A review of novelty detection
Cited by (1,003)
Items 801–900 of 1,003
- Which Outlier Detector Should I use?Kai Ming Ting, Sunil Aryal, Takashi Washio · 2018 · Proceedings
- Towards Autonomous Knowledge Creation from Big Data in Smart CitiesSławomir Nowaczyk, Thorsteinn S. Rognvaldsson, Yuantao Fan, Ece Calikus · 2020 · Springer eBooks
- Graph iForest: Isolation of anomalous and outlier graphsDaniele Zambon, Lorenzo Livi, Cesare Alippi · 2022 · International Joint Conference on Neural Networks (IJCNN)
- A-contrario detection and tracking from optical telescope dataBenjamin G. Feuge-Miller, Moriba Kemessia Jah, Apoorva T. Karra, Shiva Iyer, D. Kucharski · 2023 · Acta Astronautica
- Research on Anomaly Detection in Time Series: Exploring United States Exports and Imports Using Long Short-Term MemorySakshi AGGARWAL · 2023 · Journal of Research Innovation and Technologies
- Integrative conformal p-values for out-of-distribution testing with labelled outliersZiyi Liang, Matteo Sesia, Wenguang Sun · 2024 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
- A new strategy for data-driven damage diagnosis of shear structures adapted to ambient vibrationXuan Zhang, Luyu Li · 2024 · Measurement
- Anomaly‐based Alzheimer's disease detection using entropy‐based probability Positron Emission Tomography imagesHusnu Baris Baydargil, Jang‐Sik Park, İbrahim Furkan İnce · 2024 · ETRI Journal
- A one-class approach to cardiotocogram assessmentDimitris Gavrilis, George Nikolakopoulos, George Georgoulas · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Semi-supervised Learning Using Incremental Support Vector Machine and Extreme Value Theory in Gesture DataHusam Al-Behadili, A. Grumpe, Lubaba Migdadi, Christian Wöhler · 2016 · UKSim International Conference on Computer Modelling and Simulation (UKSim)
- Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart GridsEnrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli · 2018 · International Joint Conference on Neural Networks (IJCNN)
- Data Analytics for Performance Evaluation Under Uncertainties Applied to an Industrial Refrigeration PlantJosep Cirera, Jesus A. Carino, Daniel Zurita, J. A. Ortega · 2019 · IEEE Access
- Usage Identification of Anomaly Detection in an Industrial ContextFiras Zoghlami, Philip Kurrek, Mark Jocas, Giovanni Luca Masala, Vahid Salehi · 2019 · Proceedings of the ... International Conference on Engineering Design
- Automated active fault detection in fouled dissolved oxygen sensorsOscar Samuelsson, Jesús Zambrano, Anders Björk, Bengt Carlsson · 2019 · Water Research
- Anomaly Detection for Visual Quality Control of 3D-Printed ProductsLoek Tonnaer, Jiapeng Li, Vladimir Osin, Mike Holenderski, Vlado Menkovski · 2019 · International Joint Conference on Neural Networks (IJCNN)
- Introduction to Extreme Seeking EntropyJan Vrba, Jan Mareš · 2020 · Entropy
- Flagging Implausible Inspection Reports of Distribution Transformers via Anomaly DetectionBin Xiang, Zhixiong Liu, Kunyi Zhang · 2020 · IEEE Access
- A Robotics Inspection System for Detecting Defects on Semi-specular Painted Automotive SurfacesSohail Akhtar, Adarsh Tandiya, Medhat A. Moussa, Cole Tarry · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- CNN‐based novelty detection for terrestrial and extra‐terrestrial autonomous explorationLoukas Bampis, Antonios C. Gasteratos, Evangelos Boukas · 2021 · IET Cyber-Systems and Robotics
- Triangle-based outlier detectionJorge Navarro, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza · 2022 · Pattern Recognition Letters
- SNDProb: A probabilistic approach for streaming novelty detectionAnder Carreño, Iñaki Inza, Jose Antonio Lozano · 2022 · IEEE Transactions on Knowledge and Data Engineering
- Novelty detection for metabolic dynamics established on breast cancer tissue using 2D NMR TOCSY spectraLubaba Migdadi, Ahmad Telfah, Roland Hergenröder, Christian Wöhler · 2022 · Computational and Structural Biotechnology Journal
- Machine Learning for Cyber Physical Systems2019 · Technologien für die intelligente Automation
- Machine Learning Techniques and Systems for Mask-Face Detection—Survey and a New OOD-Mask ApproachYouwen Hu, Yicheng Xu, Huiping Zhuang, Zhenyu Weng, Zhiping Lin · 2022 · Applied Sciences
- A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly DetectionShakhnaz Akhmedova, Становов Владимир Вадимович, Yukihiro Kamiya · 2022 · Algorithms
- Fast and Efficient Image Novelty Detection Based on Mean-ShiftsMatthias Hermann, Georg Umlauf, Bastian Goldlüecke, Matthias Franz · 2022 · Sensors
- An active inference approach to on-line agent monitoring in safety–critical systemsLuis O. Ávila, Ernesto Carlos Martinez · 2015 · Advanced Engineering Informatics
- Application of SsVGMM to medical data - classification with novelty detectionFan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda · 2017 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Probabilistic Data-Driven Method for Limb Movement Detection during SleepMatteo Cesari, Julie Anja Engelhard Christensen, Poul Jennum, Helge B. D. Sørensen · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Forecasting and Early Warning for Adversarial Targeting in Industrial Control SystemsMasoud Abbaszadeh, Lalit K. Mestha, Weizhong Yan · 2018 · IEEE Conference on Decision and Control (CDC)
- Cognitive Identity Management: Synthetic Data, Risk and TrustSvetlana N. Yanushkevich, Adrian Stoica, Peter Shmerko, W.G.J. Howells, Keeley A. Crockett, Richard Guest · 2020 · International Joint Conference on Neural Networks (IJCNN)
- Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change DetectionJosé A. Padrón Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps‐Valls · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly DetectionJulien Lesouple, Jean‐Yves Tourneret · 2020 · European Signal Processing Conference (EUSIPCO)
- Spectral-texture approach to hyperspectral image analysis for plant classification with SVMsAli AlSuwaidi, Bruce Grieve, Hujun Yin · 2017 · IEEE International Conference on Imaging Systems and Techniques (IST)
- Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An OverviewMichael Kläs · 2018 · arXiv (Cornell University)
- Out-of-Distribution Detection with Distance Guarantee in Deep Generative ModelsYufeng Zhang, Wanwei Liu, Zhenbang Chen, Ji Wang, Zhiming Liu, Kenli Li, Hongmei Wei, Zuoning Chen · 2020 · arXiv (Cornell University)
- GenQ: Quantization in Low Data Regimes with Generative Synthetic DataYuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda · 2024 · Lecture notes in computer science
- Enhanced anomaly traffic detection framework using BiGAN and contrastive learningHaoran Yu, Wenchuan Yang, Baojiang Cui, Runqi Sui, Xuedong Wu · 2024 · Cybersecurity
- Abnormal Sound Detection of Wind Turbine Gearboxes Based on Improved MobileFaceNet and Feature FusionYuelong Liang, Haorui Liu, Yayu Chen · 2024 · Applied Sciences
- A Conceptual Framework for Measuring Ecological NoveltyTimothy L. Staples, Jessica L. Blois, Katie L. Cramer, Emer T. Cunningham, María Dornelas, Simon Graeme Haberle, Tina Heger, Wolfgang Kiessling, Anne E. Magurran, Aaron O’Dea et al. · 2025 · Global Ecology and Biogeography
- Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior DetectionYongqi Dong, Lanxin Zhang, Haneen Farah, Arkady Zgonnikov, Bart van Arem · 2025 · Transportation Research Record Journal of the Transportation Research Board
- Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-codeStefano Dalla Palma, Majid Mohammadi, Dario Di Nucci, Damian A. Tamburri · 2020
- Heart Disease Prediction based on Physiological Parameters Using Ensemble Classifier and Parameter OptimizationAgung Muliawan, A. Rizal, S. Hadiyoso · 2023 · Journal of Applied Engineering and Technological Science (JAETS)
- Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distancesAli Nikdel, Hashem Shariatmadar · 2024 · Structural Health Monitoring
- Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation TrustsMarco A. F. Pimentel, Alistair E. W. Johnson, Julie Lorraine Darbyshire, Lionel Tarassenko, David Andrew Clifton, Andrew Walden, Ian Rechner, Peter Watkinson, Duncan Young · 2024 · BMJ Open
- Using a surrogate model for the detection of defective PWR fuel rodsKarine Chevalier-Jabet, L. Verma, Francois Kremer · 2024 · Annals of Nuclear Energy
- Double kernel and minimum variance embedded broad learning system based autoencoder for one-class classificationNingxia He, Junwei Duan, Jun Lyu · 2024 · Neurocomputing
- Using AI to Improve Risk Management: A Case Study of a Leading Telecommunications ProviderHelena Richard, Peter Dornheim, Thorsten Weber · 2024 · IEEE Access
- Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman DivergenceYunge Wang, Lingling Zhang, Tong Si, Graham Bishop, Haijun Gong · 2025 · Algorithms
- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen · 2025 · Lecture notes in computer science
- Hybrid framework for categorising sounds of Mysticete whalesStavros Ntalampiras · 2016 · IET Signal Processing
- Edge-Based RNN Anomaly Detection Platform in Machine ToolsChia‐Yu Lin, Chih-Ping Weng, Li‐Chun Wang, Hong-Han Shuai, Wen-Peng Tseng · 2019 · Smart Science
- Automated design process for hybrid regression modeling with a one-class SVMMoritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl · 2019 · at - Automatisierungstechnik
- Kernel dependence analysis and graph structure morphing for novelty detection with high-dimensional small size data setReza Mohammadi-Ghazi, Roy E. Welsch, Oral Büyüköztürk · 2020 · Mechanical Systems and Signal Processing
- Combining Classifiers for Foreign Pattern RejectionWładysław Homenda, Agnieszka Jastrzębska, Witold Pedrycz, Fusheng Yu · 2020 · Journal of Artificial Intelligence and Soft Computing Research
- Enhancing the Prediction of Mach Number in Wind Tunnel With a Regression-Based Outlier Detection FrameworkHongyan Zhao, Dong Yu, Yue Wang, Biao Wang · 2021 · IEEE Access
- A novel semi-supervised framework for call center agent malpractice detection via neural feature learningLeonardo O. Iheme, Şükrü Ozan · 2022 · Expert Systems with Applications
- Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic GenerationArtvin-Darien Gonzalez-Abreu, Roque Alfredo Osornio-Rios, David Alejandro Elvira‐Ortiz, Arturo Yosimar Jaen-Cuéllar, Miguel Delgado-Prieto, Jose Alfonso Antonino Daviu · 2023 · Sensors
- Knowledge Conditioned Variational Learning for One-Class Facial Expression RecognitionJunjie Zhu, B. Luo, Tianyu Yang, Zewen Wang, Xibin Zhao, Yue Gao · 2023 · IEEE Transactions on Image Processing
- CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation ProcessingPhilipp J. Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff–Popien, Thomy Phan · 2023 · International Joint Conference on Artificial Intelligence
- Bridge Damage Detection Using Ambient Loads by Bayesian Hypothesis Testing for a Parametric Subspace of an Autoregressive ModelYoshinao Goi, Chul‐Woo Kim · 2023 · Structural Control and Health Monitoring
- Operations-aware novelty detection framework for CNC machine tools: proposal and applicationMarco Macchi, Laura Cattaneo, Adalberto Polenghi, Danilo Bruno, Sofia Mosci, Fabio Ferriani, Roberto Caneva · 2023 · The International Journal of Advanced Manufacturing Technology
- Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k-mersHaotian Ren, Yixue Li, Tao Huang · 2023 · Microorganisms
- Enhanced recurrent network trainingAmir H. Jafari, Martin Hagan · 2015 · International Joint Conference on Neural Networks (IJCNN)
- Unsupervised Detection of Unusual Behaviors from Smart Home Energy DataWelma Pereira, Alois Ferscha, Klemens Weigl · 2016 · Lecture notes in computer science
- Evaluation of Novelty Detection Methods for Condition Monitoring applied to an Electromechanical SystemMiguel Delgado-Prieto, Jesus A. Carino, Daniel Zurita, Marta Millan Gonzalvez, J. A. Ortega, René de Jesús Romero-Troncoso · 2017 · InTech eBooks
- Real-time EMG-based Human Machine Interface using dynamic hand gesturesSungtae Shin, Reza Tafreshi, Reza Langari · 2017 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
- Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture ModelsAndreas Grünauer, Georg Halmetschlager-Funek, Johann Prankl, Markus Vincze · 2017 · Lecture notes in computer science
- Tracking Dynamics in Concurrent Digital TwinsMichael Borth, Emile van Gerwen · 2018 · Springer eBooks
- One-class Random Maxout Probabilistic Network for Mobile Touchstroke AuthenticationSeokmin Choi, Inho Chang, Andrew Beng Jin Teoh · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
- Rumour As an Anomaly: Rumour Detection with One-Class ClassificationAmir Ebrahimi Fard, Majid Mohammadi, Scott W. Cunningham, Bartel Van de Walle · 2019 · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
- Outlier Mining Methods Based on Graph Structure AnalysisPablo Amil, Nahuel Almeira, Cristina Masoller · 2019 · Frontiers in Physics
- Online anomaly search in time series: significant online discordsP. Avogadro, Luca Palonca, M. Dominoni · 2020 · Knowledge and Information Systems
- Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection SystemAshenafi Zebene Woldaregay, Ilkka Kalervo Launonen, Eirik Årsand, David J. Albers, Anna Holubová, Gunnar Hartvigsen · 2020 · Journal of Medical Internet Research
- Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity RepresentationsAlessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi · 2020 · Entropy
- Design of a Deep Post Gripping Perception Framework for Industrial RobotsFiras Zoghlami, Philip Kurrek, Mark Jocas, Giovanni Luca Masala, Vahid Salehi · 2020 · Journal of Computing and Information Science in Engineering
- Task-Aware Novelty Detection for Visual-based Deep Learning in Autonomous SystemsValerie Chen, Man-Ki Yoon, Zhong Shao · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Detecting Execution Anomalies As an Oracle for Autonomy Software RobustnessDeborah S. Katz, Casidhe Hutchison, Milda Zizyte, Claire Le Goues · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Novelty Detection of Beverage Bottle Images Based on Transfer LearningSupanat Jintawatsakoon, Werayuth Charoenruengkit · 2020
- Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled OperationYannick Robin, Payman Goodarzi, Tobias Baur, Caroline Schultealbert, Andreas Schütze, Tizian Schneider · 2021 · IEEE International Instrumentation and Measurement Technology Conference
- Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape ReconstructionDana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas R. Vetter · 2021 · Lecture notes in computer science
- Comparative Evaluation of Semi-Supervised Anomaly Detection Algorithms on High-Integrity Digital SystemsGianluca Martino, Arne Grünhagen, Julien Branlard, Annika Eichler, Görschwin Fey, H. Schlarb · 2021 · Euromicro Conference on Digital System Design (DSD)
- An Unsupervised Noisy Sample Detection Method for Deep Learning-Based Health Status PredictionYan‐Hui Lin, Liang Chang · 2021 · IEEE Transactions on Instrumentation and Measurement
- An Anomaly Detection Model for ADS-B Systems Based on Improved GAN and LSTM NetworksXinying Guo, Chunhua Zhu, Jing Yang, Yan Xiao · 2021 · IEEE International Conference on Communication Technology (ICCT)
- Variational Autoencoder with Gaussian Random Field prior: Application to unsupervised animal detection in aerial imagesHugo Gangloff, Minh‐Tan Pham, Luc Courtrai, Sébastien Lefèvre · 2024 · ISPRS Journal of Photogrammetry and Remote Sensing
- Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical SystemsMiguel Delgado-Prieto, Jesus A. Carino, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Luis Romeral, René de Jesús Romero-Troncoso · 2018 · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- Anomaly Detection for Short Texts: Identifying Whether Your Chatbot Should Switch from Goal-Oriented Conversation to Chit-ChattingAmir Bakarov, Vasiliy Yadrintsev, Илья Владимирович Соченков · 2018 · Communications in computer and information science
- A Two-Step Framework for Novelty Detection in Activities of Daily LivingSilvia Rossi, Luigi Bove, Sergio Di Martino, Giovanni Ercolano · 2018 · Lecture notes in computer science
- Security of Data Science and Data Science for SecurityBernhard Tellenbach, Marc Rennhard, Remo Schweizer · 2019 · Springer eBooks
- Trajectory-based gait pattern shift detection for assistive robotics applicationsJoão Paulo, Paulo Peixoto, Paula Amorim · 2019 · Intelligent Service Robotics
- How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing MethodsClément Christophe, Julien Velcin, Jairo Cugliari, Philippe Suignard, Manel Boumghar · 2020 · Lecture notes in computer science
- History-Based Anomaly Detector: An Adversarial Approach to Anomaly DetectionPierrick Chatillon, Coloma Ballester · 2020 · Advances in intelligent systems and computing
- Novel Feature Extraction Methods for Authentication via Mouse Dynamics with Semi-Supervised LearningMetehan Yıldırım, Emin Anarım · 2019 · Innovations in Intelligent Systems and Applications Conference (ASYU)
- Parameterless Semi-supervised Anomaly Detection in Univariate Time SeriesOleg Iegorov, Sebastian Fischmeister · 2021 · Lecture notes in computer science
- A novelty detection approach to monitoring of epicyclic gearbox healthZiemowit Dworakowski, Kajetan Dziedziech, Adam Jabłoński · 2018 · Metrology and Measurement Systems
- Detecting anomalies in robot time series data using stochastic recurrent networksMaximilian Sölch · 2015 · KTH Publication Database DiVA (KTH Royal Institute of Technology)
- On Anomaly Interpretation via Shapley ValuesNaoya Takeishi, Yoshinobu Kawahara · 2020 · arXiv (Cornell University)
- A Unifying Framework for Formal Theories of Novelty:Framework, Examples and DiscussionTerrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, J. Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Li, C. et al. · 2020 · arXiv (Cornell University)
- Are Bayesian neural networks intrinsically good at out-of-distribution detection?Henning, Christian, D'Angelo, Francesco, Benjamin F. Grewe · 2021 · Zurich Open Repository and Archive (University of Zurich)
- Uncertainty-based out-of-distribution detection requires suitable function space priors.Francesco D’Angelo, Christian Henning · 2021 · arXiv (Cornell University)