{"id":1542,"date":"2021-10-28T08:18:15","date_gmt":"2021-10-28T14:18:15","guid":{"rendered":"https:\/\/lke.buap.mx\/2021\/?page_id=1542"},"modified":"2021-11-16T23:08:49","modified_gmt":"2021-11-17T05:08:49","slug":"oral-presentations","status":"publish","type":"page","link":"https:\/\/lke.buap.mx\/2021\/index.php\/oral-presentations\/","title":{"rendered":"ORAL Presentations"},"content":{"rendered":"\n
Paper ID<\/strong><\/td>Authors, Contribution title<\/strong><\/td>Area<\/strong><\/td>Topics<\/strong><\/td><\/tr>
63<\/td>Raksha Agarwal and Niladri Chatterjee. Query-focused Multi-Document Text Summarization using Fuzzy Inference<\/a><\/td>Language engineering<\/td>Text summarization<\/td><\/tr>
55<\/td>Melesio Crespo-Sanchez, Iv\u00e1n Lopez-Arevalo, Edwin Aldana-Bobadilla and Alejandro Molina-Villegas. A Content Spectral-based Text Representation<\/a><\/td>Language engineering<\/td>Text representation<\/td><\/tr>
98<\/td>Bilal Tahir and Dr. Amir Mehmood. Anbar: Collection and Analysis of a Large Scale Urdu Language Twitter Corpus<\/a><\/td>Language engineering<\/td>Text processing, Urdu language<\/td><\/tr>
42<\/td>Juan-Luis Garc\u00eda-Mendoza, Luis Villase\u00f1or-Pineda, Felipe Orihuela-Espina and L\u00e1zaro Bustio-Mart\u00ednez. An Autoencoder-based Representation for Noise Reduction in Distant Supervision of Relation Extraction<\/a><\/td>Language engineering<\/td>Text processing, Relation extraction<\/td><\/tr>
80<\/td>Belem Priego-Sanchez and Rafael Guzman Cabrera. Polarity Identification of a text given the emotion of it is author<\/a><\/td>Language engineering<\/td>Text processing, Polarity identification<\/td><\/tr>
32<\/td>Manuel Alejandro Sanchez-Fernandez, Alfonso Medina-Urrea and Juan Manuel Torres-Moreno. Latent Semantic Analysis for tagging Activation States and Identifiability in Northwestern Mexican news outlets<\/a><\/td>Language engineering<\/td>Text processing, news<\/td><\/tr>
27<\/td>Fazlourrahman Balouchzahi, H L Shashirekha and Grigori Sidorov. Fake News Spreaders Profiling using N-grams of Various Types and SHAP-based Feature Selection<\/a><\/td>Language engineering<\/td>Text processing, news<\/td><\/tr>
61<\/td>Sergio Damian, Hiram Calvo and Alexander Gelbukh. Fake News Detection using n-grams for PAN@CLEF Competition<\/a><\/td>Language engineering<\/td>Text processing, news<\/td><\/tr>
44<\/td>Yevhen Kostiuk, Mykola Lukashchuk, Grigori Sidorov and Alexander Gelbukh. Prior Latent Distribution Comparison for theRNN Variational Autoencoder in Low-ResourceLanguage Modeling<\/a><\/td>Language engineering<\/td>Text processing<\/td><\/tr>
92<\/td>Mirta Fuentes-Ramos, Eddy S\u00e1nchez-DelaCruz, Iv\u00e1n-Vladimir Meza-Ruiz and Cecilia-Irene Loeza-Mej\u00eda. Neurodegenerative diseases categorization by applying the automatic model selection and hyperparameter optimization method<\/a><\/td>Language engineering<\/td>Text processing<\/td><\/tr>
57<\/td>Jianfei Zhang, Wenger Rong, Dali Chen and Zhang Xiong. Question Type and Answer Related Keywords Aware Question Generation<\/a><\/td>Language engineering<\/td>Text processing<\/td><\/tr>
26<\/td>Kushagri Tandon and Niladri Chatterjee. Multi-label Text Classification with an Ensemble Feature Space<\/a><\/td>Language engineering<\/td>Text classification<\/td><\/tr>
12<\/td>Dorian Ruiz Alonso, Claudia Zepeda Cortes, Hilda Castillo Zacatelco and Jos\u00e9 Luis Carballido Carranza. Multi-label classification of feedbacks<\/a><\/td>Language engineering<\/td>Text classification<\/td><\/tr>
39<\/td>Dorian Ruiz Alonso, Claudia Zepeda Cortes, Hilda Castillo Zacatelco and Jose Luis Carballido Carranza. Hyperparameter tuning for multi-label classification of feedbacks in online courses<\/a><\/td>Language engineering<\/td>Text classification<\/td><\/tr>
52<\/td>Aman Bahuguna, Deepak Yadav, Apurbalal Senapati and Baidya Nath Saha. A Unified Deep Neuro-Fuzzy Approach for COVID-19 Twitter Sentiment Classification<\/a><\/td>Language engineering<\/td>Sentiment classification,  Twitter<\/td><\/tr>
36<\/td>Jes\u00fas Miguel Garc\u00eda-Gorrostieta, Aurelio Lopez-Lopez, Samuel Gonz\u00e1lez-L\u00f3pez and Adri\u00e1n P. L\u00f3pez-Monroy. Improved Argumentative Paragraphs Detection in Academic Theses Supported with Unit Segmentation<\/a><\/td>Language engineering<\/td>Semantic text processing<\/td><\/tr>
40<\/td>Mar\u00eda Auxilio Medina Nieto, Jorge De la Calleja Mora, Claudia Zepeda Cort\u00e9s and Eduardo L\u00f3pez Dom\u00ednguez. Onto4AIR2: an ontology to manage theses from open repositories<\/a><\/td>Language engineering<\/td>Ontologies<\/td><\/tr>
84<\/td>Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay. Improved Neural Machine Translation for Low-Resource English-Assamese Pair<\/a><\/td>Language engineering<\/td>Machine translation<\/td><\/tr>
22<\/td>Niladri Chatterjee, Aayush Singha Roy and Nidhika Yadav. Soft Rough Set based Span for Unsupervised Keyword Extraction<\/a><\/td>Language engineering<\/td>Keyword extraction<\/td><\/tr>
94<\/td>Noman Ashraf, Raza Mustafa, Sabur Butt, Grigori Sidorov and Alexander Gelbukh. YouTube Based Religious Hate Speech and Extremism Detection Dataset with Machine Learning Baselines<\/a><\/td>Language engineering<\/td>Hate speech<\/td><\/tr>
41<\/td>Valery Solovyev and Vladimir Ivanov. Automatic generation of a large dictionary with concreteness\/abstractness ratings based on a small human dictionary<\/a><\/td>Language engineering<\/td>Dictionaries<\/td><\/tr>
95<\/td>Stephanie V\u00e1zquez-Gonz\u00e1lez, Mar\u00eda Somodevilla-Garcia and Rosalva Loreto-L\u00f3pez. Creating a corpus of historical documents for the emotions identification<\/a><\/td>Language engineering<\/td>Corpus<\/td><\/tr>
35<\/td>Gerardo Sierra, Tonatiuh Hern\u00e1ndez-Garc\u00eda, Helena G\u00f3mez-Adorno and Gemma Bel-Enguix. A Case Study in Authorship Attribution: The Mondrigo<\/a><\/td>Language engineering<\/td>Authorship attribution<\/td><\/tr>
17<\/td>Carolina Mart\u00edn del Campo Rodr\u00edguez, Grigori Sidorov and Ildar Batyrshin. Unsupervised Authorship Attribution Using Feature Selection and Weighted Cosine Similarity<\/a><\/td>Language engineering<\/td>Authorship attribution<\/td><\/tr>
21<\/td>Beatriz Bern\u00e1be Loranca, Mirna Huerta, John Cardiff and Jos\u00e9 Eduardo Espinosa Rosales. A Statistical evaluation of the oral vaccine S3pvac Papaya against Cysticercosis of Taenia Psiformis<\/a><\/td>Knowledge engineering<\/td>Statistics<\/td><\/tr>
43<\/td>Alfredo Garc\u00eda Su\u00e1rez, Juan Manuel Gonz\u00e1lez Calleros and Amparo Dora Palomino Merino. Detection of the level of attention in children with ADHD through brain waves and corporal posture<\/a><\/td>Knowledge engineering<\/td>Signal processing<\/td><\/tr>
65<\/td>Rafael Guzman-Cabrera, Iv\u00e1n Hern\u00e1ndez-Robles, Xiomara Gonz\u00e1lez Ram\u00edrez and Jos\u00e9 Rafael Guzm\u00e1n Sep\u00falveda. Improved approach to wave potential estimation using bivariate distributions<\/a><\/td>Knowledge engineering<\/td>Signal processing<\/td><\/tr>
75<\/td>Alma Eloisa Rodriguez Medina, Saul Dominguez-Isidro and Alberto Ramirez-Martinell. A Microlearning Path Recommendation Approach Based on Ant Colony Optimization<\/a><\/td>Knowledge engineering<\/td>Searching<\/td><\/tr>
50<\/td>Carlos Leopoldo Carre\u00f3n D\u00edaz de Le\u00f3n, Sergio Vergara Limon, Mar\u00eda Aurora Diozcora Vargas Trevi\u00f1o and Juan Manuel Gonz\u00e1lez Calleros. A novel methodology of parametric identification for robots based on a CNN<\/a><\/td>Knowledge engineering<\/td>Robotics, wavelets<\/td><\/tr>
23<\/td>Mariela Morveli-Espinoza, Juan Carlos Nieves and Cesar A. Tacla. Handling Temporality in Human Activity Reasoning<\/a><\/td>Knowledge engineering<\/td>Reasoning<\/td><\/tr>
2<\/td>Taku Utsuki-Alexander, Jorge Rios-Martinez, Francisco Madera-Ramirez and Humberto P\u00e9rez-Espinosa. Towards an intelligent personal assistant for hearing impaired people<\/a><\/td>Knowledge engineering<\/td>Personal assistance device<\/td><\/tr>
49<\/td>Claudio Guti\u00e9rrez-Soto, Tatiana Guti\u00e9rrez-Bunster and Guillermo Fuentes. A New and Efficient Algorithm to Look for Periodic Patterns on Spatio-Temporal Databases (Part 1<\/a>) (Part 2<\/a>)<\/td>Knowledge engineering<\/td>pattern recognition<\/td><\/tr>
89<\/td>Nahum Rangel, Salvador Godoy-Calderon and Hiram Calvo. Deep Symbolic Processing of Human-Performed Musical Sequences<\/a><\/td>Knowledge engineering<\/td>Music processing<\/td><\/tr>
25<\/td>Omar Lopez-Rincon, Oleg Starostenko and Alejandro Lopez-Rincon. Algorithmic Music Generation by Harmony Recombination with Genetic Algorithm<\/a><\/td>Knowledge engineering<\/td>Music generation<\/td><\/tr>
67<\/td>Rosario Lissiet Romero Coripuna, Delia Irazu Hernandez Farias, Blanca Olivia Murillo Ortiz and Teodoro C\u00f3rdova Fraga. Electro-Impedance Mammograms for Automatic Breast Cancer Screening: First Insights on Mexican Patients<\/a><\/td>Knowledge engineering<\/td>Medical images, image processing<\/td><\/tr>
8<\/td>Daniel Trevino-Sanchez and Vicente Alarcon-Aquino. Hybrid Pooling with Wavelets for Convolutional Neural Networks<\/a><\/td>Knowledge engineering<\/td>Machine learning, Wavelets<\/td><\/tr>
1<\/td>Usman Ahmed, Jerry Chun-Wei Lin and Gautam Srivastava. Ensemble-based Deep Meta learning for Medical Image Segmentation<\/a><\/td>Knowledge engineering<\/td>Machine learning, Medical images, image processing<\/td><\/tr>
91<\/td>Usman Ahmed, Jerry Chun-Wei Lin and Gautam Srivastava.\u00a0Deep Active Reinforcement Learning for Privacy Preserve Data Mining in 5G networks<\/a><\/td>Knowledge engineering<\/td>Machine learning<\/td><\/tr>
16<\/td>Oscar Herrera and Angeles Belem Priego S\u00e1nchez. Wavelets as activation functions in Neural Networks<\/a><\/td>Knowledge engineering<\/td>Machine learning<\/td><\/tr>
28<\/td>Joel Suarez-Cansino, Virgilio Lopez-Morales and Julio-Cesar R\u00e1mos-Fern\u00e1ndez. Automatic Generation of Learning Outcomes based on Long Short\u2013Term Memory Artificial Neural Network.<\/a><\/td>Knowledge engineering<\/td>Machine learning<\/td><\/tr>
68<\/td>Lauro Reyes-Cocoletzi, Ivan Olmos-Pineda and Arturo Olvera-L\u00f3pez. Motion Estimation in Vehicular Environments based on Bayesian Dynamic Networks<\/a><\/td>Knowledge engineering<\/td>image processing, vehicles<\/td><\/tr>
71<\/td>Ana Luisa Ballinas Hern\u00e1ndez, Ivan Olmos Pineda and Jose Arturo Olvera L\u00f3pez. Marked and Unmarked Speed Bump Detection for Autonomous Vehicles using Stereo Vision<\/a><\/td>Knowledge engineering<\/td>image processing, vehicles<\/td><\/tr>
58<\/td>Edgar E. Sierra Enr\u00edquez, Jos\u00e9 E. Valdez-Rodr\u00edguez, Edgardo Felipe-Riveron and Hiram Calvo. Classification and Enhancement of Invasive Ductal Carcinoma Samples using Convolutional Neural Networks<\/a><\/td>Knowledge engineering<\/td>Image processing<\/td><\/tr>
24<\/td>Rafael Gallardo Garc\u00eda, Beatriz Beltran Mart\u00ednez, Carlos Hern\u00e1ndez Gracidas and Darnes Vilari\u00f1o Ayala. Searching for Memory-Lighter Architectures for OCR-Augmented Image Captioning<\/a><\/td>Knowledge engineering<\/td>image captioning<\/td><\/tr>
81<\/td>Marco Antonio Lopez-Medina, Jos\u00e9 Raymunod Marcial-Romero, Guillermo De Ita and Jos\u00e9 Antonio Hern\u00e1ndez-Serv\u00edn. A method for counting models on grid Boolean formulas<\/a><\/td>Knowledge engineering<\/td>Computational Complexity<\/td><\/tr>
47<\/td>Fernando Rebollar Castelan, Rocio Aldeco-Perez and Marco Antonio Ramos Corchado. Modeling a multilayered blockchain framework for digital services that governments can implement<\/a><\/td>Knowledge engineering<\/td>blockchain<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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Paper ID Authors, Contribution title Area Topics 63 Raksha Agarwal and Niladri Chatterjee. Query-focused Multi-Document Text Summarization using Fuzzy Inference Language engineering Text summarization 55 Melesio Crespo-Sanchez, Iv\u00e1n Lopez-Arevalo, Edwin Aldana-Bobadilla Continue Reading →<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/pages\/1542"}],"collection":[{"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/comments?post=1542"}],"version-history":[{"count":49,"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/pages\/1542\/revisions"}],"predecessor-version":[{"id":1689,"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/pages\/1542\/revisions\/1689"}],"wp:attachment":[{"href":"https:\/\/lke.buap.mx\/2021\/index.php\/wp-json\/wp\/v2\/media?parent=1542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}