International Conference on Hybrid Artificial Intelligence Systems

HAIS

National

CORE rank

CORE rank (raw)

National: Spain

Fields of research

Artificial Intelligence

Papers indexed

1,356

2008–2026

Best Artificial Intelligence conferences

Papers per year

2008135 peak2026

Most published authors

HAIS papers

1,356 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Meta-Learning for Hyperparameters Tuning in CNNs for Chest Images.	Jess Garca-Ramrez, Rodrigo Ramos Daz, Jimena Olveres, Boris Escalante-Ramrez
2023	Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift.	David Escudero Garca, Noem DeCastro-Garca
2023	Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification.	Daniela Lopes Freire, Alex Marino Gonalves de Almeida, Mrcio de Souza Dias, Adriano Rivolli, Fabola S. F. Pereira, Giliard Almeida de Godoi, Andr C. P. L. F. de Carvalho
2023	Probability Density Function for Clustering Validation.	Pau Figuera, Alfredo Cuzzocrea, Pablo Garca Bringas
2023	Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis.	Erik Terres Escudero, Danel Arias Alamo, Oier Mentxaka Gmez, Pablo Garca Bringas
2023	Multi-Task Gradient Boosting.	Seyedsaman Emami, Carlos Ruiz Pastor, Gonzalo Martnez-Muoz
2023	Varroa Mite Detection Using Deep Learning Techniques.	Jose Divasn, Francisco Javier Martnez de Pisn, Ana Romero, Pilar Santolaria, Jess Yniz
2023	Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets.	Jose Divasn, Alpha V. Perna-Espinoza, Ana Romero, Francisco J. Martnez de Pisn Ascacibar
2023	Daily Accumulative Photovoltaic Energy Prediction Using Hybrid Intelligent Model.	Antonio Daz-Longueira, Mriam Timiraos, Juan Albino Mndez Prez, Jos Lus Casteleiro-Roca, Esteban Jove
2023	Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries.	Antonio Daz-Longueira, lvaro Michelena, Mriam Timiraos, Francisco Zayas-Gato, Hctor Quintin, Carmen Benavides-Cuellar, Hctor Alaiz-Moretn, Jos Lus Calvo-Rolle, Mara Teresa Garca-Ords
2023	Sentiment Analysis for Vietnamese - Based Hybrid Deep Learning Models.	Cach N. Dang, Mara N. Moreno Garca, Fernando De la Prieta, Kien V. Nguyen, Vuong M. Ngo
2023	Enhancing Evolutionary Optimization Performance Under Byzantine Fault Conditions.	Carlos Cotta
2023	A Hybrid Based Genetic Algorithm for Solving the Clustered Generalized Traveling Salesman Problem.	Ovidiu Cosma, Petrica C. Pop, Laura Cosma
2023	Multi-agent System for Multimodal Machine Learning Object Detection.	Eduardo Coelho, Nuno Pimenta, Hugo Peixoto, Dalila Dures, Pedro Melo-Pinto, Victor Alves, Loureno Bandeira, Jos Machado, Paulo Novais
2023	The Problem of Concept Learning and Goals of Reasoning in Large Language Models.	Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr Panov
2023	Financial Distress Prediction in an Imbalanced Data Stream Environment.	Rubens Marques Chaves, Andr Luis Debiaso Rossi, Lus Paulo Faina Garcia
2023	Study on Synthetic Video Generation of Embryo Development.	Pedro Celard, Adrin Seara Vieira, Jos Manuel Sorribes-Fdez, Rubn Romero, Eva Lorenzo Iglesias, Mara Lourdes Borrajo Diz
2023	Adapting YOLOv8 as a Vision-Based Animal Detection System to Facilitate Herding.	Virginia Riego-Del Castillo, Juan Felipe Garca Sierra, Lidia Snchez-Gonzlez
2023	Efficient Simulation of Pollutant Dispersion Using Machine Learning.	Guido F. M. G. Carvalho, Douglas F. Corra, David A. Pelta, Diego C. Knupp, Antnio Jos da Silva Neto
2023	Risk Factors and Survival After Premature Hospital Readmission in Frail Subjects with Delirium.	Guillermo Cano-Escalera, Manuel Graa, Ariadna Besga
2023	An Integer Linear Programming Model for Team Formation in the Classroom with Constraints.	Gonzalo Candel, Vctor Snchez-Anguix, Juan M. Alberola, Vicente Julin, Vicent J. Botti
2023	A Fuzzy Logic Ensemble Approach to Concept Drift Detection.	Carlos del Campo, Borja Sanz, Jon Daz, Enrique Onieva
2023	Analysis of Transformer Model Applications.	Maria Isabel Cabrera-Bermejo, Mara Jos del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Prez-Godoy
2023	A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand.	Seok-Jun Bu, Sung-Bae Cho
2023	Comparison of Deep Reinforcement Learning Path-Following System Based on Road Geometry and an Adaptive Cruise Control for Autonomous Vehicles.	Felipe Barreno, Matilde Santos, Manuel G. Romana

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