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ORCIDRahul Nair
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- affiliation: Heidelberg University, Germany
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2020 – today
- 2024
[c50]Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov:
Interactive Human-Centric Bias Mitigation. AAAI 2024: 23838-23840- [c49]Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy:
Ranking Large Language Models without Ground Truth. ACL (Findings) 2024: 2431-2452 - [c48]Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair:
On Efficient and Statistical Quality Estimation for Data Annotation. ACL (1) 2024: 15680-15696 - [c47]Ajay Narayanan
, Rahul Nair, Kedar Kulkarni:
A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations. COMAD/CODS 2024: 523-527 - [c46]Rahul Nair, Raina Samuel:
Poster: Challenges Faced by Popular Apps in Foldable Devices. MobiSys 2024: 716-717 - [i18]Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy:
Ranking Large Language Models without Ground Truth. CoRR abs/2402.14860 (2024) - [i17]Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair:
On Efficient and Statistical Quality Estimation for Data Annotation. CoRR abs/2405.11919 (2024) - [i16]Qian Pan, Zahra Ashktorab, Michael Desmond, Martin Santillan Cooper, James M. Johnson, Rahul Nair, Elizabeth Daly, Werner Geyer:
Human-Centered Design Recommendations for LLM-as-a-Judge. CoRR abs/2407.03479 (2024) - [i15]Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Swapnaja Achintalwar, Werner Geyer:
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences. CoRR abs/2410.00873 (2024) - 2023
- [j13]Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum:
An explainable forecasting system for humanitarian needs assessment. AI Mag. 44(4): 354-362 (2023) - [j12]Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller:
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. 56(4): 3473-3504 (2023) - [c45]Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum:
An Explainable Forecasting System for Humanitarian Needs Assessment. AAAI 2023: 15569-15575 - [c44]Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic:
Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. ECAI 2023: 788-794 - [c43]Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn:
AutoDOViz: Human-Centered Automation for Decision Optimization. IUI 2023: 664-680 - [c42]Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond:
Cookie Consent Has Disparate Impact on Estimation Accuracy. NeurIPS 2023 - [c41]Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly:
Interpretable differencing of machine learning models. UAI 2023: 788-797 - [i14]Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn:
AutoDOViz: Human-Centered Automation for Decision Optimization. CoRR abs/2302.09688 (2023) - [i13]Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly:
Interpretable Differencing of Machine Learning Models. CoRR abs/2306.06473 (2023) - [i12]Rahul Nair:
Co-creating a globally interpretable model with human input. CoRR abs/2306.13381 (2023) - [i11]Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic:
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification. CoRR abs/2308.15969 (2023) - [i10]Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee:
Explaining Knock-on Effects of Bias Mitigation. CoRR abs/2312.00765 (2023) - 2022
- [c40]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CHI 2022: 408:1-408:13 - [c39]Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. MLSys 2022 - [c38]Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth Daly, Moninder Singh:
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. NeurIPS 2022 - [i9]Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. CoRR abs/2201.01070 (2022) - [i8]Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair:
User Driven Model Adjustment via Boolean Rule Explanations. CoRR abs/2203.15071 (2022) - [i7]James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic:
Boolean Decision Rules for Reinforcement Learning Policy Summarisation. CoRR abs/2207.08651 (2022) - [i6]Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh:
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. CoRR abs/2211.01498 (2022) - 2021
- [j11]Chungmok Lee, Rahul Nair:
Robust transit line planning based on demand estimates obtained from mobile phones. EURO J. Transp. Logist. 10: 100034 (2021) - [j10]Sherimon P. C., Vinu Sherimon, Preethii S. P., Rahul Nair, Renchi Mathew:
A Systematic Review of Clinical Decision Support Systems in Alzheimer's Disease Domain. Int. J. Online Biomed. Eng. 17(8): 74 (2021) - [c37]Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair:
User Driven Model Adjustment via Boolean Rule Explanations. AAAI 2021: 5896-5904 - [c36]Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang:
What Changed? Interpretable Model Comparison. IJCAI 2021: 2855-2861 - [c35]Rahul Nair, Pierpaolo Tommasi:
Prospective Explanations: An Interactive Mechanism for Model Understanding. NeurIPS (Competition and Demos) 2021: 273-277 - [c34]Owen Cornec, Rahul Nair, Elizabeth Daly, Oznur Alkan, Dennis Wei:
AIMEE: Interactive model maintenance with rule-based surrogates. NeurIPS (Competition and Demos) 2021: 288-291 - [i5]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CoRR abs/2110.12536 (2021) - [i4]Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic:
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. CoRR abs/2112.09462 (2021) - 2020
- [j9]Rahul Nair, Bo Schwartz Madsen, Helena Lassen, Serge Baduk, Srividya Nagarajan, Lars Henrik Mogensen, Rana Novack, Rebecca Curzon, Jurij Paraszczak, Sanne Urbak:
A machine learning approach to scenario analysis and forecasting of mixed migration. IBM J. Res. Dev. 64(1/2): 7:1-7:7 (2020) - [c33]Josh Andres, Christine T. Wolf, Sergio Cabrero Barros, Erick Oduor, Rahul Nair, Alexander Kjærum, Anders Bech Tharsgaard, Bo Schwartz Madsen:
Scenario-based XAI for Humanitarian Aid Forecasting. CHI Extended Abstracts 2020: 1-8 - [c32]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. MICCAI (3) 2020: 711-721 - [i3]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pol Mac Aonghusa, Ronan A. Cahill, Donal O'Shea:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. CoRR abs/2006.14321 (2020)
2010 – 2019
- 2019
- [c31]Bei Chen, Rahul Nair, Inge Vejsbjerg:
RSM: An Explainable Predictive Sales Route Selector. ICDM Workshops 2019: 1090-1093 - 2018
- [j8]Luís Moreira-Matias, João Manuel Portela da Gama, Cristina Olaverri-Monreal, Rahul Nair, Roberto Trasarti:
Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 19(11): 3626-3629 (2018) - [c30]Rahul Nair, Killian Levacher, Martin Stephenson:
Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text. COLING (Demos) 2018: 157-160 - [c29]Velayudhan Alekh, Vennila Vilvanathan, Rahul Nair, Vattigunta Susmitha, Anirudh Muraleedharan, Meltem Alkoyak-Yildiz, Nagarajan Akshay, Rao R. Bhavani:
Aim for the sky: Fostering a Constructionist Learning Environment for Teaching Maker Skills to Children in India. FabLearn Europe 2018: 87-94 - [i2]Jonathan Epperlein, Jaroslaw Legierski, Marcin Luckner, Jakub Marecek, Rahul Nair:
The Use of Presence Data in Modelling Demand for Transportation. CoRR abs/1802.03734 (2018) - 2016
- [j7]Rahul Nair, Elise Miller-Hooks:
Equilibrium design of bicycle sharing systems: the case of Washington D.C. EURO J. Transp. Logist. 5(3): 321-344 (2016) - [j6]Fabio Pinelli, Rahul Nair, Francesco Calabrese, Michele Berlingerio, Giusy Di Lorenzo, Marco Luca Sbodio:
Data-Driven Transit Network Design From Mobile Phone Trajectories. IEEE Trans. Intell. Transp. Syst. 17(6): 1724-1733 (2016) - [j5]Giusy Di Lorenzo, Marco Luca Sbodio, Francesco Calabrese, Michele Berlingerio, Fabio Pinelli, Rahul Nair:
AllAboard: Visual Exploration of Cellphone Mobility Data to Optimise Public Transport. IEEE Trans. Vis. Comput. Graph. 22(2): 1036-1050 (2016) - [c28]Daniel Kondermann, Rahul Nair, Katrin Honauer, Karsten Krispin, Jonas Andrulis, Alexander Brock, Burkhard Güssefeld, Mohsen Rahimimoghaddam, Sabine Hofmann, Claus Brenner, Bernd Jähne:
The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving. CVPR Workshops 2016: 19-28 - [c27]Mohammed N. Ahmed, Gianni Barlacchi, Stefano Braghin, Francesco Calabrese, Michele Ferretti, Vincent P. A. Lonij, Rahul Nair, Rana Novack, Jurij Paraszczak, Andeep S. Toor:
A Multi-Scale Approach to Data-Driven Mass Migration Analysis. SoGood@ECML-PKDD 2016 - 2015
- [b1]Rahul Nair:
Analysis and modeling pf passive stereo and time-of-flight imaging. Heidelberg University, Germany, 2015, pp. 1-176 - [c26]Rahul Nair, Andrew W. Fitzgibbon, Daniel Kondermann, Carsten Rother:
Reflection Modeling for Passive Stereo. ICCV 2015: 2291-2299 - [i1]Mojmir Mutny, Rahul Nair, Jens-Malte Gottfried:
Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras. CoRR abs/1512.04077 (2015) - 2014
- [j4]Rahul Nair, Elise Miller-Hooks:
Equilibrium network design of shared-vehicle systems. Eur. J. Oper. Res. 235(1): 47-61 (2014) - [c25]Daniel Kondermann, Rahul Nair, Stephan Meister, Wolfgang Mischler, Burkhard Güssefeld, Katrin Honauer, Sabine Hofmann, Claus Brenner, Bernd Jähne:
Stereo Ground Truth with Error Bars. ACCV (5) 2014: 595-610 - [c24]Jens-Malte Gottfried, Rahul Nair, Stephan Meister, Christoph S. Garbe, Daniel Kondermann:
Time of flight motion compensation revisited. ICIP 2014: 5861-5865 - [c23]Giusy Di Lorenzo, Marco Luca Sbodio, Francesco Calabrese, Michele Berlingerio, Rahul Nair, Fabio Pinelli:
AllAboard: visual exploration of cellphone mobility data to optimise public transport. IUI 2014: 335-340 - [c22]Freddy Lécué, Robert Tucker, Simone Tallevi-Diotallevi, Rahul Nair, Yiannis Gkoufas, Giuseppe Liguori, Mauro Borioni, Alexandre Rademaker, Luciano Barbosa:
Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio. ISWC (2) 2014: 292-307 - 2013
- [c21]Ralf Haeusler, Rahul Nair, Daniel Kondermann:
Ensemble Learning for Confidence Measures in Stereo Vision. CVPR 2013: 305-312 - [c20]Damien Lefloch, Rahul Nair, Frank Lenzen, Henrik Schäfer, Lee V. Streeter, Michael J. Cree, Reinhard Koch, Andreas Kolb:
Technical Foundation and Calibration Methods for Time-of-Flight Cameras. Time-of-Flight and Depth Imaging 2013: 3-24 - [c19]Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker, Christoph S. Garbe, Christian Theobalt:
Denoising Strategies for Time-of-Flight Data. Time-of-Flight and Depth Imaging 2013: 25-45 - [c18]Rahul Nair, Stephan Meister, Martin Lambers, Michael Balda, Hannes G. Hofmann, Andreas Kolb, Daniel Kondermann, Bernd Jähne:
Ground Truth for Evaluating Time of Flight Imaging. Time-of-Flight and Depth Imaging 2013: 52-74 - [c17]Rahul Nair, Kai Ruhl, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe, Martin Eisemann, Marcus A. Magnor, Daniel Kondermann:
A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging 2013: 105-127 - [c16]Kai Berger, Stephan Meister, Rahul Nair, Daniel Kondermann:
A State of the Art Report on Kinect Sensor Setups in Computer Vision. Time-of-Flight and Depth Imaging 2013: 257-272 - [c15]Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Rahul Nair, Fabio Pinelli, Marco Luca Sbodio:
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data. ECML/PKDD (3) 2013: 663-666 - [c14]Simon Spielmann, Volker Helzle, Rahul Nair:
On-set depth capturing for VFX productions using time of flight. SIGGRAPH Talks 2013: 13:1 - [c13]Stephan Meister, Rahul Nair, Daniel Kondermann:
Simulation of Time-of-Flight Sensors using Global Illumination. VMV 2013: 33-40 - 2012
- [c12]Rahul Nair, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe, Daniel Kondermann:
High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates. ECCV Workshops (2) 2012: 1-11 - [c11]Cathal Coffey, Rahul Nair, Fabio Pinelli, Alexei Pozdnoukhov, Francesco Calabrese:
Missed connections: quantifying and optimizing multi-modal interconnectivity in cities. CTS@SIGSPATIAL 2012: 26-32 - [c10]Luca Fiaschi, Ullrich Köthe, Rahul Nair, Fred A. Hamprecht:
Learning to count with regression forest and structured labels. ICPR 2012: 2685-2688 - 2011
- [j3]Minseok Kim, Elise Miller-Hooks, Rahul Nair:
A Geographic Information System-Based Real-Time Decision Support Framework for Routing Vehicles Carrying Hazardous Materials. J. Intell. Transp. Syst. 15(1): 28-41 (2011) - [j2]Rahul Nair, Elise Miller-Hooks:
Fleet Management for Vehicle Sharing Operations. Transp. Sci. 45(4): 524-540 (2011)
2000 – 2009
- 2008
- [j1]Mor Naaman, Rahul Nair:
ZoneTag's Collaborative Tag Suggestions: What is This Person Doing in My Phone?. IEEE Multim. 15(3): 34-40 (2008) - [c9]Mor Naaman, Rahul Nair, Vlad Kaplun:
Photos on the go: a mobile application case study. CHI 2008: 1739-1748 - 2007
- [c8]Shane Ahern, Dean Eckles, Nathaniel Good, Simon King, Mor Naaman, Rahul Nair:
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing. CHI 2007: 357-366 - [c7]Shane Ahern, Mor Naaman, Rahul Nair, Jeannie Hui-I Yang:
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. JCDL 2007: 1-10 - [c6]Amy Hwang, Shane Ahern, Simon King, Mor Naaman, Rahul Nair, Jeannie Hui-I Yang:
Zurfer: mobile multimedia access in spatial, social and topical context. ACM Multimedia 2007: 557-560 - [c5]Lyndon S. Kennedy, Mor Naaman, Shane Ahern, Rahul Nair, Tye Rattenbury:
How flickr helps us make sense of the world: context and content in community-contributed media collections. ACM Multimedia 2007: 631-640 - [c4]Shane Ahern, Simon King, Mor Naaman, Rahul Nair:
Summarization of online image collections via implicit feedback. WWW 2007: 1325-1326 - 2005
- [c3]Rahul Nair, Nick Reid, Marc Davis:
Photo LOI: browsing multi-user photo collections. ACM Multimedia 2005: 223-224 - [c2]Marc Davis, John F. Canny, Nancy A. Van House, Nathan Good, Simon King, Rahul Nair, Carrie Burgener, Bruce Rinehart, Rachel M. Strickland, Guy Campbell, Scott Fisher, Nick Reid:
MMM2: mobile media metadata for media sharing. ACM Multimedia 2005: 267-268 - 2004
- [c1]Rahul Nair:
Calculation of an aggregated level of interest function for recorded events. ACM Multimedia 2004: 272-275
Coauthor Index
Elizabeth Daly
aka: Elizabeth M. Daly
aka: Elizabeth M. Daly
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