• 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 199 matches

• 2024
• 
  Amit Agarwal, Deorishabh Sahu, Rishabh Mohata, Kuldeep Jeengar, Anuj Nautiyal, Dhish Kumar Saxena:
  Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning. Expert Syst. Appl. 254: 124416 (2024)
• 
  Salonee Gupta, T. M. Navamani, Shreya Ghai, Rishab Gupta:
  Analysing accessibility in e-wallet apps for the elderly. Int. J. Bus. Inf. Syst. 46(3): 373-410 (2024)
• 
  Riya Agarwal, Shaifali Jindal, Shradha Narain, Rishabh Kaushal, Kalpana Yadav:
  A novel framework for fine-grained spatio-temporal change detection in satellite images. Multim. Tools Appl. 83(1): 1241-1260 (2024)
• 
  Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev:
  Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. 34(1): 1-58 (2024)
• 
  Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney:
  Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS 2024: 492-496
• 
  Eirik Årsand, Miroslav Muzny, Tina Rishaug, Ana M. Wägner, Carmelo Betancort, Conceição Granja, Cristina Soguero-Ruíz, Gunnar Hartvigsen, Mihai Namolosanu, Mikael Rinnetmäki, André Henriksen:
  Using One App Only - Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions. MIE 2024: 247-251
• 
  Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic:
  Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. NAACL-HLT 2024: 5533-5590
• 
  Rishabh Khandelwal, Asmit Nayak, Paul Chung, Kassem Fawaz:
  Unpacking Privacy Labels: A Measurement and Developer Perspective on Google's Data Safety Section. USENIX Security Symposium 2024
• 
  Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer:
  Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. WACV 2024: 2869-2877
• 
  Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
  Gradient Coreset for Federated Learning. WACV 2024: 2636-2645
• 
  Asmit Nayak, Rishabh Khandelwal, Earlence Fernandes, Kassem Fawaz:
  Experimental Security Analysis of Sensitive Data Access by Browser Extensions. WWW 2024: 1283-1294
• 
  Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
  Gradient Coreset for Federated Learning. CoRR abs/2401.06989 (2024)
• 
  K. S. Viswanadh, Akshit Gureja, Nagesh Walchatwar, Rishabh Agrawal, Shiven Sinha, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella, Prabhakar Bhimalapuram, Harikumar Kandath, Aftab M. Hussain:
  Engineering End-to-End Remote Labs using IoT-based Retrofitting. CoRR abs/2402.05466 (2024)
• 
  Nathan Beck, Truong Pham, Rishabh K. Iyer:
  Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection. CoRR abs/2402.13454 (2024)
• 
  Nathan Beck, Adithya Iyer, Rishabh K. Iyer:
  STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning. CoRR abs/2402.13468 (2024)
• 
  Saram Abbas, Dr Rishad Shafik, Prof Naeem Soomro, Prof Rakesh Heer, Dr Kabita Adhikari:
  From Algorithms to Outcomes: Reviewing AI's Role in Non-Muscle-Invasive Bladder Cancer Recurrence Prediction. CoRR abs/2403.10586 (2024)
• 
  Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
  Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR abs/2405.00433 (2024)
• 
  Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh:
  Digital Twin Generators for Disease Modeling. CoRR abs/2405.01488 (2024)
• 
  Muhammad Azeem Akbar, Matteo Esposito, Sami Hyrynsalmi, Karthikeyan Dinesh Kumar, Valentina Lenarduzzi, Xiaozhou Li, Ali Mehraj, Tommi Mikkonen, Sergio Moreschini, Niko Mäkitalo, Markku Oivo, Anna-Sofia Paavonen, Risha Parveen, Kari Smolander, Ruoyu Su, Kari Systä, Davide Taibi, Nan Yang, Zheying Zhang, Muhammad Zohaib:
  6GSoft: Software for Edge-to-Cloud Continuum. CoRR abs/2407.05963 (2024)
• 
  Rahul Kumar, Shubham Kakde, Divyansh Rajput, Daud Ibrahim, Rishabh Nahata, Pidathala Sowjanya, Deepak Kumar:
  Pretraining Data and Tokenizer for Indic LLM. CoRR abs/2407.12481 (2024)
• 
  Bobby Chen, Siyu Chen, Jason Dowlatabadi, Yu Xuan Hong, Vinayak Iyer, Uday Mantripragada, Rishabh Narang, Apoorv Pandey, Zijun Qin, Abrar Sheikh, Hongtao Sun, Jiaqi Sun, Matthew Walker, Kaichen Wei, Chen Xu, Jingnan Yang, Allen T. Zhang, Guoqing Zhang:
  Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning. CoRR abs/2407.19078 (2024)
• 
  Kartheik Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley:
  pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR abs/2408.01556 (2024)
• 
  Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
  Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. CoRR abs/2408.09125 (2024)
• 
  Subham Sah, Rishab Mitra, Arpit Narechania, Alex Endert, John T. Stasko, Wenwen Dou:
  Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models. CoRR abs/2408.13391 (2024)
• 
  Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria:
  Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse. CoRR abs/2409.11242 (2024)
• 
  Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De:
  Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. CoRR abs/2409.12255 (2024)
• 2023
• 
  Rishabh Singla, A. L. Narasimha Reddy, Riccardo Bettati, Hussein M. Alnuweiri:
  Toward a Multidimensional Analysis of the National Vulnerability Database. IEEE Access 11: 93354-93367 (2023)
• 
  Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
  State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42(2): 485-520 (2023)
• 
  Anurup Naskar, Rishav Pramanik, S. K. Sabbir Hossain, Seyedali Mirjalili, Ram Sarkar:
  Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data. Expert Syst. Appl. 221: 119745 (2023)
• 
  Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan:
  Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation. Frontiers Neuroinformatics 17 (2023)

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