Renato Cordeiro de Amorim

45 papers B 2C 1Misc 1Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving clustering quality evaluation in noisy Gaussian mixtures. Neurocomputing Renato Cordeiro de Amorim, Vladimir Makarenkov
2026	J	`jnl`	On the Objective and Feature Weights of Minkowski Weighted k-Means. CoRR Renato Cordeiro de Amorim, Vladimir Makarenkov
2025	J	`jnl`	ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation. CoRR Mohammadreza Bakhtyari, Bogdan Mazoure, Renato Cordeiro de Amorim, Guillaume Rabusseau, Vladimir Makarenkov
2025	J	`jnl`	Hybrid Interval Type-2 Mamdani-TSK Fuzzy System for Regression Analysis. CoRR Ashish Bhatia, Renato Cordeiro de Amorim, Vito De Feo
2025	J	`jnl`	Improving clustering quality evaluation in noisy Gaussian mixtures. CoRR Renato Cordeiro de Amorim, Vladimir Makarenkov
2025	J	`jnl`	Scalable unsupervised feature selection via weight stability. CoRR Xudong Zhang, Renato Cordeiro de Amorim
2025	J	`jnl`	Shapley-Inspired Feature Weighting in CoRR Richard J. Fawley, Renato Cordeiro de Amorim
2024	J	`jnl`	A Deep Learning Approach to Language-independent Gender Prediction on Twitter. CoRR Reyhaneh Hashempour, Barbara Plank, Aline Villavicencio, Renato Cordeiro de Amorim
2024	J	`jnl`	Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation. IEEE Access Andrei Rykov, Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
2023	J	`jnl`	Feature weighting in DBSCAN using reverse nearest neighbours. Pattern Recognit. Stiphen Chowdhury, Na Helian, Renato Cordeiro de Amorim
2023	J	`jnl`	On Neurocomputing Renato Cordeiro de Amorim, Vladimir Makarenkov
2023	J	`jnl`	On Sum-Free Subsets of Abelian Groups. Axioms Renato Cordeiro de Amorim
2022	J	`jnl`	An Extensive Empirical Comparison of k-means Initialization Algorithms. IEEE Access Simon Harris, Renato Cordeiro de Amorim
2021	J	`jnl`	Identifying meaningful clusters in malware data. Expert Syst. Appl. Renato Cordeiro de Amorim, Carlos David Lopez Ruiz
2021	J	`jnl`	Improving cluster recovery with feature rescaling factors. Appl. Intell. Renato Cordeiro de Amorim, Vladimir Makarenkov
2021	J	`jnl`	Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition. IEEE Access Alberto José Benayas Álamos, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim
2020	J	`jnl`	Core Clustering as a Tool for Tackling Noise in Cluster Labels. J. Classif. Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
2020	J	`jnl`	Identifying meaningful clusters in malware data. CoRR Renato Cordeiro de Amorim, Carlos David Lopez Ruiz
2020	J	`jnl`	Improving cluster recovery with feature rescaling factors. CoRR Renato Cordeiro de Amorim, Vladimir Makarenkov
2019	J	`jnl`	Unsupervised feature selection for large data sets. Pattern Recognit. Lett. Renato Cordeiro de Amorim
2018	J	`jnl`	An efficient density-based clustering algorithm using reverse nearest neighbour. CoRR Stiphen Chowdhury, Renato Cordeiro de Amorim
2018	J	`jnl`	Feature weighting as a tool for unsupervised feature selection. Inf. Process. Lett. Deepak Panday, Renato Cordeiro de Amorim, Peter C. R. Lane
2017	J	`jnl`	The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning. Pattern Recognit. Renato Cordeiro de Amorim, Andrei Shestakov, Boris G. Mirkin, Vladimir Makarenkov
2016	J	`jnl`	A Survey on Feature Weighting Based K-Means Algorithms. J. Classif. Renato Cordeiro de Amorim
2016	J	`jnl`	A survey on feature weighting based K-Means algorithms. CoRR Renato Cordeiro de Amorim
2016	J	`jnl`	A-Ward CoRR Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
2016	J	`jnl`	A-Ward Inf. Sci. Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
2016	J	`jnl`	Applying subclustering and L Neurocomputing Renato Cordeiro de Amorim, Vladimir Makarenkov
2016	J	`jnl`	Recovering the number of clusters in data sets with noise features using feature rescaling factors. CoRR Renato Cordeiro de Amorim, Christian Hennig
2015	J	`jnl`	Feature Relevance in Ward's Hierarchical Clustering Using the L p Norm. J. Classif. Renato Cordeiro de Amorim
2015	J	`jnl`	Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf. Sci. Renato Cordeiro de Amorim, Christian Hennig
2014	—	`conf`	Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery. PolTAL Marcos Zampieri, Renato Cordeiro de Amorim
2014	C	`conf`	Challenges in developing Capture-HPC exclusion lists. SIN Mohammad Puttaroo, Peter Komisarczuk, Renato Cordeiro de Amorim
2014	—	`ch.`	Partitional Clustering of Malware Using K-Means. Cyberpatterns Renato Cordeiro de Amorim, Peter Komisarczuk
2013	—	`conf`	A Clustering-Based Approach to Reduce Feature Redundancy. KICSS Renato Cordeiro de Amorim, Boris G. Mirkin
2013	Misc	`conf`	Effective Spell Checking Methods Using Clustering Algorithms. RANLP Renato Cordeiro de Amorim, Marcos Zampieri
2012	—	`conf`	An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations. MICAI (1) Renato Cordeiro de Amorim
2012	J	`jnl`	Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results. Artif. Intell. Res. Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan
2012	J	`jnl`	Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering. Pattern Recognit. Renato Cordeiro de Amorim, Boris G. Mirkin
2012	B	`conf`	On Initializations for the Minkowski Weighted K-Means. IDA Renato Cordeiro de Amorim, Peter Komisarczuk
2012	B	`conf`	Weighting Features for Partition around Medoids Using the Minkowski Metric. IDA Renato Cordeiro de Amorim, Trevor I. Fenner
2009	—	`ch.`	An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. Computer Recognition Systems 3 Renato Cordeiro de Amorim
2009	J	`jnl`	Computational Methods of Feature Selection, Huan Liu, Hiroshi Motoda, CRC Press, Boca Raton, FL (2007), 440 pp, ISBN 978-1-58488-878-9 Inf. Process. Manag. Renato Cordeiro de Amorim
2009	J	`jnl`	Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics. Cogn. Syst. Res. Stefan Wermter, Renato Cordeiro de Amorim
2009	J	`jnl`	Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire: Successes and New Directions in Data Mining. Inf. Retr. Renato Cordeiro de Amorim