MLDM (2)

Publications

2019

Thaciana G. O. Cerqueira, Leandro Balby Marinho, Franklin Ramalho
Feature Evaluation for Project Preferences Representation in GitHub. MLDM (2) (2019)
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)
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)
Yi Wei, Vipin Chaudhary
The Representation of Wave Trend Direction in Stock Price Time Series via RNN. MLDM (2) (2019)
Rashmi Gupta, Cathal Gurrin
Dynamic Segmentation and Retrieval of Daily Life Activities from Multimodal Lifelogs. MLDM (2) (2019)
Yahia Saeed Assiri
Stochastic Optimization of Plain Convolutional Neural Networks with Simple Methods. MLDM (2) (2019)
Luigi Freitas Cruz, Priscila Tiemi Maeda Saito, Pedro Henrique Bugatti
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification. MLDM (2) (2019)
Sergey Gavrin, Damir Murzagulov, Alexander Zamyatin
Anomaly Detection in Process Signals within Machine Learning and Data Augmentation Approach*. MLDM (2) (2019)
Liang Dai, Ram Akella
Lifetime reward optimization for online ads experiment. MLDM (2) (2019)
Saman Muthukumarana, Ninad Khargonkar
Modeling and Simulation of UEFA Champions League. MLDM (2) (2019)
Ivelize R. Bernardo, Hélio Pedrini, André Santanchè
Annotating Biodiversity Spreadsheets through 5W1H based on Machine Learning. MLDM (2) (2019)
Katherina Meißner, Julia Rieck
Data Mining Framework to Derive Measures for Road Safety. MLDM (2) (2019)
Jadisha Yarif Ramírez Cornejo, Hélio Pedrini
Dynamic Facial Expression Recognition Based on Visual Rhythms and Motion History Images. MLDM (2) (2019)
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)
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)
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)
Eric L. Goodman, Dirk Grunwald
A Streaming Analytics Language for Processing Cyber Data. MLDM (2) (2019)
R. Prashanth
Semantic similarity estimation for domain speci?c data using BERT and other techniques. MLDM (2) (2019)
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)
Zhendong Liu, Gang Li, Patrick Wang
The Computing Algorithm of Barrier Tree Based on the Basin Hopping Graph in RNA Structure. MLDM (2) (2019)
Yibo Zhao, Jin Cao, Ran He
Two-Sample Tests for High Dimensional Distributions Using One-Dimensional Random Projections. MLDM (2) (2019)
Neha Gupta, Purushothaman Ethiraj
Evaluation of ARIMA, LSTM and Hybrid models for Multi-Step ahead Forecasting. MLDM (2) (2019)
Reham M. Alamro, Abdou S. Youssef
Data Reduction Effects on Classification Accuracy and Training Time. MLDM (2) (2019)
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)
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)
Eura Shin, Samuel Berglin, Jacob D. Furst, Daniela Raicu
Expanding annotated data with informed labels for weak supervision. MLDM (2) (2019)
Chen Avni, Maya Herman
Edge Detection Using K-means and Run-Based Two-Scan Connected Components labeling adapted for grayscale images. MLDM (2) (2019)
Roman A. Sizov, Dan A. Simovici
On the Vapnik-Chervonenkis Dimension of Binary Tables. MLDM (2) (2019)
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)
Artyom Diky, Robert M. Haralick
Topological Structure of Linear Manifold Clustering. MLDM (2) (2019)
João Holanda Freires Junior, José Antônio Fernandes de Macêdo, Igo Ramalho Brilhante
SumOpinions: Automatic Summarization of Reviews about Tourist Places. MLDM (2) (2019)
Youngha Hwang, Saul B. Gelfand
Binary Sparse Dynamic Time Warping. MLDM (2) (2019)
Dan Lemberg, Zeev Volkovich
A "Sentimental Analysis" of Computer-Generated Papers. MLDM (2) (2019)
Kazim Sekeroglu, Ömer Muhammet Soysal, Xin Li
Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. MLDM (2) (2019)
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 MLDM (2) (2019)
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)
Wenqing He, Grace Y. Yi, Li-Pang Chen
Support Vector Machine with Graphical Network Structures in Features. MLDM (2) (2019)
Zhan Li, Li Chen, Guan Wng, Feng Zeng, Yun Zhang
Ontology-based Neural Network for Energy Optimization in Data Centers. MLDM (2) (2019)
Hao Huang, Shinjae Yoo, Yunwen Xu
Failure Analysis on Multivariate Time-series Data given Uncertain Labels. MLDM (2) (2019)

2018

volume 10935, 2018

Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II MLDM (2) 10935 (2018)