang, Linhao, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu i Shiyao Yan. "TOT:Topology-Aware Optimal Transport for Multimodal Hate Detection". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 4 (26.06.2023): 4884–92. http://dx.doi.org/10.1609/aaai.v37i4.25614.
Pełny tekst źródłaBekaryan, Lilit. "Lost in “Transl-Hation”: Exploring the Impact of Machine Translation as an Intermediary Tool in Detecting Armenian Hate Speech". Translation Studies: Theory and Practice 3, nr 2 (6) (25.12.2023): 40–47. http://dx.doi.org/10.46991/tstp/2023.3.2.040.
Pełny tekst źródłaFOUCAMBERT, DENIS, i JACQUES BAILLÉ. "Evolution of the missing-letter effect among young readers between ages 5 and 8". Applied Psycholinguistics 32, nr 1 (7.10.2010): 1–17. http://dx.doi.org/10.1017/s0142716410000263.
Pełny tekst źródłaCela-Conde, Camilo J., Gisèle Marty, Enric Munar, Marcos Nadal i Lucrecia Burges. "The “Style Scheme” Grounds Perception of Paintings". Perceptual and Motor Skills 95, nr 1 (sierpień 2002): 91–100. http://dx.doi.org/10.2466/pms.2002.95.1.91.
Pełny tekst źródłaRozprawy doktorskie na temat "Explicit content detection"
Vaglio, Andrea. "Leveraging lyrics from audio for MIR". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT027.
Pełny tekst źródłaLyrics provide a lot of information about music since they encapsulate a lot of the semantics of songs. Such information could help users navigate easily through a large collection of songs and to recommend new music to them. However, this information is often unavailable in its textual form. To get around this problem, singing voice recognition systems could be used to obtain transcripts directly from the audio. These approaches are generally adapted from the speech recognition ones. Speech transcription is a decades-old domain that has lately seen significant advancements due to developments in machine learning techniques. When applied to the singing voice, however, these algorithms provide poor results. For a number of reasons, the process of lyrics transcription remains difficult. In this thesis, we investigate several scientifically and industrially difficult ’Music Information Retrieval’ problems by utilizing lyrics information generated straight from audio. The emphasis is on making approaches as relevant in real-world settings as possible. This entails testing them on vast and diverse datasets and investigating their scalability. To do so, a huge publicly available annotated lyrics dataset is used, and several state-of-the-art lyrics recognition algorithms are successfully adapted. We notably present, for the first time, a system that detects explicit content directly from audio. The first research on the creation of a multilingual lyrics-toaudio system are as well described. The lyrics-toaudio alignment task is further studied in two experiments quantifying the perception of audio and lyrics synchronization. A novel phonotactic method for language identification is also presented. Finally, we provide the first cover song detection algorithm that makes explicit use of lyrics information extracted from audio
Części książek na temat "Explicit content detection"
Vajda, Peter, Ivan Ivanov, Lutz Goldmann, Jong-Seok Lee i Touradj Ebrahimi. "Robust Duplicate Detection of 2D and 3D Objects". W Methods and Innovations for Multimedia Database Content Management, 96–117. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1791-9.ch007.
Pełny tekst źródłaKhribi, Mohamed Koutheaïr, Mohamed Jemni i Olfa Nasraoui. "Automatic Personalization in E-Learning Based on Recommendation Systems". W Intelligent and Adaptive Learning Systems, 19–33. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-842-2.ch002.
Pełny tekst źródłaWadhwani, Arun Kumar, Sulochana Wadhwani i Tripty Singh. "Computer Aided Diagnosis System for Breast Cancer Detection". W Medical Imaging, 1002–19. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch040.
Pełny tekst źródłaWadhwani, Arun Kumar, Sulochana Wadhwani i Tripty Singh. "Computer Aided Diagnosis System for Breast Cancer Detection". W Advances in Medical Technologies and Clinical Practice, 378–95. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9530-6.ch015.
Pełny tekst źródłaPierzchajlo, Stephen, i Jonas K. Olofsson. "Human olfaction: A view from the top". W Sensory Individuals, 209–24. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780198866305.003.0013.
Pełny tekst źródłaG. Miathali, Poornima. "Efficient Machine Learning Classifier for Fault Detection in Wireless Sensor Networks". W Wireless Sensor Networks - Research Issues and Effective Smart Solutions [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.111462.
Pełny tekst źródłaMarks-Tarlow, Terry. "Intuition in a Nonlinear World". W Chaos and Nonlinear Psychology, 243–61. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190465025.003.0013.
Pełny tekst źródłaKruger-Robbins, Benjamin. "“Holy Fruit Salad, Batman!”". W Camp TV of the 1960s, 154—C7P100. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197650745.003.0008.
Pełny tekst źródłaVinayakumar, R., K. P. Soman i Prabaharan Poornachandran. "Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)". W Deep Learning and Neural Networks, 295–316. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch018.
Pełny tekst źródłaDickscheid, Timo, Sarah Haas, Sebastian Bludau, Philipp Glock, Marcel Huysegoms i Katrin Amunts. "Towards 3D Reconstruction of Neuronal Cell Distributions from Histological Human Brain Sections". W Future Trends of HPC in a Disruptive Scenario. IOS Press, 2019. http://dx.doi.org/10.3233/apc190016.
Pełny tekst źródłaStreszczenia konferencji na temat "Explicit content detection"
Vaglio, Andrea, Romain Hennequin, Manuel Moussallam, Gael Richard i Florence d'Alche-Buc. "Audio-Based Detection of Explicit Content in Music". W ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054278.
Pełny tekst źródłaChin, Hyojin, Jayong Kim, Yoonjong Kim, Jinseop Shin i Mun Y. Yi. "Explicit Content Detection in Music Lyrics Using Machine Learning". W 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2018. http://dx.doi.org/10.1109/bigcomp.2018.00085.
Pełny tekst źródłaDubettier, Adrien, Tanguy Gernot, Emmanuel Giguet i Christophe Rosenberger. "A Comparative Study of Tools for Explicit Content Detection in Images". W 2023 International Conference on Cyberworlds (CW). IEEE, 2023. http://dx.doi.org/10.1109/cw58918.2023.00077.
Pełny tekst źródłaWang, Supeng, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang i Wenbing Zhu. "Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/166.
Pełny tekst źródłaZheng, Li, Zhenpeng Li, Jian Li, Zhao Li i Jun Gao. "AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/614.
Pełny tekst źródłaYu, Zhiyuan, i Kwun-Lon Ting. "Explicit Dynamics Analysis for Harmonic Drives". W ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34759.
Pełny tekst źródłaAcharya, Manoj, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan i Ajay Divakaran. "Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network". W Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/89.
Pełny tekst źródłaYu, Zhe, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang i Jianwu Dang. "Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/269.
Pełny tekst źródłaLall, Pradeep, Prashant Gupta i Kai Goebel. "Failure Mode Clustering is Electronic Assemblies Using Sammon’s Mapping With Supervised Training of Perceptrons". W ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65833.
Pełny tekst źródłaDu, Jiachen, Ruifeng Xu, Yulan He i Lin Gui. "Stance Classification with Target-specific Neural Attention". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/557.
Pełny tekst źródłaRaporty organizacyjne na temat "Explicit content detection"
Rankin, Nicole, Deborah McGregor, Candice Donnelly, Bethany Van Dort, Richard De Abreu Lourenco, Anne Cust i Emily Stone. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, październik 2019. http://dx.doi.org/10.57022/clzt5093.
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