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2020 – today
- 2024
[c36]Yanhong Li, Jack Xu, David C. Anastasiu:
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. AAAI 2024: 171-179- [c35]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, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [i10]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, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i9]Quan Kong, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, David C. Anastasiu, Yoichi Sato, Norimasa Kobori:
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding. CoRR abs/2407.15350 (2024) - 2023
- [j6]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 Bioinform. 24(3) (2023) - [c34]Yanhong Li, Jack Xu, David C. Anastasiu:
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. AAAI 2023: 8684-8691 - [c33]Yanhong Li, Jack Xu, David C. Anastasiu:
SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. IEEE Big Data 2023: 728-737 - [c32]Arpita Vats, David C. Anastasiu:
Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking. CVPR Workshops 2023: 5530-5537 - [c31]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. CVPR Workshops 2023: 5538-5548 - [i8]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. CoRR abs/2304.07500 (2023) - [i7]Yanhong Li, Jack Xu, David C. Anastasiu:
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. CoRR abs/2312.08763 (2023) - 2022
- [j5]Andrea Tagarelli, Ester Zumpano, David C. Anastasiu, Andrea Calì, Gottfried Vossen:
"Managing, Mining and Learning in the Legal Data Domain". Inf. Syst. 106: 101981 (2022) - [c30]Arpita Vats, David C. Anastasiu:
Key Point-Based Driver Activity Recognition. CVPR Workshops 2022: 3273-3280 - [c29]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng
, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c28]Arpita Vats, Gheorghi Guzun, David C. Anastasiu:
CLP: A Platform for Competitive Learning. EC-TEL 2022: 615-622 - [c27]Alex Whelan, Soham Phadke, Alessandro Bellofiore, David C. Anastasiu:
On-Device Prediction for Chronic Kidney Disease. GHTC 2022: 325-332 - [i6]Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David C. Anastasiu, Shuo Wang:
Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. CoRR abs/2204.08096 (2022) - [i5]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i4]Yanhong Li, Jack Xu, David C. Anastasiu:
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. CoRR abs/2211.15891 (2022) - 2021
- [c26]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [i3]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - 2020
- [c25]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. CVPR Workshops 2020: 2665-2674 - [i2]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. CoRR abs/2004.14619 (2020)
2010 – 2019
- 2019
- [j4]David C. Anastasiu, George Karypis:
Parallel cosine nearest neighbor graph construction. J. Parallel Distributed Comput. 129: 61-82 (2019) - [c24]Saloni Mohan, Sahitya Mullapudi, Sudheer Sammeta, Parag Vijayvergia, David C. Anastasiu:
Stock Price Prediction Using News Sentiment Analysis. BigDataService 2019: 205-208 - [c23]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. CVPR Workshops 2019: 452-460 - [c22]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. CVPR 2019: 8797-8806 - [c21]David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli:
Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems. KDD 2019: 3241-3242 - [c20]Anupama Upadhayula, Avinash Ravilla, Ishwarya Varadarajan, Sowmya Viswanathan, David C. Anastasiu:
Study Area Recommendation via Network Log Analytics. MobileCloud 2019: 48-55 - [c19]Shuai Hua, David C. Anastasiu:
Effective Vehicle Tracking Algorithm for Smart Traffic Networks. SOSE 2019 - [i1]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. CoRR abs/1903.09254 (2019) - 2018
- [c18]Swapnil Gaikwad, Melody Moh, David C. Anastasiu:
Data Structure for Efficient Line of Sight Queries. CIKM 2018: 1535-1538 - [c17]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. CVPR Workshops 2018: 53-60 - [c16]Shuai Hua, Manika Kapoor, David C. Anastasiu:
Vehicle Tracking and Speed Estimation From Traffic Videos. CVPR Workshops 2018: 153-160 - [c15]Manika Kapoor, Shuai Hua, David C. Anastasiu:
Improving Student Motivation through Competitive Active Learning. FIE 2018: 1-5 - [p3]Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis:
Scalability and Distribution of Collaborative Recommenders. Collaborative Recommendations 2018: 369-404 - 2017
- [j3]David C. Anastasiu, George Karypis:
Efficient identification of Tanimoto nearest neighbors. Int. J. Data Sci. Anal. 4(3): 153-172 (2017) - [c14]Niveditha Bhandary, Charles MacKay, Alex Richards, Ji Tong, David C. Anastasiu:
Robust classification of city roadway objects for traffic related applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c13]Swapnil Gaikwad, David C. Anastasiu:
Optimal constrained wireless emergency network antenna placement. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c12]Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao:
The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [c11]David C. Anastasiu, George Karypis:
Efficient Identification of Tanimoto Nearest Neighbors. DSAA 2016: 156-165 - [c10]David C. Anastasiu, George Karypis:
Fast Parallel Cosine K-Nearest Neighbor Graph Construction. IA3@SC 2016: 50-53 - 2015
- [c9]David C. Anastasiu, George Karypis:
L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. CIKM 2015: 791-800 - [c8]David C. Anastasiu, Al Mamunur Rashid, Andrea Tagarelli, George Karypis:
Understanding computer usage evolution. ICDE 2015: 1549-1560 - [c7]David C. Anastasiu, George Karypis:
PL2AP: fast parallel cosine similarity search. IA3@SC 2015: 8:1-8:8 - 2014
- [c6]David C. Anastasiu, George Karypis:
L2AP: Fast cosine similarity search with prefix L-2 norm bounds. ICDE 2014: 784-795 - [p2]David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis:
Big Data Frequent Pattern Mining. Frequent Pattern Mining 2014: 225-259 - 2013
- [j2]Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan:
User-Centric Organization of Search Results. IEEE Internet Comput. 17(3): 52-59 (2013) - [j1]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) - [p1]David C. Anastasiu, Andrea Tagarelli, George Karypis:
Document Clustering: The Next Frontier. Data Clustering: Algorithms and Applications 2013: 305-338 - 2011
- [c5]David C. Anastasiu, Byron J. Gao, David Buttler:
A framework for personalized and collaborative clustering of search results. CIKM 2011: 573-582 - [c4]Dragos C. Anastasiu, Byron J. Gao, David Buttler:
ClusteringWiki: personalized and collaborative clustering of search results. SIGIR 2011: 1263-1264 - 2010
- [c3]Byron J. Gao, David C. Anastasiu, Xing Jiang:
Utilizing User-input Contextual Terms for Query Disambiguation. COLING (Posters) 2010: 329-337
2000 – 2009
- 2009
- [c2]Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu:
The gardener's problem for web information monitoring. CIKM 2009: 1525-1528 - [c1]Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao:
OLAP For Multicriteria Maintenance Scheduling. DMIN 2009: 35-41
Coauthor Index
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last updated on 2024-10-11 17:30 CEST by the dblp team
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