| 2018 | 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018 M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed-Mouchaweh, João Gama, Edwin Lughofer |
| 2018 | A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds. Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman |
| 2018 | A Comparison of ARIMA and LSTM in Forecasting Time Series. Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin |
| 2018 | A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data. Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern |
| 2018 | A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea |
| 2018 | A Deep Neural Network Approach for Early Diagnosis of Mild Cognitive Impairment Using Multiple Features. Parisa Forouzannezhad, Alireza Abbaspour, Chunfei Li, Mercedes Cabrerizo, Malek Adjouadi |
| 2018 | A Distributed Sensing Approach for Single Platform Image-Based Localization. Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Devin Paquet, Kevin George, Eduardo L. Pasiliao |
| 2018 | A Joint Speech Enhancement Algorithm Based on the Tri-Microphone. Lei Wang, Jie Zhu |
| 2018 | A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh |
| 2018 | A Memory-Enhanced Framework for Financial Fraud Detection. Kunlin Yang |
| 2018 | A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson |
| 2018 | A Monte Carlo Tree Search Approach to Learning Decision Trees. Cecília Nunes, Mathieu De Craene, Hélène Langet, Oscar Camara, Anders Jonsson |
| 2018 | A Multi-objective Rule Optimizer with an Application to Risk Management. Pietari Pulkkinen, Neetesh Tiwari, Akhil Kumar, Christopher Jones |
| 2018 | A New Strategy for Rotating Machinery Fault Diagnosis Under Varying Speed Conditions Based on Deep Neural Networks and Order Tracking. Meng Rao, Ming Jian Zuo |
| 2018 | A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation. Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer |
| 2018 | A Persona-Based Multi-turn Conversation Model in an Adversarial Learning Framework. Oluwatobi Olabiyi, Anish Khazane, Erik T. Mueller |
| 2018 | A Pipeline for Optimizing F1-Measure in Multi-label Text Classification. Bingyu Wang, Cheng Li, Virgil Pavlu, Jay Aslam |
| 2018 | A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning. Naoki Kodama, Kazuteru Miyazaki, Taku Harada |
| 2018 | A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes. Manal Almutairi, Frederic T. Stahl, Max Bramer |
| 2018 | Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules. Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, Zbigniew W. Ras |
| 2018 | Acute Kidney Injury: Predicting 30-Day Readmissions. Michael Keyes, Joanna Bieniek, Allison Richey, Raed I. Seetan |
| 2018 | Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa |
| 2018 | Adaptive Regularized ELM and Improved VMD Method for Multi-step ahead Electricity Price Forecasting. S. N. Deepa, Arulmozhi Nagarajan, Gobu B, Kanimozhi P, Jaikumar S, Aruldoss Albert Victoire Tangaradjou |
| 2018 | Alpha Model Domination in Multiple Choice Learning. Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez |
| 2018 | An Application of Generative Adversarial Networks for Super Resolution Medical Imaging. Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu |
| 2018 | An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto |
| 2018 | An Attention-Based Air Quality Forecasting Method. Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu |
| 2018 | An Empirical Study on Class Rarity in Big Data. Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin |
| 2018 | An Ensemble Approach to Time Dependent Classification. Florian Van Daalen, Evgueni N. Smirnov, Nasser Davarzani, Ralf Peeters, Joël M. H. Karel, Hans-Peter Brunner-La Rocca |
| 2018 | An RNN-LSTM Based Flavor Recommender Framework in Hybrid Cloud. E. G. Radhika, G. Sudha Sadhasivam |
| 2018 | Analysis of Memory Capacity for Deep Echo State Networks. Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad |
| 2018 | Analysis of Railway Accidents' Narratives Using Deep Learning. Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown |
| 2018 | Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin |
| 2018 | Annotating the Performance of Industrial Assets via Relevancy Estimation of Event Logs. Pierre Dagnely, Tom Tourwé, Elena Tsiporkova |
| 2018 | Anomaly Detection Using Deep Learning Based Image Completion. Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai |
| 2018 | Application of a Graphical Model to Investigate the Utility of Cross-Channel Information for Mitigating Reverberation in Cochlear Implants. Lidea Shahidi, Leslie M. Collins, Boyla Mainsah |
| 2018 | Application of open Source Deep Neural Networks for Object Detection in Industrial Environments. Christian Poss, Olim Ibragimov, Anoshan Indreswaran, Nils Gutsche, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring |
| 2018 | Applying Supervised Learning to the Static Prediction of Locality-Pattern Complexity in Scientific Code. Nasser Alsaedi, Steve Carr, Alvis Cheuk M. Fong |
| 2018 | Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization. Shuai Fu, Nizar Bouguila |
| 2018 | Auction Fraud Classification Based on Clustering and Sampling Techniques. Farzana Anowar, Samira Sadaoui, Malek Mouhoub |
| 2018 | Automated Vulnerability Detection in Source Code Using Deep Representation Learning. Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley |
| 2018 | Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov |
| 2018 | Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks. Shuqiang Wang, Hongfei Wang, Yanyan Shen, Xiangyu Wang |
| 2018 | Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning. Ibrahim Alkanhal, B. V. K. Vijaya Kumar, Marios Savvides |
| 2018 | Balanced Multi-window Inference. Joel Goodman, Kevin S. Lorenz, Crystal Acost, George Stantchev |
| 2018 | Battery Degradation Temporal Modeling Using LSTM Networks. Mehdi Assefi, Ali Hooshmand, Hossein Hosseini, Ratnesh Sharma |
| 2018 | Bias Evaluation of Professors' Reviews. Luiza Antonie, Jérémy Foxcroft, Gary Gréwal, Nirmal Narayanan, Miana Plesca, Rosina Ramirez |
| 2018 | Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines. David Wilson, Sean Passmore, Yufei Tang, James H. VanZwieten |
| 2018 | Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. Muhammad Azam, Nizar Bouguila |
| 2018 | Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating. Xin Ye, Fan Fang, John Wu, Razvan C. Bunescu, Chang Liu |
| 2018 | CCDLC Detection Framework-Combining Clustering with Deep Learning Classification for Semantic Clones. Abdullah Sheneamer |
| 2018 | CURE-OR: Challenging Unreal and Real Environments for Object Recognition. Dogancan Temel, Jinsol Lee, Ghassan AlRegib |
| 2018 | Canonical ELM: Improving the Performance of Extreme Learning Machines on Multivariate Regression Tasks Using Canonical Correlations. Babafemi O. Odelowo, David V. Anderson |
| 2018 | Centroid Estimation Based on Symmetric KL Divergence for Multinomial Text Classification Problem. Jiangning Chen, Heinrich Matzinger, Haoyan Zhai, Mi Zhou |
| 2018 | Classification of Breast Cancer Risk Factors Using Several Resampling Approaches. Md Faisal Kabir, Simone A. Ludwig |
| 2018 | Classification of EEG Signals Using Neural Networks to Predict Password Memorability. Ruba AlOmari, Miguel Vargas Martin |
| 2018 | Classification of Eye Tracking Data Using a Convolutional Neural Network. Yuehan Yin, Chunghao Juan, Joyram Chakraborty, Michael P. McGuire |
| 2018 | Classifying Eligibility Criteria in Clinical Trials Using Active Deep Learning. Ching-Hua Chuan |
| 2018 | Cognitive Secure Shield - A Machine Learning Enabled Threat Shield for Resource Constrained IoT Devices. Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Chitanshu Chauhan, Vanaja Mamidi, Surbhi Rautji |
| 2018 | Cognitive-Assisted Interactive Labeling of Skin Lesions and Blood Cells. Francois P. S. Luus, Ismail Akhalwaya, Naweed Khan |
| 2018 | Comparison of Pre-Trained Word Vectors for Arabic Text Classification Using Deep Learning Approach. Ali Alwehaibi, Kaushik Roy |
| 2018 | Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks. Aman Rana, Gregory Yauney, Alarice Lowe, Pratik Shah |
| 2018 | Constrained Sparse Dynamic Time Warping. YoungHa Hwang, Saul B. Gelfand |
| 2018 | Convolutional Neural Networks for Automatic Threat Detection in Security X-Ray Images. Trevor Morris, Tiffany Chien, Eric Goodman |
| 2018 | CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior. Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo |
| 2018 | Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation. Yi-Wei Chen, Yi-Hsuan Yang, Homer H. Chen |
| 2018 | DLGraph: Malware Detection Using Deep Learning and Graph Embedding. Haodi Jiang, Turki Turki, Jason T. L. Wang |
| 2018 | Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Iyad Obeid, Joseph Picone |
| 2018 | Deep Bayesian Active Semi-Supervised Learning. Matthias Rottmann, Karsten Kahl, Hanno Gottschalk |
| 2018 | Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer. Alokkumar Jha, Ghanshyam Verma, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay |
| 2018 | Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. Vishwas G. Torvi, Aditya R. Bhattacharya, Shayok Chakraborty |
| 2018 | Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach. Jingyi Shen, M. Omair Shafiq |
| 2018 | Deep Reinforcement Learning Monitor for Snapshot Recording. Giang Dao, Indrajeet Mishra, Minwoo Lee |
| 2018 | Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation. Qinyun Zhu, Jae C. Oh |
| 2018 | DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems. Meshal Alfarhood, Jianlin Cheng |
| 2018 | Denoising Auto-Encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation. Jen-Yu Liu, Yi-Hsuan Yang |
| 2018 | Density-Based Fuzzy C-Means Multi-center Re-clustering Radar Signal Sorting Algorithm. Sheng Cao, Shucheng Wang, Yan Zhang |
| 2018 | Design and Implementation of an Automatic Object Recognition System Using Deep Learning and an Array of One-Class SVMs. Manuel Sebastian Rios Beltran, Camilo Andres Gamarra Torroledo, Carlos Andres Quintero Peña, Carlos Saith Rodriguez Rojas |
| 2018 | Design of River Water Quality Assessment and Prediction Algorithm. Sheng Cao, Shucheng Wang, Yan Zhang |
| 2018 | Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2018 | Detailed Identification of Fingerprints Using Convolutional Neural Networks. Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James |
| 2018 | Detecting Compromised Implicit Association Test Results Using Supervised Learning. Brendon Boldt, Zack While, Eric Breimer |
| 2018 | Detecting Different Types of Concept Drifts with Ensemble Framework. Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu |
| 2018 | Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers. Corinna Kofler, Robert Muhr, Gunter Spöck |
| 2018 | Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision. Franklin Abodo, Robert Rittmuller, Brian Sumner, Andrew Berthaume |
| 2018 | Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques. Omneya Attallah, Heba Gadelkarim, Maha A. Sharkas |
| 2018 | Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation. Rania Almajalid, Juan Shan, Yaodong Du, Ming Zhang |
| 2018 | Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo. Heidi Richburg, Richard J. Povinelli, David Friedland |
| 2018 | Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. Zeineb Hammami, Moamar Sayed-Mouchaweh, Wiem Mouelhi, Lamjed Ben Said |
| 2018 | Distributed Primal-Dual Proximal Method for Regularized Empirical Risk Minimization. Masoud Badiei Khuzani |
| 2018 | Document Retrieval for Biomedical Question Answering with Neural Sentence Matching. Jiho Noh, Ramakanth Kavuluru |
| 2018 | Dynamic Analysis of Executables to Detect and Characterize Malware. Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James |
| 2018 | Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. Piyush Sharma, Adrienne Raglin |
| 2018 | Elastic Time Series Motifs and Discords. Diego Furtado Silva, Gustavo E. A. P. A. Batista |
| 2018 | Encoding Motion Primitives for Autonomous Vehicles Using Virtual Velocity Constraints and Neural Network Scheduling. Mogens Graf Plessen |
| 2018 | Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín |
| 2018 | Estimating the Effect of Structural Damage on the Flight by Using Machine Learning. Huseyin Seckin Dykbayir, Halil-Ibrahim Bülbül |
| 2018 | Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection. Pedro Henriquer Barbosa Monforte, Gabriel Matos Araujo, Amaro Azevedo de Lima |
| 2018 | Exploring Sentence Vector Spaces through Automatic Summarization. Adly Templeton, Jugal Kalita |
| 2018 | Extreme Solutions NSGA-III (E-NSGA-III) for Scientific Workflow Scheduling on Cloud. Peerasak Wangsom, Pascal Bouvry, Kittichai Lavangnananda |
| 2018 | Fast Proposals for Image and Video Annotation Using Modified Echo State Networks. Sohini Roychowdhury, L. Srikar Muppirisetty |
| 2018 | Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection. Shun Takeuchi, Takahiro Saito |
| 2018 | Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. Vishali Vadakattu, Shan Suthaharan |
| 2018 | Financial Markets Prediction with Deep Learning. Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang |
| 2018 | Fine Object Detection in Automated Solar Panel Layout Generation. Shantanu Deshmukh, Teng-Sheng Moh |
| 2018 | Fine-Grained Image Classification via Spatial Saliency Extraction. Juntan Zhang, Feng-Wen Sun, Jie Song, Adam Von Ancken, Richard Zhai |
| 2018 | Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML. Basim Alghabashi, Nizar Bouguila |
| 2018 | Flexible Selecting of Style to Content Ratio in Neural Style Transfer. Taehee Jeong, Anubha Mandal |
| 2018 | Forecasting Residential Energy Consumption: Single Household Perspective. Xiaoou Monica Zhang, Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald |
| 2018 | Frequent Chronicle Mining: Application on Predictive Maintenance. Chayma Sellami, Ahmed Samet, Mohamed Anis Bach Tobji |
| 2018 | Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning. Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi |
| 2018 | Fuzzy Echo State Neural Network with Differential Evolution Framework for Time Series Forecasting. Deepa Subramaniam Nachimuthu, Selvam Govindaraj, Anand Tirupur Shanmuganathan |
| 2018 | GAN-Based Super Resolution for Accurate 3D Surface Reconstruction from Light Field Skin Images Towards Haptic Palpation. Myeongseob Ko, Donghyun Kim, Kwangtaek Kim |
| 2018 | Graph Neural Networks for IceCube Signal Classification. Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna |
| 2018 | Image to Multilingual Text Conversion for Literacy Education. Muhammad Ajmal, Farooq Ahmad, Ana María Martínez Enríquez, Mudasser Naseer, Aslam Muhammad, Mohsin Ashraf |
| 2018 | Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. Piyush Sharma, Adrienne Raglin |
| 2018 | Imbalanced Toxic Comments Classification Using Data Augmentation and Deep Learning. Mai Ibrahim, Marwan Torki, Nagwa M. El-Makky |
| 2018 | Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai |
| 2018 | Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network. Robert LeMoyne, Timothy Mastroianni |
| 2018 | Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. Jacob Rafati, Roummel F. Marcia |
| 2018 | Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit. Amaury Dubois, Julien Dehos, Fabien Teytaud |
| 2018 | Improving Neural Sequence Labelling Using Additional Linguistic Information. Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer |
| 2018 | Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks. Wen Ma, Minghai Qin, Won Ho Choi, Pi-Feng Chiu, Martin Lueker-Boden |
| 2018 | Improving Web Application Firewalls through Anomaly Detection. Gustavo Betarte, Eduardo Giménez, Rodrigo Martínez, Álvaro Pardo |
| 2018 | Indexing Text Related to Software Vulnerabilities in Noisy Communities Through Topic Modelling. Carlos V. Paradis, Rick Kazman, Ping Wang |
| 2018 | Inner Attention Based bi-LSTMs with Indexing for non-Factoid Question Answering. Akshay Sharma, Chetan Harithas |
| 2018 | Integrating Plausibility Checks and Machine Learning for Misbehavior Detection in VANET. Steven So, Prinkle Sharma, Jonathan Petit |
| 2018 | Interactive Evaluation of Classifiers Under Limited Resources. Sabit Hassan, Shaden Shaar, Bhiksha Raj, Saquib Razak |
| 2018 | Interactive Image Segmentation Using Multimodal Regularized Kernel Embedding. El Moatasem Madani, Marwan Torki |
| 2018 | Interpretability and Reproducability in Production Machine Learning Applications. Sindhu Ghanta, Sriram Subramanian, Swaminathan Sundararaman, Lior Khermosh, Vinay Sridhar, Dulcardo Arteaga, Qianmei Luo, Dhananjoy Das, Nisha Talagala |
| 2018 | Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton |
| 2018 | Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition. Han Zou, Jianfei Yang, Yuxun Zhou, Costas J. Spanos |
| 2018 | Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. Hao-Min Liu, Yi-Hsuan Yang |
| 2018 | Learning Convolutional Neural Networks from Ordered Features of Generic Data. Eric Golinko, Thomas Sonderman, Xingquan Zhu |
| 2018 | Learning Generative Models of Social Interactions with Humans-in-the-Loop. Dan Feng, Pedro Sequeira, Elín Carstensdóttir, Magy Seif El-Nasr, Stacy Marsella |
| 2018 | Learning in a Continuous-Valued Attractor Network. Baram Sosis, Garrett E. Katz, James A. Reggia |
| 2018 | Learning to Fingerprint the Latent Structure in Question Articulation. Guntur Ravindra, Mrityunjay Kumar |
| 2018 | LiveFace: A Multi-task CNN for Fast Face-Authentication. Xiaowen Ying, Xin Li, Mooi Choo Chuah |
| 2018 | LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on Color. Ajkel Mino, Gerasimos Spanakis |
| 2018 | Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, Xinya Li, Renke Huang, Tianzhixi Yin, Guang Lin |
| 2018 | Local Sensitive Hashing (LSH) and Convolutional Neural Networks (CNNs) for Object Recognition. Mehdi Ghayoumi, Miguel Gomez, Kate E. Baumstein, Narindra Persaud, Andrew J. Perlowin |
| 2018 | Localized Deep Norm-CNN Structure for Face Verification. Adil Al-Azzawi, Hasanain Al-Sadr, Jianlin Cheng, Tony X. Han |
| 2018 | Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction. Lei Zhang |
| 2018 | Machine Cognition of Violence in Videos Using Novel Outlier-Resistant VLAD. Tonmoay Deb, Aziz Arman, Adnan Firoze |
| 2018 | Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients. Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah |
| 2018 | Machine Learning for Classification of Inhibitors of Hepatic Drug Transporters. Natalia Khuri, Shantanu Deshmukh |
| 2018 | Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash. Milan Koch, Thomas Bäck |
| 2018 | Machine Learning for US Army UAVs Sustainment: Assessing Effect of Sensor Frequency and Placement on Damage Information in the Ultrasound Signals. Rama Valisetty, Robert Haynes, Raju Namburu, Michael Lee |
| 2018 | Machine Learning with Certainty: A Requirement for Intelligent Process Automation. Eric Chalmers |
| 2018 | Machine Learning-Based Prediction of Prolonged Length of Stay in Newborns. Brandon Thompson, Karim O. Elish, Robert Steele |
| 2018 | MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho |
| 2018 | Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model. Rua Alsuroji, Nuha Zamzami, Nizar Bouguila |
| 2018 | Modelling Human Understanding of Thematic Roles with Motion Heuristics. Soumitra Samanta, Franklin Chang |
| 2018 | Modifying LSTM Posteriors with Manner of Articulation Knowledge to Improve Speech Recognition Performance. Pradeep Rengaswamy, K. Sreenivasa Rao |
| 2018 | Movement Pattern Based Authentication for Smart Mobile Devices. Khandaker Abir Rahman, Dustyn James Tubbs, Md. Shafaeat Hossain |
| 2018 | Multi-agent Reinforcement Learning Approach for Scheduling Cluster Tools with Condition Based Chamber Cleaning Operations. Cheolhui Hong, Tae-Eog Lee |
| 2018 | Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric. Monowar H. Bhuyan, Erik Elmroth |
| 2018 | Multi-stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms. Darwin Ttito Concha, Helena de Almeida Maia, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira |
| 2018 | Multiagent Based System for Secondary Education Using Machine Learning. Sikandar Ali, Aslam Muhammad, Noman Jazeb, Ana María Martínez Enríquez, Farooq Ahmad |
| 2018 | Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning. Leonardo Alfredo Mendoza, Evelyn Batista, Harold Dias de Mello, Marco Aurélio Pacheco |
| 2018 | Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition. Kyle A. Caudle, Randy C. Hoover, Karen S. Braman |
| 2018 | Multimodal Sentiment Analysis Using Deep Learning. Rakhee Sharma, Ngoc Le Tan, Fatiha Sadat |
| 2018 | Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace. Davi Alberto Sala, Azarakhsh Jalalvand, Andy Van Yperen-De Deyne, Erik Mannens |
| 2018 | Network Traffic Prediction Using Recurrent Neural Networks. Nipun Ramakrishnan, Tarun Soni |
| 2018 | Neural Adaptive Controller Applied to a VTOL Plant Using Takagi-Sugeno Fuzzy Model. Andres Morocho-Caiza, Jesus Rodriguez-Flores, Jorge Hernandez-Ambato |
| 2018 | Neural Fingerprint Enhancement. Edward Raff |
| 2018 | Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario. Benyamin Ahmadnia, Parisa Kordjamshidi, Gholamreza Haffari |
| 2018 | Novel Approaches to Activity Recognition Based on Vector Autoregression and Wavelet Transforms. Mubarak G. Abdu-Aguye, Walid Gomaa |
| 2018 | Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring. Jean-François Rajotte, Martin Sotir, Cedric Noiseux, Louis-Philippe Noel, Thomas Bertiere |
| 2018 | Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen |
| 2018 | Occupancy Detection in Smart Housing Using Both Aggregated and Appliance-Specific Power Consumption Data. Yan Gao, Alan Schay, Daqing Hou |
| 2018 | On Developing a UAV Pursuit-Evasion Policy Using Reinforcement Learning. Bogdan I. Vlahov, Eric Squires, Laura G. Strickland, Charles Pippin |
| 2018 | On the Performance Analysis of APIs Recognizing Emotions from Video Images of Facial Expressions. Ananya Bhattacharjee, Tanmoy Pias, Mahathir Ahmad, Ashikur Rahman |
| 2018 | Online Orthogonal Regression Based on a Regularized Squared Loss. Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka |
| 2018 | Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform. Shuai Zhao, Manoop Talasila, Guy Jacobson, Cristian Borcea, Syed Anwar Aftab, John F. Murray |
| 2018 | Parallel Attention Mechanisms in Neural Machine Translation. Julian Richard Medina, Jugal Kalita |
| 2018 | Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. Sai K. R. Nittala, Colin P. Elkin, Jay M. Kiker, Robert Meyer, James Curro, Ali K. Reiter, Kevin S. Xu, Vijay K. Devabhaktuni |
| 2018 | Position Specific Scoring Matrix and Synergistic Multiclass SVM for Identification of Genes. M. Arif Wani, Heena Farooq Bhat, Tariq Rashid Jan |
| 2018 | Predicting Computer Performance Based on Hardware Configuration Using Multiple Neural Networks. Leonardo Lopez, Michael Guynn, Meiliu Lu |
| 2018 | Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Erik Linstead |
| 2018 | Predicting Secondary Equity Offerings (SEOs) Using Machine Learning. Linlin Cui, Jianhua Chen, Wentao Wu |
| 2018 | Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network. Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Zhixuan Er, Xiaoyi Wang, Keyan Ren, Zhihai Wang |
| 2018 | Prediction of Sorghum Bicolor Genotype from In-Situ Images Using Autoencoder-Identified SNPs. Mihael Cudic, Harjatin Singh Baweja, Tanvir Parhar, Stephen Nuske |
| 2018 | Profile-Specific Regression Model for Progression Prediction of Alzheimer's Disease Using Longitudinal Data. Solale Tabarestani, Maryamossadat Aghili, Mehdi Shojaie, Christian Freytes, Malek Adjouadi |
| 2018 | Q-Learning Acceleration via State-Space Partitioning. Haoran Wei, Kevin Corder, Keith Decker |
| 2018 | ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features. Sena Busra Yengec Tasdemir, Kasim Tasdemir, Zafer Aydin |
| 2018 | Real-Time Prediction of Employee Engagement Using Social Media and Text Mining. Abbas Golestani, Mikhil Masli, N. Sadat Shami, Jennifer Jones, Abhilash Menon, Joydeep Mondal |
| 2018 | Realtime Email Delivery Failure Prediction Using the One-vs-All Classifier. Giruba Beulah Se, Abhijeet Singhai, Rashmi Ranjan Parida |
| 2018 | Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data. Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Jun Alex Gao, Mooi Choo Chuah |
| 2018 | Recursive Feature Elimination by Sensitivity Testing. Nicholas Sean Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James Shull, David Page |
| 2018 | Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games. Snehasis Mukhopadhyay, Omkar J. Tilak, Subir Chakrabarti |
| 2018 | Resource-Size Matters: Improving Neural Named Entity Recognition with Optimized Large Corpora. Sajawel Ahmed, Alexander Mehler |
| 2018 | SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning. Malak Abdullah, Mirsad Hadzikadic, Samira Shaikh |
| 2018 | STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Daniele Foroni, Goetz Brasche |
| 2018 | Screening of Heart Sounds Using Hidden Markov and Gammatone Filterbank Models. Ben Alexander, Gabriel Nallathambi, Nandakumar Selvaraj |
| 2018 | Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages. Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami |
| 2018 | Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction. Ahmed M. Abdelhameed, Magdy A. Bayoumi |
| 2018 | Sensitivity Analysis for Feature Selection. Firuz Kamalov |
| 2018 | Similarity Estimation for Classical Indian Music. Anusha Sridharan, Melody Moh, Teng-Sheng Moh |
| 2018 | Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification. Colin Stephen |
| 2018 | Smoother Robot Control from Convolutional Neural Networks Using Fuzzy Logic. William Born, Christopher J. Lowrance |
| 2018 | Sonar-to-Satellite Translation using Deep Learning. Giovanni G. Giacomo, Matheus Machado dos Santos, Paulo Drews Jr., Silvia S. C. Botelho |
| 2018 | Sparse Kernel PCA for Outlier Detection. Rudrajit Das, Aditya Golatkar, Suyash P. Awate |
| 2018 | Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed |
| 2018 | Supervised Max Hashing for Similarity Image Retrieval. Ali Al Kobaisi, Pawel Wocjan |
| 2018 | Supervised Transfer Learning for Product Information Question Answering. Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li |
| 2018 | Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. Zeyad Hailat, Xue-wen Chen |
| 2018 | The Semantic Shapes of Popular Music Lyrics: Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics in Semantic Natural Language Embedding Space. Mitsunori Ogihara, Daniel Galarraga, Gang Ren, Tiago Fernandes Tavares |
| 2018 | Time Series Classification to Improve Poultry Welfare. Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh |
| 2018 | Time Series Neural Networks for Real Time Sign Language Translation. Sujay S. Kumar, Tenzin Wangyal, Varun Saboo, Ramamoorthy Srinath |
| 2018 | Time Series Prediction of Agricultural Products Price Based on Time Alignment of Recurrent Neural Networks. Koichi Kurumatani |
| 2018 | Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data. Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S. H. Hoi |
| 2018 | Towards Affect Recognition through Interactions with Learning Materials. Esam Ghaleb, Mirela Popa, Enrique Hortal, Stylianos Asteriadis, Gerhard Weiss |
| 2018 | Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji |
| 2018 | Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz |
| 2018 | Trademark Design Code Identification Using Deep Neural Networks. Girish J. Showkatramani, Nidhi Khatri, Arlene Landicho, Darwin Layog |
| 2018 | Training Generative Adversarial Networks with Bidirectional Backpropagation. Olaoluwa Adigun, Bart Kosko |
| 2018 | Training an Emergency-Response Image Classifier on Signal Data. Aubrey ONeal, Benjamin Rodgers, Justin Segler, Dhiraj Murthy, Nandhini Lakuduva, Matthew Johnson, Keri K. Stephens |
| 2018 | Two-Stage Machine Learning Framework for Simultaneous Forecasting of Price-Load in the Smart Grid. T. Aruldoss Albert Victoire, Gobu B, Jaikumar S, Arulmozhi Nagarajan, Kanimozhi P, Amalraj Victoire T |
| 2018 | Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval. Pedro O. C. S. Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior, Silvia S. C. Botelho, Lucas M. Longaray, Giovanni G. Giacomo, Marcelo R. Pias |
| 2018 | Unsupervised Anomaly Based Botnet Detection in IoT Networks. Sven Nomm, Hayretdin Bahsi |
| 2018 | Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention. João Pereira, Margarida Silveira |
| 2018 | Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan |
| 2018 | Use Online Dictionary Learning to Get Parts-Based Decomposition of Noisy Data. Daming Lu |
| 2018 | User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning. Hasham Shahid Qureshi, Tobias Glasmachers, Rebecca Wiczorek |
| 2018 | Using Discriminative Graphical Models for Insurance Recommender Systems. Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung |
| 2018 | Using Multi-task and Transfer Learning to Solve Working Memory Tasks. T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy, Ahmet S. Ozcan |
| 2018 | Vehicle Action Prediction Using Artificial Intelligence. Kevin Meng, Cheng Shi, Yu Meng |
| 2018 | Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder. Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu |
| 2018 | Vision-Based Detection of Simultaneous Kicking for Identifying Movement Characteristics of Infants At-Risk for Neuro-Disorders. Devleena Das, Katelyn E. Fry, Ayanna M. Howard |
| 2018 | Web Application Attacks Detection Using Machine Learning Techniques. Gustavo Betarte, Álvaro Pardo, Rodrigo Martínez |
| 2018 | Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data. Mojtaba Zare, Janusz Wojtusiak |
| 2018 | What are they Researching? Examining Industry-Based Doctoral Dissertation Research through the Lens of Machine Learning. Ion Freeman, Ashley Haigler, Suzanna Schmeelk, Lisa Ellrodt, Tonya Fields |
| 2018 | Worker Filtering with Limited Supervision in Crowdsourcing Systems. Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu |
| 2018 | Xiao-Shih: The Educational Intelligent Question Answering Bot on Chinese-Based MOOCs. Hao-Hsuan Hsu, Nen-Fu Huang |
| 2018 | iCASSTLE : Imbalanced Classification Algorithm for Semi Supervised Text Learning. Debanjana Banerjee, Gyan Prabhat, Riyanka Bhowal |