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Journals

Alex Whelan*, Ragwa Elsayed, Alessandro Bellofiore, David C. Anastasiu. Selective Partitioned Regression for Accurate Kidney Health Monitoring. Annals of Biomedical Engineering, 2024. Journal Impact Factor: 4.0.
@article{whelan-WhelanEBA2024,
   author  = {Alex Whelan and Ragwa Elsayed and Alessandro Bellofiore and David C. Anastasiu},
   title   = {Selective Partitioned Regression for Accurate Kidney Health Monitoring},
   journal = {Annals of Biomedical Engineering},
   month   = {Feb},
   year    = {2024},
   issn    = {1573-9686},
   note    = {Journal Impact Factor: 4.0.},
}
Nivedha Balakrishnan, Rahul Katkar, Peter V. Pham, Taylor Downey*, Prarthna Kashyap, David C. Anastasiu, Anand K. Ramasubramanian. Prospection of Peptide Inhibitors of Thrombin from Diverse Origins Using a Machine Learning Pipeline. Bioengineering, 10(11), 2023. Journal Impact Factor: 4.6.
@article{balakrishnan-BalakrishnanKPDKAR2023,
   author  = {Nivedha Balakrishnan and Rahul Katkar and Peter V. Pham and Taylor Downey and Prarthna Kashyap and David C. Anastasiu and Anand K. Ramasubramanian},
   title   = {Prospection of Peptide Inhibitors of Thrombin from Diverse Origins Using a Machine Learning Pipeline},
   journal = {Bioengineering},
   volume  = {10},
   number  = {11},
   year    = {2023},
   issn    = {2306-5354},
   note    = {Journal Impact Factor: 4.6.},
}
Yijia Li, Jonathan Nguyen*, David C. Anastasiu, Edgar A. Arriaga. CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis. Briefings in Bioinformatics, 2023. Journal Impact Factor: 6.8.
@article{li-LiNAA23,
   author  = {Yijia Li and Jonathan Nguyen and David C. Anastasiu and Edgar A. Arriaga},
   title   = {CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis},
   journal = {Briefings in Bioinformatics},
   month   = {05},
   year    = {2023},
   issn    = {1477-4054},
   note    = {Journal Impact Factor: 6.8.},
}
Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David Anastasiu, Shuo Wang. Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. Data in Brief, 46:108793, 2023. Journal Impact Factor: 1.2.
@article{rahman-rahmanVSWGAW2023,
   author  = {Mohammed Shaiqur Rahman and Archana Venkatachalapathy and Anuj Sharma and Jiyang Wang and Senem Velipasalar Gursoy and David Anastasiu and Shuo Wang},
   title   = {Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver},
   journal = {Data in Brief},
   volume  = {46},
   month   = {Feb},
   year    = {2023},
   issn    = {2352-3409},
   pages   = {108793},
   note    = {Journal Impact Factor: 1.2.},
}
Andrea Tagarelli, Ester Zumpano, David C. Anastasiu, Andrea Calì, Gottfried Vossen. Managing, Mining and Learning in the Legal Data Domain. Inf. Syst., 106(C), Elsevier Science Ltd., 2022. Journal Impact Factor: 7.767.
@article{tagarelli-tagarelliZAV2022,
   author     = {Andrea Tagarelli and Ester Zumpano and David C. Anastasiu and Andrea Calì and Gottfried Vossen},
   title      = {Managing, Mining and Learning in the Legal Data Domain},
   journal    = {Inf. Syst.},
   issue_date = {May 2022},
   volume     = {106},
   number     = {C},
   month      = {May},
   year       = {2022},
   issn       = {0306-4379},
   publisher  = {Elsevier Science Ltd.},
   address    = {GBR},
   note       = {Journal Impact Factor: 7.767.},
}
Bipasa Bose, Taylor Downey*, Anand K. Ramasubramanian, David C. Anastasiu. Identification of Distinct Characteristics of Antibiofilm Peptides and Prospection of Diverse Sources for Efficacious Sequences. Frontiers in Microbiology, 12, 2022. Journal Impact Factor: 6.064.
@article{bose-fim2022,
   author  = {Bipasa Bose and Taylor Downey and Anand K. Ramasubramanian and David C. Anastasiu},
   title   = {Identification of Distinct Characteristics of Antibiofilm Peptides and Prospection of Diverse Sources for Efficacious Sequences},
   journal = {Frontiers in Microbiology},
   volume  = {12},
   year    = {2022},
   issn    = {1664-302X},
   note    = {Journal Impact Factor: 6.064.},
}
David C. Anastasiu, Jack Gaul*, Maria Vazhaeparambil*, Meha Gaba*, Prajval Sharma*. Efficient City-Wide Multi-Class Multi-Movement Vehicle Counting: A Survey. Journal of Big Data Analytics in Transportation, 2(3):235-250, 2020.
@article{anastasiu-jbdat2020,
   author  = {David C. Anastasiu and Jack Gaul and Maria Vazhaeparambil and Meha Gaba and Prajval Sharma},
   title   = {Efficient City-Wide Multi-Class Multi-Movement Vehicle Counting: A Survey},
   journal = {Journal of Big Data Analytics in Transportation},
   volume  = {2},
   number  = {3},
   month   = {Dec},
   year    = {2020},
   issn    = {2523-3564},
   pages   = {235-250},
}
David C. Anastasiu, George Karypis. Parallel cosine nearest neighbor graph construction. Elsevier Journal of Parallel and Distributed Computing, 2017. Journal Impact Factor: 1.815.
@article{anastasiu-jpdc2017,
   author  = {David C. Anastasiu and George Karypis},
   title   = {Parallel cosine nearest neighbor graph construction},
   journal = {Elsevier Journal of Parallel and Distributed Computing},
   series  = {JPDC'17},
   year    = {2017},
   issn    = {0743-7315},
   note    = {Journal Impact Factor: 1.815.},
}
David C. Anastasiu, George Karypis. Efficient identification of Tanimoto nearest neighbors; All Pairs Similarity Search Using the Extended Jaccard Coefficient. Springer International Journal of Data Science and Analytics, 4(3):153-172, 2017. Journal Impact Factor: 1.241.
@article{anastasiu-jdsa2017,
   author  = {David C. Anastasiu and George Karypis},
   title   = {Efficient identification of Tanimoto nearest neighbors; All Pairs Similarity Search Using the Extended Jaccard Coefficient},
   journal = {Springer International Journal of Data Science and Analytics},
   volume  = {4},
   number  = {3},
   month   = {Nov},
   series  = {JDSA'17},
   year    = {2017},
   issn    = {2364-4168},
   pages   = {153-172},
   note    = {Journal Impact Factor: 1.241.},
}
David C. Anastasiu, Andrea Tagarelli. Document Clustering. Wiley StatsRef: Statistics Reference Online, pages 1-11, American Cancer Society, 2017.
@article{anastasiu-statsref2017,
   author    = {David C. Anastasiu and Andrea Tagarelli},
   title     = {Document Clustering},
   journal   = {Wiley StatsRef: Statistics Reference Online},
   year      = {2017},
   pages     = {1-11},
   publisher = {American Cancer Society},
}
David C. Anastasiu, Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, George Karypis. Big Data and Recommender Systems. Novática: Journal of the Spanish Computer Scientist Association, 1(237):39-45, 2016.
@article{anastasiu-novatica2016,
   author  = {David C. Anastasiu and Evangelia Christakopoulou and Shaden Smith and Mohit Sharma and George Karypis},
   title   = {Big Data and Recommender Systems},
   journal = {Novática: Journal of the Spanish Computer Scientist Association},
   volume  = {1},
   number  = {237},
   month   = {October},
   year    = {2016},
   pages   = {39-45},
}
David C. Anastasiu, Byron J. Gao, Xing Jiang, George Karypis. A novel two-box search paradigm for query disambiguation. World Wide Web, 16(1):1-29, 2013. Journal Impact Factor: 0.653.
@article{anastasiu-www2013,
   author  = {David C. Anastasiu and Byron J. Gao and Xing Jiang and George Karypis},
   title   = {A novel two-box search paradigm for query disambiguation},
   journal = {World Wide Web},
   volume  = {16},
   number  = {1},
   year    = {2013},
   pages   = {1-29},
   note    = {Journal Impact Factor: 0.653.},
}
Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan. User-Centric Organization of Search Results. IEEE Internet Computing, 17(3):52-59, 2013. Journal Impact Factor: 0.758.
@article{gao-ic2013,
   author     = {Byron J. Gao and David Buttler and David C. Anastasiu and Shuaiqiang Wang and Peng Zhang and Joey Jan},
   title      = {User-Centric Organization of Search Results},
   journal    = {IEEE Internet Computing},
   issue_date = {May 2013},
   volume     = {17},
   number     = {3},
   month      = {May},
   year       = {2013},
   issn       = {1089-7801},
   pages      = {52-59},
   address    = {Piscataway, NJ, USA},
   note       = {Journal Impact Factor: 0.758.},
}

Conference Proceedings

Sicheng Zhou*, David C. Anastasiu. Long-Term Hydrologic Time Series Prediction with LSPM. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), ACM, 2024. Acceptance Rate: 27%.
@inproceedings{zhou-ZhouA2024,
   author    = {Sicheng Zhou and David C. Anastasiu},
   title     = {Long-Term Hydrologic Time Series Prediction with LSPM},
   booktitle = {Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
   series    = {CIKM'24},
   year      = {2024},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Boise, ID, USA},
   note      = {Acceptance Rate: 27\%.},
}
Yanhong Li*, Jack Xu, David C. Anastasiu. Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'24), 38:171-179, AAAI Press, 2024. Acceptance Rate: 23.75%.
@inproceedings{li-liAAAI24,
   author    = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title     = {Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting},
   volume    = {38},
   month     = {Mar.},
   booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
   series    = {AAAI'24},
   year      = {2024},
   pages     = {171-179},
   publisher = {AAAI Press},
   note      = {Acceptance Rate: 23.75\%.},
}
Shuo Wang, David C. Anastasiu, Zheng Tang, Ming Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh Erdene Otgonbold, Ganzorig Batnasan, Fady Alnajjar, Ping Yang Chen, Jun Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa. The 8th AI City Challenge. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024.
@inproceedings{wang-aicitychallenge2024,
   author    = {Shuo Wang and David C. Anastasiu and Zheng Tang and Ming Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Pranamesh Chakraborty and Sanjita Prajapati and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Munkh Erdene Otgonbold and Ganzorig Batnasan and Fady Alnajjar and Ping Yang Chen and Jun Wei Hsieh and Xunlei Wu and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Rama Chellappa},
   title     = {The 8th AI City Challenge},
   month     = {June},
   booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   year      = {2024},
}
Yanhong Li*, Jack Xu, David C. Anastasiu. An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence (AAAI'23/IAAI'23/EAAI'23), AAAI Press, 2023. Acceptance Rate: 19.6%.
@inproceedings{li-liAAAI23,
   author    = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title     = {An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks},
   booktitle = {Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence},
   series    = {AAAI'23/IAAI'23/EAAI'23},
   year      = {2023},
   publisher = {AAAI Press},
   note      = {Acceptance Rate: 19.6\%.},
}
Yanhong Li*, Jack Xu, David C. Anastasiu. SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. In 2023 IEEE International Conference on Big Data (BigData), pages 728-737, IEEE Computer Society, 2023. Acceptance Rate: 17.5%.
@inproceedings{li-li2023BigData,
   author    = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title     = {SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting},
   month     = {dec},
   booktitle = {2023 IEEE International Conference on Big Data (BigData)},
   year      = {2023},
   pages     = {728-737},
   publisher = {IEEE Computer Society},
   address   = {Los Alamitos, CA, USA},
   note      = {Acceptance Rate: 17.5\%.},
}
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa. The 7th AI City Challenge. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 5538-5548, 2023.
@inproceedings{naphade-aicitychallenge2023,
   author    = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Qi Feng and Vitaly Ablavsky and Stan Sclaroff and Pranamesh Chakraborty and Sanjita Prajapati and Alice Li and Shangru Li and Krishna Kunadharaju and Shenxin Jiang and Rama Chellappa},
   title     = {The 7th AI City Challenge},
   month     = {June},
   booktitle = {2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
   year      = {2023},
   pages     = {5538-5548},
}
Arpita Vats*, David C. Anastasiu. Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 5530-5537, 2023.
@inproceedings{vats-vatsA2023,
   author    = {Arpita Vats and David C. Anastasiu},
   title     = {Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking},
   booktitle = {2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
   year      = {2023},
   pages     = {5530-5537},
}
Arpita Vats*, Gheorghi Guzun, David C. Anastasiu. CLP: A Platform For Competitive Learning. In Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, pages 615-622, Springer-Verlag, 2022. Acceptance Rate: 28%.
@inproceedings{vats-vatsGA2022,
   author    = {Arpita Vats and Gheorghi Guzun and David C. Anastasiu},
   title     = {CLP: A Platform For Competitive Learning},
   booktitle = {Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption},
   year      = {2022},
   pages     = {615-622},
   publisher = {Springer-Verlag},
   address   = {Berlin, Heidelberg},
   location  = {Toulouse, France},
   note      = {Acceptance Rate: 28\%.},
}
Alex Whelan*, Soham Phadke*, David C. Anastasiu. On-Device Prediction for Chronic Kidney Disease. In 2022 IEEE Global Humanitarian Technology Conference (GHTC) (GHTC 2022), pages 325-332, 2022.
@inproceedings{whelan-whelanPA2022,
   author    = {Alex Whelan and Soham Phadke and David C. Anastasiu},
   title     = {On-Device Prediction for Chronic Kidney Disease},
   booktitle = {2022 IEEE Global Humanitarian Technology Conference (GHTC)},
   series    = {GHTC 2022},
   year      = {2022},
   pages     = {325-332},
}
Dorian Clay*, David C. Anastasiu. Expanding Neuro-Symbolic Artificial Intelligence for Strategic Learning. In The 2022 KDD Undergraduate Consortium (KDD-UC), 2022.
@inproceedings{clay-clayA2022,
   author    = {Dorian Clay and David C. Anastasiu},
   title     = {Expanding Neuro-Symbolic Artificial Intelligence for Strategic Learning},
   month     = {July},
   booktitle = {The 2022 KDD Undergraduate Consortium (KDD-UC)},
   year      = {2022},
}
Raghav Kapoor*, Casey Nguyen*, David C. Anastasiu. InterpNet: Interpretability for Autonomous Driving Neural Networks. In The 2022 KDD Undergraduate Consortium (KDD-UC), 2022.
@inproceedings{kapoor-kapoorNA2022,
   author    = {Raghav Kapoor and Casey Nguyen and David C. Anastasiu},
   title     = {InterpNet: Interpretability for Autonomous Driving Neural Networks},
   month     = {July},
   booktitle = {The 2022 KDD Undergraduate Consortium (KDD-UC)},
   year      = {2022},
}
Arpita Vats*, David C. Anastasiu. Key Point-Based Driver Activity Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 3274-3281, 2022.
@inproceedings{vats-vatsA2022,
   author    = {Arpita Vats and David C. Anastasiu},
   title     = {Key Point-Based Driver Activity Recognition},
   month     = {June},
   booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   year      = {2022},
   pages     = {3274-3281},
}
M. Naphade, S. Wang, D. C. Anastasiu, Z. Tang, M. Chang, Y. Yao, L. Zheng, M. Shaiqur Rahman, A. Venkatachalapathy, A. Sharma, Q. Feng, V. Ablavsky, S. Sclaroff, P. Chakraborty, A. Li, S. Li, R. Chellappa. The 6th AI City Challenge. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (CVPRW'22), pages 3346-3355, IEEE Computer Society, 2022.
@inproceedings{naphade-aicitychallenge2022,
   author    = {M. Naphade and S. Wang and D. C. Anastasiu and Z. Tang and M. Chang and Y. Yao and L. Zheng and M. Shaiqur Rahman and A. Venkatachalapathy and A. Sharma and Q. Feng and V. Ablavsky and S. Sclaroff and P. Chakraborty and A. Li and S. Li and R. Chellappa},
   title     = {The 6th AI City Challenge},
   month     = {June},
   booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
   series    = {CVPRW'22},
   year      = {2022},
   pages     = {3346-3355},
   publisher = {IEEE Computer Society},
   address   = {Los Alamitos, CA, USA},
}
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lopez, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff. The 5th AI City Challenge. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (CVPRW'21), pages 4263-4273, 2021.
@inproceedings{naphade-aicitychallenge2021,
   author    = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming Ching Chang and Xiaodong Yang and Yue Yao and Liang Zheng and Pranamesh Chakraborty and Christian E. Lopez and Anuj Sharma and Qi Feng and Vitaly Ablavsky and Stan Sclaroff},
   title     = {The 5th AI City Challenge},
   month     = {June},
   booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   series    = {CVPRW'21},
   year      = {2021},
   pages     = {4263-4273},
}
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty. The 4th AI City Challenge. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (CVPRW'20), 1:2665-2674, 2020.
@inproceedings{naphade-aicitychallenge2020,
   author    = {Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming Ching Chang and Xiaodong Yang and Liang Zheng and Anuj Sharma and Rama Chellappa and Pranamesh Chakraborty},
   title     = {The 4th AI City Challenge},
   volume    = {1},
   month     = {June},
   booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   series    = {CVPRW'20},
   year      = {2020},
   pages     = {2665-2674},
}
Shuai Hua*, David C. Anastasiu. Effective Vehicle Tracking Algorithm for Smart Traffic Networks. In Thirteenth IEEE International Conference on Service-Oriented System Engineering (SOSE) (SOSE 2019), IEEE, 2019. Acceptance Rate: 28%.
@inproceedings{hua-sose2019,
   author    = {Shuai Hua and David C. Anastasiu},
   title     = {Effective Vehicle Tracking Algorithm for Smart Traffic Networks},
   month     = {April},
   booktitle = {Thirteenth IEEE International Conference on Service-Oriented System Engineering (SOSE)},
   series    = {SOSE 2019},
   year      = {2019},
   publisher = {IEEE},
   location  = {San Francisco East Bay, California, USA},
   note      = {Acceptance Rate: 28\%.},
}
Zheng Tang, Milind Naphade, Ming Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq Neng Hwang. CityFlow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification. In CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019. Acceptance Rate: 25.2%.
@inproceedings{tang-tang2019cityflow,
   author    = {Zheng Tang and Milind Naphade and Ming Yu Liu and Xiaodong Yang and Stan Birchfield and Shuo Wang and Ratnesh Kumar and David C. Anastasiu and Jenq Neng Hwang},
   title     = {CityFlow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification},
   booktitle = {CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition},
   series    = {CVPR 2019},
   year      = {2019},
   note      = {Acceptance Rate: 25.2\%.},
}
Manika Kapoor*, David C. Anastasiu. A Data-Driven Approach for Detecting Autism Spectrum Disorders. In Data Science -- Analytics and Applications (iDSC 2019), Springer Fachmedien Wiesbaden, 2019.
@inproceedings{kapoor-idsc2019,
   author    = {Manika Kapoor and David C. Anastasiu},
   title     = {A Data-Driven Approach for Detecting Autism Spectrum Disorders},
   booktitle = {Data Science -- Analytics and Applications},
   series    = {iDSC 2019},
   year      = {2019},
   publisher = {Springer Fachmedien Wiesbaden},
   address   = {Wiesbaden},
   location  = {Salzburg, Austria},
}
Saloni Mohan*, Sahitya Mullapudi*, Sudheer Sammeta*, Parag Vijayvergia*, David C. Anastasiu. Stock Price Prediction using News Sentiment Analysis. In 2019 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService) (BDS 2019), IEEE, 2019. Acceptance Rate: 19.5%.
@inproceedings{mohan-bds2019,
   author    = {Saloni Mohan and Sahitya Mullapudi and Sudheer Sammeta and Parag Vijayvergia and David C. Anastasiu},
   title     = {Stock Price Prediction using News Sentiment Analysis},
   month     = {April},
   booktitle = {2019 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService)},
   series    = {BDS 2019},
   year      = {2019},
   publisher = {IEEE},
   location  = {San Francisco East Bay, California, USA},
   note      = {Acceptance Rate: 19.5\%.},
}
David C. Anastasiu, Byron J. Gao, David Buttler. A Framework for Personalized and Collaborative Clustering of Search Results. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM'11), pages 573-582, ACM, 2011. Acceptance Rate: 25%.
@inproceedings{anastasiu-cikm2011,
   author    = {David C. Anastasiu and Byron J. Gao and David Buttler},
   title     = {A Framework for Personalized and Collaborative Clustering of Search Results},
   booktitle = {Proceedings of the 20th ACM International Conference on Information and Knowledge Management},
   series    = {CIKM'11},
   year      = {2011},
   pages     = {573-582},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Glasgow, Scotland, UK},
   note      = {Acceptance Rate: 25\%.},
}
David C. Anastasiu, Byron J. Gao, David Buttler. ClusteringWiki: personalized and collaborative clustering of search results. In The 34th ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR 2011), pages 1263-1264, 2011. Acceptance Rate: 20%.
@inproceedings{anastasiu-sigir2011,
   author    = {David C. Anastasiu and Byron J. Gao and David Buttler},
   title     = {ClusteringWiki: personalized and collaborative clustering of search results},
   booktitle = {The 34th ACM SIGIR International Conference on Research and Development in Information Retrieval},
   series    = {SIGIR 2011},
   year      = {2011},
   pages     = {1263-1264},
   location  = {Beijing, China},
   note      = {Acceptance Rate: 20\%.},
}
Byron J. Gao, David C. Anastasiu, Xing Jiang. Utilizing User-input Contextual Terms for Query Disambiguation. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters (COLING'10), pages 329-337, Association for Computational Linguistics, 2010. Acceptance Rate: 41%.
@inproceedings{gao-coling2010,
   author    = {Byron J. Gao and David C. Anastasiu and Xing Jiang},
   title     = {Utilizing User-input Contextual Terms for Query Disambiguation},
   booktitle = {Proceedings of the 23rd International Conference on Computational Linguistics: Posters},
   series    = {COLING'10},
   year      = {2010},
   pages     = {329-337},
   publisher = {Association for Computational Linguistics},
   address   = {Stroudsburg, PA, USA},
   location  = {Beijing, China},
   note      = {Acceptance Rate: 41\%.},
}
Anupama Upadhayula*, Avinash Ravilla*, Ishwarya Varadarajan*, Sowmya Viswanathan*, David C. Anastasiu. Study Area Recommendation via Network Log Analytics. In The Seventh IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MCCSE 2019), IEEE, 2019.
@inproceedings{upadhayula-mccse2019,
   author    = {Anupama Upadhayula and Avinash Ravilla and Ishwarya Varadarajan and Sowmya Viswanathan and David C. Anastasiu},
   title     = {Study Area Recommendation via Network Log Analytics},
   month     = {April},
   booktitle = {The Seventh IEEE International Conference on Mobile Cloud Computing, Services, and Engineering},
   series    = {MCCSE 2019},
   year      = {2019},
   publisher = {IEEE},
   location  = {San Francisco East Bay, California, USA},
}
Milind Naphade, Zheng Tang, Ming Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq Neng Hwang, Siwei Lyu. The 2019 AI City Challenge. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (CVPRW'19), 1:452-460, 2019.
@inproceedings{naphade-aicitychallenge2019,
   author    = {Milind Naphade and Zheng Tang and Ming Ching Chang and David C. Anastasiu and Anuj Sharma and Rama Chellappa and Shuo Wang and Pranamesh Chakraborty and Tingting Huang and Jenq Neng Hwang and Siwei Lyu},
   title     = {The 2019 AI City Challenge},
   volume    = {1},
   month     = {June},
   booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   series    = {CVPRW'19},
   year      = {2019},
   pages     = {452-460},
   location  = {Long Beach, CA, USA},
}
Manika Kapoor*, Shuai Hua*, David C. Anastasiu. Improving Student Motivation through Competitive Active Learning. In 2018 IEEE Frontiers in Education Conference (FIE 2018), IEEE, 2018. Acceptance Rate: 20%.
@inproceedings{kapoor-fie2018,
   author    = {Manika Kapoor and Shuai Hua and David C. Anastasiu},
   title     = {Improving Student Motivation through Competitive Active Learning},
   month     = {October},
   booktitle = {2018 IEEE Frontiers in Education Conference},
   series    = {FIE 2018},
   year      = {2018},
   publisher = {IEEE},
   location  = {San Jose, CA, USA},
   note      = {Acceptance Rate: 20\%.},
}
Swapnil Gaikwad*, Melody Moh, David C. Anastasiu. Data Structure for Efficient Line of Sight Queries. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'18), ACM, 2018. Acceptance Rate: 18%.
@inproceedings{gaikwad-cikm2018,
   author    = {Swapnil Gaikwad and Melody Moh and David C. Anastasiu},
   title     = {Data Structure for Efficient Line of Sight Queries},
   booktitle = {Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
   series    = {CIKM'18},
   year      = {2018},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Turin, Italy},
   note      = {Acceptance Rate: 18\%.},
}
Milind Naphade, Ming Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming Yu Liu, Rama Chellappa, Jenq Neng Hwang, Siwei Lyu. The 2018 NVIDIA AI City Challenge. In 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'18), 1:53-60, 2018.
@inproceedings{naphade-aicitychallenge2018,
   author    = {Milind Naphade and Ming Ching Chang and Anuj Sharma and David C. Anastasiu and Vamsi Jagarlamudi and Pranamesh Chakraborty and Tingting Huang and Shuo Wang and Ming Yu Liu and Rama Chellappa and Jenq Neng Hwang and Siwei Lyu},
   title     = {The 2018 NVIDIA AI City Challenge},
   volume    = {1},
   month     = {July},
   booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
   series    = {CVPRW'18},
   year      = {2018},
   pages     = {53-60},
   location  = {Salt Lake City, UT, USA},
}
Shuai Hua*, Manika Kapoor*, David C. Anastasiu. Vehicle Tracking and Speed Estimation from Traffic Videos. In 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'18), 1:153-1537, 2018.
@inproceedings{hua-aicity2018,
   author    = {Shuai Hua and Manika Kapoor and David C. Anastasiu},
   title     = {Vehicle Tracking and Speed Estimation from Traffic Videos},
   volume    = {1},
   month     = {July},
   booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
   series    = {CVPRW'18},
   year      = {2018},
   pages     = {153-1537},
   location  = {Salt Lake City, UT, USA},
}
Swapnil Gaikwad*, David C. Anastasiu. Optimal Constrained Wireless Emergency Network Antenna Placement. In Proceedings of the IEEE Smart City Innovations 2017 Conference (IEEE SCI 2017), 2017.
@inproceedings{gaikwad-sci2017,
   author    = {Swapnil Gaikwad and David C. Anastasiu},
   title     = {Optimal Constrained Wireless Emergency Network Antenna Placement},
   booktitle = {Proceedings of the IEEE Smart City Innovations 2017 Conference},
   series    = {IEEE SCI 2017},
   year      = {2017},
   location  = {San Francisco Bay Area, USA},
}
David C. Anastasiu. Cosine Approximate Nearest Neighbors. In Data Science -- Analytics and Applications (iDSC 2017), pages 45-50, Springer Fachmedien Wiesbaden, 2017.
@inproceedings{anastasiu-idsc2017,
   author    = {David C. Anastasiu},
   title     = {Cosine Approximate Nearest Neighbors},
   booktitle = {Data Science -- Analytics and Applications},
   series    = {iDSC 2017},
   year      = {2017},
   pages     = {45-50},
   publisher = {Springer Fachmedien Wiesbaden},
   address   = {Wiesbaden},
   location  = {Salzburg, Austria},
}
Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeron Jeon, Kaikai Liu, Ming Ching Chang, Siwei Lyu, Zeyu Gao. The NVIDIA AI City Challenge. In 2017 IEEE SmartWorld Conference (SmartWorld'17), IEEE, 2017.
@inproceedings{naphade-aicitychalenge2017,
   author    = {Milind Naphade and David C. Anastasiu and Anuj Sharma and Vamsi Jagrlamudi and Hyeron Jeon and Kaikai Liu and Ming Ching Chang and Siwei Lyu and Zeyu Gao},
   title     = {The NVIDIA AI City Challenge},
   booktitle = {2017 IEEE SmartWorld Conference},
   series    = {SmartWorld'17},
   year      = {2017},
   publisher = {IEEE},
   address   = {Piscataway, NJ, USA},
   location  = {East Bay Silicon Valley, CA, USA},
}
Niveditha Bhandary*, Charles MacKay*, Alex Richards*, Ji Tong*, David C. Anastasiu. Robust Classification of City Roadway Objects for Traffic Related Applications. In 2017 IEEE Smart World NVIDIA AI City Challenge (SmartWorld'17), IEEE, 2017.
@inproceedings{bhandary-aicity2017,
   author    = {Niveditha Bhandary and Charles MacKay and Alex Richards and Ji Tong and David C. Anastasiu},
   title     = {Robust Classification of City Roadway Objects for Traffic Related Applications},
   booktitle = {2017 IEEE Smart World NVIDIA AI City Challenge},
   series    = {SmartWorld'17},
   year      = {2017},
   publisher = {IEEE},
   address   = {Piscataway, NJ, USA},
   location  = {East Bay Silicon Valley, CA, USA},
}
David C. Anastasiu, George Karypis. Efficient Identification of Tanimoto Nearest Neighbors. In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (DSAA'16), pages 156-165, 2016. Acceptance Rate: 20.2%. Best Research Paper Award.
@inproceedings{anastasiu-dsaa2016,
   author    = {David C. Anastasiu and George Karypis},
   title     = {Efficient Identification of Tanimoto Nearest Neighbors},
   booktitle = {2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)},
   series    = {DSAA'16},
   year      = {2016},
   pages     = {156-165},
   location  = {Montréal, Canada},
   note      = {Acceptance Rate: 20.2\%. Best Research Paper Award.},
}
David C. Anastasiu, George Karypis. Fast Parallel Cosine K-Nearest Neighbor Graph Construction. In 2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3) (IA3 2016), pages 50-53, 2016. Acceptance Rate: 48.3%.
@inproceedings{anastasiu-sc2016,
   author    = {David C. Anastasiu and George Karypis},
   title     = {Fast Parallel Cosine K-Nearest Neighbor Graph Construction},
   month     = {Nov},
   booktitle = {2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3)},
   series    = {IA3 2016},
   year      = {2016},
   pages     = {50-53},
   note      = {Acceptance Rate: 48.3\%.},
}
David C. Anastasiu. SC16 Early Career Workshop. 2016. The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing)
@unpublished{anastasiu-sc2016ec,
   author  = {David C. Anastasiu},
   title   = {SC16 Early Career Workshop},
   year    = {2016},
   date    = {2016-11-14},
   address = {Salt Lake City, UT},
   note    = {The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing)},
}
David C. Anastasiu, George Karypis. L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM'15), pages 791-800, ACM, 2015. Acceptance Rate: 26%.
@inproceedings{anastasiu-cikm2015,
   author    = {David C. Anastasiu and George Karypis},
   title     = {L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning},
   booktitle = {Proceedings of the 24th ACM International Conference on Information and Knowledge Management},
   series    = {CIKM'15},
   year      = {2015},
   pages     = {791-800},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Melbourne, Australia},
   note      = {Acceptance Rate: 26\%.},
}
David C. Anastasiu, Al M. Rashid, Andrea Tagarelli, George Karypis. Understanding Computer Usage Evolution. In 31st IEEE International Conference on Data Engineering (ICDE 2015), pages 1549-1560, 2015. Acceptance Rate: 25%.
@inproceedings{anastasiu-icde2015,
   author    = {David C. Anastasiu and Al M. Rashid and Andrea Tagarelli and George Karypis},
   title     = {Understanding Computer Usage Evolution},
   booktitle = {31st IEEE International Conference on Data Engineering},
   series    = {ICDE 2015},
   year      = {2015},
   pages     = {1549-1560},
   location  = {Seoul, Korea},
   note      = {Acceptance Rate: 25\%.},
}
David C. Anastasiu, George Karypis. PL2AP: Fast Parallel Cosine Similarity Search. In Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms, in conjunction with SC'15 (IA3 2015), pages 1-8, ACM, 2015. Acceptance Rate: 58.3%.
@inproceedings{anastasiu-sc2015,
   author    = {David C. Anastasiu and George Karypis},
   title     = {PL2AP: Fast Parallel Cosine Similarity Search},
   booktitle = {Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms, in conjunction with SC'15},
   series    = {IA3 2015},
   year      = {2015},
   pages     = {1-8},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Austin, TX, USA},
   note      = {Acceptance Rate: 58.3\%.},
}
David C. Anastasiu, George Karypis. L2AP: Fast Cosine Similarity Search With Prefix L-2 Norm Bounds. In The 30th IEEE International Conference on Data Engineering (ICDE 2014), pages 784-795, 2014. Acceptance Rate: 20%.
@inproceedings{anastasiu-icde2014,
   author    = {David C. Anastasiu and George Karypis},
   title     = {L2AP: Fast Cosine Similarity Search With Prefix L-2 Norm Bounds},
   booktitle = {The 30th IEEE International Conference on Data Engineering},
   series    = {ICDE 2014},
   year      = {2014},
   pages     = {784-795},
   location  = {Chicago, USA},
   note      = {Acceptance Rate: 20\%.},
}
Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao. OLAP For Multicriteria Maintenance Scheduling. In The 5th International Conference on Data Mining (DMIN'09), pages 35-41, CSREA Press, 2009.
@inproceedings{cai-dmin2009,
   author    = {Walter Cai and David C. Anastasiu and Mingji Xia and Byron J. Gao},
   title     = {OLAP For Multicriteria Maintenance Scheduling},
   booktitle = {The 5th International Conference on Data Mining},
   series    = {DMIN'09},
   year      = {2009},
   date      = {2009-10-28},
   pages     = {35-41},
   publisher = {CSREA Press},
   location  = {Las Vegas, USA},
}
Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu. The Gardener's Problem for Web Information Monitoring. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), pages 1525-1528, ACM, 2009. Acceptance Rate: 15%.
@inproceedings{gao-cikm2009,
   author    = {Byron J. Gao and Mingji Xia and Walter Cai and David C. Anastasiu},
   title     = {The Gardener's Problem for Web Information Monitoring},
   booktitle = {Proceedings of the 18th ACM Conference on Information and Knowledge Management},
   series    = {CIKM'09},
   year      = {2009},
   pages     = {1525-1528},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Hong Kong, China},
   note      = {Acceptance Rate: 15\%.},
}

Book Chapters

Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards*, David C. Anastasiu, George Karypis. Scalability and Distribution of Collaborative Recommenders. In Collaborative Recommendations: Algorithms, Practical Challenges and Applications (CR2019), World Scientific Publishing, 2019.
@incollection{christakopoulou-book2019,
   author    = {Evangelia Christakopoulou and Shaden Smith and Mohit Sharma and Alex Richards and David C. Anastasiu and George Karypis},
   title     = {Scalability and Distribution of Collaborative Recommenders},
   month     = {April},
   booktitle = {Collaborative Recommendations: Algorithms, Practical Challenges and Applications},
   series    = {CR2019},
   year      = {2019},
   publisher = {World Scientific Publishing},
   address   = {Singapore},
}
David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis. Big Data Frequent Pattern Mining. In Frequent Pattern Mining, pages 225-260, Springer International Publishing, 2014.
@incollection{anastasiu-book2014,
   author    = {David C. Anastasiu and Jeremy Iverson and Shaden Smith and George Karypis},
   title     = {Big Data Frequent Pattern Mining},
   booktitle = {Frequent Pattern Mining},
   year      = {2014},
   pages     = {225-260},
   publisher = {Springer International Publishing},
   address   = {Switzerland},
}
David C. Anastasiu, Andrea Tagarelli, George Karypis. Document Clustering: The Next Frontier. In Data Clustering: Algorithms and Applications, pages 305-338, CRC Press, 2013.
@incollection{anastasiu-book2013,
   author    = {David C. Anastasiu and Andrea Tagarelli and George Karypis},
   title     = {Document Clustering: The Next Frontier},
   booktitle = {Data Clustering: Algorithms and Applications},
   year      = {2013},
   pages     = {305-338},
   publisher = {CRC Press},
   address   = {Boca Raton, FL, USA},
}

Technical Reports

Yanhong Li*, Jack Xu, David C. Anastasiu. Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. 2023.
@techreport{li-li2023Arxiv,
   author = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title  = {Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting},
   number = {2312.08763},
   year   = {2023},
}
Yijia Li, Jonathan Nguyen*, David C. Anastasiu, Edgar A. Arriaga. CosTaL: An Accurate and Scalable Graph-Based Clustering Algorithm for High-Dimensional Single-Cell Data Analysis. bioRxiv, Cold Spring Harbor Laboratory, 2022.
@article{li-li2022bioRxiv,
   author    = {Yijia Li and Jonathan Nguyen and David C. Anastasiu and Edgar A. Arriaga},
   title     = {CosTaL: An Accurate and Scalable Graph-Based Clustering Algorithm for High-Dimensional Single-Cell Data Analysis},
   journal   = {bioRxiv},
   series    = {bioRxiv'22},
   year      = {2022},
   publisher = {Cold Spring Harbor Laboratory},
}
Yanhong Li*, Jack Xu, David C. Anastasiu. An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. 2022.
@techreport{li-li2022Arxiv,
   author = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title  = {An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks},
   number = {2211.15891},
   year   = {2022},
}
Bipasa Bose, Taylor Downey*, Anand K. Ramasubramanian, David C. Anastasiu. Identification of distinct characteristics of antibiofilm peptides and prospection of diverse sources for efficacious sequences. bioRxiv, Cold Spring Harbor Laboratory, 2021.
@article{bose-bose2021,
   author    = {Bipasa Bose and Taylor Downey and Anand K. Ramasubramanian and David C. Anastasiu},
   title     = {Identification of distinct characteristics of antibiofilm peptides and prospection of diverse sources for efficacious sequences},
   journal   = {bioRxiv},
   series    = {bioRxiv'21},
   year      = {2021},
   publisher = {Cold Spring Harbor Laboratory},
}
Manika Kapoor*, David C. Anastasiu. A Data-Driven Approach for Detecting Autism Spectrum Disorders. 2019.
@techreport{kapoor-kapoor2019-tr,
   author = {Manika Kapoor and David C. Anastasiu},
   title  = {A Data-Driven Approach for Detecting Autism Spectrum Disorders},
   number = {2019-1},
   year   = {2019},
}
David J. Buttler, David Andrzejewski, Keith D. Stevens, David C. Anastasiu, Byron J. Gao. Rapid Exploitation and Analysis of Documents. 2011.
@techreport{buttler-tr2011,
   author = {David J. Buttler and David Andrzejewski and Keith D. Stevens and David C. Anastasiu and Byron J. Gao},
   title  = {Rapid Exploitation and Analysis of Documents},
   number = {LLNL-TR-517731},
   year   = {2011},
}

Tutorials, Keynotes, and Invited Talks

David C. Anastasiu. Ph.D. Panel Discussion. Santa Clara University, Santa Clara, CA, 2024-04-17.
@unpublished{anastasiu-phdpanel2024,
   author   = {David C. Anastasiu},
   title    = {Ph.D. Panel Discussion},
   year     = {2024},
   date     = {2024-04-17},
   location = {Santa Clara University, Santa Clara, CA},
   note     = {Participated in a panel discussion organized by the School of Engineering Ph.D. Club, Santa Clara University, Santa Clara, CA. Apr 17, 2024},
}
David C. Anastasiu. AI for the Greater Good. UC Santa Cruz, Santa Cruz, CA, 2024-01-17.
@unpublished{anastasiu-ucsc2024,
   author   = {David C. Anastasiu},
   title    = {AI for the Greater Good},
   year     = {2024},
   date     = {2024-01-17},
   location = {UC Santa Cruz, Santa Cruz, CA},
   note     = {Invited talk at the U.C. Santa Cruz Computer Science \& Engineering Colloquium, University of California Santa Cruz, Santa Cruz, CA. Jan 17, 2024},
}
David C. Anastasiu. AI for the Greater Good. CSEN Research Seminar, Santa Clara Univerity, Santa Clara, CA, 2023-10-30.
@unpublished{anastasiu-csenrs2023,
   author   = {David C. Anastasiu},
   title    = {AI for the Greater Good},
   year     = {2023},
   date     = {2023-10-30},
   location = {CSEN Research Seminar, Santa Clara Univerity, Santa Clara, CA},
   note     = {Talk at the Computer Science and Engineering Research Seminar, Santa Clara University, Santa Clara, CA. Oct 30, 2023},
}
David C. Anastasiu. The AI Revolution of Traffic Analytics. The 4th Silicon Valley Cybersecurity Conference, San Jose, CA, 2023-05-18.
@unpublished{anastasiu-svcc2023key,
   author   = {David C. Anastasiu},
   title    = {The AI Revolution of Traffic Analytics},
   year     = {2023},
   date     = {2023-05-18},
   location = {The 4th Silicon Valley Cybersecurity Conference, San Jose, CA},
   note     = {Talk at the 4th Silicon Valley Cybersecurity Conference (SVCC), San Jose, CA. May 18, 2023},
}
David C. Anastasiu. The Joys of Working with Data. UC Berkeley, Berkeley, CA, 2023-04-06.
@unpublished{anastasiu-berkeley2023,
   author   = {David C. Anastasiu},
   title    = {The Joys of Working with Data},
   year     = {2023},
   date     = {2023-04-06},
   location = {UC Berkeley, Berkeley, CA},
   note     = {Talk at the Breaking Into Research event, part of the Big Data at Berkeley Speaker Series, at UC Berkeley, Berkeley, CA. Apr 6, 2023},
}
David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli. Tutorial: Are You My Neighbor? Bringing Order to Neighbor Computing Problems. In The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), ACM. Anchorage, AK, USA, 2019-08-04.
@inproceedings{anastasiu-kdd2019,
   author    = {David C. Anastasiu and Huzefa Rangwala and Andrea Tagarelli},
   title     = {Are You My Neighbor? Bringing Order to Neighbor Computing Problems.},
   booktitle = {The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
   series    = {KDD'19},
   year      = {2019},
   date      = {2019-08-04},
   publisher = {ACM},
   address   = {New York, NY, USA},
   location  = {Anchorage, AK, USA},
   note      = {Tutorial presented at KDD'19, Aug 04, 2019.},
}
David C. Anastasiu. Keynote: The AI Data Revolution: Doing More With Less Data Labeling. 2nd International Data Science Conference 2019, Salzburg, Austria, 2019-05-22.
@unpublished{anastasiu-idsc2019key,
   author   = {David C. Anastasiu},
   title    = {The AI Data Revolution: Doing More With Less Data Labeling},
   year     = {2019},
   date     = {2019-05-22},
   location = {2nd International Data Science Conference 2019, Salzburg, Austria},
   note     = {Keynote at the 2nd International Data Science Conference 2019, Salzburg, Austria. May 22, 2019},
}
David C. Anastasiu. Keynote: The Biomedical AI Revolution. 10th Annual Bay Area Biomedical Device Conference, San José, CA, 2019-04-03.
@unpublished{anastasiu-bmi2019,
   author   = {David C. Anastasiu},
   title    = {The Biomedical AI Revolution},
   year     = {2019},
   date     = {2019-04-03},
   location = {10th Annual Bay Area Biomedical Device Conference, San José, CA},
   note     = {Keynote at the 10th Annual Bay Area Biomedical Device Conference, San José, CA. Apr 03, 2019},
}
David C. Anastasiu. Fireside Chat on Current Trends in Machine Learning. IBM Machine Learning Hub, San José, CA, 2018-09-25.
@unpublished{anastasiu-ibm2018,
   author   = {David C. Anastasiu},
   title    = {Fireside Chat on Current Trends in Machine Learning},
   year     = {2018},
   date     = {2018-09-25},
   location = {IBM Machine Learning Hub, San José, CA},
   note     = {Talk at IBM Machine Learning Hub, San José, CA. Sep 25, 2018},
}
Alessandro Bellofiore, Ragwa Elsayed*, David C. Anastasiu, Rathna Ramesh*. A novel image-based creatinine monitor for chronic kidney disease. Dublin, Ireland, 2018-07-11.
@unpublished{bellofiore-wcb2018,
   author   = {Alessandro Bellofiore and Ragwa Elsayed and David C. Anastasiu and Rathna Ramesh},
   title    = {A novel image-based creatinine monitor for chronic kidney disease},
   year     = {2018},
   date     = {2018-07-11},
   location = {Dublin, Ireland},
   note     = {Talk by Alessandro Bellofiore at the 8th World Congress of Biomechanics, held in Dublin, Ireland.},
}
David C. Anastasiu. Efficient Neighborhood Graph Construction for Sparse High Dimensional Data. Lawrence Livermore National Laboratory, Livermore, CA, 2017-02-08.
@unpublished{anastasiu-llnl2017,
   author   = {David C. Anastasiu},
   title    = {Efficient Neighborhood Graph Construction for Sparse High Dimensional Data},
   year     = {2017},
   date     = {2017-02-08},
   location = {Lawrence Livermore National Laboratory, Livermore, CA},
   note     = {Talk at Lawrence Livermore National Laboratory, Livermore, CA, Feb 08, 2017},
}

Posters

Yanhong Li*, Jack Xu, David C. Anastasiu. Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. 2024. Poster presented by Yanhong Li at the 2024 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.
@misc{li-liXA2024,
   author   = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title    = {Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting},
   year     = {2024},
   date     = {2024-02-23},
   location = {Santa Clara, CA, USA},
   note     = {Poster presented by Yanhong Li at the 2024 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.},
}
Arpita Vats*, Gheorghe Guzun, David C. Anastasiu. CLP: A Platform for Competitive Learning. 2023. Poster presented by Arpita Vats at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA. Third-place poster presentations winner in the Ph.D./Post-doc category.
@misc{vats-vatsGA2023,
   author   = {Arpita Vats and Gheorghe Guzun and David C. Anastasiu},
   title    = {CLP: A Platform for Competitive Learning},
   year     = {2023},
   date     = {2023-02-24},
   location = {Santa Clara, CA, USA},
   note     = {Poster presented by Arpita Vats at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA. Third-place poster presentations winner in the Ph.D./Post-doc category.},
}
Yanhong Li*, Jack Xu, David C. Anastasiu. An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. 2023. Poster presented by Yanhong Li at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.
@misc{li-liXA2023,
   author   = {Yanhong Li and Jack Xu and David C. Anastasiu},
   title    = {An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks},
   year     = {2023},
   date     = {2023-02-24},
   location = {Santa Clara, CA, USA},
   note     = {Poster presented by Yanhong Li at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.},
}
Alex Whelan*, Soham Phadke*, Alessandro Bellofiore, David C. Anastasiu. On-Device Prediction for Chronic Kidney Disease. 2023. Poster presented by Alex Whelan at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.
@misc{whelan-whelanPBA2023,
   author   = {Alex Whelan and Soham Phadke and Alessandro Bellofiore and David C. Anastasiu},
   title    = {On-Device Prediction for Chronic Kidney Disease},
   year     = {2023},
   date     = {2023-02-24},
   location = {Santa Clara, CA, USA},
   note     = {Poster presented by Alex Whelan at the 2023 School of Engineering Research Showcase, Santa Clara University, Santa Clara, CA.},
}
Yijia Li, David C. Anastasiu, Edgar Arriaga. CosTaL: A network-based algorithm for clustering high-dimensional single-cell datasets. 2022. Abstract and poster presented by Yijia Li at the 30th annual conference on Intelligent Systems for Molecular Biology (ISMB), Madison, WI. Acceptance rate: 19.8%.
@misc{li-liAA2022,
   author   = {Yijia Li and David C. Anastasiu and Edgar Arriaga},
   title    = {CosTaL: A network-based algorithm for clustering high-dimensional single-cell datasets},
   year     = {2022},
   date     = {2022-07-11},
   location = {Madison, WI, USA},
   note     = {Abstract and poster presented by Yijia Li at the 30th annual conference on Intelligent Systems for Molecular Biology (ISMB), Madison, WI. Acceptance rate: 19.8\%.},
}
David C. Anastasiu, Gheorghi Guzun. Using Competitive Learning to Increase Student Engagement. 2021. Poster presented by David C. Anastasiu at the 8th Academic Technology Expo (ATXpo 2021), Berkeley, CA.
@misc{anastasiu-atxpo2021,
   author   = {David C. Anastasiu and Gheorghi Guzun},
   title    = {Using Competitive Learning to Increase Student Engagement},
   year     = {2021},
   date     = {2021-10-04},
   location = {Berkeley, CA, USA},
   note     = {Poster presented by David C. Anastasiu at the 8th Academic Technology Expo (ATXpo 2021), Berkeley, CA.},
}
Manika Kapoor*, David C. Anastasiu. A Data-Driven Approach For Detecting Autism Spectrum Disorders. 2018. Poster presented by Manika Kapoor at the 2018 Grace Hopper Celebration conference, Houston, TX.
@misc{kapoor-ghc2018,
   author   = {Manika Kapoor and David C. Anastasiu},
   title    = {A Data-Driven Approach For Detecting Autism Spectrum Disorders},
   year     = {2018},
   date     = {2018-09-27},
   location = {Houston, TX, USA},
   note     = {Poster presented by Manika Kapoor at the 2018 Grace Hopper Celebration conference, Houston, TX.},
}
David C. Anastasiu. Teaching With Jupyter In-Class Activities: Lessons Learned and Next Steps. 2018. Poster presented at the 20th CSU Symposium on University Teaching, held at Cal-Poly Pomona, Pomona, CA.
@misc{anastasiu-csut2018,
   author   = {David C. Anastasiu},
   title    = {Teaching With Jupyter In-Class Activities: Lessons Learned and Next Steps},
   year     = {2018},
   date     = {2018-04-14},
   location = {Pomona, CA, USA},
   note     = {Poster presented at the 20th CSU Symposium on University Teaching, held at Cal-Poly Pomona, Pomona, CA.},
}
Ragwa M. El Sayed*, Rathna Ramesh*, Alessandro Bellofiore, David C. Anastasiu, Melinda Simon. Patient Friendly Kidney Function Screening. 2018. Poster presented by Ragwa M. El Sayed at the National Kidney Foundation 2018 Spring Clinical Meeting, Austin, TX.
@misc{sayed-nkfscm2018,
   author   = {Ragwa M. El Sayed and Rathna Ramesh and Alessandro Bellofiore and David C. Anastasiu and Melinda Simon},
   title    = {Patient Friendly Kidney Function Screening},
   year     = {2018},
   date     = {2018-04-11},
   location = {Austin, TX, USA},
   note     = {Poster presented by Ragwa M. El Sayed at the National Kidney Foundation 2018 Spring Clinical Meeting, Austin, TX.},
}

Software

Kevin Zhou*, David C. Anastasiu. LSPM. 2024. In support of our CIKM 2024 paper, ``Long-term hydrologic time series prediction with LSPM''
Alex Whelan*, David C. Anastasiu. SPR. 2024. In support of our Annals of Biomedical Engineering paper, ``Selective partitioned regression for accurate kidney health monitoring''
Yanhong Li*, David C. Anastasiu. DAN. 2024. In support of our AAAI 2024 paper, ``Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting''
Yanhong Li*, David C. Anastasiu. SEED. 2023. In support of our IEEE BigData 2023 paper, ``Seed: An effective model for highly-skewed streamflow time series data forecasting''
Marcus Chavez*, Sean Leininger*, Joseph Pham Nguyen*, David C. Anastasiu. FlowView: Web application for model training, inference, and visualization of stream flow and reservoir water level predicted levels in Santa Clara County. 2023.
Arpita Vats*, David C. Anastasiu. RetailCounter: Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking. 2023. In support of our CVPRW'23 paper ``Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking''
Yanhong Li*, David C. Anastasiu. NECPlus. 2023. In support of our AAAI 2023 paper, ``An extreme-adaptive time series prediction model based on probability-enhanced lstm neural networks''
Arpita Vats*, David C. Anastasiu. Key Point-Based Naturalistic Driving Action Recognition (KNDAR). 2022. In support of our CVPRW'22 paper ``Key Point-Based Naturalistic Driving Action Recognition''
David C. Anastasiu, George Karypis. TAPNN: Efficient Identification of Tanimoto Nearest Neighbors. 2016.
David C. Anastasiu, George Karypis. L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. 2015.
David C. Anastasiu, George Karypis. Orion: Multivariate Resource Utilization Time Series Evolution Analysis. 2014.
David C. Anastasiu, George Karypis. L2AP: Fast Cosine Similarity Search With Prefix L-2 Norm Bounds. 2014.