Table of Contents

• Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule NetworksAleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina. 1-6 [doi]
• DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep LearningWei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li. 7-13 [doi]
• Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong GameElhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara. 14-19 [doi]
• Deep Learning for Microalgae ClassificationIago Correa, Paulo Drews Jr., Silvia S. C. Botelho, Marcio Silva de Souza, Virgínia Maria Tavano. 20-25 [doi]
• Anomaly Prediction Based on k-Means Clustering for Memory-Constrained Embedded DevicesYuto Kitagawa, Tasuku Ishigoka, Takuya Azumi. 26-33 [doi]
• Clustering Distributed Short Time Series with Dense PatternsJosenildo Costa da Silva, Gustavo H. B. S. Oliveira, Stefano Lodi, Matthias Klusch. 34-41 [doi]
• Modeling Over-Dispersion for Network Data ClusteringLu Wang, Dongxiao Zhu, Ming Dong, Yan Li. 42-49 [doi]
• Deep Learning Based Car Damage ClassificationKalpesh Patil, Mandar Kulkarni, Anand Sriraman, Shirish Karande. 50-54 [doi]
• Attribute Assisted Interpretation Confidence Classification Using Machine LearningWolfgang Weinzierl. 55-60 [doi]
• A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of ObservationsRoozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda. 61-67 [doi]
• Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early LifeDanielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani. 68-75 [doi]
• Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning ClassifiersYan Gao, Alan Schay, Daqing Hou, Jorge Ortiz. 76-83 [doi]
• On the Impacts of Noise from Group-Based Label Collection for Visual ClassificationMaggie Wigness, Steven Gutstein. 84-91 [doi]
• Learning Robust Video Synchronization without AnnotationsPatrick Wieschollek, Ido Freeman, Hendrik P. A. Lensch. 92-100 [doi]
• Google's Cloud Vision API is Not Robust to NoiseHossein Hosseini, Baicen Xiao, Radha Poovendran. 101-105 [doi]
• Machine Learning in Appearance-Based Robot Self-LocalizationAlexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich. 106-112 [doi]
• Learning Antecedent Structures for Event Coreference ResolutionJing Lu, Vincent Ng. 113-118 [doi]
• Automatic Generation and Recommendation for API MashupsQinghan Xue, Lei Liu, Weipeng Chen, Mooi Choo Chuah. 119-124 [doi]
• Classification-Based Adaptive Web ScraperUjwal B. V. S, Bharat Gaind, Abhishek Kundu, Anusha Holla, Mukund Rungta. 125-132 [doi]
• Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional CurvatureMasoud Badiei Khuzani, Na Li. 133-140 [doi]
• Anytime Exploitation of Stragglers in Synchronous Stochastic Gradient DescentNuwan S. Ferdinand, Benjamin Gharachorloo, Stark C. Draper. 141-146 [doi]
• An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault DetectionAndreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner. 147-154 [doi]
• Online Structure-Search for Sum-Product NetworksAaron W. Dennis, Dan Ventura. 155-160 [doi]
• A Machine Learning Approach to Detecting Sensor Data Modification Intrusions in WBANsAlexander Verner, Dany Butvinik. 161-169 [doi]
• Automatic Algorithm Recognition of Source-Code Using Machine LearningMaged Shalaby, Tarek Mehrez, Amr El-Mougy, Khalid Abdulnasser, Aysha Al-Safty. 170-177 [doi]
• Realistic Traffic Generation for Web RobotsKyle Brown, Derek Doran. 178-185 [doi]
• Incomplete Dot Products for Dynamic Computation Scaling in Neural Network InferenceBradley McDanel, Surat Teerapittayanon, H. T. Kung. 186-193 [doi]
• Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate LearningKangil Kim. 194-198 [doi]
• Recognition of Acoustic Events Using Masked Conditional Neural NetworksFady Medhat, David Chesmore, John Robinson. 199-206 [doi]
• Parametric Exponential Linear Unit for Deep Convolutional Neural NetworksLudovic Trottier, Philippe Giguère, Brahim Chaib-draa. 207-214 [doi]
• Understading Image Restoration Convolutional Neural Networks with Network InversionÉglen Protas, José Bratti, Joel D. O. Gaya, Paulo Drews Jr., Silvia S. C. Botelho. 215-220 [doi]
• Lecture Vdeo Indexing Using Boosted Margin Maximizing Neural NetworksDi Ma, Xi Zhang, Xu Ouyang, Gady Agam. 221-227 [doi]
• Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities EstimatesMathias Bourel, Badih Ghattas. 228-233 [doi]
• Classification of Pollen Grain Images Based on an Ensemble of ClassifiersDavid Gutierrez Arias, Marcos Vinicius Mussel Cirne, Josimar Edinson Chire, Hélio Pedrini. 234-240 [doi]
• UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy DataShashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard. 241-248 [doi]
• Deep Transductive Nonnegative Matrix Factorization for Speech SeparationYalin Liu, Naiyang Guan, Jie Liu. 249-254 [doi]
• An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword SpottingMing Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni. 255-260 [doi]
• Wearable Motion Sensor Based Analysis of Swing SportsAkash Anand, Manish Sharma, Rupika Srivastava, Lakshmi Kaligounder, Divya Prakash. 261-267 [doi]
• Multiple Kernel Representation Learning for WiFi-Based Human Activity RecognitionHan Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos. 268-274 [doi]
• Multilabel Classification with Weighted Labels Using Learning Classifier SystemsShabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar. 275-280 [doi]
• Integrated Framework for Improving Large-Scale Hierarchical ClassificationAzad Naik, Huzefa Rangwala. 281-288 [doi]
• Stacking Methods for Hierarchical ClassificationFelipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri. 289-296 [doi]
• NMF-Based Label Space Factorization for Multi-label ClassificationMohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani. 297-303 [doi]
• Automatic Scoring of a Nonword Repetition TestMeysam Asgari, Jan P. H. van Santen, Katina Papadakis. 304-308 [doi]
• Geometrical Analysis of Machine Learning Security in Biometric Authentication SystemsKoosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep K. S. Gupta. 309-314 [doi]
• Thyme: Improving Smartphone Prompt Timing Through Activity AwarenessSamaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder. 315-322 [doi]
• EyeQual: Accurate, Explainable, Retinal Image Quality AssessmentPedro Costa 0005, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran. 323-330 [doi]
• The Effect of Communication on Noncooperative Multiplayer Multi-armed Bandit ProblemsNoyan Evirgen, Alper Kose. 331-336 [doi]
• Comparing Transfer Learning and Traditional Learning Under Domain Class ImbalanceKarl R. Weiss, Taghi M. Khoshgoftaar. 337-343 [doi]
• RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of PrivacyAnna Palczewska, Jan Palczewski, Georgios Aivaliotis, Lukasz Kowalik. 344-351 [doi]
• On the Limitation of Convolutional Neural Networks in Recognizing Negative ImagesHossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran. 352-358 [doi]
• A New Framework for Fine Tuning of Deep NetworksM. Arif Wani, Saduf Afzal. 359-363 [doi]
• HDLTex: Hierarchical Deep Learning for Text ClassificationKamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes. 364-371 [doi]
• A Noise Prediction and Time-Domain Subtraction Approach to Deep Neural Network Based Speech EnhancementBabafemi O. Odelowo, David V. Anderson. 372-377 [doi]
• Granular Computing with Compatibility Based Intuitionistic Fuzzy Rough SetsSibasis Bandyopadhyay, Jingtao Yao, Yan Zhang 0030. 378-383 [doi]
• Subject-Dependent SSVEP Identification Using GMM Training and AdaptationOmid Dehzangi, Muhamed Farooq. 384-389 [doi]
• Supervised Machine Learning Based Surface Inspection by Synthetizing Artificial DefectsMatthias Haselmann, Dieter Gruber. 390-395 [doi]
• Adventure Game with a Neural Network Controlled Non-playing CharacterMichael Weeks, David Binnion, Andre Chase Randall, Vibhuti Patel. 396-401 [doi]
• A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path SnakesSolon A. Peixoto, Aldisio G. Medeiros, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. 402-407 [doi]
• Automated Patent Classification Using Word EmbeddingMattyws F. Grawe, Claudia A. Martins, Andreia Gentil Bonfante. 408-411 [doi]
• Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS DiagnosisDoyup Lee. 412-419 [doi]
• RBF-FIRMLP Architecture for Digit RecognitionCristinel Codrescu. 420-425 [doi]
• Incremental Dynamic Search SolverAli Hmer, Malek Mouhoub. 426-431 [doi]
• DDoS Attack Modeling and Detection Using SMOSalva Daneshgadeh, Nazife Baykal, Seyda Ertekin. 432-436 [doi]
• Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced ExtractorsRobert A. Bridges, Kelly M. T. Huffer, Corinne L. Jones, Michael D. Iannacone, John R. Goodall. 437-442 [doi]
• Privacy Preserving Record Linkage Using MetaSoundex AlgorithmKeerthi Koneru, Cihan Varol. 443-447 [doi]
• Machine Learning Methods Used in Evaluations of Secure Biometric System ComponentsBilgehan Arslan, Mehtap Ulker, Seref Sagiroglu. 448-453 [doi]
• Automated Behavioral Analysis of Malware: A Case Study of WannaCry RansomwareQian Chen, Robert A. Bridges. 454-460 [doi]
• Automatic Bitcoin Address ClusteringDmitry Ermilov, Maxim Panov, Yury Yanovich. 461-466 [doi]
• Forecasting Domestic Hot Water Demand in Residential House Using Artificial Neural NetworksAlexandra Delorme-Costil, Jean Jacques Bezian. 467-472 [doi]
• A Learning Framework for Control-Oriented Modeling of BuildingsJavier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna Vrabie. 473-478 [doi]
• Multistep-ahead Streamflow and Reservoir Level Prediction Using ANNs for Production Planning in Hydroelectric StationsJorge Hernandez-Ambato, Gabriel Asqui-Santillan, Alberto Arellano, Carlos Cunalata. 479-484 [doi]
• Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural NetworkRabah Benkercha, Samir Moulahoum, Ilhami Colak. 485-492 [doi]
• Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural NetworksGul Muhammad Khan, Rabia Arshad, Nadia Masood Khan. 493-498 [doi]
• Solar Radiation Prediction Improvement Using Weather ForecastsSam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed. 499-504 [doi]
• Prediction of Power Grid Failure Using Neural Network LearningCarmen Haseltine, Eman El-Sheikh Eman. 505-510 [doi]
• A Review of Deep Learning Methods Applied on Load ForecastingAbdulaziz Almalaq, George Edwards. 511-516 [doi]
• Mitigating IoT-based Cyberattacks on the Smart GridYasin Yilmaz, Suleyman Uludag. 517-522 [doi]
• A Novel Application of Naive Bayes Classifier in Photovoltaic Energy PredictionRamazan Bayindir, Mehmet Yesilbudak, Medine Colak, Naci Genç. 523-527 [doi]
• Application of Decision Trees for Detection of Student Dropout ProfilesRicardo Timaran Pereira, Javier Caicedo Zambrano. 528-531 [doi]
• Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application EssaysMitsunori Ogihara, Gang Ren. 532-539 [doi]
• Component Based Architecture for the Control of Crossing Regions in Railway NetworksFarooq Ahmad, Ayesha Sadiq, Ana Maria Martinez-Enriquez, Aslam Muhammad, Muhammad Waqas Anwar, Usama Ujaz Bajwa, Mudasser Naseer, Sher Afzal Khan. 540-545 [doi]
• Classification of ECG Arrhythmia with Machine Learning TechniquesHalil-Ibrahim Bülbül, Nese Usta, Musa Yildiz. 546-549 [doi]
• Human Motion Trajectory Analysis Based Video SummarizationMuhammad Ajmal, Mudasser Naseer, Farooq Ahmad, Asma Saleem. 550-555 [doi]
• A Simple Neuro-Heuristic Computational Intelligence Algorithm for Thin Film Flow Equation Arising in Physical ModelsIftikhar Ahmad, Bushra Mukhtar, Kadir Kutlu, Farooq Ahmad. 556-561 [doi]
• Support Vector Regression for Predicting the Enhancement Duration of Software ProjectsCuauhtémoc López Martín, Shadi Banitaan, Andres Garcia-Floriano, Cornelio Yáñez-Márquez. 562-567 [doi]
• Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)Nadia Masood Khan, Gul Muhammad Khan. 568-573 [doi]
• Forward Looking Sonar Scene Matching Using Deep LearningPedro Otávio Cardozo de Souza Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews, Silvia Silva da Costa Botelho. 574-579 [doi]
• Brace Treatment Monitoring Solution for Idiopathic Scoliosis PatientsBhavani Anantapur Bache, Omar Iftikhar, Omid Dehzangi. 580-585 [doi]
• Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented SoftwareMourad Badri, Linda Badri, Oussama Hachemane, Alexandre Ouellet. 586-592 [doi]
• Evaluating Non-personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender SystemsGeorges Chaaya, Elisabeth Métais, Jacques Bou Abdo, Raja Chiky, Jacques Demerjian, Kablan Barbar. 593-600 [doi]
• Railway Incident Ranking with Machine LearningEvgeni Bikov, Pavel Boyko, Evgeny Sokolov, Dmitry Yarotsky. 601-606 [doi]
• A Spatio - Temporal Hedonic House Regression ModelTimothy Oladunni, Sharad Sharma, Raymond Tiwang. 607-612 [doi]
• Foreclosure Sale and House Value: Correlation or Causation?Timothy Oladunni, Sharad Sharma, Raymond Tiwang. 613-618 [doi]
• Predictive Models of Hard Drive Failures Based on Operational DataNicolas Aussel, Samuel Jaulin, Guillaume Gandon, Yohan Petetin, Eriza Fazli, Sophie Chabridon. 619-625 [doi]
• Bayesian Networks for Inverse Inference in Manufacturing Bayesian NetworksAvadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Amol Joshi. 626-631 [doi]
• Novel Trends in Scaling Up Machine Learning AlgorithmsNoel Lopes, Bernardete Ribeiro. 632-636 [doi]
• MapReduce Based Classification for Fault Detection in Big Data ApplicationsM. Omair Shafiq, Maryam Fekri, Rami Ibrahim. 637-642 [doi]
• Learning Effective Query Management Strategies from Big DataLoredana Caruccio, Vincenzo Deufemia, Giuseppe Polese. 643-648 [doi]
• A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game DataJames A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D. L. Kristjanson, Carson K. Leung, Timothy W. Tebinka. 649-654 [doi]
• Advanced ECHMM-Based Machine Learning Tools for Complex Big Data ApplicationsAlfredo Cuzzocrea, Enzo Mumolo, Gianni Vercelli. 655-660 [doi]
• A Cluster Analysis of Challenging Behaviors in Autism Spectrum DisorderElizabeth Stevens, Abigail Atchison, Laura Stevens, Esther Hong, Doreen Granpeesheh, Dennis Dixon, Erik Linstead. 661-666 [doi]
• Predicting Psychosis Using the Experience Sampling Method with Mobile AppsDaniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz. 667-673 [doi]
• Bayesian Nonparametric Clustering of Patients with Advanced Cancer on Anxiety and DepressionYuelin Li, Barry Rosenfeld, Hayley Pessin, William Breitbart. 674-678 [doi]
• On Classifying Facial Races with Partial Occlusions and Pose VariationsTarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen. 679-684 [doi]
• Anomaly Detection in Earth Dam and Levee Passive Seismic Data Using Multivariate GaussianWendy Fisher, Blake Jackson, Tracy Camp, Valeria V. Krzhizhanovskaya. 685-690 [doi]
• Image Analysis Tool with Laws' Masks to Bone TextureNorma Ramirez Hernandez, Maria Citlalli Hernandez Escareno, Juan Rodolfo Maestre Rendon. 691-694 [doi]
• Multiple Kernel Learning Using Sparse RepresentationNicholas Klausner, Mahmood R. Azimi-Sadjadi. 695-700 [doi]
• Ant Colony Optimization with Stepwise Localization of the Discrete Search Space to Solve Function Optimization ProblemsRyouei Takahashi, Yukihiro Nakamura. 701-706 [doi]
• Putting Self-Supervised Token Embedding on the TablesMarc Szafraniec, Gautier Marti, Philippe Donnat. 707-710 [doi]
• Machine Learning Methods for 1D Ultrasound Breast Cancer ScreeningNeil Joshi, Seth Billings, Erika Schwartz, Susan Harvey, Philippe Burlina. 711-715 [doi]
• A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD DetectionArnaldo Horta, Neil Joshi, Michael Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina. 716-720 [doi]
• Deep Mixture of Experts with Diverse Task SpacesJianping Fan 0001, Tianyi Zhao, Zhenzhong Kuang, Zhou Yu, Jun Yu. 721-725 [doi]
• Privacy Setting Recommendation for Image SharingJun Yu, Zhenzhong Kuang, Zhou Yu, Dan Lin, Jianping Fan 0001. 726-730 [doi]
• An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight AveragingJoshua Smith, Michael Gashler. 731-736 [doi]
• Detection of Exfiltration and Tunneling over DNSAnirban Das, Min-Yi Shen, Madhu Shashanka, Jisheng Wang. 737-742 [doi]
• An Evolutionary Approach to General-Purpose Automated Speed and Lane Change BehaviorCarl-Johan Hoel, Mattias Wahde, Krister Wolff. 743-748 [doi]
• Computable Expert Knowledge in Computer GamesKevin Fujii, Fushing Hsieh, Cho-Jui Hsieh. 749-754 [doi]
• SUBIC: A Supervised Bi-Clustering Approach for Precision MedicineMilad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levi. 755-760 [doi]
• Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring FunctionHaodi Jiang, Turki Turki, Jason T. L. Wang. 761-764 [doi]
• Relevancy Ranking of User Recommendations of Services Based on Browsing PatternsSuresh Kumar Gudla, Joy Bose, Venugopal Gajam, Srinath Srinivasa. 765-768 [doi]
• A Neural Network Approach to Derive the Horizontal Spaces in TypefacesAyantha Randika, Manjusri Ishwara Ellepola Wickramasinghe. 769-773 [doi]
• Human Action Recognition Based on a Two-stream Convolutional Network ClassifierVinícius de Oliveira Silva, Flavio de Barros Vidal, Alexandre Ricardo Soares Romariz. 774-778 [doi]
• Multidisciplinary Optimization in Decentralized Reinforcement LearningThanh Nguyen 0005, Snehasis Mukhopadhyay. 779-784 [doi]
• Bias Discovery in News Articles Using Word VectorsAnish Anil Patankar, Joy Bose. 785-788 [doi]
• Adjusting Real-Time Mode Transitions via Genetic AlgorithmsGordon Chalmers, Shelby H. Funk. 789-794 [doi]
• Towards Self-Learning Optical Music RecognitionAlexander Pacha, Horst Eidenberger. 795-800 [doi]
• Human Action Recognition Using Optical Flow and Convolutional Neural NetworksMarco Wrzalik, Dirk Krechel. 801-805 [doi]
• Deep Learning Based Link Failure MitigationShubham Khunteta, Ashok Kumar Reddy Chavva. 806-811 [doi]
• Conformal Prediction Using Random Survival ForestsHenrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou. 812-817 [doi]
• A Hierarchical, Bulk-Synchronous Stochastic Gradient Descent Algorithm for Deep-Learning Applications on GPU ClustersGuojing Cong, Onkar Bhardwaj. 818-821 [doi]
• Deep Uncertainty Interpretation in Dyadic Human Activity PredictionMaryam Ziaeefard, Robert Bergevin, Jean-François Lalonde. 822-825 [doi]
• Unsupervised Anomaly Detection for Digital Radio Frequency TransmissionsMichael Walton, Maurice Ayache, Logan Straatemeier, Daniel Gebhardt, Benjamin Migliori. 826-832 [doi]
• ADL Classification Based on Autocorrelation Function of Inertial SignalsWalid Gomaa, Reda Elbasiony, Sara Ashry Mohammed. 833-837 [doi]
• Inferring Time when People Visit a Location Using Social Network DataMd. Moniruzzaman, Ken Barker. 838-841 [doi]
• Predicting Waiting Time Overflow on Bank Teller QueuesRicardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão. 842-847 [doi]
• Deep Multi-camera People DetectionTatjana Chavdarova, François Fleuret. 848-853 [doi]
• Surface Roughness Discrimination Using Unsupervised Machine Learning AlgorithmsLonghui Qin, Yilei Zhang. 854-857 [doi]
• Medicare Fraud Detection Using Machine Learning MethodsRichard A. Bauder, Taghi M. Khoshgoftaar. 858-865 [doi]
• Exposing Computer Generated Images by Eye's Region Classification via Transfer Learning of VGG19 CNNTiago Carvalho, Edmar R. S. De Rezende, Matheus T. P. Alves, Fernanda K. C. Balieiro, Ricardo B. Sovat. 866-870 [doi]
• Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural NetworksVal Mikos, Chun-Huat Heng, Arthur Tay, Nicole Shuang Yu Chia, Karen Koh Mui Ling, Dawn May Leng Tan, Wing Lok Au. 871-876 [doi]
• HWBI : Health and Well-Being Index. A Neural Network Based Index Which Quantifies the Cumulative Impact of Lifestyle Habits on Personal Health and Well-Being and Demonstration of Its Application in Managing the Risk of DiabetesYesoda Bhargava, Raj Roy. 877-882 [doi]
• An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random WeightsPablo A. Henríquez, Gonzalo A. Ruz. 883-888 [doi]
• Better Worst-Case Complexity Analysis of the Block Coordinate Descent Method for Large Scale Machine LearningZiqiang Shi, Rujie Liu. 889-892 [doi]
• Collaborative Filtering Based on the Latent Class Model for AttributesManabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa. 893-896 [doi]
• Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic MechanismEsteban Ricalde, Wolfgang Banzhaf. 897-902 [doi]
• Sequential Inverse Approximation of a Regularized Sample Covariance MatrixTomer Lancewicki. 903-907 [doi]
• Deep Ensembles for Imbalanced ClassificationNataliia Kozlovskaia, Alexey Zaytsev. 908-913 [doi]
• Modeling a Classifier for Solving Safety-Critical Binary Classification TasksIbrahim Alagöz, Thomas Hoiss, Reinhard German. 914-919 [doi]
• Integrating Prior Knowledge into Deep LearningMichelangelo Diligenti, Soumali Roychowdhury, Marco Gori. 920-923 [doi]
• Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm RatesGeorgios Kathareios, Andreea Anghel, Akos Mate, Rolf Clauberg, Mitch Gusat. 924-929 [doi]
• Generalized Convolutional Neural Networks for Point Cloud DataAleksandr Savchenkov, Andrew Davis, Xuan Zhao. 930-935 [doi]
• OP-DCI: A Riskless K-Means Clustering for Influential User Identification in MOOC ForumXiangyu Hou, Chi-Un Lei, Yu-Kwong Kwok. 936-939 [doi]
• Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep AutoencodersThiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho. 940-943 [doi]
• Recognition of Human Activities Using Fast and Adaptive Sparse Representation Based on Wearable SensorsLong Cheng, Yiyi Yu, Xinyang Liu, Jinyu Su, Yani Guan. 944-949 [doi]
• Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual TrainingChristopher Bellman, Miguel Vargas Martin. 950-954 [doi]
• Performance Comparison of Algorithms for Movie Rating EstimationAlper Kose, Can Kanbak, Noyan Evirgen. 955-959 [doi]
• Analyzing Facebook Activities for Personality RecognitionLaleh Asadzadeh, Shahram Rahimi. 960-964 [doi]
• Using Short URLs in Tweets to Improve Twitter Opinion MiningAndrei Pavel, Vasile Palade, Rahat Iqbal, Diana Hintea. 965-970 [doi]
• Tree-Structured Curriculum Learning Based on Semantic Similarity of TextSanggyu Han, Sung-Hyon Myaeng. 971-976 [doi]
• An Ensembled RBF Extreme Learning Machine to Forecast Road Surface TemperatureBo Liu, Shuo Yan, Huanling You, Yan Dong, JianQiang Li, Yong Li, Jianlei Lang, Rentao Gu. 977-980 [doi]
• Schemes for Labeling Semantic Code Clones using Machine LearningAbdullah Sheneamer, Hanan Hazazi, Swarup Roy, Jugal Kalita. 981-985 [doi]
• Evaluation of Microgesture Recognition Using a SmartwatchSonu Agarwal, Sanjay Ghosh. 986-991 [doi]
• Automatic Fault Diagnosis of Drills Using Artificial Neural NetworksCaleb Vununu, Ki-Ryong Kwon, Eung-Joo Lee, Kwang-Seok Moon, Suk Hwan Lee. 992-995 [doi]
• Actively Discover Knowledge by Structural Risk EstimationWeining Wu. 996-999 [doi]
• Learning Long-Term Situation Prediction for Automated DrivingStefan Hoermann, Martin Bach, Klaus Dietmayer. 1000-1005 [doi]
• Transfer Learning for Large Scale Data Using Subspace AlignmentNassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf. 1006-1010 [doi]
• Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural NetworkEdmar R. S. Rezende, Guilherme C. S. Ruppert, Tiago Carvalho, Fabio Ramos, Paulo de Geus. 1011-1014 [doi]
• Text Classification Using Hierarchical Sparse Representation ClassifiersNeeraj Sharma, A. D. Dileep, Veena Thenkanidiyoor. 1015-1019 [doi]
• Two-phase Parallel Learning to Identify Similar Structures Among Relational DatabasesDebora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira. 1020-1023 [doi]
• Predicting Waiting Times in Radiation Oncology Using Machine LearningA. Joseph, Tarek Hijal, John Kildea, Laurie J. Hendren, David Herrera. 1024-1029 [doi]
• Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation PredictionAugusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho. 1030-1034 [doi]
• Human Action Recognition from Body-Part Directional Velocity Using Hidden Markov ModelsSid Ahmed Walid Talha, Anthony Fleury, Sebastien Ambellouis. 1035-1040 [doi]
• Autoencoder-Enhanced Sum-Product NetworksAaron W. Dennis, Dan Ventura. 1041-1044 [doi]
• Performance and Security Strength Trade-Off in Machine Learning Based Biometric Authentication SystemsKoosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep K. S. Gupta. 1045-1048 [doi]
• Predicting Hotel Bookings Cancellation with a Machine Learning Classification ModelNuno Antonio, Ana de Almeida, Luis Nunes. 1049-1054 [doi]
• Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device FailurePranjul Yadav, Unmesh Kurup, Mohak Shah. 1055-1060 [doi]
• Monitoring Health Changes in Congestive Heart Failure Patients Using Wearables and Clinical DataRobert Fisher, Asim Smailagic, George Sokos. 1061-1064 [doi]
• Histogram-Based Asymmetric Relabeling for Learning from Only Positive and Unlabeled DataTom Arjannikov, George Tzanetakis. 1065-1070 [doi]
• FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Activity MonitoringJunghyo Lee, Prajwal Paudyal, Ayan Banerjee, Sandeep K. S. Gupta. 1071-1074 [doi]
• Early Prediction of College Attrition Using Data MiningLuiz Carlos Barbosa Martins, Rommel N. Carvalho, Ricardo S. Carvalho, Márcio de Carvalho Victorino, Maristela Holanda. 1075-1078 [doi]
• Model Guided Deep Learning Approach Towards Prediction of Physical System BehaviorSubhasish Das, Anurag Agrawal, Ayan Banerjee, Sandeep K. S. Gupta. 1079-1082 [doi]
• Time-Sensitive Behavior Prediction in a Health Social NetworkAmnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski. 1083-1088 [doi]
• Incremental Open Set Intrusion Recognition Using Extreme Value MachineJames Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult. 1089-1093 [doi]
• Mixed Type Multi-attribute Pairwise Comparisons LearningNunung Nurul Qomariyah, Dimitar Kazakov. 1094-1097 [doi]
• Classification of UXO Using Convolutional Networks Trained on a Limited DatasetAnderson Lebbad, Garrett Clayton, C. Nataraj. 1098-1101 [doi]
• Rank Learning by Ordinal GerrymanderingStefano Fenu, Chris Rozell. 1102-1107 [doi]
• Efficient Deep Learning Model for Text Classification Based on Recurrent and Convolutional LayersAbdalraouf Hassan, Ausif Mahmood. 1108-1113 [doi]
• An Exploratory Study of Oral and Dental Health in CanadaAndrei Belcin, Sean Floyd, Areej Asiri, Herna Viktor. 1114-1119 [doi]
• A Retrieval-Based Dialogue System Utilizing Utterance and Context EmbeddingsAlexander Bartl, Gerasimos Spanakis. 1120-1125 [doi]
• Strength Training: A Fitness Application for Indoor Based Exercise Recognition and Comfort AnalysisDipankar Das, Shiva Murthy Busetty, Vishal Bharti, Prakhyath Kumar Hegde. 1126-1129 [doi]
• Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN ArchitecturesChinmaya R. Naguri, Razvan C. Bunescu. 1130-1133 [doi]
• A Mask-Based Post Processing Approach for Improving the Quality and Intelligibility of Deep Neural Network Enhanced SpeechBabafemi O. Odelowo, David V. Anderson. 1134-1138 [doi]
• Feature Extraction and K-means Clustering Approach to Explore Important Features of Urban IdentityMei-Chih Chang, Peter Bus, Gerhard Schmitt. 1139-1144 [doi]
• Applying Reinforcement Learning and Supervised Learning Techniques to Play HearthstoneIlya Kachalsky, Ilya Zakirzyanov, Vladimir Ulyantsev. 1145-1148 [doi]
• Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning TechniquesNaomi Joseph, Parita Sanghani, Hongliang Ren. 1149-1152 [doi]