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International Conference on Machine Learning and Applications

ICMLA

C

CORE rank

CORE rank (raw)

C

Fields of research

Machine Learning

Papers indexed

4,222

2002–2025

Papers per year

2002331 peak2025

ICMLA papers

4,222 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2012Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection.Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman
2012Incorporating Gene Significance in the Impact Analysis of Signaling Pathways.Calin Voichita, Michele Donato, Sorin Draghici
2012Estimation of Susceptibility to Landslides Using Neural Networks Based on the FALCON-ART Model.lvaro Viloria, C. Chang, Maria Corina Pineda Socorro, Jess Viloria
2012ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida.Thomas Villmann, Marika Kstner, David Nebel, Martin Riedel
2012Monte Carlo Tree Search for Bayesian Reinforcement Learning.Ngo Anh Vien, Wolfgang Ertel
2012Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations.Douglas A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, Adriano Chaves Lisboa
2012pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods.Antoine Veillard, Daniel Racoceanu, Stphane Bressan
2012SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry.Antoine Veillard, Stphane Bressan, Daniel Racoceanu
2012Backtracking for More Efficient Large Scale Dynamic Programming.Charles Tripp, Ross D. Shachter
2012Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm.Viktor Ten, N. T. Isembergenov, Y. Akhmetbekov, D. Sarbassov, A. Iglikov, B. T. Matkarimov
2012Risk Estimation in Spatial Disease Clusters: An RBF Network Approach.Fernanda C. Takahashi, Ricardo H. C. Takahashi
2012Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning.Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel
2012A Comparison of Graph Embedding Methods for Vertex Nomination.Ming Sun, Minh Tang, Carey E. Priebe
2012Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets.Chris Sumner, Alison Byers, Rachel Boochever, Gregory J. Park
2012Minimal Norm Support Vector Machines for Large Classification Tasks.Robert Strack, Vojislav Kecman
2012O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models.Aditya Sriram, Feng Luo
2012Balancing Public Cycle Sharing Schemes Using Independent Learners.Jeremiah Smith, Luke Dickens, Krysia Broda
2012Predicting Congressional Votes Based on Campaign Finance Data.Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, Mario Frank
2012Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers.Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic
2012Finding Survival Groups in SEER Lung Cancer Data.Iryna Skrypnyk
2012Effective Enrichment of Gene Expression Data Sets.Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj
2012Large Scale URL-based Classification Using Online Incremental Learning.Nidhi Singh, Harsimrat Sandhawalia, Nicolas Monet, Herv Poirier, Jean-Marc Coursimault
2012Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters.Nidhi Singh, Shrisha Rao
2012An Analysis of Machine Learning Methods for Spam Host Detection.Renato Moraes Silva, Akebo Yamakami, Tiago A. Almeida
2012Evolving Neural Fuzzy Network with Adaptive Feature Selection.Alisson Marques Silva, Walmir Matos Caminhas, Andr Paim Lemos, Fernando A. C. Gomide
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