ICMLA (1)

Publications

2013

A. Fatholahzadeh
Ordered Segment for Classification of Big Data. ICMLA (1) (2013)
Zhiguo Yu, Todd R. Johnson, Ramakanth Kavuluru
Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine. ICMLA (1) (2013)
Nagehan Ilhan, Sule Gündüz Ögüdücü
Community Event Prediction in Dynamic Social Networks. ICMLA (1) (2013)
Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu
Empirical Evaluation of Profile Characteristics for Gender Classification on Twitter. ICMLA (1) (2013)
Richard E. Edwards, Hao Zhang, Lynne E. Parker, Joshua R. New
Approximate l-Fold Cross-Validation with Least Squares SVM and Kernel Ridge Regression. ICMLA (1) (2013)
Eric V. Strobl, Shyam Visweswaran
Deep Multiple Kernel Learning. ICMLA (1) (2013)
Chirine Wolley, Mohamed Quafafou
Scalable Expert Selection When Learning from Noisy Labelers. ICMLA (1) (2013)
Shintaro Miyamoto, Takaaki Matsumoto, Koichi Yonemoto
Dynamic Distributed Genetic Algorithm Using Hierarchical Clustering for Flight Trajectory Optimization of Winged Rocket. ICMLA (1) (2013)
Davi C. de L. Vieira, Paulo J. L. Adeodato, Paulo M. Goncalves Junior
A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments. ICMLA (1) (2013)
Shashank Srikant, Varun Aggarwal
Automatic Grading of Computer Programs: A Machine Learning Approach. ICMLA (1) (2013)
Kaveh Hassani, Won-Sook Lee
An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data. ICMLA (1) (2013)
William Sause
Coordinated Reinforcement Learning Agents in a Multi-agent Virtual Environment. ICMLA (1) (2013)
Taher A. Dameh, Wael Abd-Almageed, Mohamed Hefeeda
Distributed Kernel Matrix Approximation and Implementation Using Message Passing Interface. ICMLA (1) (2013)
Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, David Schum
How Learning Enables Intelligence Analysts to Rapidly Develop Practical Cognitive Assistants. ICMLA (1) (2013)
Marian George, Nagia M. Ghanem, Mohamed A. Ismail
Learning-Based Incremental Creation of Web Image Databases. ICMLA (1) (2013)
Claudio Saccà, Michelangelo Diligenti, Marco Gori
Collective Classification Using Semantic Based Regularization. ICMLA (1) (2013)
Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten
Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk. ICMLA (1) (2013)
Muhammad Shaheryar, Mehrosh Khalid, Ali Mustafa Qamar
Rot-SiLA: A Novel Ensemble Classification Approach Based on Rotation Forest and Similarity Learning Using Nearest Neighbor Algorithm. ICMLA (1) (2013)
I. Chebil, Mohamed Elati, Céline Rouveirol, G. Santini
SetNet: Ensemble Method Techniques for Learning Regulatory Networks. ICMLA (1) (2013)
Maxim Buzdalov, Arina Buzdalova, Anatoly Shalyto
A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning. ICMLA (1) (2013)
Olivier Fercoq
Parallel Coordinate Descent for the Adaboost Problem. ICMLA (1) (2013)
Dave DeBarr, Hao Sun, Harry Wechsler
Adversarial Spam Detection Using the Randomized Hough Transform-Support Vector Machine. ICMLA (1) (2013)
Hao Zhang, Scott C. Lenaghan, Michelle H. Connolly, Lynne E. Parker
Zebrafish Larva Locomotor Activity Analysis Using Machine Learning Techniques. ICMLA (1) (2013)
Manus Ross, Corey A. Graves, John W. Campbell, Jung H. Kim
Using Support Vector Machines to Classify Student Attentiveness for the Development of Personalized Learning Systems. ICMLA (1) (2013)
Cailing Dong, Bin Zhou
An Ensemble Learning Framework for Online Web Spam Detection. ICMLA (1) (2013)
Geeta Aggarwal, Neelima Gupta
BEMI Bicluster Ensemble Using Mutual Information. ICMLA (1) (2013)
Wenya Feng, Yilin Guo, Xiaoyu Shi, Yonggan Hou
Natural Image Segmentation Based on Precise Edge Detection. ICMLA (1) (2013)
Mingon Kang, Shuo Li, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao
eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis. ICMLA (1) (2013)
Carlos A. Quintero, Fernando Lozano
Locally Linear Minimum Spanning Trees for Manifold Learning. ICMLA (1) (2013)
Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah
Mining Biomedical Ontologies and Data Using RDF Hypergraphs. ICMLA (1) (2013)
Rui Guo, Hairong Qi
Partially-Sparse Restricted Boltzmann Machine for Background Modeling and Subtraction. ICMLA (1) (2013)
Fernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong
Hybrid Ontology-Based Information Extraction for Automated Text Grading. ICMLA (1) (2013)
Juan Mantilla, Mireille Garreau, Jean-Jacques Bellanger, José Luis Paredes
Machine Learning Techniques for LV Wall Motion Classification Based on Spatio-temporal Profiles from Cardiac Cine MRI. ICMLA (1) (2013)
Guang Chen, Feihu Zhang, Daniel Clarke, Alois C. Knoll
Learning to Track Multi-target Online by Boosting and Scene Layout. ICMLA (1) (2013)
Claudio Saccà, Michelangelo Diligenti, Marco Gori
Graph and Manifold Co-regularization. ICMLA (1) (2013)
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
Learning Decision Trees from Uncertain Data with an Evidential EM Approach. ICMLA (1) (2013)
Salaheddin Alakkari, John James Collins
Eigenfaces for Face Detection: A Novel Study. ICMLA (1) (2013)
Rosalia Maglietta, Nicola Amoroso, Stefania Bruno, Andrea Chincarini, Giovanni B. Frisoni, Paolo Inglese, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
Random Forest Classification for Hippocampal Segmentation in 3D MR Images. ICMLA (1) (2013)
Jürgen Wiest, Felix Kunz, Ulrich Kressel, Klaus Dietmayer
Incorporating Categorical Information for Enhanced Probabilistic Trajectory Prediction. ICMLA (1) (2013)
Dingsheng Luo, Yi Wang, Xihong Wu
Discriminative Apprenticeship Learning with Both Preference and Non-preference Behavior. ICMLA (1) (2013)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research. ICMLA (1) (2013)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu
A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. ICMLA (1) (2013)
12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1 ICMLA (1) (2013)
Saeed Mehrabi, Anand Krishnan, Eric Tinsley, Jon Sligh, Natalie Crohn, Heather Bush, Jason Depasquale, Jean Bandos, Mathew Palakal
Event Causality Identification Using Conditional Random Field in Geriatric Care Domain. ICMLA (1) (2013)
Simone Filice, Danilo Croce, Roberto Basili, Fabio Massimo Zanzotto
Linear Online Learning over Structured Data with Distributed Tree Kernels. ICMLA (1) (2013)
Bernard Chen, Cody Hudson, Aaron Crawford, Minwoo Kim
Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model. ICMLA (1) (2013)
Jose Hurtado, Napat Taweewitchakreeya, Xue Kong, Xingquan Zhu
A Classifier Ensembling Approach for Imbalanced Social Link Prediction. ICMLA (1) (2013)
Arne Rost, Stephan Schadle
The SLS-Generated Soft Robotic Hand - An Integrated Approach Using Additive Manufacturing and Reinforcement Learning. ICMLA (1) (2013)
Omar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo
Affect Detection and Classification from the Non-stationary Physiological Data. ICMLA (1) (2013)
Matt K. Smith, Charles C. Castello, Joshua R. New
Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies. ICMLA (1) (2013)