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Tony Lindgren
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Journal Articles
- 2024
- [j8]Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Time: efficient and effective interpretable multivariate time series classification. Data Min. Knowl. Discov. 38(1): 206-236 (2024) - [j7]John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl:
Automotive fault nowcasting with machine learning and natural language processing. Mach. Learn. 113(2): 843-861 (2024) - [j6]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Ijuice: integer JUstIfied counterfactual explanations. Mach. Learn. 113(8): 5731-5771 (2024) - [j5]He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Ran Wang, Yanjie Song:
A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j4]Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami:
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. Comput. Aided Civ. Infrastructure Eng. 38(7): 821-848 (2023) - [j3]Maharshi Harshadbhai Dhada, Ajith Kumar Parlikad, Olof Steinert, Tony Lindgren:
Weibull recurrent neural networks for failure prognosis using histogram data. Neural Comput. Appl. 35(4): 3011-3024 (2023) - 2019
- [j2]Gishan Don Ranasinghe, Tony Lindgren, Mark Girolami, Ajith Kumar Parlikad:
A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability. IEEE Access 7: 183996-184007 (2019) - 2004
- [j1]Tony Lindgren, Henrik Boström:
Resolving rule conflicts with double induction. Intell. Data Anal. 8(5): 457-468 (2004)
Conference and Workshop Papers
- 2024
- [c24]Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren:
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. ACL (Findings) 2024: 7695-7715 - [c23]Monireh Kargar, Zahra Kharazian, Ioanna Miliou, Tony Lindgren:
SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications. HAII5.0@ECAI 2024 - 2023
- [c22]Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou:
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. DSAA 2023: 1-10 - [c21]Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren:
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. ICPHM 2023: 53-60 - [c20]Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon:
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA 2023: 195-207 - 2022
- [c19]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
JUICE: JUstIfied Counterfactual Explanations. DS 2022: 493-508 - [c18]Tony Lindgren, Olof Steinert:
Low dimensional synthetic data generation for improving data driven prognostic models. ICPHM 2022: 173-182 - [c17]Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas:
Measuring the Burden of (Un)fairness Using Counterfactuals. PKDD/ECML Workshops (1) 2022: 402-417 - 2021
- [c16]Tony Mattias Lindgren:
Hybrid feature tweaking: Combining random forest similarity tweaking with CLPFD. ICCDE 2021: 20-26 - [c15]Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren:
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. IDA 2021: 376-388 - 2020
- [c14]Michael Mammo, Tony Lindgren:
Evaluation of Dimensionality Reduction Techniques-Principal Feature Analysis in case of Text Classification Problems. ICCDE 2020: 75-79 - [c13]Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. KDD 2020: 524-534 - [c12]Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou:
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. ECML/PKDD (4) 2020: 562-578 - 2019
- [c11]Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker:
Example-Based Feature Tweaking Using Random Forests. IRI 2019: 53-60 - 2018
- [c10]Tony Lindgren:
On Data Driven Organizations and the Necessity of Interpretable Models. SGIoT 2018: 121-130 - 2017
- [c9]Tony Lindgren:
Randomized Separate and Conquer Rule induction. ICCDA 2017: 207-214 - [c8]Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou:
Conformal Prediction Using Random Survival Forests. ICMLA 2017: 812-817 - 2016
- [c7]Ram B. Gurung, Tony Lindgren, Henrik Boström:
Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins. FLAIRS 2016: 430-435 - 2012
- [c6]Tony Lindgren:
Troubleshooting ECU Programmed by Bodybuilders. ICCVE 2012: 231-236 - 2006
- [c5]Tony Lindgren:
On handling conflicts between rules with numerical features. SAC 2006: 37-41 - 2004
- [c4]Tony Lindgren:
Methods for Rule Conflict Resolution. ECML 2004: 262-273 - 2003
- [c3]Tony Lindgren, Henrik Boström:
Resolving Rule Conflicts with Double Induction. IDA 2003: 60-67 - 2002
- [c2]Tony Lindgren, Henrik Boström:
Classification with Intersecting Rules. ALT 2002: 395-402 - 2000
- [c1]Tony Lindgren:
Anytime inductive logic programming. CATA 2000: 439-442
Informal and Other Publications
- 2024
- [i6]Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna:
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance. CoRR abs/2401.15199 (2024) - [i5]Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon:
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR abs/2402.08611 (2024) - [i4]Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren:
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. CoRR abs/2403.11904 (2024) - [i3]Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren:
Evaluating the Reliability of Self-Explanations in Large Language Models. CoRR abs/2407.14487 (2024) - 2022
- [i2]Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami:
Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. CoRR abs/2204.12404 (2022) - [i1]John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg:
Automotive Multilingual Fault Diagnosis. CoRR abs/2210.06918 (2022)
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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