• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 111 matches

• 2023
• 
  Munil Shiva Goundar, Bimal Aklesh Kumar, Sailesh Saras Chand, Ronil Chand:
  Mobile learning for preschoolers: a systematic literature review. Int. J. Mob. Learn. Organisation 17(1/2): 303-320 (2023)
• 
  Rafael Diaz, Sailesh Kolachana, Rodrigo Falcão Gomes:
  A simulation-based logistics assessment framework in global pharmaceutical supply chain networks. J. Oper. Res. Soc. 74(5): 1242-1260 (2023)
• 
  Shafi Ahmad, Dillidorai Arumugam, Srdan Bozovic, Elnata Degefa, Sailesh Duvvuri, Steven Gott, Nitish Gupta, Joachim Hammer, Nivedita Kaluskar, Raghav Kaushik, Rakesh Khanduja, Prasad Mujumdar, Gaurav Malhotra, Pankaj Naik, Nikolas Ogg, Krishna Kumar Parthasarthy, Raghu Ramakrishnan, Vlad Rodriguez, Rahul Sharma, Jakub Szymaszek, Andreas Wolter:
  Microsoft Purview: A System for Central Governance of Data. Proc. VLDB Endow. 16(12): 3624-3635 (2023)
• 
  Gustavo Alonso, Natassa Ailamaki, Sailesh Krishnamurthy, Sam Madden, Swami Sivasubramanian, Raghu Ramakrishnan:
  Future of Database System Architectures. SIGMOD Conference Companion 2023: 261-262
• 2022
• 
  Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
  The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022)
• 
  Gururaj Saileshwar, Rick Boivie, Tong Chen, Benjamin Segal, Alper Buyuktosunoglu:
  HeapCheck: Low-cost Hardware Support for Memory Safety. ACM Trans. Archit. Code Optim. 19(1): 10:1-10:24 (2022)
• 
  Rick Boivie, Gururaj Saileshwar, Tong Chen, Benjamin Segal, Alper Buyuktosunoglu:
  On the Scalability of HeapCheck. DSN (Supplements) 2022: 15-18
• 
  Vinay Kumar Nassa, V. L. Varun, Akkaraju Sailesh Chandra, Maddikera Kalyan Chakravarthi, Rajesh Singh, Devvret Verma:
  Evaluation of Block-chain Transaction Accuracy using Neural Network Model. IC3I 2022: 357-361
• 
  Rajesh Singh, Akkaraju Sailesh Chandra, Babeetta Bbhagat, Jeidy Panduro-Ramirez, Anil Pandurang Gaikwad, Bhasker Pant:
  Cloud Computing, Machine Learning, and Secure Data Sharing enabled through Blockchain. IC3I 2022: 282-286
• 
  Moinuddin K. Qureshi, Aditya Rohan, Gururaj Saileshwar, Prashant J. Nair:
  Hydra: enabling low-overhead mitigation of row-hammer at ultra-low thresholds via hybrid tracking. ISCA 2022: 699-710
• 
  Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze:
  A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. ML4H@NeurIPS 2022: 566-577
• 
  Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze:
  Casting the inverse problem as a database query. The case of personalized tumor growth modeling. CoRR abs/2205.04550 (2022)
• 2021
• 
  Ren Ding, Yonghae Kim, Fan Sang, Wen Xu, Gururaj Saileshwar, Taesoo Kim:
  Hardware Support to Improve Fuzzing Performance and Precision. CCS 2021: 2214-2228
• 
  Rick Boivie, Gururaj Saileshwar, Tong Chen, Benjamin Segal, Alper Buyuktosunoglu:
  Hardware Support for Low-Cost Memory Safety. DSN (Supplements) 2021: 57-60
• 2020
• 
  Tim Robbins, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva, Theodoros N. Arvanitis:
  Application of standardised effect sizes to hospital discharge outcomes for people with diabetes. BMC Medical Informatics Decis. Mak. 20(1): 150 (2020)
• 
  Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
  FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. NeuroImage 219: 117012 (2020)
• 
  Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M. B. Breteler, Martin Reuter:
  Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. Bildverarbeitung für die Medizin 2020: 74
• 
  Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
  Abstract: FastSurfer. Bildverarbeitung für die Medizin 2020: 208
• 
  Sailesh Abburu, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, Nenad Stojanovic:
  COGNITWIN - Hybrid and Cognitive Digital Twins for the Process Industry. ICE/ITMC 2020: 1-8
• 2019
• 
  Mohamed Arafa, Bahaa Fahim, Sailesh Kottapalli, Akhilesh Kumar, Lily Pao Looi, Sreenivas Mandava, Andy Rudoff, Ian M. Steiner, Bob Valentine, Geetha Vedaraman, Sujal Vora:
  Cascade Lake: Next Generation Intel Xeon Scalable Processor. IEEE Micro 39(2): 29-36 (2019)
• 
  Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
  Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195: 11-22 (2019)
• 
  Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative:
  QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186: 713-727 (2019)
• 
  Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
  The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019)
• 
  Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B. Breteler, Martin Reuter:
  FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. CoRR abs/1904.02082 (2019)
• 
  Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
  FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. CoRR abs/1910.03866 (2019)
• 2018
• 
  Saileshsingh Gunessee, Nachiappan Subramanian, Samuel Roscoe, Jothibasu Ramanathan:
  The social preferences of local citizens and spontaneous volunteerism during disaster relief operations. Int. J. Prod. Res. 56(21): 6793-6808 (2018)
• 
  Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab:
  Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin 2018: 35
• 
  Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
  Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin 2018: 42
• 
  Gururaj Saileshwar, Prashant J. Nair, Prakash Ramrakhyani, Wendy Elsasser, Moinuddin K. Qureshi:
  SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories. HPCA 2018: 454-465
• 
  Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet:
  Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. ISBI 2018: 578-581

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