An Affective Inference Model Based on Facial Expression Analysis. - Paula Andrea Lago; Claudia Lucía Jiménez-Guarín (UCAmI, 2013)

Hybrid Model Rating Prediction with Linked Open Data for Recommender Systems. - Andrés Moreno; Christian Ariza-Porras; Paula Andrea Lago; Claudia Lucía Jiménez-Guarín; Harold Castro; Michel Riveill (SemWebEval@ESWC, 2014)

A Case Study on the Analysis of Behavior Patterns and Pattern Changes in Smart Environments. - Paula Lago; Claudia Jiménez-Guarín; Claudia Roncancio (IWAAL, 2014)

Context Enriched Patterns of Behavior for Delivering Notifications in Ambient-Assisted Living. - Paula Lago (OTM Workshops, 2014)

Contextualized Behavior Patterns for Ambient Assisted Living. - Paula Lago; Claudia Jiménez-Guarín; Claudia Roncancio (HBU, 2015)

The ContextAct@A4H Real-Life Dataset of Daily-Living Activities - Activity Recognition Using Model Checking. - Paula Lago; Frédéric Lang; Claudia Roncancio; Claudia Jiménez-Guarín; Radu Mateescu 001; Nicolas Bonnefond (CONTEXT, 2017)

Representing and Learning Human Behavior Patterns with Contextual Variability. - Paula Lago; Claudia Roncancio; Claudia Jiménez-Guarín; Cyril Labbé (DEXA (1), 2017)

Contextualized behavior patterns for change reasoning in Ambient Assisted Living: A formal model. - Paula Lago; Claudia Jiménez-Guarín; Claudia Roncancio (Expert Syst. J. Knowl. Eng., 2017)

Modeling and learning context enriched behavior patterns in ambient assisted living - Paula Andrea Lago (2017)

Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information. - Paula Lago; Tsuyoshi Okita 002; Shingo Takeda; Sozo Inoue (UbiComp/ISWC Adjunct, 2018)

6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl (UbiComp/ISWC Adjunct, 2018)

A Multi-Sensor Setting Activity Recognition Simulation Tool. - Shingo Takeda; Tsuyoshi Okita 002; Paula Lago; Sozo Inoue (UbiComp/ISWC Adjunct, 2018)

A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition. - Paula Lago; Sozo Inoue (UCAmI, 2018)

MEASURed: Evaluating Sensor-Based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture. - Paula Lago; Shingo Takeda; Tsuyoshi Okita 002; Sozo Inoue (Human Activity Sensing, 2019)

Nurse care activity recognition challenge: summary and results. - Paula Lago; Sayeda Shamma Alia; Shingo Takeda; Tittaya Mairittha; Nattaya Mairittha; Farina Faiz; Yusuke Nishimura; Kohei Adachi; Tsuyoshi Okita 002; François Charpillet; Sozo Inoue (UbiComp/ISWC Adjunct, 2019)

7th international workshop on human activity sensing corpus and applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl; Mathias Ciliberto (UbiComp/ISWC Adjunct, 2019)

Reduction of marker-body matching work in activity recognition using motion capture. - Shingo Takeda; Paula Lago; Tsuyoshi Okita 002; Sozo Inoue (UbiComp/ISWC Adjunct, 2019)

Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019. - Lin Wang 009; Hristijan Gjoreski; Mathias Ciliberto; Paula Lago; Kazuya Murao; Tsuyoshi Okita 002; Daniel Roggen (UbiComp/ISWC Adjunct, 2019)

Learning and managing context enriched behavior patterns in smart homes. - Paula Lago; Claudia Roncancio; Claudia Jiménez-Guarín (Future Gener. Comput. Syst., 2019)

Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study. - Sozo Inoue; Paula Lago; Tahera Hossain; Tittaya Mairittha; Nattaya Mairittha (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition. - Moe Matsuki; Paula Lago; Sozo Inoue (Sensors, 2019)

Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. - Lin Wang 009; Hristijan Gjoreski; Mathias Ciliberto; Paula Lago; Kazuya Murao; Tsuyoshi Okita 002; Daniel Roggen (UbiComp/ISWC Adjunct, 2020)

Summary of the 2nd nurse care activity recognition challenge using lab and field data. - Sayeda Shamma Alia; Paula Lago; Kohei Adachi; Tahera Hossain; Hiroki Goto; Tsuyoshi Okita 002; Sozo Inoue (UbiComp/ISWC Adjunct, 2020)

MCoMat: a new performance metric for imbalanced multi-layer activity recognition dataset. - Sayeda Shamma Alia; Paula Lago; Sozo Inoue (UbiComp/ISWC Adjunct, 2020)

8th international workshop on human activity sensing corpus and applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl; Mathias Ciliberto (UbiComp/ISWC Adjunct, 2020)

Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data. - Paula Lago; Moe Matsuki; Sozo Inoue (CoRR, 2020)

A dataset for complex activity recognition withmicro and macro activities in a cooking scenario. - Paula Lago; Shingo Takeda; Sayeda Shamma Alia; Kohei Adachi; Brahim Bennai; François Charpillet; Sozo Inoue (CoRR, 2020)

Cooking activity dataset with macro and micro activities. - Paula Lago; Shingo Takeda; Kohei Adachi; Sayeda Shamma Alia; Moe Matsuki; Brahim Benaissa; Sozo Inoue; François Charpillet (IEEE DataPort, 2020)

Summary of the Bento Packaging Activity Recognition Challenge. - Kohei Adachi; Sayeda Shamma Alia; Nazmun Nahid; Haru Kaneko; Paula Lago; Sozo Inoue (ABC, 2021)

Using LUPI to Improve Complex Activity Recognition. - Kohei Adachi; Paula Lago; Yuichi Hattori; Sozo Inoue (ABC, 2021)

Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021. - Lin Wang 009; Mathias Ciliberto; Hristijan Gjoreski; Paula Lago; Kazuya Murao; Tsuyoshi Okita 002; Daniel Roggen (UbiComp/ISWC Adjunct, 2021)

Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data? - Sayeda Shamma Alia; Kohei Adachi; Tahera Hossain; Nhat-Tan Le; Haru Kaneko; Paula Lago; Tsuyoshi Okita 002; Sozo Inoue (UbiComp/ISWC Adjunct, 2021)

9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl; Mathias Ciliberto; Kenta Urano (UbiComp/ISWC Adjunct, 2021)

Using additional training sensors to improve single-sensor complex activity recognition. - Paula Lago; Moe Matsuki; Kohei Adachi; Sozo Inoue (ISWC, 2021)

Three-Year Review of the 2018-2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors. - Lin Wang 009; Hristijan Gjoreski; Mathias Ciliberto; Paula Lago; Kazuya Murao; Tsuyoshi Okita 002; Daniel Roggen (Frontiers Comput. Sci., 2021)

CrowdAct: Achieving High-Quality Crowdsourced Datasets in Mobile Activity Recognition. - Nattaya Mairittha; Tittaya Mairittha; Paula Lago; Sozo Inoue (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Nurse Care Activities Datasets: In laboratory and in real field. - Sozo Inoue; Sayeda Shamma Alia; Paula Lago; Hiroki Goto; Shingo Takeda (IEEE DataPort, 2021)

10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl; Mathias Ciliberto; Kenta Urano (UbiComp/ISWC Adjunct, 2022)

Hierarchical Feature Recovery for Robust Human Activity Recognition in Body Sensor Networks. - Nobuyuki Oishi; Paula Lago; Phil Birch; Daniel Roggen (UbiComp/ISWC Adjunct, 2022)

Improving Noise Robustness of Single Sensor Data in Human Activity Recognition With UMAP and Additional Data. - Quynh Nguyen Phuong Vu; Paula Lago; Sozo Inoue (ISWC, 2022)

Cyber Physical Systems and Environmental Issues: A Smart Home Case Study. - Mario Cortes Cornax; Paula Lago; Claudia Roncancio (RCIS Workshops, 2022)

Investigating the Effect of Orientation Variability in Deep Learning-based Human Activity Recognition. - Azhar Ali Khaked; Nobuyuki Oishi; Daniel Roggen; Paula Lago (UbiComp/ISWC Adjunct, 2023)

11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). - Kazuya Murao; Yu Enokibori; Hristijan Gjoreski; Paula Lago; Tsuyoshi Okita 002; Pekka Siirtola; Kei Hiroi; Philipp M. Scholl; Mathias Ciliberto; Kenta Urano (UbiComp/ISWC Adjunct, 2023)

Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. - Lin Wang 009; Hristijan Gjoreski; Mathias Ciliberto; Paula Lago; Kazuya Murao; Tsuyoshi Okita 002; Daniel Roggen (UbiComp/ISWC Adjunct, 2023)

Learning Using Privileged Information for Wearable-based Human Activity Recognition. - Nobuyuki Oishi; Daniel Roggen; Philip Birch; Paula Lago (PerCom Workshops, 2023)

A case study of environmental considerations and opportunities in cyber physical systems. - Mario Cortes Cornax; Paula Lago; Claudia Roncancio (IET Softw., 2023)

Daily Routine Recognition from Longitudinal, Real-Life Wearable Sensor Data for the Elderly. - Sayeda Shamma Alia; Paula Lago (ABC, 2024)

Method and Tool to Assess the Environmental Impacts of Cyber-Physical Systems with a Life-Cycle Approach. - Felix Schöllhammer; Mario Cortes Cornax; Paula Lago; Vijanti Ramautar; Claudia Roncancio; Sietse Overbeek; Sergio España 001 (RCIS Workshops, 2024)

A State-of-the-Art Review of Computational Models for Analyzing Longitudinal Wearable Sensor Data in Healthcare. - Paula Lago (CoRR, 2024)

Let's Get Psychophysiological! A Hands-On Wearables Laboratory Experience with Recording, Processing, and Interpreting Electrophysiology Signals. - Jennifer J. McGrath; Marc N. Jarczok; Paula Lago (CHI Extended Abstracts, 2025)

"Paths in Education": A Case Study on Integrating Statistical Data and Qualitative Narratives Using Data Visualization. - Paula Lago; Stuart King (IEEE Computer Graphics and Applications, 2025)

WIMUSim: simulating realistic variabilities in wearable IMUs for human activity recognition. - Nobuyuki Oishi; Phil Birch; Daniel Roggen; Paula Lago (Frontiers Comput. Sci., 2025)

In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability. - Azhar Ali Khaked; Nobuyuki Oishi; Daniel Roggen; Paula Lago (CoRR, 2025)