Sepideh Pashami

Orcid: 0000-0003-3272-4145

According to our database1, Sepideh Pashami authored at least 57 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks.
Inf. Sci., 2024

DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination.
CoRR, 2024

CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis.
CoRR, 2024

Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey.
CoRR, 2024

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models.
Artif. Intell. Medicine, 2024

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Understanding Survival Models Through Counterfactual Explanations.
Proceedings of the Computational Science - ICCS 2024, 2024

Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Review of Randomness Techniques in Deep Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Material handling machine activity recognition by context ensemble with gated recurrent units.
Eng. Appl. Artif. Intell., November, 2023

Multi-domain adaptation for regression under conditional distribution shift.
Expert Syst. Appl., August, 2023

Pitfalls of assessing extracted hierarchies for multi-class classification.
Pattern Recognit., April, 2023

Fast Genetic Algorithm for feature selection - A qualitative approximation approach.
Expert Syst. Appl., 2023

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles.
CoRR, 2023

Heterogeneous Federated Learning via Personalized Generative Networks.
CoRR, 2023

Explainable Predictive Maintenance.
CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

XAI for Predictive Maintenance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Component attention network for multimodal dance improvisation recognition.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Toward Solving Domain Adaptation with Limited Source Labeled Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Explainable Deep Domain Adaptation.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022
Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.
Sensors, 2022

Why Is Multiclass Classification Hard?
IEEE Access, 2022

An Explainable Knowledge-based AI Framework for Mobility as a Service.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Siambert: Siamese Bert-based Code Search.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Towards Geometry-Preserving Domain Adaptation for Fault Identification.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Parallel orthogonal deep neural network.
Neural Networks, 2021

AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control.
CoRR, 2021

COCLUBERT: Clustering Machine Learning Source Code.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Early Prediction of Quality Issues in Automotive Modern Industry.
Inf., 2020

Avoiding Improper Treatment of Persons with Dementia by Care Robots.
CoRR, 2020

Forklift Truck Activity Recognition from CAN Data.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning.
Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020

2019
IDM-WSDM 2019: Workshop on Interactive Data Mining.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain.
Proceedings of the Workshop on Interactive Data Mining, 2019

Incremental Causal Discovery and Visualization.
Proceedings of the Workshop on Interactive Data Mining, 2019

Eliciting Structures in Data.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Warranty Claim Rate Prediction Using Logged Vehicle Data.
Proceedings of the Progress in Artificial Intelligence, 2019

Predicting Air Compressor Failures Using Long Short Term Memory Networks.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Learning Low-Dimensional Representation of Bivariate Histogram Data.
IEEE Trans. Intell. Transp. Syst., 2018

Mode tracking using multiple data streams.
Inf. Fusion, 2018

Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017
Exploring home robot capabilities by medium fidelity prototyping.
CoRR, 2017

Multi-Task Representation Learning.
Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

2016
Supporting Analytical Reasoning - A Study from the Automotive Industry.
Proceedings of the Human Interface and the Management of Information: Applications and Services, 2016

2015
Change detection in metal oxide gas sensor signals for open sampling systems.
PhD thesis, 2015

2013
TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors.
Sensors, 2013

2012
Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors.
Sensors, 2012

2011
ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach.
Proceedings of the Innovations in Sharing Environmental Observations and Information: Proceedings of the 25th International Conference on Informatics for Environmental Protection, 2011

2005
Dynamic Positioning Based on Voronoi Cells (DPVC).
Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005


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