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14th 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 I. ibai Publishing 2019, ISBN 978-3-942952-62-0 - Hatem M. Elsherif, Khaled Mohammad Alomari, Ahmad Qasim Mohammad AlHamad, Khaled Shaalan:
Arabic Rule-based Named Entity Recognition System Using GATE. MLDM (1) 2019: 1-15 - Hang Shi, Chengjun Liu:
An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis. MLDM (1) 2019: 16-27 - Francielle M. Nascimento, Dante A. C. Barone, Henrique Carlos de Castro:
Social Activism Analysis: An Application of Machine Learning in the World Values Survey. MLDM (1) 2019: 28-38 - Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos:
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels. MLDM (1) 2019: 39-48 - Jose Guillermo Guarnizo, Luis Fernando Niño:
Clonal Selection Algorithm Applied to Object Recognition in Mobile Robots. MLDM (1) 2019: 49-62 - Nidhi Gupta, Pushpraj Bhatele, Pritee Khanna:
Customized use of Expectation Maximization for Glioma Identication from Brain MRIs. MLDM (1) 2019: 63-77 - Hua Zhao, Fairouz Kamareddine:
A Novel Phonetic Algorithm for Predicting Chinese Names using Chinese Pin Yin. MLDM (1) 2019: 78-92 - Junmei Zhong, William Li:
Detecting Customer Churn Signals for Telecommunication Industry Through Analyzing Phone Call Transcripts with Recurrent Neural Networks. MLDM (1) 2019: 93-103 - Milan Cisty, Frantisek Cyprich, Veronika Soldanova:
A comparison of linear and machine learning models for the simulation of soil moisture. MLDM (1) 2019: 104-116 - Mohammad O. Faruque, Hadi Ghahremannezhad, Chengjun Liu:
Vehicle Classication in Video Using Deep Learning. MLDM (1) 2019: 117-131 - Iago Richard Rodrigues Silva, Marília Nayara Clemente de Almeida Lima, Wellington Pinheiro dos Santos, Roberta Andrade de Araújo Fagundes:
A Model for Diagnosis of Alzheimer's Disease Using Haralick Texture Features and Meta Feature Selection. MLDM (1) 2019: 132-145 - Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria:
Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game. MLDM (1) 2019: 146-160 - Eric L. Goodman, Chase Zimmerman, Corey Hudson:
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data. MLDM (1) 2019: 161-175 - Dieinison Jack Freire Braga, Leodécio Braz S. S., Críston Pereira de Souza, Ticiana L. Coelho da Silva:
Handbags Classication Model via Deep Learning. MLDM (1) 2019: 176-187 - Zhengyong Jiang, Frans Coenen:
Long Short-Term Memory-based Multi-Period Price Prediction for Portfolio Management. MLDM (1) 2019: 187-200 - Luciano Carli Moreira de Andrade, André C. P. L. F. de Carvalho:
Fraud Detection Using Explainable Machine Learning Algorithms. MLDM (1) 2019: 201-215 - Xiaochun Wang, Xia Li Wang, Xuan Xiong Lin:
A Fast AEMST Algorithm for High-Dimensional Datasets by Removing Redundant Distance Computation. MLDM (1) 2019: 216-228 - Mythili Krishnan, Madhan Kumar Srinivasan:
Server Failure Prediction Framework for IT Infrastructure Supporting Critical Applications. MLDM (1) 2019: 229-242 - Aozhong Wang, Xiaochun Wang, Xia Li Wang:
A New Minimum Spanning Tree Algorithm Constructed in A Backward Fashion. MLDM (1) 2019: 243-254 - Tahsinur Rahman, Aniqa Zaida Khanom, Sheikh Mastura Farzana, Sharowar Md. Shahriar Khan, Md. Ashraful Alam:
Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications. MLDM (1) 2019: 255-269 - Nada Almugren, Hala M. Alshamlan:
FF-SVM: New FireFly-based Gene Selection Algorithm for Microarray Cancer Classification. MLDM (1) 2019: 270-281 - Xiaochun Wang, Xia Li Wang, Xuan Xiong Lin:
Fast K-medoids Clustering Algorithm Using Triangle Inequality. MLDM (1) 2019: 282-295 - Hyun-chul Chang, Sungbum Park:
Design and Implementation of an Intrusion Detection System using Deep Neural Network. MLDM (1) 2019: 296-303 - Pradumn Kumar Pandey, T. Ramalingeswara Rao, Satyajeet Maharana:
Community detection in networks with fuzzy boundaries. MLDM (1) 2019: 304-318 - Terry N. Guo, Animesh Dahal, Ambareen Siraj:
Precise Feature Selection and Case Study of Intrusion Detection in an Industrial Control System (ICS) Environment?. MLDM (1) 2019: 319-332 - Adison Khomprasert, Thanawin Rakthanmanon, Kitsana Waiyamai:
Entropy-based Approach for Parameter-free Attribute Clustering. MLDM (1) 2019: 333-342 - Kevin Stower, Dirk Krechel:
Seq2SQL - Evaluating Different Deep Learning Architectures Using Word Embeddings. MLDM (1) 2019: 343-354 - Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge:
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. MLDM (1) 2019: 355-366 - Qing Chen, Mingxuan Sun, Jian Zhang:
Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets. MLDM (1) 2019: 367-381 - Bruno Marques, Dante Barone:
Explainable Artificial Intelligence for Match Analysis in Association Football. MLDM (1) 2019: 382-391 - Leeanne Lindsay, Sonya Coleman, Brian Taylor, Dermot Kerr, Anne Moorhead:
Using Machine Learning Algorithms to Predict the Likelihood of Recurrent Falls in Older Adults. MLDM (1) 2019: 392-396 - Lee A. Carraher, Sayantan Dey, Philip A. Wilsey:
Tree Based Clustering On Large, High Dimensional Datasets?. MLDM (1) 2019: 397-411 - Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk:
Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization. MLDM (1) 2019: 412-430
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