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ORCID14th MLDM 2019: New York, NY, USA
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition, 15th International Conference on Machine Learning and Data Mining, MLDM 2019, New York, NY, USA, July 20-25, 2019, Proceedings, Volume II. ibai Publishing 2019, ISBN 978-3-942952-63-7 - Ticiana L. Coelho da Silva, Natanael da Silva Araujú, José Antônio Fernandes de Macêdo, David Araújo, Felipe Melo Soares, Paulo A. L. Rego, Aloisio Vieira Lira Neto:
Novel approach for Label Disambiguation via Deep Learning. MLDM (2) 2019: 431-442 - Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo:
On combining dynamic selection, sampling, and pool generators for credit scoring. MLDM (2) 2019: 443-457 - Shruti Kaushik, Abhinav Choudhury, Ashutosh Kumar Jatav, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
Comparative Analysis of Features Selection Techniques for Classification in Healthcare. MLDM (2) 2019: 458-472 - Zhan Li, Li Chen, Guan Wng, Feng Zeng, Yun Zhang:
Ontology-based Neural Network for Energy Optimization in Data Centers. MLDM (2) 2019: 473-487 - R. Prashanth:
Semantic similarity estimation for domain speci?c data using BERT and other techniques. MLDM (2) 2019: 488-499 - Marília Nayara Clemente de Almeida Lima, Geovanne Oliveira Alves, Wedson Lino Soares, Roberta Andrade de Araújo Fagundes:
Educational Data Mining: A Hybrid Approach to Predicting Academic Performance of Students. MLDM (2) 2019: 500-514 - Roman A. Sizov, Dan A. Simovici:
On the Vapnik-Chervonenkis Dimension of Binary Tables. MLDM (2) 2019: 515-526 - Eric L. Goodman, Dirk Grunwald:
A Streaming Analytics Language for Processing Cyber Data. MLDM (2) 2019: 527-541 - João Holanda Freires Junior, José Antônio Fernandes de Macêdo, Igo Ramalho Brilhante:
SumOpinions: Automatic Summarization of Reviews about Tourist Places. MLDM (2) 2019: 542-556 - Wenqing He, Grace Y. Yi, Li-Pang Chen:
Support Vector Machine with Graphical Network Structures in Features. MLDM (2) 2019: 557-570 - Eura Shin, Samuel Berglin, Jacob Furst, Daniela Raicu:
Expanding annotated data with informed labels for weak supervision. MLDM (2) 2019: 571-584 - Sergey Gavrin, Damir Murzagulov, Alexander Zamyatin:
Anomaly Detection in Process Signals within Machine Learning and Data Augmentation Approach*. MLDM (2) 2019: 585-598 - Jadisha Yarif Ramírez Cornejo, Hélio Pedrini:
Dynamic Facial Expression Recognition Based on Visual Rhythms and Motion History Images. MLDM (2) 2019: 599-613 - Reham M. Alamro, Abdou S. Youssef:
Data Reduction Effects on Classification Accuracy and Training Time. MLDM (2) 2019: 614-624 - Katherina Meißner, Julia Rieck:
Data Mining Framework to Derive Measures for Road Safety. MLDM (2) 2019: 625-639 - Hao Huang, Shinjae Yoo, Yunwen Xu:
Failure Analysis on Multivariate Time-series Data given Uncertain Labels. MLDM (2) 2019: 640-654 - Thaciana G. O. Cerqueira, Leandro Balby Marinho, Franklin Ramalho:
Feature Evaluation for Project Preferences Representation in GitHub. MLDM (2) 2019: 655-668 - Huan Phan, Bac Le:
NOV-mRSI: A Novel Algorithm for Minimal Rare Singnificance Itemsets Mining NOT Satisfy the Downward Closure Property in Transactional Databases. MLDM (2) 2019: 669-680 - Sarah Almeida Carneiro, Gabriel Pellegrino da Silva, Guilherme Vieira Leite, Ricardo Moreno, Silvio Jamil Ferzoli Guimarães, Hélio Pedrini:
Deep Convolutional Multi-Stream Network Detection System Applied to Fall Identi?cation in Video Sequences. MLDM (2) 2019: 681-695 - Chen Avni, Maya Herman:
Edge Detection Using K-means and Run-Based Two-Scan Connected Components labeling adapted for grayscale images. MLDM (2) 2019: 696-703 - Yi Wei, Vipin Chaudhary:
The Representation of Wave Trend Direction in Stock Price Time Series via RNN. MLDM (2) 2019: 704-717 - Yibo Zhao, Jin Cao, Ran He:
Two-Sample Tests for High Dimensional Distributions Using One-Dimensional Random Projections. MLDM (2) 2019: 718-732 - Zhendong Liu, Gang Li, Patrick Wang:
The Computing Algorithm of Barrier Tree Based on the Basin Hopping Graph in RNA Structure. MLDM (2) 2019: 733-742 - Sungho Kim, Jungho Kim, Jinyong Lee, Junmo Ahn:
Hyperspectral Remote Temperature Estimation Robust to Atmospheric Variation with Fourier Transform Infrared and Deep Learning. MLDM (2) 2019: 743-747 - Youngha Hwang, Saul B. Gelfand:
Binary Sparse Dynamic Time Warping. MLDM (2) 2019: 748-759 - Naveksha Sood, Shruti Kaushik, Aditya Nigam, Sriram Kailasam, Dileep D., Varun Dutt:
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. MLDM (2) 2019: 760-774 - Dan Lemberg, Zeev Volkovich:
A "Sentimental Analysis" of Computer-Generated Papers. MLDM (2) 2019: 775-781 - Liang Dai, Ram Akella:
Lifetime reward optimization for online ads experiment. MLDM (2) 2019: 782-791 - Kazim Sekeroglu, Ömer Muhammet Soysal, Xin Li:
Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. MLDM (2) 2019: 792-804 - Ahsan Jalal, Ahmad Salman:
Object Detection and Classi?cation in Low Resolution Underwater Imagery Using Deep Neural Network and Motion-Inspired Features. MLDM (2) 2019: 805-819 - Saman Muthukumarana, Ninad Khargonkar:
Modeling and Simulation of UEFA Champions League. MLDM (2) 2019: 820-832 - Yahia Saeed Assiri:
Stochastic Optimization of Plain Convolutional Neural Networks with Simple Methods. MLDM (2) 2019: 833-844 - Ivelize R. Bernardo, Hélio Pedrini, André Santanchè:
Annotating Biodiversity Spreadsheets through 5W1H based on Machine Learning. MLDM (2) 2019: 845-859 - Artyom Diky, Robert M. Haralick:
Topological Structure of Linear Manifold Clustering. MLDM (2) 2019: 860-874 - Zeljana Grbovic, Marko Panic, Oskar Marko, Sanja Brdar, Vladimir S. Crnojevic:
Wheat Ear Detection in RGB : and Thermal Images Using Deep Neural Networks. MLDM (2) 2019: 875-889 - Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti:
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification. MLDM (2) 2019: 890-900 - Rashmi Gupta, Cathal Gurrin:
Dynamic Segmentation and Retrieval of Daily Life Activities from Multimodal Lifelogs. MLDM (2) 2019: 901-915 - Neha Gupta, Purushothaman Ethiraj:
Evaluation of ARIMA, LSTM and Hybrid models for Multi-Step ahead Forecasting. MLDM (2) 2019: 916-933
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