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\n  \n 2025\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n That Was Close: A Video-Based Safety Assessment of Signalized Traffic Intersections along a High-Speed Corridor.\n \n \n \n \n\n\n \n Fleischer, J.; Lopez, H.; Krause, K.; Banerjee, T.; Li, M.; Rangarajan, A.; and Ranka, S.\n\n\n \n\n\n\n In Proceedings of the Transportation Research Board 2025 Annual Meeting, 2025. \n \n\n\n\n
\n\n\n\n \n \n \"ThatPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fleischer2025close_safety_assessment,\n  author = {Fleischer, Jacques and Lopez, Heriberto and Krause, Kenneth and Banerjee, Tania and Li, Min-Tang and Rangarajan, Anand and Ranka, Sanjay},\n  title = {That Was Close: A Video-Based Safety Assessment of Signalized Traffic Intersections along a High-Speed Corridor},\n  booktitle = {Proceedings of the Transportation Research Board 2025 Annual Meeting},\n  year = {2025},\n  url = {https://jpfleischer.github.io/trb.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n CHEER: Calculating Holistic Energetic Emissions on Route — A Fine-Grained, Quasi-Real-Time System for Computing the Energy and Emission Impact of Personal Transportation.\n \n \n \n\n\n \n Wheelis, A. R.; Schultz, N.; Greenlee, J.; Fleischer, J.; Grassi, L.; and Shankari, K.\n\n\n \n\n\n\n 2025.\n Submitted to the National Bureau of Economic Research Conference on Data Infrastructure for Decarbonizing Transportation\n\n\n\n
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@unpublished{wheelis2025cheer,\n  title={CHEER: Calculating Holistic Energetic Emissions on Route — A Fine-Grained, Quasi-Real-Time System for Computing the Energy and Emission Impact of Personal Transportation},\n  author={Wheelis, Abigail R. and Schultz, Natalie and Greenlee, Jack and Fleischer, Jacques and Grassi, Louis and Shankari, K.},\n  note={Submitted to the National Bureau of Economic Research Conference on Data Infrastructure for Decarbonizing Transportation},\n  year={2025}\n}\n
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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Video-based Pedestrian and Vehicle Traffic Analysis During Football Games.\n \n \n \n\n\n \n Fleischer, J.; Pallack, R.; Mishra, A.; Riente de Andrade, G.; Poddar, S.; Posadas, E.; Schenck, R.; Banerjee, T.; Rangarajan, A.; and Ranka, S.\n\n\n \n\n\n\n In Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2024. \n \n\n\n\n
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@inproceedings{fleischer2024traffic_analysis,\n  author = {Fleischer, Jacques and Pallack, Ryan and Mishra, Ahan and Riente de Andrade, Gustavo and Poddar, Subhadipto and Posadas, Emmanuel and Schenck, Robert and Banerjee, Tania and Rangarajan, Anand and Ranka, Sanjay},\n  title = {Video-based Pedestrian and Vehicle Traffic Analysis During Football Games},\n  booktitle = {Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC)},\n  year = {2024},\n}\n\n
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\n  \n 2023\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts.\n \n \n \n \n\n\n \n von Laszewski , G.; Fleischer, J.; Knuuti, R.; Fox, G. C.; Kolessar, J.; Butler, T. S.; and Fox, J.\n\n\n \n\n\n\n Frontiers in High Performance Computing, 1. 2023.\n \n\n\n\n
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@article{von2023opportunities,\n  title={Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts},\n  author={{von Laszewski}, Gregor and Fleischer, Jacques and Knuuti, Robert and Fox, Geoffrey C. and Kolessar, Jake and Butler, Thomas S. and Fox, Judy},\n  journal={Frontiers in High Performance Computing},\n  volume={1},\n  year={2023},\n  publisher={Frontiers Media SA},\n  url={https://doi.org/10.3389/fhpcp.2023.1233877},\n}\n\n
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\n \n\n \n \n \n \n \n \n Templated hybrid reusable computational analytics workflow management with Cloudmesh, applied to the deep learning MLCommons Cloudmask application.\n \n \n \n \n\n\n \n von Laszewski , G.; Fleischer, J.; Fox, G. C.; Papay, J.; Jackson, S.; and Thiyagalingam, J.\n\n\n \n\n\n\n In 2023 IEEE 19th International Conference on e-Science (e-Science), pages 1–6, 2023. IEEE\n \n\n\n\n
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@inproceedings{von2023templated,\n  title={Templated hybrid reusable computational analytics workflow management with Cloudmesh, applied to the deep learning MLCommons Cloudmask application},\n  author={{von Laszewski}, Gregor and Fleischer, Jacques and Fox, Geoffrey C. and Papay, Juri and Jackson, Sam and Thiyagalingam, Jeyan},\n  booktitle={2023 IEEE 19th International Conference on e-Science (e-Science)},\n  pages={1--6},\n  year={2023},\n  organization={IEEE},\n  url={https://doi.org/10.1109/e-Science58273.2023.10254942},\n}\n\n
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\n  \n 2022\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Hybrid reusable computational analytics workflow management with Cloudmesh.\n \n \n \n \n\n\n \n von Laszewski , G.; Fleischer, J.; and Fox, G. C.\n\n\n \n\n\n\n 2022.\n arXiv preprint arXiv:2210.16941\n\n\n\n
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@unpublished{von2022hybrid,\n  title={Hybrid reusable computational analytics workflow management with Cloudmesh},\n  author={{von Laszewski}, Gregor and Fleischer, Jacques and Fox, Geoffrey C.},\n  note={arXiv preprint arXiv:2210.16941},\n  year={2022},\n  url={https://doi.org/10.48550/arXiv.2210.16941},\n}\n\n
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\n \n\n \n \n \n \n \n \n Time series analysis of cryptocurrency prices using long short-term memory.\n \n \n \n \n\n\n \n Fleischer, J.; von Laszewski , G.; Theran, C.; and Parra Bautista, Y. J.\n\n\n \n\n\n\n Algorithms, 15(7): 230. 2022.\n \n\n\n\n
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@article{fleischer2022time,\n  title={Time series analysis of cryptocurrency prices using long short-term memory},\n  author={Fleischer, Jacques and {von Laszewski}, Gregor and Theran, Carlos and Parra Bautista, Yohn Jairo},\n  journal={Algorithms},\n  volume={15},\n  number={7},\n  pages={230},\n  year={2022},\n  publisher={MDPI},\n  url={https://doi.org/10.3390/a15070230},\n}\n\n
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\n \n\n \n \n \n \n \n Time series analysis of blockchain-based cryptocurrency price changes.\n \n \n \n\n\n \n Fleischer, J.; von Laszewski , G.; Theran, C.; and Bautista, Y. J. P.\n\n\n \n\n\n\n In 2022 Emerging Researchers National (ERN) Conference in STEM, 2022. \n The conference was postponed/canceled due to the COVID-19 pandemic and emerging variants.\n\n\n\n
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@inproceedings{fleischer2022blockchain,\n  title={Time series analysis of blockchain-based cryptocurrency price changes},\n  author={Fleischer, Jacques and {von Laszewski}, Gregor and Theran, Carlos and Bautista, Yohn Jairo Parra},\n  booktitle={2022 Emerging Researchers National (ERN) Conference in STEM},\n  location={Washington, D.C.},\n  note={The conference was postponed/canceled due to the COVID-19 pandemic and emerging variants.},\n  year={2022}\n}\n\n\n
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