Abstract is missing.
- MaxMin Linear Initialization for Fuzzy C-MeansAybüke Öztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman. 1-15 [doi]
- Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal AnalysisValentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov. 16-27 [doi]
- Social Media Sentiment Analysis Based on Domain Ontology and Semantic MiningDaoping Wang, Liangyue Xu, Amjad Younas. 28-39 [doi]
- Mining Associations in Large Graphs for Dynamically Incremented Marked NodesAnshul Rai, Zackary Crosley, Srivignessh Pacham Sri Srinivasan. 40-48 [doi]
- A New Global Foreground Modeling and Local Background Modeling Method for Video AnalysisHang Shi, Chengjun Liu. 49-63 [doi]
- A Deep Learning Based Automatic Severity Detector for Diabetic RetinopathyRawan AlSaad, Somaya Al-Máadeed, Md. Abdullah al Mamun, Sabri Boughorbel. 64-76 [doi]
- Compact Representation of Documents Using Terms and TermsetsDima Badawi, Hakan Altinçay. 77-84 [doi]
- PATENet: Pairwise Alignment of Time Evolving NetworksShlomit Gur, Vasant G. Honavar. 85-98 [doi]
- Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural NetworkIn-Cheol Kim, George R. Thoma. 99-112 [doi]
- Hierarchical Bayesian Classifier CombinationMohammad Ghasemi Hamed, Ahmad Akbari. 113-125 [doi]
- Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression StrengthManoel Alves de Almeida Neto, Roberta de Andrade de A. Fagundes, Carmelo J. A. Bastos Filho. 126-137 [doi]
- Automated Contradiction Detection in Biomedical LiteratureNoha S. Tawfik, Marco R. Spruit. 138-148 [doi]
- Following the Common Thread Through Word HierarchiesMatthias J. Feiler. 149-158 [doi]
- Document Clustering Using Local and Universal KnowledgeKazem Qazanfari, Abdou Youssef. 159-173 [doi]
- Tweet Classification Using Sentiment Analysis Features and TF-IDF Weighting for Improved Flu Trend DetectionAli Al Essa, Miad Faezipour. 174-186 [doi]
- Adaptive Adjacency Kanerva Coding for Memory-Constrained Reinforcement LearningWei Li, Waleed Meleis. 187-201 [doi]
- Predicting Drug Target Interactions Based on GBDTJiyun Chen, Jihong Wang, Xiaodan Wang, Yingyi Du, HuiYou Chang. 202-212 [doi]
- From Black-Box to White-Box: Interpretable Learning with Kernel MachinesHao Zhang, Shinji Nakadai, Kenji Fukumizu. 213-227 [doi]
- A Two-List Framework for Accurate Detection of Frequent Items in Data StreamsDavid Vengerov. 228-243 [doi]
- Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in HealthcareShruti Kaushik, Abhinav Choudhury, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt. 244-258 [doi]
- A Comparative Study to the Bank Market PredictionSoumadip Ghosh, Arnab Hazra, Bikramjit Choudhury, Payel Biswas, Amitava Nag. 259-268 [doi]
- Deep Metric Learning for Sequential Data Using Approximate InformationStefan Thaler, Vlado Menkovski, Milan Petkovic. 269-282 [doi]
- Machine Learning Applied to Point-of-Sale Fraud DetectionChristine Hines, Abdou Youssef. 283-295 [doi]
- Prefix and Suffix Sequential Pattern MiningRina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle. 296-311 [doi]
- Long Short-Term Memory Recurrent Neural Network for Stroke PredictionPattanapong Chantamit-o-pas, Madhu Goyal. 312-323 [doi]
- Adversarial Machine Learning: A Literature ReviewSam Thomas, Nasseh Tabrizi. 324-334 [doi]
- Reverse Engineering Gene Regulatory Networks Using Graph MiningHaodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang. 335-349 [doi]
- Spammer Detection via Combined Neural NetworkWeiping Pei, Youye Xie, Gongguo Tang. 350-364 [doi]
- Pedestrian Detection: Performance Comparison Using Multiple Convolutional Neural NetworksMeenu Ajith, Aswathy Rajendra Kurup. 365-379 [doi]
- Automated Machine Learning Algorithm Mining for Classification ProblemMeng-Sung Wu, Jun-Yi Lu. 380-392 [doi]
- Enhancing Outlier Detection by an Outlier IndicatorXiaqiong Li, Xiaochun Wang, Xia Li Wang. 393-405 [doi]
- A Semi-supervised Approach to Discover Bivariate Causality in Large Biological DataNataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, Jean-Daniel Zucker. 406-420 [doi]
- Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval QuantizationNataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker. 421-435 [doi]
- A New Approach for Tuned Clustering AnalysisRoni Ben Ishay, Maya Herman, Chaim Yosefi. 436-452 [doi]