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    • Foreword 

      Velarde Molina, Jehovanni Fabricio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      This time, in the Special Issue on Artificial Intelligence in Economics, Finance and Business, we present a series of publications focused on artificial intelligence and finance. This compilation of research will bring new ...

    • Re-Evaluating the Relationship Between Economic Development and Self-Employment, at the Macro-Level: A Bayesian Model Averaging Approach 

      Rodriguez-Santiago, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      We re-evaluate the relationship between stages of economic development and entrepreneurship, at the macro level. We first conduct a literature review of previous empirical research on cross-country determinants of ...

    • Editor's Note 

      Golpe, Antonio A.; Isasi, Pedro; Martín-Álvarez, Juan-Manuel; Quintana, David (03/2022)
      Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance. Specifically, it has also been widely used in applications related ...

    • Research Collaboration Influence Analysis Using Dynamic Co-authorship and Citation Networks 

      Razzaq, Sidra; Kamran Malik, Ahmad; Raza, Basit; Ali Khattak, Hasan; Moscoso Zegarra, Giomar W.; Díaz Zelada, Yvan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Collaborative research is increasing in terms of publications, skills, and formal interactions, which certainly makes it the hotspot in both academia and the industrial sector. Knowing the factors and behavior of dynamic ...

    • Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel 

      Sánchez-Torres, Fulgencio; González, Iván; Dobrescu, Cosmin C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...

    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...

    • Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms 

      Ejiyi, Chukwuebuka Joseph; Qin, Zhen; Salako, Abdulhaq Adetunji; Happy, Monday Nkanta; Nneji, Grace Ugochi; Ukwuoma, Chiagoziem Chima; Chikwendu, Ijeoma Amuche; Gen, Ji (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ...

    • The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest 

      Cadahia Delgado, Pedro; Congregado, Emilio; Golpe, Antonio A.; Vides, José Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Most representative decision-tree ensemble methods have been used to examine the variable importance of Treasury term spreads to predict US economic recessions with a balance of generating rules for US economic recession ...

    • Finite Sample Properties of Parameterized Expectations Algorithm Solutions; Is the Length So Determinant? 

      Sánchez-Fuentes, A. Jesús (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      The solution of the Parameterized Expectations Algorithm (PEA) is well defined based on asymptotic properties. In practice, it depends on the specific replication of the exogenous shock(s) used for the resolution process. ...

    • A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions 

      Dogra, Varun; Verma, Sahil; Verma, Kavita; Jhanjhi, NZ; Ghosh, Uttam; Le, Dac-Nhuong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Online portals provide an enormous amount of news articles every day. Over the years, numerous studies have concluded that news events have a significant impact on forecasting and interpreting the movement of stock prices. ...

    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...

    • Using Customer Knowledge Surveys to Explain Sales of Postgraduate Programs: A Machine Learning Approach 

      Asensio, Eva; Almeida, Alejandro; Galiano, Aida; Martín-Álvarez, Juan-Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Universities collect information from each customer that contacts them through their websites and social media profiles. Customer knowledge surveys are the main information-gathering tool used to obtain this information ...

    • LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification 

      Alcaide, Asier; Patricio, Miguel A.; Berlanga, Antonio; Arroyo, Angel; Cuadrado Gallego, Juan J. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ...

    • Social Relations and Methods in Recommender Systems: A Systematic Review 

      Medel, Diego; González-González, Carina; V. Aciar, Silvana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user's historical behavior and find ...

    • Optimistic Motion Planning Using Recursive Sub- Sampling: A New Approach to Sampling-Based Motion Planning 

      Kenye, Lhilo; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Sampling-based motion planning in the field of robot motion planning has provided an effective approach to finding path for even high dimensional configuration space and with the motivation from the concepts of sampling ...

    • Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata 

      Anari, Z.; Hatamlou, A.; Anari, B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...

    • Towards a Robust Thermal-Visible Heterogeneous Face Recognition Approach Based on a Cycle Generative Adversarial Network 

      Kamel Benamara, Nadir; Zigh, Ehlem; Boudghene Stambouli, Tarik; Keche, Mokhtar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Security is a sensitive area that concerns all authorities around the world due to the emerging terrorism phenomenon. Contactless biometric technologies such as face recognition have grown in interest for their capacity ...

    • A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...

    • Predictive Model for Taking Decision to Prevent University Dropout 

      Urbina-Nájera, Argelia B.; Méndez-Ortega, Luis A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose effects fall on society's development. This document presents an experimental study to obtain a predictive model that allows ...

    • Editor's Note 

      Dey, Nilanjan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report ...