ICMLA - RankMe

231 papers

Year	Title / Authors
2020	19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020 M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi
2020	A Cognitive Architecture for Object Recognition in Video. José C. Príncipe
2020	A Collaborative Filtering Approach to Successfully Completing The Marathon. Jakim Berndsen, Barry Smyth, Aonghus Lawlor
2020	A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. Fahimeh Farahnakian, Jukka Heikkonen
2020	A Curated Set of Labeled Code Tutorial Images for Deep Learning. Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead
2020	A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva
2020	A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity. Chelsea Parlett-Pelleriti, Erik J. Linstead, Emily S. Sumner, Hoang Q. Nguyen, Ryan Stokes, Barbara W. Sarnecka, Susanne M. Jaeggi
2020	A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools. Roberto Williams Batista, Reinaldo Sanchez-Arias
2020	A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks. Erion-Vasilis M. Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
2020	A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks. Chandresh Pravin, Varun Ojha
2020	A Power-aware Approach for Smart Health Monitoring and Decision Support. Carmela Comito, Deborah Falcone, Agostino Forestiero
2020	A Real Time Stock tendency prognostication using Quantopian. P Rajesh, Mansoor Alam, Mansour Tahernezhadi, K. Vamshikrishna Reddy, K. Chandrakala
2020	A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. Alexander M. Yuan, Shayok Chakraborty
2020	A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and Engagement. Maria Villa, Mikhail I. Gofman, Sinjini Mitra, Ali Almadan, Anoop Krishnan, Ajita Rattani
2020	A clustering-based biased Monte Carlo approach to protein titration curve prediction. Arun V. Sathanur, Nathan A. Baker
2020	A proposal for online analysis and identification of fraudulent financial transactions. Rodrigo Araujo Lima Torres, Marcelo Ladeira
2020	AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. Sarp Aykent, Gerry V. Dozier
2020	AI-based prediction for early detection of Tuberculosis in India based on environmental factors. Nupur Giri, Richard Joseph, Sanika Chavan, Raghav Heda, Reema Israni, Ritika Sethiya
2020	ARC-Net: Activity Recognition Through Capsules. Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad
2020	Accelerated Deep Learning on HPCC Systems. Robert K. L. Kennedy, Taghi M. Khoshgoftaar
2020	Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations. Stijn de Waele
2020	Adaptive Algorithm for Estimation of Model of Neural Activity in Brain-Computer Interfaces. Sergei A. Plotnikov, Alexander L. Fradkov, Denis N. Komarov
2020	Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available. Koceila Abid, Moamar Sayed-Mouchaweh, Laurence Cornez
2020	Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition. Adithya Prem Anand, Gokul H, Harish Srinivasan, Pranav Vijay, Vineeth Vijayaraghavan
2020	Al-based BMI Inference from Facial Images: An Application to Weight Monitoring. Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean
2020	An Efficient Pipeline for Pruning Convolutional Neural Networks. Chengcheng Li, Zi Wang, Hairong Qi
2020	An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles. Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.
2020	An Investigation of Fine-tuning Pre-trained Model for MR-to-Text Generation. Ting Hu, Christoph Meinel
2020	An embedded deep learning system for augmented reality in firefighting applications. Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
2020	Analysis of COVID-19 in different countries using Wigner energy distribution and clustering. Ranjani Murali
2020	Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. Shuyue Guan, Murray H. Loew
2020	Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense. Sayeed Shafayet Chowdhury, Kazi Mejbaul Islam, Rouhan Noor
2020	Application of Face Recognition in Tracing COVID-19 Fever Patients and Close Contacts. Weijun Tan, Jingfeng Liu
2020	Application of Machine Learning to Gasoline Direct Injection Systems: Towards a Data-Driven Development. Massimiliano Botticelli, Robin Hellmann, Paul Jochmann, Karl Georg Stapf, Erik Schünemann
2020	Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease. Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor D. Tomycz
2020	Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone. Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis
2020	Architecture for accurate polyp segmentation in motion-blurred colonoscopy images. Makoto Takamatsu, Makoto Hasegawa
2020	Audio-based Depression Screening using Sliding Window Sub-clip Pooling. Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner
2020	Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng
2020	Automatic generation of reviews of scientific papers. Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman
2020	BWCFace: Open-set Face Recognition using Body-worn Camera. Ali Almadan, Anoop Krishnan, Ajita Rattani
2020	Bayesian Sampler: Fairness in Sampling. Ishani Chakraborty
2020	Benchmarking Machine Learning Solutions in Production. Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli
2020	Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption. Yuwei Sun, Hiroshi Esaki, Hideya Ochiai
2020	CAE: Towards Crowd Anarchism Exploration. Mayamin Hamid Raha, Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Adnan Firoze, Mohammad Ashrafuzzaman Khan
2020	CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov
2020	COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach. Vishal Sharma, Curtis E. Dyreson
2020	CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images. Linchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang
2020	CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning. Wen Ge, Emmanuel Agu
2020	Car Detection Based Algorithm For Automatic Parking Space Detection. Raj Kirtibhai Patel, Praveen Meduri
2020	Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li
2020	Chromatogram Alignment Algorithm Based on Deep Neural Network and an Application in Bio-aerosol Detection. Yongyu Yang
2020	Combining Temporal Event Relations and Pre-Trained Language Models for Text Summarization. Divyanshu Daiya
2020	Conditional Score Matching for Image to Image Regression. Hao Xin, Michael Yu Zhu
2020	Connecting Distributed Pockets of Energy Flexibility through Federated Computations: Limitations and Possibilities. Javad Mohammadi, Jesse Thornburg
2020	Crafting Adversarial Examples for Deep Learning Based Prognostics. Gautam Raj Mode, Khaza Anuarul Hoque
2020	DAT-RNN: Trajectory Prediction with Diverse Attention. Zheng Li, Xiaocong Du, Yu Cao
2020	DEAL: Deep Evidential Active Learning for Image Classification. Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020	DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning. Dmitry Ivanov
2020	DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
2020	Deduplication of Advertisement Assets Using Deep Learning Ensembles. Abhijith Chakiat, Nishant Oli, Varun Kumar Modi
2020	Deep Learning Based Covert Attack Identification for Industrial Control Systems. Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
2020	Deep Learning Based Vehicle Detection From Aerial Images. Hüseyin Seçkin Dikbayir, Halil-Ibrahim Bülbül
2020	Deep Learning based Time Series Forecasting. Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik
2020	Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu
2020	Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB. Fahad Al-homayani, Mohammad H. Mahoor
2020	Deep Metric Learning for Proteomics. Mark Lennox, Neil Robertson, Barry Devereux
2020	Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical Birds. Jorge Castro, Roberto Vargas-Masís, Danny Alfaro Rojas
2020	Deep neural network for load forecasting centred on architecture evolution. Santiago Gomez-Rosero, Miriam A. M. Capretz, Syed Mir
2020	DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection. Danish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam
2020	Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth Estimators. Nanda H. Krishna, Praveen Kumar R, Rishi Vardhan K, Vineeth Vijayaraghavan
2020	Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. Weidong Zou, Yuanqing Xia, Weipeng Cao
2020	Depression Detection Using Atlas from fMRI Images. Marzieh Mousavian, Jianhua Chen, Steven G. Greening
2020	Detection of Reckless Driving using Deep Learning. Arun Chauhan, Shobhan Kumar, Lakshman Mahto, Jagadish D. N.
2020	Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis. Nitish Bahadur, Randy C. Paffenroth
2020	Discovering Gene-Disease Associations with Biomedical Word Embeddings. Payal Mitra, Thom Pijnenburg, Viachaslau Sazonau
2020	Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing. Raven Reisch, Tobias Hauser, Benjamin Lutz, Matteo Pantano, Tobias Kamps, Alois C. Knoll
2020	Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data. Britt Richardson, Dean F. Hougen
2020	Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. Ben Hadad, Boaz Lerner
2020	Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection. Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki
2020	EVISClass: a new evaluation method for image data stream classifiers. Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente
2020	Effective Big Data Caching through Reinforcement Learning. Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga
2020	Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy. James Mou, Jun Li
2020	Efficient Defect Detection from Consecutive Monocular Images by Deep Learning. Truong Vinh Truong Duy, Naotake Natori
2020	Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. William Thomson, Neelanjan Bhowmik, Toby P. Breckon
2020	Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning. Markus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov
2020	End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms. Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan
2020	Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length. Linhai Ma, Liang Liang
2020	Enhanced Anisotropic Diffusion-based CNN-LSTM Architecture for Video Face Liveness Detection. Ranjana Koshy, Ausif Mahmood
2020	Enhancing Piano Transcription by Dilated Convolution. Xian Wang, Lingqiao Liu, Qinfeng Shi
2020	Enhancing ontology-based home Care Services platform using Bayesian networks. Abdelweheb Gueddes, Mohamed Ali Mahjoub
2020	Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets. Yingnan Liu, Randy Clinton Paffenroth
2020	Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin
2020	Estimating the Effect of General Health Checkup Using Uncertainty Aware Attention of Deep Instrument Variable 2-Stage Network. SangKyun Jo, Duk Bin Jun, Sungho Park
2020	Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors. John Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas
2020	Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition. Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar
2020	Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric. Tony Gwyn, Mustafa Atay, Kaushik Roy, Albert C. Esterline
2020	Exploratory data analysis of the visitor's arrivals to Chichen-Itza's archaeological site, a case study. Edgar Avalos-Gauna, León Felipe Palafox-Novack, Dayanara Carrasco-Yépez
2020	Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices. Juan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina, Ernesto Biempica
2020	Falsification-Based Robust Adversarial Reinforcement Learning. Xiao Wang, Saasha Nair, Matthias Althoff
2020	FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots. Ahmed Imteaj, M. Hadi Amini
2020	Federated Learning of Neural Network Models with Heterogeneous Structures. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan
2020	Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. Navid Khoshavi, Connor Broyles, Yu Bi, Arman Roohi
2020	Finding and Segmenting Mathematical Equations in Students' Online Handwritten Assignments. Amirali Darvishzadeh, Thomas F. Stahovich
2020	Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takác
2020	Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM. Ryuichi Ueno, Dragos Calitoiu
2020	Forecasting Rogue Waves in Oceanic Waters. Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov
2020	From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks. Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke
2020	GCN with Clustering Coefficients and Attention Module. Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma
2020	GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
2020	Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty
2020	Generalization of iterative sampling in autoencoders. Miguel Solinas, Clovis Galiez, Romain Cohendet, Stephane Rousset, Marina Reyboz, Martial Mermillod
2020	Generalized Adversarial Distances to Efficiently Discover Classifier Errors. Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov
2020	Geographic Boosting Tree: Modeling Non-Stationary Spatial Data. Liangdong Deng, Malek Adjouadi, Naphtali Rishe
2020	Geographical feature classification from text using (active) convolutional neural networks. Liping Yang, Alan M. MacEachren, Prasenjit Mitra
2020	Graph Neural Networks for Model Recommendation using Time Series Data. Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
2020	HASeparator: Hyperplane-Assisted Softmax. Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos
2020	HPT-RL: Calibrating Power System Models based on Hierarchical Parameter Tuning and Reinforcement Learning. Lei Lin, Wencheng Wu, Zhongkai Shangguan, Safwan Wshah, Ramadan Elmoudi, Beilei Xu
2020	Harmonic Structure-Based Neural Network Model for Music Pitch Detection. Xian Wang, Lingqiao Liu, Qinfeng Shi
2020	Heart Audio Classification Using Deep Learning. Arooshi Taneja, Yashvi Gulati, Tushar Chugh, Pawan Joshi, Narina Thakur
2020	HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
2020	Hybrid Approaches for Augmentation of Translation Tables for Indian Languages. K. M. Kavitha, Vaishnavi Naik, Sahana Angadi, Sandra Satish, Suman Nayak
2020	Image Watermarking with Region of Interest Determination Using Deep Neural Networks. Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi, Shahram Shirani, Pejman Khadivi
2020	Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain
2020	Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees. Baris Bayram, Bilge Köroglu, Mehmet Gönen
2020	Improving the Donor Journey with Convolutional and Recurrent Neural Networks. Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs
2020	Interpreting Attention Models: LSTM vs. CNN : A case study on customer activation. Koen Weterings, Shir-Lee Kimelman, Stefano Bromuri, Marko C. J. D. van Eekelen
2020	K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analytics. Andrey Sapegin, Christoph Meinel
2020	Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec
2020	Know-Linking: An approach to generate shared knowledge between several actors in companies application in aerospace manufacturer. Elamin Abderrahim, Nada Matta, Hassan Atifi
2020	Knowledge Graph Extraction from Videos. Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
2020	LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. Timothy Reese, Michael Zhu
2020	LOCO: Logistics Objects in Context. Christopher Mayershofer, Dimitrij-Marian Holm, Benjamin Molter, Johannes Fottner
2020	Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos
2020	Learning across label confidence distributions using Filtered Transfer Learning. Seyed Ali Madani Tonekaboni, Andrew E. Brereton, Zhaleh Safikhani, Andreas Windemuth, Benjamin Haibe-Kains, Stephen MacKinnon
2020	Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell
2020	Learning with Unpaired Data. Jiebo Luo
2020	Linguistic Features for Detecting Fake Reviews. Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	Loss Scheduling for Class-Imbalanced Image Segmentation Problems. Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit
2020	Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang
2020	Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid Attacks. Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
2020	Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives. Jesse Russell
2020	Main Content Extraction from Web Pages. Stanislas Morbieu, Guillaume Bruneval, Mohamed Lacarne, Mohamed Kone, François-Xavier Bois
2020	Malware Classification using Recurrence Plots and Deep Neural Network. Sara Sartoli, Yong Wei, Shane Hampton
2020	MarioDAgger: A Time and Space Efficient Autonomous Driver. Farzad Kamrani, Andreas Elers, Mika Cohen, Amir Hossein Payberah
2020	MaskedFusion: Mask-based 6D Object Pose Estimation. Nuno Pereira, Luís A. Alexandre
2020	Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning. Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks
2020	MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching. Rahul Mishra, Piyush Yadav, Rémi Calizzano, Markus Leippold
2020	Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	Multi-Class Object Detection Using 2D Poses. Christopher Mayershofer, Ala Hammami, Johannes Fottner
2020	Multi-UCAV Air Combat in Short-Range Maneuver Strategy Generation using Reinforcement Learning and Curriculum Learning. Weiren Kong, Deyun Zhou, Kai Zhang, Zhen Yang, Wansha Yang
2020	Multi-class segmentation of Diabetic Retinopathy lesions: effects of metrics, improvements and loss. Pedro Furtado
2020	Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri
2020	Multimodal Word Sense Disambiguation in Creative Practice. Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti
2020	Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification. Eugenio Vocaturo, Ester Zumpano
2020	N-BEATS-RNN: deep learning for time series forecasting. Attilio Sbrana, André Luis Debiaso Rossi, Murilo Coelho Naldi
2020	NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks. Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu
2020	Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints. Gábor Balázs, Walter Stechele
2020	Neural Data Augmentation Techniques for Time Series Data and its Benefits. Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar
2020	New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. Inès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
2020	On Analyzing COVID-19-related Hate Speech Using BERT Attention. Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang
2020	On The Application of Domain Adversarial Neural Network to Fault Detection and Isolation in Power Plants. Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli
2020	On the transferability of adversarial examples between convex and 01 loss models. Yunzhe Xue, Meiyan Xie, Usman Roshan
2020	Online Cluster Drift Detection for Novelty Detection in Data Streams. Shon Mendelson, Boaz Lerner
2020	Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. Saad Mohamad, Abdelhamid Bouchachia
2020	Optimizing CNN using Fast Fourier Transformation for Object Recognition. Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
2020	PENet: Object Detection Using Points Estimation in High Definition Aerial Images. Ziyang Tang, Xiang Liu, Baijian Yang
2020	Pandemic spread prediction and healthcare preparedness through financial and mobility data. Nidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora
2020	Partly Supervised Multi-Task Learning. Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos
2020	Performance of CatBoost and XGBoost in Medicare Fraud Detection. John T. Hancock, Taghi M. Khoshgoftaar
2020	Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. Ritu Joshi, Shan Suthaharan
2020	Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network. Dagimawi D. Eneyew, Miriam A. M. Capretz, Girma T. Bitsuamlak, Syed Mir
2020	Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. Budhaditya Saha, Vedant Mandloi, Shameek Ghosh
2020	Predicting purchase probability of retail items using an ensemble learning approach and historical data. Archika Sharma, M. Omair Shafiq
2020	Product Recommendation System for Supermarket. Pranavi Satheesan, Prasanna S. Haddela, Jesuthasan Alosius
2020	Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance. Ingrid Nascimento, Pedro Castro, Sofia Klautau, Luan Gonçalves, Carnot Filho, Flávio Brito, Aldebaro Klautau, Silvia Lins
2020	Quantifying Challenges in the Application of Graph Representation Learning. Antonia Gogoglou, C. Bayan Bruss, Brian Nguyen, Reza Sarshogh, Keegan E. Hines
2020	RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee
2020	Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network. Muhammad Arsalan, Avik Santra, Vadim Issakov
2020	Rapid Class Augmentation For Continuous Deep Learning Applications. Hanna E. Witzgall
2020	Real Time Data Science Decision Tree Approach to Approve Bank Loan from Lawyer's Perspective. P Rajesh, Mansoor Alam, Mansour Tahernezhadi, C. Vikram, P. N. Phaneendra
2020	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020	Reducing Artifacts in GAN Audio Synthesis. Nathan Thiem, Marko Orescanin, James Bret Michael
2020	Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection. Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans
2020	Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs. Alba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira
2020	Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems. Bassel Ali, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui
2020	Resource Management in Cloud Computing Using Machine Learning: A Survey. Sepideh Goodarzy, Maziyar Nazari, Richard Han, Eric Keller, Eric Rozner
2020	Resource-aware On-device Deep Learning for Supermarket Hazard Detection. M. G. Sarwar Murshed, James J. Carroll, Nazar Khan, Faraz Hussain
2020	Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks. Srikanth Chandar, Anish Reddy, Muvazima Mansoor, Suresh Jamadagni
2020	Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves
2020	Robust Incremental Logistic Regression for Detection of Anomaly Using Big Data. Topon Kumar Paul, Ken Ueno
2020	SAFL: A Self-Attention Scene Text Recognizer with Focal Loss. Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen
2020	SASBO: Self-Adapting Safe Bayesian Optimization. Stefano De Blasi, Alexander Gepperth
2020	Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. Topon Kumar Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota
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2020	Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner
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2020	Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images. Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan
2020	Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. Anoop Krishnan, Ali Almadan, Ajita Rattani
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2020	Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke Authentication. Debzani Deb, Mina M. Guirguis
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2020	Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source Code. Gustavo Eloi de Paula Rodrigues, Alexandre Melo Braga, Ricardo Dahab
2020	Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students. Karuna Nayak, Shailesh Krishna, Khanh Tran, Marissa Harris, Ana Maria Barrera, Kim Coble, Anagha Kulkarni
2020	Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli
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2020	What are they Reporting? Examining Student Cybersecurity Course Surveys through the Lens of Machine Learning. Denise Dragos, Suzanna Schmeelk
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