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ORCIDSetareh Rafatirad
Setareh Rafatirah
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- affiliation: George Mason University
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2020 – today
- 2022
[j14]Abhijitt Dhavlle
, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Imitating Functional Operations for Mitigating Side-Channel Leakage. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 868-881 (2022)- [c67]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. DATE 2022: 508-513 - [c66]Wooyoung Chung, Xiyu Zhang, Zunaira Ahmad, Hossein Sayadi, Setareh Rafatirad:
Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education. EDUCON 2022: 1254-1263 - [c65]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c64]Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler David Sheaves, Soheil Salehi, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Survey of Machine Learning for Electronic Design Automation. ACM Great Lakes Symposium on VLSI 2022: 513-518 - 2021
- [j13]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j12]Han Wang, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j11]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j10]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [c63]Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. AICAS 2021: 1-4 - [c62]Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c61]Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan:
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. DAC 2021: 229-234 - [c60]Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad:
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC 2021: 967-972 - [c59]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. DATE 2021: 1172-1177 - [c58]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c57]Neha Nagarkar, Khaled N. Khasawneh, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. ACM Great Lakes Symposium on VLSI 2021: 195-200 - [c56]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. ICC 2021: 1-6 - [c55]Najmeh Nazari Bavarsad, Hosein Mohammadi Makrani, Hossein Sayadi, Lawrence Landis, Setareh Rafatirad, Houman Homayoun:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. ICCD 2021: 509-516 - [c54]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c53]Charan Bandi, Soheil Salehi, Rakibul Hassan, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. ICSC 2021: 211-214 - [c52]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. SoCC 2021: 101-105 - [i4]Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. CoRR abs/2110.00846 (2021) - 2020
- [j9]Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [c51]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c50]Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE 2020: 1414-1419 - [c49]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c48]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun:
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI 2020: 181-186 - [c47]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. ICCAD 2020: 36:1-36:9 - [c46]Han Wang, Hossein Sayadi, Gaurav Kolhe, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. ICCD 2020: 648-655 - [c45]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. ICMLA 2020: 604-611 - [c44]Han Wang, Hossein Sayadi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features. IOLTS 2020: 1-6 - [c43]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SATConda: SAT to SAT-Hard Clause Translator. ISQED 2020: 155-160 - [c42]Abhijitt Dhavlle, Raj Mehta, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. ISQED 2020: 161-166 - [c41]Maryam Heidari, Setareh Rafatirad:
Bidirectional Transformer based on online Text-based information to Implement Convolutional Neural Network Model For Secure Business Investment. ISTAS 2020: 322-329 - [c40]Hossein Sayadi, Han Wang, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Setareh Rafatirad, Houman Homayoun:
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. MWSCAS 2020: 949-952 - [c39]Maryam Heidari, Setareh Rafatirad:
Using Transfer Learning Approach to Implement Convolutional Neural Network model to Recommend Airline Tickets by Using Online Reviews. SMAP 2020: 1-6 - [c38]Maryam Heidari, Setareh Rafatirad:
Semantic Convolutional Neural Network model for Safe Business Investment by Using BERT. SNAMS 2020: 1-6 - [i3]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. CoRR abs/2003.09945 (2020)
2010 – 2019
- 2019
- [j8]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129: 110-124 (2019) - [c37]Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC 2019: 727-732 - [c36]Abhijitt Dhavlle, Sahil Bhat, Setareh Rafatirad, Houman Homayoun, Sai Manoj P. D.:
Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. CASES (work in progress) 2019: 1-2 - [c35]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SAT to SAT-Hard Clause Translator. CASES (work in progress) 2019: 1-2 - [c34]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) 2019: 1-2 - [c33]Sai Manoj Pudukotai Dinakarrao, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Adversarial Attack on Microarchitectural Events based Malware Detectors. DAC 2019: 164 - [c32]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c31]Sai Manoj Pudukotai Dinakarrao, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c30]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - [c29]Mahmoud Namazi, Hosein Mohammadi Makrani, Zhi Tian, Setareh Rafatirad, Mohamad Hosein Akbari, Avesta Sasan, Houman Homayoun:
Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching. ACM Great Lakes Symposium on VLSI 2019: 219-224 - [c28]Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad, Hamid Mahmoodi, Avesta Sasan, Houman Homayoun:
On Custom LUT-based Obfuscation. ACM Great Lakes Symposium on VLSI 2019: 477-482 - [c27]Gaurav Kolhe, Hadi Mardani Kamali, Miklesh Naicker, Tyler David Sheaves, Hamid Mahmoodi, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad, Avesta Sasan:
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. ICCAD 2019: 1-8 - [c26]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. ICDM 2019: 250-259 - [c25]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA 2019: 406-409 - [c24]Han Wang, Setareh Rafatirad, Houman Homayoun:
A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks. ICPADS 2019: 163-166 - [c23]Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP 2019: 7:1-7:11 - [c22]Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI 2019: 590-597 - [i2]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i1]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [j7]Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119: 1-17 (2018) - [j6]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Houman Homayoun:
Hadoop Workloads Characterization for Performance and Energy Efficiency Optimizations on Microservers. IEEE Trans. Multi Scale Comput. Syst. 4(3): 355-368 (2018) - [j5]Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hardware Accelerated Mappers for Hadoop MapReduce Streaming. IEEE Trans. Multi Scale Comput. Syst. 4(4): 734-748 (2018) - [j4]Ted Winograd, Gaurav Shenoy, Hassan Salmani, Hamid Mahmoodi, Setareh Rafatirad, Houman Homayoun:
Programmable Gates Using Hybrid CMOS-STT Design to Prevent IC Reverse Engineering. ACM Trans. Design Autom. Electr. Syst. 23(6): 76:1-76:21 (2018) - [j3]Abhimanyu Chopra, Hakan Aydin, Setareh Rafatirad, Houman Homayoun:
Optimal Allocation of Computation and Communication in an IoT Network. ACM Trans. Design Autom. Electr. Syst. 23(6): 78:1-78:22 (2018) - [j2]Maria Malik, Setareh Rafatirad, Houman Homayoun:
System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(3): 14:1-14:32 (2018) - [c21]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c20]Ferdinand Brasser, Lucas Davi, Abhijitt Dhavlle, Tommaso Frassetto, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Ahmad-Reza Sadeghi, Avesta Sasan, Hossein Sayadi, Shaza Zeitouni, Houman Homayoun:
Advances and throwbacks in hardware-assisted security: special session. CASES 2018: 15:1-15:10 - [c19]Hosein Mohammadi Makrani, Setareh Rafatirad, Amir Houmansadr, Houman Homayoun:
Main-Memory Requirements of Big Data Applications on Commodity Server Platform. CCGrid 2018: 653-660 - [c18]Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215 - [c17]Hosein Mohammadi Makrani, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, Houman Homayoun:
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. SoCC 2018: 517 - [c16]Hossein Sayadi, Nisarg Patel, Sai Manoj P. D., Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. DAC 2018: 1:1-1:6 - [c15]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM 2018: 221 - [c14]Sai Manoj P. D., Sairaj Amberkar, Setareh Rafatirad, Houman Homayoun:
Efficient utilization of adversarial training towards robust machine learners and its analysis. ICCAD 2018: 78 - [c13]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
A comprehensive memory analysis of data intensive workloads on server class architecture. MEMSYS 2018: 19-30 - [c12]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS 2018: 89-96 - [c11]Hossein Sayadi, Hosein Mohammadi Makrani, Onkar Randive, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. TrustCom/BigDataSE 2018: 1685-1688 - 2017
- [c10]Hosein Mohammadi Makrani, Shahab Tabatabaei, Setareh Rafatirad, Houman Homayoun:
Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications. IGSC 2017: 1-6 - 2016
- [c9]Katayoun Neshatpour, Arezou Koohi, Farnoud Farahmand, Rajiv V. Joshi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Big biomedical image processing hardware acceleration: A case study for K-means and image filtering. ISCAS 2016: 1134-1137 - [c8]Maria Malik, Avesta Sasan, Rajiv V. Joshi, Setareh Rafatirah, Houman Homayoun:
Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations. ISPASS 2016: 153-154 - 2015
- [c7]Maria Malik, Setareh Rafatirah, Avesta Sasan, Houman Homayoun:
System and architecture level characterization of big data applications on big and little core server architectures. IEEE BigData 2015: 85-94 - 2013
- [c6]Setareh Rafatirad, Ramesh C. Jain, Kathryn B. Laskey:
Context-Based Event Ontology Extension in Multimedia Applications. ICSC 2013: 278-285 - [c5]Setareh Rafatirad, Kathryn B. Laskey, Paulo Cesar G. da Costa:
Context Correlation Using Probabilistic Semantics. STIDS 2013: 2-9 - [c4]Setareh Rafatirad, Kathryn B. Laskey:
Transforming Personal Artifacts into Probabilistic Narratives. UAI Application Workshops 2013: 29-38 - 2011
- [j1]WeiQi Yan, Declan F. Kieran, Setareh Rafatirad, Ramesh C. Jain:
A comprehensive study of visual event computing. Multim. Tools Appl. 55(3): 443-481 (2011) - [c3]Setareh Rafatirad, Ramesh C. Jain:
Contextual Augmentation of Ontology for Recognizing Sub-events. ICSC 2011: 546-553
2000 – 2009
- 2009
- [c2]Setareh Rafatirad, Amarnath Gupta, Ramesh C. Jain:
Event composition operators: ECO. EIMM@MM 2009: 65-72 - [c1]Amarnath Gupta, Setareh Rafatirad, Mingyan Gao, Ramesh C. Jain:
MEDIALIFE: from images to a life chronicle. SIGMOD Conference 2009: 1119-1122
Coauthor Index
Sai Manoj Pudukotai Dinakarrao
aka: Sai Manoj P. D.
aka: Sai Manoj P. D.
[j14] [c67] [c65] [c64] [j13] [j12] [j11] [j10] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i4] [j9] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [i3] [j8] [c37] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c23] [i2] [i1] [j7] [j6] [j5] [j4] [j3] [j2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7]
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