Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

40 / 340 papers shown

Title
Human-in-the-loop Handling of Knowledge Drift A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 42 7 0 27 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 337 883 0 01 Mar 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language Models Angeliki Lazaridou A. Kuncoro E. Gribovskaya Devang Agrawal Adam Liska ... Sebastian Ruder Dani Yogatama Kris Cao Susannah Young Phil Blunsom VLM 140 219 0 03 Feb 2021
Analysis of hidden feedback loops in continuous machine learning systems A. Khritankov 58 5 0 14 Jan 2021
IIRC: Incremental Implicitly-Refined Classification Mohamed Abdelsalam Mojtaba Faramarzi Shagun Sodhani A. Chandar CLL 58 29 0 23 Dec 2020
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors Kungang Zhang A. Bui D. Apley 28 10 0 12 Dec 2020
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study Paolo Soda N. DÁmico J. Tessadori G. Valbusa V. Guarrasi ... Alessio Del Bue F. Tedoldi Marco Alì Diego Sona S. Papa 77 75 0 11 Dec 2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic Lucas Baier Niklas Kühl Jakob Schöffer G. Satzger 23 4 0 04 Dec 2020
Federated Learning for Personalized Humor Recognition Xu Guo Han Yu Boyang Albert Li Hao Wang Pengwei Xing Siwei Feng Zaiqing Nie Chunyan Miao FedML 95 13 0 03 Dec 2020
AI Governance for Businesses Johannes Schneider Rene Abraham Christian Meske Jan vom Brocke AI4TS 101 70 0 20 Nov 2020
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models Taraneh Younesian Chi Hong Amirmasoud Ghiassi Robert Birke L. Chen NoLa FedML 59 3 0 13 Nov 2020
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test Zicun Cong Lingyang Chu Yu Yang J. Pei 34 0 0 01 Nov 2020
Active Learning for Human-in-the-Loop Customs Inspection Sundong Kim Tung Mai Sungwon Han Sungwon Park Thien Khanh Jaechan So Karandeep Singh M. Cha 42 8 0 27 Oct 2020
Overcoming Conflicting Data when Updating a Neural Semantic Parser David Gaddy Alex Kouzemtchenko Pavankumar Reddy Muddireddy Prateek Kolhar Rushi Shah 28 1 0 23 Oct 2020
Adaptive Deep Forest for Online Learning from Drifting Data Streams Lukasz Korycki Bartosz Krawczyk 22 4 0 14 Oct 2020
CURIE: A Cellular Automaton for Concept Drift Detection J. Lobo Javier Del Ser E. Osaba Albert Bifet Francisco Herrera AI4TS 29 7 0 21 Sep 2020
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki Bartosz Krawczyk AAML 118 23 0 20 Sep 2020
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams Lukasz Korycki Bartosz Krawczyk CLL 27 6 0 20 Sep 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 76 25 0 15 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 95 223 0 21 Aug 2020
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations Anjin Liu Jie Lu Guangquan Zhang 155 15 0 09 Aug 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 94 34 0 28 Jul 2020
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing S. Tripathi David Muhr Manuel Brunner F. Emmert-Streib H. Jodlbauer M. Dehmer 35 45 0 28 Jul 2020
$Transfer Learning via $\ell_1$ Regularization$ Transfer Learning via $\ell_1$ Regularization Masaaki Takada Hironori Fujisawa 48 7 0 26 Jun 2020
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory L. Pagliosa R. Mello 16 0 0 24 Jun 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 67 2 0 12 Jun 2020
Data science on industrial data -- Today's challenges in brown field applications Tilman Klaeger Sebastian Gottschall Lukas Oehm AI4CE 21 7 0 10 Jun 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 66 34 0 06 May 2020
Efficient Quantile Tracking Using an Oracle Hugo Lewi Hammer Anis Yazidi Michael A. Riegler Håvard Rue 54 0 0 27 Apr 2020
Concept Drift Detection via Equal Intensity k-means Space Partitioning Anjin Liu Jie Lu Guangquan Zhang 72 66 0 24 Apr 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions Jon Vadillo Roberto Santana Jose A. Lozano AAML 51 0 0 14 Apr 2020
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation Anjin Liu Jie Lu Guangquan Zhang 33 49 0 13 Apr 2020
Continual Learning with Gated Incremental Memories for sequential data processing Andrea Cossu Antonio Carta D. Bacciu BDL CLL 38 22 0 08 Apr 2020
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data Eric L. Manibardo I. Laña J. Lobo Javier Del Ser AI4TS 36 3 0 27 Mar 2020
LUNAR: Cellular Automata for Drifting Data Streams J. Lobo Javier Del Ser Francisco Herrera AI4TS 38 4 0 06 Feb 2020
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 87 1 0 17 Dec 2019
Estimating regression errors without ground truth values Henri Tiittanen Emilia Oikarinen A. Henelius Kai Puolamäki 17 1 0 09 Oct 2019
Spiking Neural Networks and Online Learning: An Overview and Perspectives J. Lobo Javier Del Ser Albert Bifet N. Kasabov 80 227 0 23 Jul 2019
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments Andri Ashfahani Mahardhika Pratama 106 71 0 17 Oct 2018
A General Framework for Abstention Under Label Shift Amr M. Alexandari A. Kundaje Avanti Shrikumar 29 2 0 20 Feb 2018