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896 results on '"Batyrshin, Ildar"'

1. A Survey of Empathetic Generative Chatbots

Author

Martín-del-Campo-Rodríguez, Carolina, Sidorov, Grigori, Batyrshin, Ildar, Kacprzyk, Janusz, Series Editor, Shahbazova, Shahnaz N., editor, Abbasov, Ali M., editor, Kreinovich, Vladik, editor, and Batyrshin, Ildar Z., editor

Published
2023
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4. Contracting and Involutive Negations of Probability Distributions

Author

Batyrshin, Ildar

Subjects
Computer Science - Artificial Intelligence
Abstract

A dozen papers have considered the concept of negation of probability distributions (pd) introduced by Yager. Usually, such negations are generated point-by-point by functions defined on a set of probability values and called here negators. Recently it was shown that Yager negator plays a crucial role in the definition of pd-independent linear negators: any linear negator is a function of Yager negator. Here, we prove that the sequence of multiple negations of pd generated by a linear negator converges to the uniform distribution with maximal entropy. We show that any pd-independent negator is non-involutive, and any non-trivial linear negator is strictly contracting. Finally, we introduce an involutive negator in the class of pd-dependent negators that generates an involutive negation of probability distributions., Comment: 12 pages, 2 figures

Published
2021

5. Generating Negations of Probability Distributions

Author

Batyrshin, Ildar, Villa-Vargas, Luis Alfonso, Ramirez-Salinas, Marco Antonio, Salinas-Rosales, Moises, and Kubysheva, Nailya

Subjects
Computer Science - Artificial Intelligence
Abstract

Recently it was introduced a negation of a probability distribution. The need for such negation arises when a knowledge-based system can use the terms like NOT HIGH, where HIGH is represented by a probability distribution (pd). For example, HIGH PROFIT or HIGH PRICE can be considered. The application of this negation in Dempster-Shafer theory was considered in many works. Although several negations of probability distributions have been proposed, it was not clear how to construct other negations. In this paper, we consider negations of probability distributions as point-by-point transformations of pd using decreasing functions defined on [0,1] called negators. We propose the general method of generation of negators and corresponding negations of pd, and study their properties. We give a characterization of linear negators as a convex combination of Yager and uniform negators., Comment: 10 pages, 1 figure

Published
2021

6. Hardware Implementation of Karnik-Mendel Algorithm for Interval Type-2 Fuzzy Sets and Systems

Author

Yáñez, Omar Hernández, Lozano, Herón Molina, Batyrshin, Ildar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Batyrshin, Ildar, editor, and Marín-Hernández, Antonio, editor

Published
2019
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7. Bot-Human Twitter Messages Classification

Author

Martín-del-Campo-Rodríguez, Carolina, Sidorov, Grigori, Batyrshin, Ildar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
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8. Dissimilarity-Based Correlation of Movements and Events on Circular Scales of Space and Time

Author

Batyrshin, Ildar, Kubysheva, Nailya, Tarassov, Valery, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
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9. Similarity-Based Correlation Functions for Binary Data

Author

Batyrshin, Ildar Z., Ramirez-Mejia, Ivan, Batyrshin, Ilnur I., Solovyev, Valery, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
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11. Enhancement of Performance of Document Clustering in the Authorship Identification Problem with a Weighted Cosine Similarity

Author

Martín-del-Campo-Rodríguez, Carolina, Sidorov, Grigori, Batyrshin, Ildar, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Batyrshin, Ildar, editor, Martínez-Villaseñor, María de Lourdes, editor, and Ponce Espinosa, Hiram Eredín, editor

Published
2018
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12. Refinement of word embeddings with sentiment content using multi-output neural networks.

Author

Martín-del-Campo-Rodríguez, C., Batyrshin, Ildar, and Sidorov, Grigori

Abstract

Word embeddings have been successfully used in diverse tasks of Natural Language Processing, including sentiment analysis and emotion classification, even though these embeddings do not contain any emotional or sentimental information. This article proposes a method to refine pre-trained embeddings with emotional and sentimental content. To this end, a Multi-output Neural Network is proposed to learn emotions and sentiments simultaneously. The resulting embeddings are tested in emotion classification and sentiment analysis tasks, showing an improvement compared with the pre-trained vectors and other proposes in the state-of-the-art for fine-grained emotion classification. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Dissimilarity functions co-symmetry property: a focus on probability distributions with involutive negation.

Author

Ensastegui-Ortega, Maria Elena, Batyrshin, Ildar, Cárdenas–Perez, Mario Fernando, Kubysheva, Nailya, and Gelbukh, Alexander

Abstract

In today’s data-rich era, there is a growing need for developing effective similarity and dissimilarity measures to compare vast datasets. It is desirable that these measures reflect the intrinsic structure of the domain of these measures. Recently, it was shown that the space of finite probability distributions has a symmetric structure generated by involutive negation mapping probability distributions into their “opposite” probability distributions and back, such that the correlation between opposite distributions equals –1. An important property of similarity and dissimilarity functions reflecting such symmetry of probability distribution space is the co-symmetry of these functions when the similarity between probability distributions is equal to the similarity between their opposite distributions. This article delves into the analysis of five well-known dissimilarity functions, used for creating new co-symmetric dissimilarity functions. To conduct this study, a random dataset of one thousand probability distributions is employed. From these distributions, dissimilarity matrices are generated that are used to determine correlations similarity between different dissimilarity functions. The hierarchical clustering is applied to better understand the relationships between the studied dissimilarity functions. This methodology aims to identify and assess the dissimilarity functions that best match the characteristics of the studied probability distribution space, enhancing our understanding of data relationships and patterns. The study of these new measures offers a valuable perspective for analyzing and interpreting complex data, with the potential to make a significant impact in various fields and applications. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Data Science: Similarity, Dissimilarity and Correlation Functions

Author

Batyrshin, Ildar Z., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Osipov, Gennady S., editor, Panov, Aleksandr I., editor, and Yakovlev, Konstantin S., editor

Published
2019
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16. Constructing Time Series Shape Association Measures: Minkowski Distance and Data Standardization

Author

Batyrshin, Ildar

Subjects
Computer Science - Learning
Abstract

It is surprising that last two decades many works in time series data mining and clustering were concerned with measures of similarity of time series but not with measures of association that can be used for measuring possible direct and inverse relationships between time series. Inverse relationships can exist between dynamics of prices and sell volumes, between growth patterns of competitive companies, between well production data in oilfields, between wind velocity and air pollution concentration etc. The paper develops a theoretical basis for analysis and construction of time series shape association measures. Starting from the axioms of time series shape association measures it studies the methods of construction of measures satisfying these axioms. Several general methods of construction of such measures suitable for measuring time series shape similarity and shape association are proposed. Time series shape association measures based on Minkowski distance and data standardization methods are considered. The cosine similarity and the Pearsons correlation coefficient are obtained as particular cases of the proposed general methods that can be used also for construction of new association measures in data analysis., Comment: Presented at BRICS CCI 2013, Porto de Galinhas, Brasil, 8-11 September 2013. Reference on Proceedings of BRICS CCI 2013 is added

Published
2013

17. Modus Ponens Generating Function in the Class of ^-valuations of Plausibility

Author

Batyrshin, Ildar Z.

Subjects
Computer Science - Artificial Intelligence
Abstract

We discuss the problem of construction of inference procedures which can manipulate with uncertainties measured in ordinal scales and fulfill to the property of strict monotonicity of conclusion. The class of A-valuations of plausibility is considered where operations based only on information about linear ordering of plausibility values are used. In this class the modus ponens generating function fulfiling to the property of strict monotonicity of conclusions is introduced., Comment: Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)

Published
2013

18. Dynamic Local Trend Associations in Analysis of Comovements of Financial Time Series

Author

García-López, Francisco Javier, Batyrshin, Ildar, Gelbukh, Alexander, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Castillo, Oscar, editor, Reformat, Marek, editor, and Melek, William, editor

Published
2018
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19. Correlation Measures for Bipolar Rating Profiles

Author

Monroy-Tenorio, Fernando, Batyrshin, Ildar, Gelbukh, Alexander, Solovyev, Valery, Kubysheva, Nailya, Rudas, Imre, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Castillo, Oscar, editor, Reformat, Marek, editor, and Melek, William, editor

Published
2018
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20. Towards a Classification of Binary Similarity Measures

Author

Mejia, Ivan Ramirez, Batyrshin, Ildar, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Castro, Félix, editor, Miranda-Jiménez, Sabino, editor, and González-Mendoza, Miguel, editor

Published
2018
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21. Stress Recognition in Code-Mixed Social Media Texts using Machine Learning.

Author

Achamaleh, Tewodros, Eyob, Lemlem, Tayyab, Muhammad, Sidorov, Grigori, and Batyrshin, Ildar

Subjects
MACHINE learning, DEEP learning, SUPPORT vector machines, K-nearest neighbor classification, RANDOM forest algorithms, DECISION trees, SOCIAL media
Abstract

Stress, being a complex emotional state caused by a variety of multiple sources, has the potential for serious effects if left untreated. The primary goal of this research is to select and consider AI models that effectively recognize stress within the complicated domain of social media posts. The significance of this study is not only the categorization of stress but also the interpretation of the sophisticated methods that serve as the basis for these emotional responses. Among the traditional machine learning models, Random Forest, K-Nearest Neighbor, Logistic Regression, Decision Tree, and Support Vector Machine are used. The deep learning model's LSTM, BiLSTM, and transformerbased models m-BERT, AL-BERT, XLM-RoBERTa, IndicBERT, and Distil-BERT were used. Of those models, LSTM proved to be the best-performing model, with an F1-score of 0.75. [ABSTRACT FROM AUTHOR]

Published
2024
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26. How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach

Author

Batyrshin, Ildar, Dumrongpokaphan, Thongchai, Kreinovich, Vladik, Kosheleva, Olga, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huynh, Van-Nam, editor, Inuiguchi, Masahiro, editor, Le, Bac, editor, Le, Bao Nguyen, editor, and Denoeux, Thierry, editor

Published
2016
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30. Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance

Author

Kreinovich, Vladik, Jacob, Christelle, Dubois, Didier, Cardoso, Janette, Ceberio, Martine, Batyrshin, Ildar, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Batyrshin, Ildar, editor, and Sidorov, Grigori, editor

Published
2011
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31. Complete Syntactic N-grams as Style Markers for Authorship Attribution

Author

Posadas-Duran, Juan-Pablo, Sidorov, Grigori, Batyrshin, Ildar, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Gelbukh, Alexander, editor, Espinoza, Félix Castro, editor, and Galicia-Haro, Sofía N., editor

Published
2014
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32. Positive and Negative Local Trend Association Patterns in Analysis of Associations between Time Series

Author

Batyrshin, Ildar, Solovyev, Valery, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez-Trinidad, José Francisco, editor, Carrasco-Ochoa, Jesús Ariel, editor, Olvera-Lopez, José Arturo, editor, Salas-Rodríguez, Joaquín, editor, and Suen, Ching Y., editor

Published
2014
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45. Association Measures and Aggregation Functions

Author

Batyrshin, Ildar, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Castro, Félix, editor, Gelbukh, Alexander, editor, and González, Miguel, editor

Published
2013
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46. Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns

Author

Batyrshin, Ildar, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carrasco-Ochoa, Jesús Ariel, editor, Martínez-Trinidad, José Francisco, editor, Olvera López, José Arturo, editor, and Boyer, Kim L., editor

Published
2012
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47. Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields

Author

Sheremetov, Leonid, Cosultchi, Ana, Batyrshin, Ildar, Velasco-Hernandez, Jorge, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Martínez-Trinidad, José Francisco, editor, Carrasco-Ochoa, Jesús Ariel, editor, Ben-Youssef Brants, Cherif, editor, and Hancock, Edwin Robert, editor

Published
2011
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48. On Trend Association Analysis of Time Series of Atmospheric Pollutants and Meteorological Variables in Mexico City Metropolitan Area

Author

Almanza, Victor, Batyrshin, Ildar, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Martínez-Trinidad, José Francisco, editor, Carrasco-Ochoa, Jesús Ariel, editor, Ben-Youssef Brants, Cherif, editor, and Hancock, Edwin Robert, editor

Published
2011
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50. FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions

Author

Cortés Antonio, Prometeo, Batyrshin, Ildar, Molina Lozano, Heron, Villa Vargas, Luis A., Rudas, Imre, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Sidorov, Grigori, editor, Hernández Aguirre, Arturo, editor, and Reyes García, Carlos Alberto, editor

Published
2010
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