| AIDR: Artificial intelligence for disaster response M Imran, C Castillo, J Lucas, P Meier, S Vieweg Proceedings of the 23rd international conference on world wide web, 159-162, 2014 | 693 | 2014 |
| Coordinating human and machine intelligence to classify microblog communications in crises. M Imran, C Castillo, J Lucas, P Meier, J Rogstadius ISCRAM, 2014 | 103 | 2014 |
| Rheem: enabling cross-platform data processing: may the big data be with you! D Agrawal, S Chawla, B Contreras-Rojas, A Elmagarmid, Y Idris, ... Proceedings of the VLDB Endowment 11 (11), 1414-1427, 2018 | 82 | 2018 |
| Nazr-CNN: Fine-grained classification of UAV imagery for damage assessment N Attari, F Ofli, M Awad, J Lucas, S Chawla 2017 IEEE international conference on data science and advanced analytics …, 2017 | 58 | 2017 |
| RheemStudio: Cross-platform data analytics made easy J Lucas, Y Idris, B Contreras-Rojas, JA Quiané-Ruiz, S Chawla 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1573-1576, 2018 | 12 | 2018 |
| Together we stand—supporting decision in crisis response: Artificial intelligence for digital response and micromappers C Castillo, M Imran, P Meier, JK Lucas, J Srivastava, H Leson, F Ofli, ... by OCHA and partners. Istanbul: Tudor Rose, World Humanitarian Summit, 93-95, 2016 | 8 | 2016 |
| T-RAG: lessons from the LLM trenches M Fatehkia, JK Lucas, S Chawla arXiv preprint arXiv:2402.07483, 2024 | 7 | 2024 |
| Prescriptive learning for air-cargo revenue management SG Rizzo, Y Chen, L Pang, J Lucas, Z Kaoudi, J Quiane, S Chawla 2020 IEEE International Conference on Data Mining (ICDM), 462-471, 2020 | 7 | 2020 |
| AI-CARGO: A data-driven air-cargo revenue management system SG Rizzo, J Lucas, Z Kaoudi, JA Quiane-Ruiz, S Chawla arXiv preprint arXiv:1905.09130, 2019 | 6 | 2019 |
| Nazr-CNN: Object detection and fine-grained classification in crowdsourced UAV images N Attari, F Ofli, M Awad, J Lucas, S Chawla IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016 | 6 | 2016 |
| A pragmatic perspective on AI transparency at workplace G Al-Sulaiti, MA Sadeghi, L Chauhan, J Lucas, S Chawla, A Elmagarmid AI and Ethics 4 (2), 189-200, 2024 | 5 | 2024 |
| Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach SG Rizzo, Y Chen, L Pang, J Lucas, Z Kaoudi, J Quiane, S Chawla Knowledge and Information Systems 64 (9), 2515-2541, 2022 | 4 | 2022 |
| Geography of solidarity: spatial and temporal patterns N Al Emadi, H Leson, J Lucas, P Meier, J Borge-Holthoefer Procedia engineering 159, 27-34, 2016 | 2 | 2016 |
| Log representation as an interface for log processing applications MA Sadeghi, S Parambath, J Lucas, Y Meguebli, M Toure, F Al Qahtani, ... | 1 | 2021 |
| Cargo booking management systems and methods S Rizzo, J Lucas, Z Kaoudi, JA Quiane-Ruiz, S Chawla US Patent 11,748,837, 2023 | | 2023 |
| CARGO BOOKING MANAGEMENT SYSTEMS AND METHODS S Rizzo, J Lucas, Z Kaoudi, JA Quiane-Ruiz, S Chawla | | 2020 |
| Real-Time Mobility Analysis Through Google Maps I Weber, N Tang, SG Jung, R Stanojevic, N Al-Emadi, J Lucas | | 2019 |
| Rheem: enabling cross-platform data processing: may the big data be with you! S Chawla, AK Elmagarmid, D Agrawal, B Contreras-Rojas, Y Idris, ... | | 2018 |
| Supporting Decision in Crisis Response: Artificial Intelligence for Digital Response and MicroMappers C Castillo, M Imran, P Meier, JK Lucas, H Leson, F Ofli, P Mitra Together We Stand, 2016 | | 2016 |
