| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996464444503316 |
|
|
Autore |
Batyrshin I. Z (Ilʹdar Zakirzi͡anovich) |
|
|
Titolo |
Advances in soft computing : 20th Mexican international conference on artificial intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, proceedings, part II / / Ildar Batyrshin, Alexander Gelbukh and Grigori Sidorov |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham, Switzerland : , : Springer, , [2021] |
|
©2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (380 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science ; ; v.13068 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Soft computing |
Artificial intelligence |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Intro -- Preface -- Conference Organization -- Contents - Part II -- Contents - Part I -- Natural Language Processing Supervised -- Supervised Machine Learning for Automatic Assessment of Free-Text Answers -- 1 Introduction -- 2 Related Work -- 3 Our Methodology -- 4 Experimental Results -- 4.1 RQ1 Coverage: How Many Answers Can Be Automatically Assessed? -- 4.2 RQ2 Accuracy: How Accurate Is the Suggested Assessment? -- 5 Conclusion and Future Work -- References -- Towards Multilingual Image Captioning Models that Can Read -- 1 Introduction -- 2 State of the Art -- 2.1 Summary of the State-of-the-Art -- 3 Data and Methods -- 3.1 TextCaps Dataset -- 3.2 Automatic Translation of TextCaps -- 3.3 M4C-Captioner -- 3.4 Multilingual M4C-Captioner -- 3.5 Experimental Setup -- 4 Results -- 5 Conclusions and Future Work -- 6 Declarations -- References -- Best Paper Award, Second Place -- Question Answering for Visual Navigation in Human-Centered Environments -- 1 Introduction -- 2 Related Works -- 3 HISNav VQA Dataset -- 3.1 Images -- 3.2 Human-Asked Questions -- 3.3 Synthetic Questions -- 3.4 Dataset Analysis -- 4 Vector Semiotic Architecture Baseline -- 5 Experiments -- 5.1 Neural Network Baseline -- 5.2 Vector Semiotic Architecture -- 6 Discussion -- 7 Conclusion -- A Appendix: Data Labeling -- B Appendix: |
|
|
|
|
|
|
|
|
|
Examples -- References -- Improving a Conversational Speech Recognition System Using Phonetic and Neural Transcript Correction -- 1 Introduction -- 2 Background -- 3 Approach and Implementation -- 4 NLU Preprocessing Module -- 4.1 Phonetic Correction -- 4.2 Neural Classification Module -- 5 Experiments -- 6 Results and Discussion -- 7 Conclusions and Future Work -- References -- Estimation of Imageability Ratings of English Words Using Neural Networks -- 1 Introduction -- 2 Data and Method -- 3 Result -- 4 Result Interpretation -- 5 Conclusion. |
References -- Hypernyms-Based Topic Discovery Using LDA -- 1 Introduction -- 2 Preliminaries -- 2.1 Latent Dirichlet Allocation -- 2.2 Latent Semantic Analysis -- 2.3 Probabilistic Latent Semantic Analysis -- 2.4 WordNet -- 3 Related Work -- 4 The Proposed Method -- 4.1 Datasets -- 5 Results -- 5.1 Experimental Results -- 6 Conclusions -- References -- Virality Prediction for News Tweets Using RoBERTa -- 1 Introduction -- 2 Related Works -- 3 Our Method -- 3.1 Corpus -- 3.2 Tweet Influence Formula -- 3.3 Method Overview -- 3.4 Method Description -- 4 Results and Discussion -- 4.1 Results -- 4.2 Findings -- 5 Conclusion -- References -- Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Extraction -- 3.2 Data Transformation and Export Resulting Dataset -- 3.3 Data Labeling -- 3.4 Text Processing and Feature Extraction -- 3.5 Machine Learning Models -- 3.6 Experiments -- 3.7 Machine Learning Model Selection -- 4 Results and Discussion -- 5 Conclusions -- References -- Text-Independent Speaker Identification Using Formants and Convolutional Neural Networks -- 1 Introduction -- 2 Previous Work -- 3 Proposal -- 3.1 Converting Speech Signals into Images Disregarding Time -- 3.2 Convolutional Neural Network (CNN) -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Nahuatl Neural Machine Translation Using Attention Based Architectures: A Comparative Analysis for RNNs and Transformers as a Mobile Application Service -- 1 Introduction -- 2 State of the Art -- 2.1 How Big is Nahuatl? -- 2.2 NMT Related Works -- 2.3 NLP Nahuatl Related Works -- 2.4 Related Nahuatl and Translation Services -- 3 Models Description -- 3.1 Nahuatl -- 3.2 Bi-directional Recurrent Neural Network Plus Attention -- 3.3 Transformer -- 3.4 Bilingual Evaluation Understudy and FuzzyWuzzy. |
3.5 Axolotl -- 3.6 JW -- 3.7 SentencePiece Tokenization -- 3.8 Main Technologies -- 4 Implementation and Experiments -- 4.1 RNN -- 4.2 Transformer -- 4.3 The Application -- 4.4 Model Evaluation and Comparative -- 4.5 Comparatives Among and with Another Models -- 4.6 Emerging Behaviors -- 5 Conclusions -- 5.1 Future Work -- References -- STClass: A Method for Determining the Sensitivity of Documents -- 1 Introduction -- 2 Related Work -- 3 STClass: Method for Determining the Sensitivity of Documents -- 4 Datasets and Experimental Methodology -- 5 Conclusion -- References -- Plagiarism Detection in Students' Answers Using FP-Growth Algorithm -- 1 Introduction -- 2 Related Works -- 3 Dataset and Features -- 4 Methodology -- 5 Experiment -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Determining the Relationship Between the Letters in the Voynich Manuscript Splitting the Text into Parts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experiment -- 5 Result -- 6 Conclusion -- References -- Intelligent Applications and Robotics -- The Comparative Approach to Solving Temporal-Constrained Scheduling Problem Under Uncertainty -- 1 Introduction -- 2 Solving the Problem of Network Activity Planning in a Non-fuzzy Formulation -- 3 Solving the Problem of Network Planning |
|
|
|
|
|
|
|
in a Probabilistic Formulation -- 4 Solution of the Problem of Network Activity Planning in Fuzzy-Interval Formulation -- 5 Conclusion -- References -- A Tourist Recommendation System: A Study Case in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Collaborative-Based Filtering -- 3.3 Demographic-Based Filtering -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approach -- 1 Introduction. |
2 gSC: A One-Class Approach for Detecting Mental Disorders -- 2.1 Mass Assignment to Users -- 3 Experimental Settings -- 3.1 Dataset -- 3.2 Text Representations -- 3.3 Self-harm Vocabulary for Mass Calculation -- 3.4 Parameters' Tuning -- 4 Results -- 4.1 Error Analysis -- 5 Decision-Making Support Tool -- 6 Conclusions -- References -- Finite-Field Parallel Adder Circuit Over Prime Numbers Based on Spiking Neural P Systems -- 1 Introduction -- 2 An Introduction to the Finite-Field Addition Over GF(p) -- 3 Proposal of a Finite-Field Neural Adder Circuit -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats -- 1 Introduction -- 2 Material and Methods -- 2.1 New Dataset Creation as a Result of the Survey -- 3 Methodology -- 3.1 Two-Layer Feed-Forward ANN Classification -- 3.2 Rapid Prototyping Using Arduino UNO and MATLAB/Simulink -- 4 Proposed Framework -- 4.1 Knowledge Base -- 4.2 Decision System -- 4.3 Evaluation -- 5 Results: Arduino Prototype -- 6 Discussion -- 7 Conclusion -- References -- Machine Learning Framework for Antalgic Gait Recognition Based on Human Activity -- 1 Introduction -- 1.1 Related Work -- 1.2 Problem Statement and Solution Proposal -- 1.3 Paper Organization -- 2 Antalgic Gait Recognition Framework -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Feature Extraction and Selection -- 2.4 Training Model -- 2.5 Classification -- 3 Results and Discussion -- 4 Conclusions -- References -- A New Approach for the Automatic Connection of Sensors to an IoT Platform -- 1 Introduction -- 2 Background and Related Work -- 2.1 Internet of Things -- 2.2 FIWARE Platform -- 2.3 Related Work -- 3 Overview of Our Approach Proposed -- 4 Our Approach for the Automatic Connection of Sensors to an IoT Platform. |
4.1 Management Module -- 4.2 Code Generation Module for Communication with FIWARE -- 4.3 Code Generation Module for Capturing Data from Sensors -- 5 Software System for the Automatic Connection of Sensor to FIWARE IoT Platform -- 6 Conclusions and Future Work -- References -- A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 AI/ML Methods -- 3 Results -- 3.1 PM10 -- 3.2 PM2.5 -- 3.3 O3 -- 4 Summary and Conclusions -- References -- Mexican Automotive Industry Sales Behavior During the COVID-19 Pandemic -- 1 Introduction -- 2 Related Work -- 3 Description of the Proposal -- 3.1 Exploration of Variables and Data Sources -- 3.2 Model Analysis and Selection -- 3.3 Experimentation -- 4 Results and Discussion -- 5 Conclusions -- References -- Modeling Self-efficacy and Self-regulated Learning in Gamified Learning Environments Through Educational Data Mining -- 1 Introduction -- 2 Data Mining in Education -- 3 ITS and Gamification -- 4 Data-Driven Construction of a Gamified ITS -- 5 Conclusions and Future Work -- References -- Parallelization of the Array Method Using OpenMP -- 1 Introduction -- 1.1 Contributions of the Paper -- 2 Basic Definitions -- 3 Related Works -- 3.1 Parallel |
|
|
|
|
|
|
|
|
Application Design -- 4 Array Method Parallelization Using OpenMP -- 4.1 Arrays of the Array Method -- 5 Results -- 5.1 Experiments to Evaluate the Makespan Metric -- 5.2 Experiments to Evaluate the Waiting Time Metric -- 5.3 Experiments to Evaluate the Quality of Assignments When Experimenting with the Makespan Metric -- 5.4 Time to Search for Resources in the Clusters for the Assignment of Tasks -- 6 Conclusions -- 7 Future Works -- References -- Best Paper Award, Third Place -- Sign Language Translation Using Multi Context Transformer -- 1 Introduction. |
2 Related Work. |
|
|
|
|
|
| |