Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic Scholar14th MLDM 2018: New York, NY, USA
Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10935, Springer 2018, ISBN 978-3-319-96132-3- Catherine Inibhunu, Carolyn McGregor:
Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data. 1-15 - John Alexander Velandia, Gustavo Pérez, Holman Bolívar Barón:
Fuzzy Networks Model, a Reliable Adoption in Corporations. 28-41 - Renata Avros, Zeev Volkovich:
Detection of Computer-Generated Papers Using One-Class SVM and Cluster Approaches. 42-55 - Vahid Golderzahi, Hsing-Kuo Pao:
Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting. 56-71 - Erkan Cetiner, Vehbi Cagri Gungor, Taskin Koçak:
Evaluation of Hybrid Classification Approaches: Case Studies on Credit Datasets. 72-86 - Semih Dinç, Babak Rahbarinia, Luis Cueva-Parra:
An Efficient Two-Layer Classification Approach for Hyperspectral Images. 87-102 - Lorenzo Putzu, Luca Piras, Giorgio Giacinto:
Ten Years of Relevance Score for Content Based Image Retrieval. 117-131 - Benoit Potvin, Roger Villemaire:
When Different Is Wrong: Visual Unsupervised Validation for Web Information Extraction. 132-146 - Xia Li Wang, Xiaochun Wang:
An Efficient Approximate EMST Algorithm for Color Image Segmentation. 147-159 - Qumar Ibrahim, Md. Tanwir Uddin Haider:
Personalized Blended E-learning System Using Knowledge Base Approach Based on Information Processing Speed Cognitive. 160-167 - Pradeep Kumar Roy, Jyoti Prakash Singh:
A Tag2Vec Approach for Questions Tag Suggestion on Community Question Answering Sites. 168-182 - Bernhard Gahr, Benjamin Ryder, André Dahlinger, Felix Wortmann:
A Crowd Sensing Approach to Video Classification of Traffic Accident Hotspots. 183-197 - Shwet Mani, Sneha Kumari, Ayushi Jain, Prabhat Kumar:
Spam Review Detection Using Ensemble Machine Learning. 198-209 - Johannes Villmow, Marco Wrzalik, Dirk Krechel:
Automatic Keyphrase Extraction Using Recurrent Neural Networks. 210-217 - Aisyah Mat Jasin, Daniel Neagu, Attila Csenki:
The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model. 218-230 - Rafaella Leandra Souza do Nascimento, Ricardo Batista das Neves Junior, Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes:
Educational Data Mining: An Application of Regressors in Predicting School Dropout. 246-257 - Alexander V. Bernstein, Evgeny Burnaev, O. N. Kachan:
Reinforcement Learning for Computer Vision and Robot Navigation. 258-272 - Xia Li Wang, Xiaochun Wang, Xiaqiong Li:
A Fast Two-Level Approximate Euclidean Minimum Spanning Tree Algorithm for High-Dimensional Data. 273-287 - Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger:
Rule Induction Partitioning Estimator - A New Deterministic Algorithm for Data Dependent Partitioning Estimate. 288-301 - Belkacem Chikhaoui, Frank Gouineau, Martin Sotir:
A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors. 302-315 - Michael Feffer, Ognjen (Oggi) Rudovic, Rosalind W. Picard:
A Mixture of Personalized Experts for Human Affect Estimation. 316-330 - Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Learning to Rank and Discover for E-Commerce Search. 331-346 - Ebtesam H. Almansor, Ahmed Al-Ani:
A Hybrid Neural Machine Translation Technique for Translating Low Resource Languages. 347-356 - Sayan Unankard:
Prediction of Re-tweeting Activities in Social Networks Based on Event Popularity and User Connectivity. 357-368 - Milan Cisty, Veronika Soldanova:
Flow Prediction Versus Flow Simulation Using Machine Learning Algorithms. 369-382 - Zheng-Yin Hu, Rong-Qiang Zeng, Xiao-Chu Qin, Ling Wei, Zhiqiang Zhang:
A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells. 383-393 - Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov:
Constrained Regularized Regression Model Search in Large Sets of Regressors. 394-408 - Zhiwei (Tony) Qin, Chengxiang Zhuo, Wei Tan, Jun Xie, Jieping Ye:
Large-Scale Targeted Marketing by Supervised PageRank with Seeds. 409-424 - J. T. Rigsby, Daniel Barbará:
Storytelling with Signal Injection: Focusing Stories with Domain Knowledge. 425-439 - Pradeep Kumar Roy, Jyoti Prakash Singh, Amitava Nag:
Finding Active Expert Users for Question Routing in Community Question Answering Sites. 440-451 - Jatin Bedi, Durga Toshniwal:
Parallel Framework for Unsupervised Classification of Seismic Facies. 452-467 - Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa:
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. 468-482
maintained by 
, founded at 
, founded at 
last updated on 2019-02-18 22:20 CET by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
