Tony Lindgren

46 papers A* 2B 6C 1Misc 4Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
RAG-E: Quantifying Retriever-Generator Alignment and Failure Modes.
CoRR
Korbinian Randl, Guido Rocchietti, Aron Henriksson, Ziawasch Abedjan, Tony Lindgren, John Pavlopoulos
2025 J jnl
CRITS: Convolutional Rectifier for Interpretable Time Series Classification.
CoRR
Alejandro Kuratomi, Zed Lee, Guilherme Dinis Junior, Tony Lindgren, Diego García-Pérez
2025 J jnl
Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling.
Int. J. Digit. Earth
He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song
2025 J jnl
Mind the gap: from plausible to valid self-explanations in large language models.
Mach. Learn.
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2025 J jnl
SemEval-2025 Task 9: The Food Hazard Detection Challenge.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren, Juli Bakagianni
2025 J jnl
Subgroup fairness based on shared counterfactuals.
Knowl. Inf. Syst.
Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Evaggelia Pitoura, Tony Lindgren, Guilherme Dinis Junior, Panagiotis Papapetrou
2024 J jnl
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data.
CoRR
Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon
2024 J jnl
A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem.
IEEE Trans. Geosci. Remote. Sens.
He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Ran Wang, Yanjie Song
2024 J jnl
Automotive fault nowcasting with machine learning and natural language processing.
Mach. Learn.
John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl
2024 — conf
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
ACL (Findings)
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 J jnl
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 — conf
CoPAL: Conformal Prediction in Active Learning An Algorithm for Enhancing Remaining Useful Life Estimation in Predictive Maintenance.
COPA
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Henrik Boström
2024 A* conf
CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification.
ICDM
Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, Panagiotis Papapetrou
2024 J jnl
Evaluating the Reliability of Self-Explanations in Large Language Models.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 — conf
Evaluating the Reliability of Self-explanations in Large Language Models.
DS (1)
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 J jnl
Ijuice: integer JUstIfied counterfactual explanations.
Mach. Learn.
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
2024 J jnl
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance.
CoRR
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna
2024 — conf
SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications.
HAII5.0@ECAI
Monireh Kargar, Zahra Kharazian, Ioanna Miliou, Tony Lindgren
2024 J jnl
Z-Time: efficient and effective interpretable multivariate time series classification.
Data Min. Knowl. Discov.
Zed Lee, Tony Lindgren, Panagiotis Papapetrou
2023 B conf
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning.
IDA
Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon
2023 J jnl
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning.
Comput. Aided Civ. Infrastructure Eng.
Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami
2023 B conf
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces.
DSAA
Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou
2023 — conf
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics.
ICPHM
Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren
2023 J jnl
Weibull recurrent neural networks for failure prognosis using histogram data.
Neural Comput. Appl.
Maharshi Harshadbhai Dhada, Ajith Kumar Parlikad, Olof Steinert, Tony Lindgren
2022 J jnl
Automotive Multilingual Fault Diagnosis.
CoRR
John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg
2022 B conf
JUICE: JUstIfied Counterfactual Explanations.
DS
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
2022 J jnl
Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning.
CoRR
Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami
2022 — conf
Low dimensional synthetic data generation for improving data driven prognostic models.
ICPHM
Tony Lindgren, Olof Steinert
2022 — conf
Measuring the Burden of (Un)fairness Using Counterfactuals.
PKDD/ECML Workshops (1)
Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas
2021 B conf
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots.
IDA
Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren
2020 — conf
Evaluation of Dimensionality Reduction Techniques-Principal Feature Analysis in case of Text Classification Problems.
ICCDE
Michael Mammo, Tony Lindgren
2020 — conf
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees.
ECML/PKDD (4)
Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou
2020 A* conf
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals.
KDD
Zed Lee, Tony Lindgren, Panagiotis Papapetrou
2019 J jnl
A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability.
IEEE Access
Gishan Don Ranasinghe, Tony Lindgren, Mark Girolami, Ajith Kumar Parlikad
2019 Misc conf
Example-Based Feature Tweaking Using Random Forests.
IRI
Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker
2018 — conf
On Data Driven Organizations and the Necessity of Interpretable Models.
SGIoT
Tony Lindgren
2017 C conf
Conformal Prediction Using Random Survival Forests.
ICMLA
Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou
2017 — conf
Randomized Separate and Conquer Rule induction.
ICCDA
Tony Lindgren
2016 Misc conf
Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins.
FLAIRS
Ram B. Gurung, Tony Lindgren, Henrik Boström
2012 — conf
Troubleshooting ECU Programmed by Bodybuilders.
ICCVE
Tony Lindgren
2006 Misc conf
On handling conflicts between rules with numerical features.
SAC
Tony Lindgren
2004 — conf
Methods for Rule Conflict Resolution.
ECML
Tony Lindgren
2004 J jnl
Resolving rule conflicts with double induction.
Intell. Data Anal.
Tony Lindgren, Henrik Boström
2003 B conf
Resolving Rule Conflicts with Double Induction.
IDA
Tony Lindgren, Henrik Boström
2002 B conf
Classification with Intersecting Rules.
ALT
Tony Lindgren, Henrik Boström
2000 Misc conf
Anytime inductive logic programming.
CATA
Tony Lindgren