The following papers were accepted to the Main Conference, Special Sessions and Workshops.
To access your submitted paper and reviews follow the following link: Accepted Papers
Main Conference Statistics
- Received papers: 133
- Accepted as regular papers: 35 (26%)
- Accepted as poster presentation: 46 (35%)
- Rejected: 39 (29%)
- Canceled: 13 (10%)
Ensemble Based Methods I
- Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views Adrian Rosebrock*, UMBC; Tim Oates, ; Jesus Caban,
- An Empirical Comparison of Spectral Learning Methods for Classification Adam Drake, ; Dan Ventura*, Brigham Young University
- A Unified View of Informative Projection Retrieval Madalina Fiterau*, Carnegie Mellon University; Artur Dubrawski, Carnegie Mellon University
- Locally Linear Minimum Spanning Trees for Manifold Learning Carlos Quintero*, Universidad Santo Tomas; Fernando Lozano, Universidad de los Andes
Ensemble Based Methods II
- Improving Software Quality Estimation by Combining Boosting and Feature Selection Kehan Gao, "Eastern Connecticut State University, USA"; Taghi Khoshgoftaar*, Florida Atlantic University; Amri Napolitano, "Florida Atlantic University, USA"
- SETNET: Ensemble Method techniques for Learning Regulatory Networks Ines Chebil*, LIPN; Mohamed Elati, Genopole; Guillaume Santini, LIPN; Celine Rouveirol, University of Paris Nord
- An Ensemble Learning Framework for Online Web Spam Detection Cailing Dong, UMBC; Bin Zhou*, UMBC
- RotSiLA: A Novel Ensemble Classification approach based on Rotation Forest and Similarity Learning using Nearest Neighbor Algorithm Muhammad Shaheryar*, NUST; Mehrosh Khalid, SEECS, NUST; ALI QAMAR, SEECS, NUST
Kernel Based Methods
- Distributed Kernel Matrix Approximation and Implementation Using MPI Taher Dameh*, Simon Fraser University
- Approximate l-fold Cross-Validation with Least Sqaures SVM and Kernel Ridge Regression Richard Edwards*, University of Tennessee; Hao Zhang, University of Tennessee; Lynne Parker, University of Tennessee; Joshua New, Oak Ridge National Laboratory
- Multi-modal tree-based SVM classification Cecille Freeman*, University of Waterloo; Dana Kulic, University of Waterloo; Otman Basir, University of Waterloo
- KERNEL SODA: A FEATURE REDUCTION TECHNIQUE USING KERNEL BASED ANALYSIS Yinan Yu*, Chalmers Uni. of Tech.; Tomas McKelvey, Chalmers University of Technology; S.Y. Kung, Princeton University
Supervised Learning Methods I
- INDiC: Improved Non-Intrusive load monitoring using load Division and Calibration Nipun Batra*, IIIT Delhi; Haimonti Dutta, ; Amarjeet Singh,
- Automatic Grading of Computer Programs : A Machine Learning Approach SHASHANK SRIKANT*, ASPIRING MINDS; VARUN AGGARWAL, ASPIRING MINDS
- Empirical Co-occurrence Rate Networks For Structured Prediction Zhemin Zhu*, University of Twente; Djoerd Hiemstra , University of Twente; Peter Apers, University of Twente; Andreas Wombacher , University of Twente
- Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps Diego Silva*, ICMC - USP; Vinicius Souza, ICMC - USP; Gustavo Batista, "University of Sao Paulo, Brazil"; Eamonn Keogh, UCR - Riverside
Supervised Learning Methods II
- Learning from Multiple Graphs using a Sigmoid Kernel Thomas Ricatte*, SAP Research; Gemma Garriga, inria.fr; Marc Tommasi, inria.fr; Rémi Gilleron, inria.fr
- How Learning Enables Intelligence Analysts to Rapidly Develop Practical Cognitive Assistants Gheorghe Tecuci*, George Mason University; Mihai Boicu, George Mason University; Dorin Marcu, George Mason University; David Schum, George Mason University
- A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures Nicolas Cheifetz*, IFSTTAR; Allou Samé, ; Patrice Aknin, ; Emmanuel de Verdalle, Transdev; Damien Chenu, Veolia
- Linear Online Learning over Structured Data Simone Filice*, University of Roma Tor Vergata; Danilo Croce, University of Roma Tor Vergata; Roberto Basili, "University of Roma, Tor Vergata, Italy"; Fabio Massimo Zanzotto, University of Roma Tor Vergata
Machine Learning in Bioinformatics and Computational Biology I
- eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis Mingon Kang*, UT Arlington; Shuo Li, University of Texas at Arlington; Dong-Chul Kim, University of Texas at Arlington; Jean Gao, University of Texas at Arlington
- Blood Glucose Level Prediction using Physiological Models and Support Vector Regression Razvan Bunescu*, Ohio University; Nigel Struble, Ohio University; Cindy Marling, Ohio University; Jay Shubrook, Ohio University; Frank Schwartz, Ohio University
- Mining Biomedical Ontologies and Data Using Hypergraphs Haishan Liu*, University of Oregon; Dejing Dou, "University of Oregon, USA"; Paea LePendu, ; Nigam Shah, Stanford University; Ruoming Jin, Kent State University
- Multi-component LVR, A Fast Latent Variable Regression Framework for Quantitative Analysis of Surface-enhanced Raman Spectra (SERS) Shuo Li*, University of Texas at Arlington; James Nyagilo, Bioengineering Department, The University of Texas at Arlington; Digant Dave, Bioengineering Department, The University of Texas at Arlington; Jean Gao, University of Texas at Arlington
Machine Learning in Bioinformatics and Computational Biology II
- A Comparative Study of Food Intake Detection Using Artificial Neural Network and Support Vector Machine Muhammad Farooq, The University of Alabama; Juan M. Fontana, The University of Alabama; Akua F. Boateng, Purdue University ; Megan A. McCrory, Purdue University ; Edward Sazonov*, The University of Alabama
- Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research Taghi Khoshgoftaar*, Florida Atlantic University; David Dittman, Florida Atlantic University; Randall Wald, Florida Atlantic University, USA; Amri Napolitano, "Florida Atlantic University, USA"
- Zebrafish Larva Locomotor Activity Analysis Using Machine Learning Techniques Hao Zhang*, University of Tennessee; Scott Lenaghan, University of Tennessee; Michelle Connolly, University of Tennessee; Lynne Parker, University of Tennessee
- Machine learning techniques for LV wall motion classification based on spatio-temporal profiles from cardiac cine MRI Juan Mantilla*, Université de Rennes 1; Mireille Garreau, Université de Rennes 1; Jean Bellanger, Université de Rennes 1; José Paredes, Universidad de Los Andes
Clustering
- Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models Bernard Chen*, University of Central Arkansas; Cody Hudson, University of Central Arkansas
- A Latent Semantic Approach to XML Clustering by Content and Structure based on Non-negative Matrix Factorization Gianni Costa*, ICAR-CNR; Riccardo Ortale, ICAR-CNR
- Terrain Classification for a Quadruped Robot Jonas Degrave*, Ghent University; Robin Van Cauwenbergh, Ghent University; Francis wyffels, Ghent University; Tim Waegeman, Ghent University; Benjamin Schrauwen, Ghent University
Machine Learning and Applications
- Community Event Prediction in Dynamic Social Networks Nagehan Ilhan*, ITU; Sule Gunduz Oguducu,
- Learning to Track Multi-Target Online by Boosting and Scene Layout Guang Chen*, Technische Universität München; Zhang Feihu, ; Christian Buckl, ; Alois Knoll,
- A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning Maxim Buzdalov*, University ITMO; Arina Buzdalova, University ITMO; Anatoly Shalyto, University ITMO
- Partially-sparse Restricted Boltzmann Machine for Background Modeling and Subtraction Rui Guo*, University of Tennessee; Hairong Qi, University of Tennessee
02. Special Session: Adaptive and Dynamic Modelling in Non stationary Environments
Statistics:
- Received papers: 8
- Accepted as regular papers: 5 (62.5%)
- Accepted as poster presentation: 0 (0%)
- Rejected: 2 (25%)
- Canceled: 1 (20%)
Papers:
- Generalized FLEXible Fuzzy Inference Systems Edwin Lughofer ("University of Linz, Austria")
- Design of chaos-based communication system with use of the Derivative-free nonlinear Kalman Filter Gerasimos Rigatos (Industrial Systems Institute)
- Evolving Dynamic Forecasting Model for Foreign Currency Exchange Rates using Plastic Neural Networks Gul Muhammad Khan (UET Peshawar)
- Stable On-Line Learning with Optimized Local Learning, But Minimal Change of the Global Output Andreas Buschermöhle (University of Osnabrück)
- On-line Incremental Learning for Unknown Conditions during Assembly Operations with Robots Ismael Lopez (CINVESTAV, Mexico)
03. Special Session: Machine Learning Challenges in Cyber Security Applications
Papers:
- Active Learning for Alert Triage Justin Doak, Joe Ingram, Jeffery Shelburg, Joshua Johnson, Brandon Rohrer
- Aiding Intrusion Analysis Using Machine Learning Loai Zomlot, Sathya Chandran, Doina Caragea, Xinming Ou
- Streaming Malware Classification in the Presence of Concept Drift and Class Imbalance Philip Kegelmeyer, Ken Chiang, Joe Ingram
- An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications Justin Beaver, Raymond Borges, Mark Buckner
- PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber Security Concepts Robert Bridges, Nikki McNeil, Michael Iannacone, Bogdan Czejdo, Nicolas Perez, John Goodall
04. Special Session: Machine Learning Applications in Software Engineering
Statistics:
- Received papers: 9
- Accepted as regular papers: 7 (78%)
- Accepted as poster presentation: 1 (11%)
- Rejected: 1 (11%)
Papers:
- DECOBA: Utilizing Developers Communities in Bug Assignment Shadi Banitaan (University of Detroit Mercy)
- Predicting Parallelization of Sequential Programs Using Supervised Learning Daniel Fried (University of Arizona)
- Identifying Effective Test Cases Through K-means Clustering for Enhancing Regression Testing Yulei Pang (Texas Tech University)
- An Empirical Study on Wrapper-based Feature Selection for Software Engineering Data Huanjing Wang (Western Kentucky University, USA)
- Learning Finite-State Machines: Conserving Fitness Function Evaluations by Marking Used Transitions Daniil Chivilikhin (NRU ITMO)
- Class Diagram Retrieval Using Genetic Algorithm Hamza Salami (KFUPM, Saudi Arabia)
- Objective Re-Weighting to Guide an Interactive Search Based Software Testing System Bogdan Marculescu (Blekinge Tekniska Högskola)
05. Special Session: Machine Learning For Predictive Models
Statistics:
- Received papers: 35
- Accepted as regular papers: 7 (20%)
- Accepted as poster presentation: 8 (23%)
- Rejected: 16 (46%)
- Canceled: 4 (11%)
Papers:
- Bug Reports Prioritization: Which Features and Classifier to Use? Mamdouh Alenezi*, North Dakota State University; Shadi Banitaan, University of Detroit Mercy
- Fuzzy Model Tree For Early Effort Estimation Mohammad Azzeh*, Applied Science University; Ali Bou Nassif, Western University
- Ensemble feature selection methods for a better regularization of the lasso estimate in p >> n gene expression datasets Adel Oraini*, "Qassim University, Saudi Arabia"
- Personalized Spam Filtering with Natural Language Attributes Rushdi Shams*, Western University; Robert Mercer, Western University
- First-order Probabilistic Model for Hybrid Recommendations Julia Hoxha*, KIT
- Learning decision trees from uncertain data with an evidential EM approach Nicolas Sutton-Charani*, HEUDIASYC; Sébastien Destercke, HEUDIASYC; Thierry Denoeux, HEUDIASYC
- Methods and Applications for Distance Based ANN Training Christoph Lassner*, Augsburg University; Rainer Lienhart, Augsburg University
06. Special Session: Machine Learning in Energy Applications
Statistics:
- Received papers: 12
- Accepted as regular papers: 11 (92%)
- Accepted as poster presentation: 0 (0%)
- Canceled: 1 (8%)
Papers:
- Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD) Sardar Afra (Texas A&M University) afra@tamu.edu; Eduardo Gildin (Texas A&M University)
- Quality Classification of Green Pellet Nuclear Fuels using Radial Basis Function Neural Networks Benyamin Kusumoputro (University of Indonesia) kusumo@ee.ui.ac.id;Akhmad Faqih (University of Indonesia) akhmadfaqih@ymail.com; Dede Sutarya (University of Indonesia) dede.sutarya@ui.ac.id; Lina Budianto (Tarumanagara University)
- Approach to control of hybrid renewable power system on the basis of AE-method using genetic algorithm Bakhyt Matkarimov (Nazarbayev University) bmatkarimov@nu.edu.kz; Viktor Ten (NURIS) vten@nu.edu.kz; Nalik Isembergenov (Kazakh National Technical University) isembergenov@mail.ru;
- Price Forecasting in the Spanish Day-Ahead Electricity Market Using Preconditioned Wind Power Information Hamid Zareipour (University of Calgary) h.zareipour@ucalgary.ca; Chris Geidel () christian.geidel@freenet.de;
- A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction using Grammatical Evolution Anthony De Silva (University of Sydney) mihids@gmail.com; Farzad Noorian (University of Sydney) farzad.noorian@gmail.com; Richard Davis (University of Sydney) richard.davis@sydney.edu.au; Philip Leong (University of Sydney) philip.leong@sydney.edu.au;
- An Intelligent Tool for ANN Based Power Factor Correction Ramazan Bayindir ("Gazi University, Turkey") bayindir@gazi.edu.tr; Omer Sesveren (Project for Promoting LifeLong Learning in Turkey) omersesveren@hotmail.com;
- Intelligent Decision Support System For Energy Investments Hacer Atlı (Gazi University) haceratl@gmail.com; Uraz Yavanoglu (Gazi University) uraz@gazi.edu.tr; Gizem Tanış (Gazi University) gizemtanis66@gmail.com; Orhan Kaplan (Gazi University) okaplan@gazi.edu.tr; ss@gazi.edu.tr; Özlem MİLLETSEVER (Gazi Üniversitesi) ozlemilletsever@gmail.com; Ugur INAL (Cankaya University Department of Computer Engineering)
- Operation Planning of Hydroelectric Systems: application of Genetic Algorithms and Differential Evolution Priscila Rampazzo (UFU) priscila@facom.ufu.br; Akebo Yamakami (University of Campinas) akebo@dt.fee.unicamp.br; Fabrício de França (Federal University of ABC) folivetti@ufabc.edu.br;
- Artificial Neural Networks Controller Algorithm Design for a Brushless DC Motor lhami Colak ("Gazi University, Turkey") icolak@gazi.edu.tr; Murat Sahin (Roketsan CO.) msahin@roketsan.com.tr; Zafer Esen (Roketsan CO.) zesen@roketsan.com.tr;
- A Neural Network Approach to Multi-Step-Ahead, Short-Term Wind Speed Forecasting Julian Cardenas-Barrera (UCLV) julian@uclv.edu.cu; Julian Meng (UNB) jmeng@unb.ca; Eduardo Castillo-Guerra (UNB) ecastill@unb.ca; Liuchen Chang (UNB) lchang@unb.ca;
- An Evaluation Study on Circuit Parameter Conditions of Neural Network Hidenori Maruta (Nagasaki University) hmaruta@nagasaki-u.ac.jp; Masashi Motomura ("Nagasaki Univ., Japan") masasisa1117@yahoo.co.jp; Fujio Kurokawa ("Nagasaki Univ., Japan") fkurokaw@nagasaki-u.ac.jp;
07. Special Session: Machine Learning in Information and System Security Issues
Statistics:
- Received papers: 9
- Accepted as regular papers: 6 (67%)
- Accepted as poster presentation: 0 (0%)
- Rejected: 3 (33%)
Papers:
- Analyzing Ensemble Systems For Protected Signature Data ISAAC OLIVEIRA FILHO (UERN)
- Learning to Block Undesired Comments in the Blogosphere Tiago Almeida (Fed. University of Sao Carlos)
- Predicting the location of Twitter users for crimes Sedef Gündüz (Gazi University)
- Google Penguin: Evasion in Non-English Languages and a New Classifier Abdulrahman Alarifi (KACST)
- Intelligent Approach for Identifying Political Views over Social Networks Semra ÇAKIR (Gazi Üniversitesi)
- A New Approach to Detecting Content Anomalies in Wikipedia Duygu Sinanc (Gazi university)
08. Special Session: Machine Learning with Multimedia Data
Statistics:
- Received papers: 16
- Accepted as regular papers: 6 (38%)
- Accepted as poster presentation: 0 (0%)
- Rejected: 10 (63%)
Papers:
- A Riemannian stopping criterion for unsupervised phonetic segmentation Ciro Pons, Xavier Anguera, xavier binefa
- Two-level clustering towards unsupervised discovery of acoustic classes Ciro Pons, Xavier Anguera, xavier binefa.
- Unsupervised Video Summarization via Dynamic Modeling-based Hierarchical Clustering Karim Mahmoud
- Could We Minimize the Influence Brought by Gender and Race Difference In Age Estimation? Xiaolong Wang, vincent Ly, guoyu lu, chandra Kambhamettu
- EPG content recommendation in large scale: a case study on interactive TV platform Dávid Zibriczky, Zoltán Petres, Márton Waszlavik, Domonkos Tikk.
- A Multimodal Approach to Song-Level Style Identification in Pop/Rock Using Similarity Metrics Ching-Hua Chuan.
09. Special Session: Learning on the Web (LW)
Statistics:
- Received papers: 8
- Accepted as regular papers: 1 (13%)
- Accepted as poster presentation: 2 (25%)
- Rejected: 1 (13%)
- Canceled: 4 (50%)
Papers:
- Learning Relevance of Web Resources across Domains to make Recommendations Julia Hoxha (Karlsruhe Institute of Technology), Peter Mika (Yahoo! Research), Roi Blanco (Yahoo! Research)
11. Workshop: Machine Learning Algorithms, Systems and Applications
Statistics:
- Received papers: 14
- Accepted as regular papers: 7 (50%)
- Accepted as poster presentation: 1 (7%)
- Rejected: 5 (36%)
- Canceled: 1 (7%)
Papers:
- Gradient Hyper-parameter Optimization for Manifold Regularization Becker, Cassiano
- Fault Diagnosis in Railway Track Circuits Using Support Vector Machines Sun, Shangpeng
- Clustering Based Classification in Data-Mining Method Recommendation Kazik, Ondrej
- Sampling adaptively using the Massart inequality for scalable learning by boosting Chen, Jianhua
- Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines Moamar SAYED-MOUCHAWEH, Moamar
- Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem Buzdalov, Maxim
- Evolving Neuro-Fuzzy Network with Neurons Based on Uninorms to Time Series Forecasting Rosa, Raul Arthur
12. Workshop: Bioinformatics and Health Informatics
Statistics:
- Received papers: 15
- Accepted as regular papers: 7 (47%)
- Accepted as poster presentation: 4 (27%)
- Rejected: 3 (20%)
- Canceled: 1 (7%)
Papers:
- A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search Dean Shaft (University of Waterloo)
- A Comprehension Approach for Formalizing Privacy Rules of HIPAA for Decision Support Imran Khan (Kent State University)
- Simplifying the Utilization of Machine Learning Techniques for Bioinformatics David Dittman (Florida Atlantic University)
- Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets Taghi Khoshgoftaar (Florida Atlantic University)
- Gene Expression Profile Classification using Random Projection and Sparse Representation Xiyi Hang (California State University)
- Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmission Prediction Michael Vedomske (University of Virginia)
- Scalable and Locally Applicable Measures of Treatment Variation that Use Hospital Billing Data Michael Vedomske (University of Virginia)
13. Workshop: Big Data and Data Analytics Applications
Statistics:
- Received papers: 14
- Accepted as regular papers: 7 (50%)
- Accepted as poster presentation: 2 (14%)
- Rejected: 5 (36%)
Papers:
- Recommending messages to users in social networks: a cross-site study Robin Cohen (University of Waterloo)
- Massive GIS Database System with Autonomic Resource Management Yun Lu (FIU)
- Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection Randall Wald (Florida Atlantic University, USA)
- Survey of Clinical Data Mining Applications on Big Data in Health Informatics Matthew Herland (Florida Atlantic University)
- Constrained Motion Particle Swarm Optimization and Support Vector Regression for Non-Liner Time Series Regression and Prediction Applications Nicholas Sapankevych (Raytheon)
- Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations Liz Aranguren Pachano, (Florida Atlantic University)
- Epidemiological Data Analysis in TerraFly Geo-Spatial Cloud Huibo Wang (Florida International University), Yun Lu (Florida International University), Yudong Guang (Florida International University), Erik Edrosa (Florida International University), Mingjin Zhang (Florida International University), Raul Camarca (Florida International University), Yelena Yesha (Florida International University), Tajana Lucic, (Florida International University), Naphtali Rishe (Florida International University)
15. Special Session: Machine Learning in Visual Information Processing
Statistics:
- Received papers: 9
- Accepted as regular papers: 6 (67%)
- Accepted as poster presentation: 0 (0%)
- Rejected: 3 (33%)
Papers:
- Dual tree complex wavelet transform based Multiclass Object Classification Ashish Khare
- A Robust Unsupervised Feature Learning Framework Using Spatial Boosting Networks Nam Le (John von Neumann Institute)
- LIPID: Local Image Permutation Interval Descriptor Tian Tian
- Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules Ethan Smith (University of Hawaii)
- VISUAL SPEECH DETECTION USING AN UNSUPERVISED LEARNING FRAMEWORK Rameez Ahmad (Univ. of Michigan-Dearborn)
- Automatic Binding Points and Surface Helix Angle Measurement in Weft-faced Compound Weave Figured Historic Silk Nilesh Patel (Oakland University)
16. Special Session: Machine Learning Applications in Education
Statistics:
- Received papers: 12
- Accepted as regular papers: 8 (67%)
- Accepted as poster presentation: 0 (0%)
- Rejected: 3 (25%)
- Canceled: 1 (8%)
Papers:
- The Estımatıon of Students’ Academıc Success By Data Mining Methods Halil Ibrahim BULBUL
- Approach to Cold-Start Problem in Recommender Systems in the Context of Web-Based Education Reginaldo Gotardo
- Determınatıon Of Socio-Economic Factors Affecting Student’s Succes Wıth Data Mining Methods Suleyman ÜSTÜN
- An Artificial Neural Networks based Software System for Improved Learning Experience Utku Kose
- Hindi Language Graphical User Interface To Database Management System MOHIT DUA
- mproving the Transcription of Academic Lectures for Information Retrieval Audrey Mbogho
- Enhancing Online Music Lessons with Applications in Automating Self-Learning Tutorials and Performance Assessment Nashlie Sephus
- Scenario based Functional Regression Testing using Petri Net Models Farooq Ahmad
Posters - Main Conference
- The SLS-generated Soft Robotic Hand – An Integrated Approach using Additive Manufacturing and Reinforcement Learning Arne Rost*, Festo AG & Co. KG; Stephan Schädle, UAS Ravensburg-Weingarten
- WMCD: A Situation Aware Multicast Congestion Detection Scheme Using Support Vector Machines in MANETs Xiaoming Liu*, University of the Western Cape; Henry Nyongesa, University of the Western Cape; James Connan, Rhodes University
- Coordinated Reinforcement Learning Agents in a Multi-Agent Virtual Environment William Sause*, Nova Southeastern University
- Natural Image Segmentation Based on Precise Edge Detection Wenya Feng*, Peking University
- Applications of Class-Conditional Conformal Predictor in Multi-Class Classification Fan Shi*, NICTA; Christopher Leckie, ; Cheng-Soon Ong,
- Affect Detection and Classification from the Non-Stationary Physiological Data Omar AlZoubi*, Carnegie Mellon University; Davide Fossati, ; Sidney D’Mello, ; Rafael Calvo,
- Application of neural networks based SANARX model for identification and control liquid level tank system Juri Belikov*, Institute of Cybernetics; Eduard Petlenkov, Tallinn University of Technology; Kristina Vassiljeva, Tallinn University of Technology,; Sven Nomm, Institute of Cybernetics
- Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-Armed Bandit Problems Neha Gupta*, Adobe; Ole-Christoffer Granmo, University of Agder, Norway; Ashok Agrawala, University of Maryland, College Park
- On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch Tim Brys*, AI Lab, VUB; Kristof Van Moffaert, AI Lab, VUB; Kevin Van Vaerenbergh, AI Lab, VUB; Ann Nowé, AI Lab, VUB
- Random forest classification for hippocampal segmentation in 3D MR images Lia Maglietta*, CNR-ISSIA; nicola Amoroso, ; Stefania Bruno, ; andrea Chincarini, ; Giovanni Frisoni, ; Paolo Inglese, ; Sabina Tangaro, ; Andrea Tateo, ; Roberto Bellotti,
- Ordered Segment for Classification of Big Data Abolfazl Fatholahzadeh*, Supelec
- Indicative Support Vector Clustering with its Application on Anomaly Detection Huang Xiao*, TUM; Claudia Eckert, Technical University of Munich
- Computed data-geometry based Supervised and Semi-supervised Learning in High Dimensional Data Elizabeth Chou*, UC Davis ; Fushing Hsieh, UC Davis; John Capitanio, UC Davis
- Collective Classification using Semantic Based Regularization Michelangelo Diligenti*, Universita' di Siena; Marco Gori, Universita' di Siena; Claudio Sacca', Universita' di Siena
- Graph and Manifold Co-Regularization Michelangelo Diligenti*, Universita' di Siena; Claudio Sacca', Universita' di Siena; Marco Gori, Universita' di Siena
- Segmental Analysis and Evaluation of Exploratory Search Process Chathra Hendahewa*, Rutgers University; Chirag Shah, Rutgers University
- Dynamic Distributed Genetic Algorithm Using Hierarchical Clustering for Flight Trajectory Optimization of Winged Rocket Shintaro Miyamoto*, Kyushu Institute of Technology; Takaaki Matsumoto, Kyushu Institute of Technology; Koichi Yonemoto, Kyushu Institute of Technology
- Adversarial Spam Detection Using the Randomized Hough Transform-Support Vector Machine David DeBarr*, George Mason University; Hao Sun, GMU; Harry Wechsler, GMU
- Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies Matt Smith, The University of Alabama; Charles Castello*, Oak Ridge National Laboratory; Joshua New, Oak Ridge National Laboratory
- Eigenfaces for Face Detection: a Novel Study Salaheddin Alakkari*, University of Limerick; John Collins, University of Limerick
- Discriminative apprenticeship learning with both preference and non-preference behavior DINGSHENG LUO*, PEKING UNIVERSITY; YI WANG, PEKING UNIVERSITY; XIHONG WU, PEKING UNIVERSITY
- BiETMI -BiClustering Ensemble Technique using Mutual Information Geeta Aggarwal*, Universityof Delhi; Neelima Gupta, University of Delhi
- Using Support Vector Machines to Classify Student Attentiveness for the Development of Personalized Learning Systems Manus Ross*, NC A&T State University; Corey Graves, NC A&T State University; John Campbell, NC A&T State University; Jung Kim, NC A&T State University
- A temporal difference GNG-based algorithm that can learn to control in reinforcement learning environments Davi Vieira*, Federal Institute of Sergipe; Paulo Adeodato, Federal University of Pernambuco; Paulo Gonçalves Jr., Federal Institute of Pernambuco
- Cost Sensitive Credit Card Fraud Detection using Bayes Minimum Risk Alejandro CORREA BAHNSEN*, University of Luxembourg; aleksandar Stojanovic, ; Djamila Aouada, ; Bjorn Ottersten,
- Event Causality Identification Using Conditional Random Field in Geriatric Care Domain Saeed Mehrabi*, IUPUI; Anand Krishnan, IUPUI; Eric Tinsley, Allegiant Consulting LLC; Jon Sligh, Allegiant Consulting LLC; Natalie Crohn, allegiant Consulting LLC; Heather Bush, Allegiant Consulting LLC; Jason DePasquale, allegiant Consulting LLC; Jean Bandos, Allegiant Consulting LLC; Mathew Palakal, IUPUI
- Movie Recommendation Using Unrated Data Dong Nie*, UCAS; Lingzi Hong, Beijing Normal University; Tingshao Zhu,
- Targeted Action Rule Discovery Ryan Benton*, UL Lafayette; Tom Johnsten, ; Samy Alihamad, ; Ashwin Kannalath,
- Parallel coordinate descent for the Adaboost problem Olivier Fercoq*, The University of Edinburgh
- Hybrid Ontology-based Information Extraction for Automated Text Grading Fernando Gutierrez*, University of Oregon; Dejing Dou, "University of Oregon, USA"; Adam Martini, ; Stephen Fickas, ; Hui Zong,
- Empirical Evaluation of Profile Characteristics Gender Classification on Twitter Jalal Alowibdi*, University of Illinois at Chic
- Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis Bernard Chen*, University of Central Arkansas; Fusheng Tang, University of Arkansas at Little Rock; Roshan Doolabh, University of Arkansas at Little Rock
- Higher-order Regularized Kernel CCA Md. Ashad Alam*, The Institute of Statistical M; Kenji Fukumizu, The Institute of Statistical Mathematics
- Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model Bernard Chen*, University of Central Arkansas; Cody Hudson, University of Central Arkansas; Aaron Crawford, University of Central Arkansas; Minwoo Kim,
- Data analysis, Discharge classifications, and Predictions of Hydrological Parameters for the Management of Rawal Dam in Pakistan Maqbool Ali*, NUST; ALI QAMAR, SEECS, NUST
- Evolutionary Content Pre-fetching in Mobile Networks Omar Shoukry*, Cairo University; magda Fayek,
- Learning the dynamic process of inhibition and task switching in robotics cognitive control Matteo Menna, Alcor Lab, Sapienza University of Rome; Fiora Pirri*, ALCOR LAB; Mario Gianni, ALCOR DIAG A. Ruberti Sapienza
- Scalable Expert Selection when Learning from Noisy Labelers Chirine Wolley*, Aix-Marseille University; Mohamed Quafafou,
- Incorporating Categorical Information for Enhanced Probabilistic Trajectory Prediction Juergen Wiest*, University of Ulm; Felix Kunz, University of Ulm; Ulrich Kressel, Daimler AG; Klaus Dietmayer, University of Ulm
- Online Processing of Social Media Data for Emergency Management Daniela Pohl*, Klagenfurt University; Abdelhamid Bouchachia, "Bournemouth University, UK"; Hermann Hellwagner, Klagenfurt University
- Deep Multiple Kernel Learning Eric Strobl*, University of Pittsburgh; Shyam Visweswaran, University of Pittsburgh
- Comparative Analysis on the Stability of Feature Selection Techniques using Three Frameworks on Biological Datasets Randall Wald, Florida Atlantic University, USA; Taghi Khoshgoftaar*, Florida Atlantic University; Ahmad Abu Shanab, Florida Atlantic University; Amri Napolitano, "Florida Atlantic University, USA"
- Learning-based Incremental Creation of Web Image Databases Marian George*, ETH Zurich; N. Ghanem, Alexandria University; M. A. Ismail, Alexandria University
- A parallel Incremental Particle Swarm Approach for Classification Rule Discovery from Dynamic Data Kaveh Hassani*, University of Ottawa; Won-Sook Lee, University of Ottawa
- A Data Mining Approach For Imbalanced Social Link Prediction Jose Hurtado*, Florida Atlantic University; Napat Taweewitchakreeya, Florida Atlantic; Xue Kong, Florida Atlantic
- Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine Zhiguo Yu*,
Posters (Short Papers) - 04. Special Session: Machine Learning Applications in Software Engineering
Posters (Short Papers):
- Worst-Case Execution Time Test Generation for Augmenting Path Maximum Flow Algorithms using Genetic Algorithms Viktor Arkhipov (Saint-Petersburg National Research University of IT, Mechanics and Optics)
Posters (Short Papers) - 05. Special Session: Machine Learning For Predictive Models
Posters (Short Papers):
- Very Short Term Load Forecasting using Cartesian Genetic Programming evolved Recurrent Neural Networks (CGPRNN) Gul Muhammad Khan*, UET Peshawar; Fahim Zafari, UET Peshwar; Sahibzada ali Mahmud, UET Peshwar
- Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects Cuauhtemoc Lopez Martin*, Universidad De Guadalajara
- A Genetic Algorithm to Optimize Lazy Learning Parameters for the Prediction of Customer Demands in Production Networks Mirko Kück*, BIBA - University of Bremen; Bernd Scholz-Reiter, University of Bremen
- DroidMLN: A Markov Logic Network Approach to Detect Android Malware Mahmuda Rahman*, Syracuse University
- Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy Fábio Santos*, Federal University of São Carlos and Federal Institute of Education, Science and; Heloisa Camargo, Federal University of São Carlos
- Virtual Metrology in Semiconductor Manufacturing by means of Predictive Machine Learning Models Benjamin Lenz*, University Tuebingen, Infineon; Bernd Barak, Infineon Technologies AG; Carolin Leicht, University of Leipzig; Julia Muehrwald, Infineon Technologies AG
- Selective Sampling Designs to Improve the Performance of Classification Methods Soroosh Ghorbani*, Polytechnique Montreal; Michel C. Desmarais, Polytechnique, Montreal
- Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification Yingzhen Yang*, UIUC; Xinqi Chu, ; Thomas Huang, UIUC
Posters (Short Papers) - 09. Special Session: Learning on the Web
Posters (Short Papers):
- Future Client's Request Estimation for Dynamic Resource Allocation in Cloud Data Center using CGPANN Gul Muhammad Khan (UET Peshawar), Jawad Ali (UET, Peshawar), Sahibzada ali Mahmud (UET Peshwar)
- Incorporating Game-theoretic Rough Sets in Web-based Medical Decision Support Systems Nouman Azam (University of Regina), JingTao Yao (University of Regina)
Posters (Short Papers) - 11. Workshop: Machine Learning Algorithms, Systems and Applications
Posters (Short Papers):
- A Framework towards the Unification of Ensemble Classification Methods Mohammad Ali Bagheri
Posters (Short Papers) - 12. Workshop: Machine Learning and Applications in Health Informatics
Posters (Short Papers):
- Automatic Behavior Learning for Personalized Assisted Living Systems Eliasz Kańtoch (AGH University of Science and Technology, Poland)
- Technical varification of integrating werable sensors into BSN-based telemedical monitoring system Eliasz Kańtoch (AGH University of Science and Technology, Poland)
- Learning to rank drug combinations Fernando Lozano (Universidad de los Andes, Columbia)
- Augmenting access to the public health through automated Pap smear cell analysis Daniela Ushizima (Lawrence Berkeley National Lab)
Posters (Short Papers) - 13. Workshop: Big Data and Data Analytics Applications
Posters (Short Papers):
- Hybrid Method for Fast SVM Training in Applications Involving Large Volumes of Data Arif Wani (California State Univesity at Bakersfield, USA)
- sksOpen: Efficient Indexing, Querying, and Visualization of Geo-spatial Big Data Yun Lu (Florida International University), Mingjin Zhang (Florida International University), Shonda Witherspoon (Florida International University), Yelena Yesha (University of Maryland, Baltimore County), Yaacov Yesha (University of Maryland, Baltimore County), Naphtali Rishe (Florida International University)