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ORCIDZeeshan Rasheed
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2020 – today
- 2024
[c28]Mark Tenzer, Emmanuel Tung
, Zeeshan Rasheed, Khurram Shafique:
Generating Trajectories from Implicit Neural Models. MDM 2024: 129-138- [c27]Malik Abdul Sami, Muhammad Waseem, Zheying Zhang, Zeeshan Rasheed, Kari Systä, Pekka Abrahamsson:
Early Results of an AI Multiagent System for Requirements Elicitation and Analysis. PROFES 2024: 307-316 - [i17]Zeeshan Rasheed, Muhammad Waseem, Aakash Ahmad, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc, Pekka Abrahamsson:
Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis. CoRR abs/2402.01386 (2024) - [i16]Zeeshan Rasheed, Muhammad Waseem, Mika Saari, Kari Systä, Pekka Abrahamsson:
CodePori: Large Scale Model for Autonomous Software Development by Using Multi-Agents. CoRR abs/2402.01411 (2024) - [i15]Malik Abdul Sami, Zeeshan Rasheed, Kai-Kristian Kemell, Muhammad Waseem, Terhi Kilamo, Mika Saari, Anh Nguyen-Duc, Kari Systä, Pekka Abrahamsson:
System for systematic literature review using multiple AI agents: Concept and an empirical evaluation. CoRR abs/2403.08399 (2024) - [i14]Zeeshan Rasheed, Muhammad Waseem, Kari Systä, Pekka Abrahamsson:
Large Language Model Evaluation Via Multi AI Agents: Preliminary results. CoRR abs/2404.01023 (2024) - [i13]Zeeshan Rasheed, Malik Abdul Sami, Muhammad Waseem, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen, Kari Systä, Pekka Abrahamsson:
AI-powered Code Review with LLMs: Early Results. CoRR abs/2404.18496 (2024) - [i12]Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem, Zheying Zhang, Tomas Herda, Pekka Abrahamsson:
Prioritizing Software Requirements Using Large Language Models. CoRR abs/2405.01564 (2024) - [i11]Malik Abdul Sami, Muhammad Waseem, Zeeshan Rasheed, Mika Saari, Kari Systä, Pekka Abrahamsson:
Experimenting with Multi-Agent Software Development: Towards a Unified Platform. CoRR abs/2406.05381 (2024) - [i10]Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem, Zheying Zhang, Tomas Herda, Pekka Abrahamsson:
A Tool for Test Case Scenarios Generation Using Large Language Models. CoRR abs/2406.07021 (2024) - [i9]Malik Abdul Sami, Muhammad Waseem, Zheying Zhang, Zeeshan Rasheed, Kari Systä, Pekka Abrahamsson:
AI based Multiagent Approach for Requirements Elicitation and Analysis. CoRR abs/2409.00038 (2024) - [i8]Chris Stanford, Suman Adari, Xishun Liao, Brian Yueshuai He, Qinhua Jiang, Chenchen Kuai, Jiaqi Ma, Emmanuel Tung, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Khurram Shafique:
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks. CoRR abs/2409.03024 (2024) - [i7]Minxuan Duan, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Rose Yu, Khurram Shafique:
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework. CoRR abs/2410.01011 (2024) - [i6]Emmanuel Tung, Ali Mostafavi, Maoxu Li, Sophie Li, Zeeshan Rasheed, Khurram Shafique:
A System for Critical Facility and Resource Optimization in Disaster Management and Planning. CoRR abs/2410.02956 (2024) - 2023
- [c26]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique:
The Geospatial Generalization Problem: When Mobility Isn't Mobile. SIGSPATIAL/GIS 2023: 47:1-47:4 - [i5]Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc, Kari Systä, Pekka Abrahamsson:
Autonomous Agents in Software Development: A Vision Paper. CoRR abs/2311.18440 (2023) - 2022
- [c25]Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han:
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. ESEM 2022: 216-226 - [c24]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique:
Learning citywide patterns of life from trajectory monitoring. SIGSPATIAL/GIS 2022: 43:1-43:12 - [c23]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique, Nuno Vasconcelos:
Meta-learning over time for destination prediction tasks. SIGSPATIAL/GIS 2022: 45:1-45:10 - [i4]Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han:
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. CoRR abs/2206.14764 (2022) - [i3]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique, Nuno Vasconcelos:
Meta-Learning over Time for Destination Prediction Tasks. CoRR abs/2206.14801 (2022) - [i2]Mark Tenzer, Zeeshan Rasheed, Khurram Shafique:
Learning Citywide Patterns of Life from Trajectory Monitoring. CoRR abs/2206.15352 (2022) - 2021
- [j5]Tianrou Xia, Yuanyi Sun, Sencun Zhu, Zeeshan Rasheed, Khurram Shafique:
Toward A Network-Assisted Approach for Effective Ransomware Detection. EAI Endorsed Trans. Security Safety 7(24): e3 (2021) - [c22]Yuxiang Zhao, Khurram Shafique, Zeeshan Rasheed, Maoxu Li:
JanusNet: Detection of Moving Objects from UAV Platforms. ICCVW 2021: 3892-3901 - [c21]Jonathan Amazon, Khurram Shafique, Zeeshan Rasheed, Aaron Reite:
DIVINIA: Rare Object Localization and Search in Overhead Imagery. ICDM 2021: 988-993 - [c20]Tianyang Hua, Jianxiong Wan, Shan Jaffry, Zeeshan Rasheed, Leixiao Li, Zhiqiang Ma:
Comparison of Deep Reinforcement Learning Algorithms in Data Center Cooling Management: A Case Study. SMC 2021: 392-397 - 2020
- [c19]Zeeshan Rasheed, Wei Xiong, Gaoxiang Cong, Hongxun Niu, Jianxiong Wan, Yongsheng Wang, Lixiao Li:
Performance Evaluation and Machine Learning based Thermal Modeling of Tilted Active Tiles in Data Centers. ICMLT 2020: 32-38 - [i1]Tianrou Xia, Yuanyi Sun, Sencun Zhu, Zeeshan Rasheed, Khurram Hassan-Shafique:
A Network-Assisted Approach for Ransomware Detection. CoRR abs/2008.12428 (2020)
2010 – 2019
- 2014
- [c18]Donald Madden, Tae Eun Choe, Hongli Deng, Kiran Gunda, Himaanshu Gupta, N. Ramanathan, Zeeshan Rasheed, E. Shayne, Asaad Hakeem:
Mobile ISR: Intelligent ISR management and exploitation for the expeditionary warfighter. AIPR 2014: 1-11 - 2012
- [c17]Hongli Deng, Kiran Gunda, Zeeshan Rasheed, Niels Haering:
Retrieving large-scale high density video target tracks from spatial database. COM.Geo 2012: 19 - [p1]Asaad Hakeem, Himaanshu Gupta, Atul Kanaujia, Tae Eun Choe, Kiran Gunda, Andrew W. Scanlon, Li Yu, Zhong Zhang, Péter L. Venetianer, Zeeshan Rasheed, Niels Haering:
Video Analytics for Business Intelligence. Video Analytics for Business Intelligence 2012: 309-354 - 2011
- [c16]Tae Eun Choe, Zeeshan Rasheed, Geoffrey Taylor, Niels Haering:
Globally optimal target tracking in real time using max-flow network. ICCV Workshops 2011: 1855-1862 - [c15]Geoffrey Taylor, Ping Wang, Zeeshan Rasheed, Niels Haering:
Rapid discriminative detection for smart camera applications. ICDSC 2011: 1-6 - 2010
- [j4]Xiaochun Cao, Lin Wu, Zeeshan Rasheed, Haiying Liu, Tae Eun Choe, Feng Guo, Niels Haering:
Automatic Geo-Registration for Port Surveillance. Int. J. Pattern Recognit. Artif. Intell. 24(4): 531-555 (2010) - [c14]Hongli Deng, Mun Wai Lee, Asaad Hakeem, Omar Javed, Weihong Yin, Li Yu, Andrew W. Scanlon, Zeeshan Rasheed, Niels Haering:
Fast forensic video event retrieval using geospatial computing. COM.Geo 2010 - [c13]Zeeshan Rasheed, Geoffrey Taylor, Li Yu, Mun Wai Lee, TeaEun Choe, Feng Guo, Asaad Hakeem, Krishnan Ramnath, M. Smith, Atul Kanaujia, D. Eubanks, Niels Haering:
Rapidly Deployable Video Analysis Sensor units for wide area surveillance. CVPR Workshops 2010: 41-48
2000 – 2009
- 2008
- [j3]Omar Javed, Khurram Shafique, Zeeshan Rasheed, Mubarak Shah:
Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views. Comput. Vis. Image Underst. 109(2): 146-162 (2008) - [c12]Zeeshan Rasheed, Xiaochun Cao, Khurram Shafique, Haiying Liu, Li Yu, Mun Wai Lee, Krishnan Ramnath, Tae Eun Choe, Omar Javed, Niels Haering:
Automated visual analysis in large scale sensor networks. ICDSC 2008: 1-10 - [c11]Xiaochun Cao, Zeeshan Rasheed, Haiying Liu, Niels Haering:
Automatic geo-registration of maritime video feeds. ICPR 2008: 1-4 - 2005
- [j2]Zeeshan Rasheed, Yaser Sheikh, Mubarak Shah:
On the use of computable features for film classification. IEEE Trans. Circuits Syst. Video Technol. 15(1): 52-64 (2005) - [j1]Zeeshan Rasheed, Mubarak Shah:
Detection and representation of scenes in videos. IEEE Trans. Multim. 7(6): 1097-1105 (2005) - 2004
- [c10]Yun Zhai, Zeeshan Rasheed, Mubarak Shah:
A Framework for Semantic Classification of Scenes Using Finite State Machines. CIVR 2004: 279-288 - [c9]Yun Zhai, Zeeshan Rasheed, Mubarak Shah:
Conversation Detection in Feature Films Using Finite State Machines. ICPR (4) 2004: 458-461 - 2003
- [c8]Zeeshan Rasheed, Mubarak Shah:
Scene Detection In Hollywood Movies and TV Shows. CVPR (2) 2003: 343-350 - [c7]Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mubarak Shah:
Tracking Across Multiple Cameras With Disjoint Views. ICCV 2003: 952-957 - [c6]Omar Javed, Zeeshan Rasheed, Orkun Alatas, Mubarak Shah:
KNIGHT™: a real time surveillance system for multiple and non-overlapping cameras. ICME 2003: 649-652 - [c5]Yun Zhai, Zeeshan Rasheed, Mubarak Shah:
University of Central Florida at TRECVID 2003. TRECVID 2003 - 2002
- [c4]Zeeshan Rasheed, Mubarak Shah:
Movie Genre Classification By Exploiting Audio-Visual Features Of Previews. ICPR (2) 2002: 1086-1089 - 2001
- [c3]Sohaib Khan, Omar Javed, Zeeshan Rasheed, Mubarak Shah:
Human Tracking in Multiple Cameras. ICCV 2001: 331-336 - [c2]Omar Javed, Zeeshan Rasheed, Mubarak Shah:
A Framework for Segmentation of Talk and Game Shows. ICCV 2001: 532-537 - 2000
- [c1]Omar Javed, Sohaib Khan, Zeeshan Rasheed, Mubarak Shah:
Camera Handoff: Tracking in Multiple Uncalibrated Stationary Cameras. Workshop on Human Motion 2000: 113-
Coauthor Index
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