| Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding S Deldari, DV Smith, H Xue, FD Salim The Web Conference WWW2021, 2020 | 150 | 2020 |
| Cocoa: Cross modality contrastive learning for sensor data S Deldari, H Xue, A Saeed, DV Smith, FD Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 76 | 2022 |
| ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data S Deldari, D V. Smith, A Sadri, F D. Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 55 | 2020 |
| Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data S Deldari, H Xue, A Saeed, J He, DV Smith, FD Salim arXiv, 2022 | 48 | 2022 |
| Crossl: Cross-modal self-supervised learning for time-series through latent masking S Deldari, D Spathis, M Malekzadeh, F Kawsar, FD Salim, A Mathur Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 10 | 2024 |
| Investigating the effects of mood & usage behaviour on notification response time JS Heinisch, N Gao, C Anderson, S Deldari, K David, F Salim arXiv preprint arXiv:2207.03405, 2022 | 5 | 2022 |
| Sensorllm: Aligning large language models with motion sensors for human activity recognition Z Li, S Deldari, L Chen, H Xue, FD Salim arXiv preprint arXiv:2410.10624, 2024 | 4 | 2024 |
| Latent Masking for Multimodal Self-supervised Learning in Health Timeseries S Deldari, D Spathis, M Malekzadeh, F Kawsar, F Salim, A Mathur arXiv preprint arXiv:2307.16847, 2023 | 4 | 2023 |
| Toward Social Role-Based Interruptibility Management C Anderson, JS Heinisch, S Deldari, F Salim, S Ohly, K David, V Pejović IEEE Pervasive Computing 22 (1), 59-68, 2023 | 3 | 2023 |
| Inferring Work Routines and Behavior Deviations with Life-logging Sensor Data S Deldari, J Liono, FD Salim, DV Smith Task Intelligence Workshop (TI@WSDM), Proceedings of ACM International …, 2019 | 3 | 2019 |
| Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study J Liu, S Deldari, H Xue, V Nguyen, FD Salim 24th IEEE International Conference on Mobile Data Management (MDM), 2023 | 2 | 2023 |
| ViLCo-Bench: VIdeo Language COntinual learning Benchmark T Tang, S Deldari, H Xue, C De Melo, FD Salim arXiv preprint arXiv:2406.13123, 2024 | 1 | 2024 |
| AuditNet: Conversational AI Security Assistant S Deldari, M Goudarzi, A Joshi, A Shaghaghi, S Finn, FD Salim, S Jha Adjunct Proceedings of the 26th International Conference on Mobile Human …, 2024 | | 2024 |
| Apparatus & method for generating feature embeddings S Deldari, D Spathis, A Mathur, M Malekzadeh US Patent App. 18/417,351, 2024 | | 2024 |
| AuditNet: A Conversational AI-based Security Assistant S Deldari, M Goudarzi, A Joshi, A Shaghaghi, S Finn, FD Salim, S Jha arXiv preprint arXiv:2407.14116, 2024 | | 2024 |
| A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 D Spathis, A Saeed, A Etemad, S Tonekaboni, S Laskaridis, S Deldari, ... arXiv preprint arXiv:2403.10561, 2024 | | 2024 |
| Domain Invariant Driving Behaviour Prediction Based on Autoencoder Anomaly Detection S Pargal, S Chakraborty, S Deldari, SS Kanhere 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | | 2024 |
| Learning from multimodal time-series data with minimal supervision S Deldari RMIT University, 2023 | | 2023 |
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSWBestätigte E-Mail-Adresse bei unsw.edu.au
