Human activity recognition using tag-based localization. - Aras Yurtman; Billur Barshan (SIU, 2012)

Investigation of personal variations in activity recognition using miniature inertial sensors and magnetometers. - Aras Yurtman; Billur Barshan (SIU, 2012)

Detection and Evaluation of Physical Therapy Exercises by Dynamic Time Warping Using Wearable Motion Sensor Units. - Aras Yurtman; Billur Barshan (ISCIS, 2013)

Detection and evaluation of physical therapy exercises from wearable motion sensor signals by dynamic time warping. - Aras Yurtman; Billur Barshan (SIU, 2014)

Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals. - Aras Yurtman; Billur Barshan (Comput. Methods Programs Biomed., 2014)

Human Activity Recognition Using Tag-Based Radio Frequency Localization. - Aras Yurtman; Billur Barshan (Appl. Artif. Intell., 2016)

Investigating Inter-Subject and Inter-Activity Variations in Activity Recognition Using Wearable Motion Sensors. - Billur Barshan; Aras Yurtman (Comput. J., 2016)

Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors. - Aras Yurtman; Billur Barshan (Sensors, 2017)

Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations Represented by Quaternions. - Aras Yurtman; Billur Barshan; Baris Fidan (Sensors, 2018)

Classifying Daily and Sports Activities Invariantly to the Positioning of Wearable Motion Sensor Units. - Billur Barshan; Aras Yurtman (IEEE Internet Things J., 2020)

Novel Noniterative Orientation Estimation for Wearable Motion Sensor Units Acquiring Accelerometer, Gyroscope, and Magnetometer Measurements. - Aras Yurtman; Billur Barshan (IEEE Trans. Instrum. Meas., 2020)

Position Invariance for Wearables: Interchangeability and Single-Unit Usage via Machine Learning. - Aras Yurtman; Billur Barshan; Soydan Redif (IEEE Internet Things J., 2021)

Physical Therapy Exercises Dataset. - Aras Yurtman; Billur Barshan (UCI Machine Learning Repository, 2022)

LinC: Explaining Time Series Clusterings with User-Provided Constraints. - Simiao Lin; Aras Yurtman; Jonas Soenen; Hendrik Blockeel (PKDD/ECML Workshops (3), 2023)

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. - Aras Yurtman; Jonas Soenen; Wannes Meert; Hendrik Blockeel (ECML/PKDD (5), 2023)

A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. - Lola Botman; Jonas Soenen; Konstantinos Theodorakos; Aras Yurtman; Jessa Bekker; Koen Vanthournout; Hendrik Blockeel; Bart De Moor; Jesus Lago (IEEE Trans. Smart Grid, 2023)

Fast and interpretable electricity consumption scenario generation for individual consumers. - Jonas Soenen; Aras Yurtman; Thijs Becker; Koen Vanthournout; Hendrik Blockeel (CoRR, 2024)

Quantitative Evaluation of Motif Sets in Time Series. - Daan Van Wesenbeeck; Aras Yurtman; Wannes Meert; Hendrik Blockeel (CoRR, 2024)

Time-Shifted Transformers for Driver Identification Using Vehicle Data. - Wim Govers; Aras Yurtman; Turgay Aslandere; Nicole Eikelenberg; Wannes Meert; Jesse Davis (IEEE Trans. Intell. Transp. Syst., 2024)

LoCoMotif: discovering time-warped motifs in time series. - Daan Van Wesenbeeck; Aras Yurtman; Wannes Meert; Hendrik Blockeel (Data Min. Knowl. Discov., 2024)

Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery. - Aras Yurtman; Daan Van Wesenbeeck; Wannes Meert; Hendrik Blockeel (CoRR, 2025)