MLDM

Keyphrases

Publications

2017

Francky Fouedjio
A Spectral Clustering Method for Large-Scale Geostatistical Datasets. MLDM (2017)
Xiaobu Yuan, Manpreet Kaler, Vijaya Mulpuri
Personalized Visualization Based upon Wavelet Transform for Interactive Software Customization. MLDM (2017)
Witold Dzwinel, Rafal Wcislo
ivhd: A Robust Linear-Time and Memory Efficient Method for Visual Exploratory Data Analysis. MLDM (2017)
Yacine Abboud, Anne Boyer, Armelle Brun
CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm. MLDM (2017)
Dymitr Ruta, Ling Cen, Ernesto Damiani
Summarization-Guided Greedy Optimization of Machine Learning Model. MLDM (2017)
Julio De Melo Borges, Martin Alexander Neumann, Christian Bauer, Yong Ding, Till Riedel, Michael Beigl
Predicting Target Events in Industrial Domains. MLDM (2017)
Turki Turki, Jason Tsong-Li Wang
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM (2017)
Arthur Huang, David Ebert, Parker Rider
You Are What You Tweet: A New Hybrid Model for Sentiment Analysis. MLDM (2017)
Yoshiaki Okubo, Makoto Haraguchi
Mining Frequent Closed Set Distinguishing One Dataset from Another from a Viewpoint of Structural Index. MLDM (2017)
Carolina Medeiros Carvalho, Flávio Luiz Seixas, Aura Conci, Débora Christina Muchaluat-Saade, Jerson Laks
Improving a Bayesian Decision Model for Supporting Diagnosis of Alzheimer's Disease and Related Disorders. MLDM (2017)
Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. MLDM (2017)
Alexandros Nathan, Diego Klabjan
Optimization for Large-Scale Machine Learning with Distributed Features and Observations. MLDM (2017)
Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig
Machine Learning-as-a-Service and Its Application to Medical Informatics. MLDM (2017)
Vahid Behzadan, Arslan Munir
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks. MLDM (2017)
Ruth M. Ogunnaike, Dong Si
Prediction of Insurance Claim Severity Loss Using Regression Models. MLDM (2017)
Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa
Detecting Large Concept Extensions for Conceptual Analysis. MLDM (2017)
Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh
Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display. MLDM (2017)
Rekar O. Mohammed, Gavin C. Cawley
Over-Fitting in Model Selection with Gaussian Process Regression. MLDM (2017)
Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B. MLDM (2017)
R. Prashanth, K. Deepak, Amit Kumar Meher
High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry. MLDM (2017)
Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross
An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity. MLDM (2017)
Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie
Clustering Aided Support Vector Machines. MLDM (2017)
Richard Neuberg, Yixin Shi
Detecting Relative Anomaly. MLDM (2017)
Georgios Th. Papadopoulos, Petros Daras
Global Flow and Temporal-Shape Descriptors for Human Action Recognition from 3D Reconstruction Data. MLDM (2017)
Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. MLDM (2017)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Mobile Robot Localization via Machine Learning. MLDM (2017)
Paul Fomenky, Alfred G. Noël, Dan A. Simovici
Mining Player Ranking Dynamics in Team Sports. MLDM (2017)
Christophe Dupuy, Francis R. Bach, Christophe Diot
Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA. MLDM (2017)
Youngha Hwang, Saul B. Gelfand
Sparse Dynamic Time Warping. MLDM (2017)
Nathaniel Grabaskas, Dong Si
Anomaly Detection from Kepler Satellite Time-Series Data. MLDM (2017)
Ziyuan Lin, Jaakko Peltonen
An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views. MLDM (2017)

volume 10358, 2017

Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings MLDM 10358 (2017)

2016

volume 9729, 2016

Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings MLDM 9729 (2016)