Calculation of an aggregated level of interest function for recorded events. - Rahul Nair (ACM Multimedia, 2004)

MMM2: mobile media metadata for media sharing. - Marc Davis; John F. Canny; Nancy A. Van House; Nathan Good; Simon King 004; Rahul Nair; Carrie Burgener; Bruce Rinehart; Rachel M. Strickland; Guy Campbell; Scott Fisher; Nick Reid (ACM Multimedia, 2005)

Photo LOI: browsing multi-user photo collections. - Rahul Nair; Nick Reid; Marc Davis (ACM Multimedia, 2005)

Over-exposed?: privacy patterns and considerations in online and mobile photo sharing. - Shane Ahern; Dean Eckles; Nathaniel Good; Simon King 004; Mor Naaman; Rahul Nair (CHI, 2007)

World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. - Shane Ahern; Mor Naaman; Rahul Nair; Jeannie Hui-I Yang (JCDL, 2007)

Zurfer: mobile multimedia access in spatial, social and topical context. - Amy Hwang; Shane Ahern; Simon King 004; Mor Naaman; Rahul Nair; Jeannie Hui-I Yang (ACM Multimedia, 2007)

How flickr helps us make sense of the world: context and content in community-contributed media collections. - Lyndon S. Kennedy; Mor Naaman; Shane Ahern; Rahul Nair; Tye Rattenbury (ACM Multimedia, 2007)

Summarization of online image collections via implicit feedback. - Shane Ahern; Simon King 004; Mor Naaman; Rahul Nair (WWW, 2007)

Photos on the go: a mobile application case study. - Mor Naaman; Rahul Nair; Vlad Kaplun (CHI, 2008)

ZoneTag's Collaborative Tag Suggestions: What is This Person Doing in My Phone?. - Mor Naaman; Rahul Nair (IEEE Multim., 2008)

A Geographic Information System-Based Real-Time Decision Support Framework for Routing Vehicles Carrying Hazardous Materials. - Minseok Kim; Elise Miller-Hooks; Rahul Nair (J. Intell. Transp. Syst., 2011)

Fleet Management for Vehicle Sharing Operations. - Rahul Nair; Elise Miller-Hooks (Transp. Sci., 2011)

High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates. - Rahul Nair; Frank Lenzen; Stephan Meister; Henrik Schäfer; Christoph S. Garbe; Daniel Kondermann (ECCV Workshops (2), 2012)

Missed connections: quantifying and optimizing multi-modal interconnectivity in cities. - Cathal Coffey; Rahul Nair; Fabio Pinelli; Alexei Pozdnoukhov; Francesco Calabrese (CTS@SIGSPATIAL, 2012)

Learning to count with regression forest and structured labels. - Luca Fiaschi; Ullrich Köthe; Rahul Nair; Fred A. Hamprecht (ICPR, 2012)

Ensemble Learning for Confidence Measures in Stereo Vision. - Ralf Haeusler; Rahul Nair; Daniel Kondermann (CVPR, 2013)

A State of the Art Report on Kinect Sensor Setups in Computer Vision. - Kai Berger; Stephan Meister; Rahul Nair; Daniel Kondermann (Time-of-Flight and Depth Imaging, 2013)

Technical Foundation and Calibration Methods for Time-of-Flight Cameras. - Damien Lefloch; Rahul Nair; Frank Lenzen; Henrik Schäfer; Lee V. Streeter; Michael J. Cree; Reinhard Koch; Andreas Kolb 001 (Time-of-Flight and Depth Imaging, 2013)

Denoising Strategies for Time-of-Flight Data. - Frank Lenzen; Kwang In Kim; Henrik Schäfer; Rahul Nair; Stephan Meister; Florian Becker; Christoph S. Garbe; Christian Theobalt (Time-of-Flight and Depth Imaging, 2013)

Ground Truth for Evaluating Time of Flight Imaging. - Rahul Nair; Stephan Meister; Martin Lambers; Michael Balda; Hannes G. Hofmann; Andreas Kolb 001; Daniel Kondermann; Bernd Jähne (Time-of-Flight and Depth Imaging, 2013)

A Survey on Time-of-Flight Stereo Fusion. - Rahul Nair; Kai Ruhl; Frank Lenzen; Stephan Meister; Henrik Schäfer; Christoph S. Garbe; Martin Eisemann; Marcus A. Magnor; Daniel Kondermann (Time-of-Flight and Depth Imaging, 2013)

AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data. - Michele Berlingerio; Francesco Calabrese; Giusy Di Lorenzo; Rahul Nair; Fabio Pinelli; Marco Luca Sbodio (ECML/PKDD (3), 2013)

On-set depth capturing for VFX productions using time of flight. - Simon Spielmann; Volker Helzle; Rahul Nair (SIGGRAPH Talks, 2013)

Simulation of Time-of-Flight Sensors using Global Illumination. - Stephan Meister; Rahul Nair; Daniel Kondermann (VMV, 2013)

Stereo Ground Truth with Error Bars. - Daniel Kondermann; Rahul Nair; Stephan Meister; Wolfgang Mischler; Burkhard Güssefeld; Katrin Honauer; Sabine Hofmann; Claus Brenner; Bernd Jähne (ACCV (5), 2014)

Time of flight motion compensation revisited. - Jens-Malte Gottfried; Rahul Nair; Stephan Meister; Christoph S. Garbe; Daniel Kondermann (ICIP, 2014)

Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio. - Freddy Lécué; Robert Tucker; Simone Tallevi-Diotallevi; Rahul Nair; Yiannis Gkoufas; Giuseppe Liguori; Mauro Borioni; Alexandre Rademaker; Luciano Barbosa (ISWC (2), 2014)

Equilibrium network design of shared-vehicle systems. - Rahul Nair; Elise Miller-Hooks (Eur. J. Oper. Res., 2014)

Reflection Modeling for Passive Stereo. - Rahul Nair; Andrew W. Fitzgibbon; Daniel Kondermann; Carsten Rother (ICCV, 2015)

Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras. - Mojmir Mutny; Rahul Nair; Jens-Malte Gottfried (CoRR, 2015)

Analysis and modeling pf passive stereo and time-of-flight imaging. - Rahul Nair (2015)

The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving. - Daniel Kondermann; Rahul Nair; Katrin Honauer; Karsten Krispin; Jonas Andrulis; Alexander Brock; Burkhard Güssefeld; Mohsen Rahimimoghaddam; Sabine Hofmann; Claus Brenner; Bernd Jähne (CVPR Workshops, 2016)

A Multi-Scale Approach to Data-Driven Mass Migration Analysis. - Mohammed N. Ahmed; Gianni Barlacchi; Stefano Braghin; Francesco Calabrese; Michele Ferretti; Vincent P. A. Lonij; Rahul Nair; Rana Novack; Jurij Paraszczak; Andeep S. Toor (SoGood@ECML-PKDD, 2016)

Equilibrium design of bicycle sharing systems: the case of Washington D.C. - Rahul Nair; Elise Miller-Hooks (EURO J. Transp. Logist., 2016)

Data-Driven Transit Network Design From Mobile Phone Trajectories. - Fabio Pinelli; Rahul Nair; Francesco Calabrese; Michele Berlingerio; Giusy Di Lorenzo; Marco Luca Sbodio (IEEE Trans. Intell. Transp. Syst., 2016)

AllAboard: Visual Exploration of Cellphone Mobility Data to Optimise Public Transport. - Giusy Di Lorenzo; Marco Luca Sbodio; Francesco Calabrese; Michele Berlingerio; Fabio Pinelli; Rahul Nair (IEEE Trans. Vis. Comput. Graph., 2016)

Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text. - Rahul Nair; Killian Levacher; Martin Stephenson (COLING (Demos), 2018)

Aim for the sky: Fostering a Constructionist Learning Environment for Teaching Maker Skills to Children in India. - Velayudhan Alekh; Vennila Vilvanathan; Rahul Nair; Vattigunta Susmitha; Anirudh Muraleedharan; Meltem Alkoyak-Yildiz; Nagarajan Akshay; Rao R. Bhavani (FabLearn Europe, 2018)

The Use of Presence Data in Modelling Demand for Transportation. - Jonathan Epperlein; Jaroslaw Legierski; Marcin Luckner; Jakub Marecek; Rahul Nair (CoRR, 2018)

Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems. - Luís Moreira-Matias; João Manuel Portela da Gama; Cristina Olaverri-Monreal; Rahul Nair; Roberto Trasarti (IEEE Trans. Intell. Transp. Syst., 2018)

RSM: An Explainable Predictive Sales Route Selector. - Bei Chen; Rahul Nair; Inge Vejsbjerg (ICDM Workshops, 2019)

Scenario-based XAI for Humanitarian Aid Forecasting. - Josh Andres; Christine T. Wolf; Sergio Cabrero Barros; Erick Oduor; Rahul Nair; Alexander Kjærum; Anders Bech Tharsgaard; Bo Schwartz Madsen (CHI Extended Abstracts, 2020)

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. - Sergiy Zhuk; Jonathan P. Epperlein; Rahul Nair; Seshu Tirupathi; Pól Mac Aonghusa; Donal O'Shea; Ronan A. Cahill (MICCAI (3), 2020)

A machine learning approach to scenario analysis and forecasting of mixed migration. - Rahul Nair; Bo Schwartz Madsen; Helena Lassen; Serge Baduk; Srividya Nagarajan; Lars Henrik Mogensen; Rana Novack; Rebecca Curzon; Jurij Paraszczak; Sanne Urbak (IBM J. Res. Dev., 2020)

User Driven Model Adjustment via Boolean Rule Explanations. - Elizabeth M. Daly; Massimiliano Mattetti; Öznur Alkan; Rahul Nair (AAAI, 2021)

What Changed? Interpretable Model Comparison. - Rahul Nair; Massimiliano Mattetti; Elizabeth Daly; Dennis Wei; Oznur Alkan; Yunfeng Zhang (IJCAI, 2021)

AIMEE: Interactive model maintenance with rule-based surrogates. - Owen Cornec; Rahul Nair; Elizabeth Daly; Oznur Alkan; Dennis Wei (NeurIPS (Competition and Demos), 2021)

Prospective Explanations: An Interactive Mechanism for Model Understanding. - Rahul Nair; Pierpaolo Tommasi (NeurIPS (Competition and Demos), 2021)

Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. - Jasmina Gajcin; Rahul Nair; Tejaswini Pedapati; Radu Marinescu 002; Elizabeth Daly; Ivana Dusparic (CoRR, 2021)

Robust transit line planning based on demand estimates obtained from mobile phones. - Chungmok Lee; Rahul Nair (EURO J. Transp. Logist., 2021)

A Systematic Review of Clinical Decision Support Systems in Alzheimer's Disease Domain. - Sherimon P. C.; Vinu Sherimon; Preethii S. P.; Rahul Nair; Renchi Mathew (Int. J. Online Biomed. Eng., 2021)

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. - Jochen Görtler; Fred Hohman; Dominik Moritz; Kanit Wongsuphasawat; Donghao Ren; Rahul Nair; Marc Kirchner; Kayur Patel (CHI, 2022)

FROTE: Feedback Rule-Driven Oversampling for Editing Models. - Oznur Alkan; Dennis Wei; Massimiliano Mattetti; Rahul Nair; Elizabeth Daly; Diptikalyan Saha (MLSys, 2022)

On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. - Dennis Wei; Rahul Nair; Amit Dhurandhar; Kush R. Varshney; Elizabeth Daly; Moninder Singh (NeurIPS, 2022)

Boolean Decision Rules for Reinforcement Learning Policy Summarisation. - James McCarthy; Rahul Nair; Elizabeth Daly; Radu Marinescu 002; Ivana Dusparic (CoRR, 2022)

Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. - Jasmina Gajcin; James McCarthy; Rahul Nair; Radu Marinescu 002; Elizabeth Daly; Ivana Dusparic (ECAI, 2023)

AutoDOViz: Human-Centered Automation for Decision Optimization. - 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 002; Paulito P. Palmes; et al. (IUI, 2023)

Cookie Consent Has Disparate Impact on Estimation Accuracy. - Erik Miehling; Rahul Nair; Elizabeth Daly; Karthikeyan Natesan Ramamurthy; Robert Redmond (NeurIPS, 2023)

Interpretable differencing of machine learning models. - Swagatam Haldar; Diptikalyan Saha; Dennis Wei; Rahul Nair; Elizabeth M. Daly (UAI, 2023)

Co-creating a globally interpretable model with human input. - Rahul Nair (CoRR, 2023)

Explaining Knock-on Effects of Bias Mitigation. - Svetoslav Nizhnichenkov; Rahul Nair; Elizabeth Daly; Brian Mac Namee (CoRR, 2023)

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. - 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; et al. (Artif. Intell. Rev., 2023)

An explainable forecasting system for humanitarian needs assessment. - Rahul Nair; Bo Schwartz Madsen; Alexander Kjærum (AI Mag., 2023)

Interactive Human-Centric Bias Mitigation. - Inge Vejsbjerg; Elizabeth M. Daly; Rahul Nair; Svetoslav Nizhnichenkov (AAAI, 2024)

Ranking Large Language Models without Ground Truth. - Amit Dhurandhar; Rahul Nair; Moninder Singh; Elizabeth Daly; Karthikeyan Natesan Ramamurthy (ACL (Findings), 2024)

On Efficient and Statistical Quality Estimation for Data Annotation. - Jan-Christoph Klie; Juan Haladjian; Marc Kirchner; Rahul Nair (ACL (1), 2024)

A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations. - Ajay Narayanan; Rahul Nair; Kedar Kulkarni (COMAD/CODS, 2024)

Poster: Challenges Faced by Popular Apps in Foldable Devices. - Rahul Nair; Raina Samuel (MobiSys, 2024)

Human-Centered Design Recommendations for LLM-as-a-Judge. - Qian Pan; Zahra Ashktorab; Michael Desmond; Martin Santillan Cooper; James M. Johnson; Rahul Nair; Elizabeth Daly; Werner Geyer (CoRR, 2024)

Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences. - Zahra Ashktorab; Michael Desmond; Qian Pan; James M. Johnson; Martin Santillan Cooper; Elizabeth M. Daly; Rahul Nair; Tejaswini Pedapati; Swapnaja Achintalwar; Werner Geyer (CoRR, 2024)

Black-box Uncertainty Quantification Method for LLM-as-a-Judge. - Nico Wagner; Michael Desmond; Rahul Nair; Zahra Ashktorab; Elizabeth M. Daly; Qian Pan; Martin Santillan Cooper; James M. Johnson; Werner Geyer (CoRR, 2024)

Making Bias Amplification in Balanced Datasets Directional and Interpretable. - Bhanu Tokas; Rahul Nair; Hannah Kerner (CoRR, 2024)

EvalAssist: LLM-as-a-Judge Simplified. - Michael Desmond; Zahra Ashktorab; Werner Geyer; Elizabeth M. Daly; Martín Santillán Cooper; Qian Pan; Rahul Nair; Nico Wagner; Tejaswini Pedapati (AAAI, 2025)

Humble AI in the real-world: the case of algorithmic hiring. - Rahul Nair; Inge Vejsbjerg; Elizabeth M. Daly; Christos Varytimidis; Bran Knowles (CHIWORK (Adjunct), 2025)

Classification Drives Geographic Bias in Street Scene Segmentation. - Rahul Nair; Bhanu Tokas; Gabriel Tseng; Esther Rolf; Hannah Kerner (CVPR Workshops, 2025)

Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring. - Buse Sibel Korkmaz; Rahul Nair; Elizabeth M. Daly; Evangelos Anagnostopoulos; Christos Varytimidis; Antonio del Rio-Chanona (CoRR, 2025)

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources. - Frank Bagehorn; Kristina Brimijoin; Elizabeth M. Daly; Jessica He; Michael Hind; Luis Garcés-Erice; Christopher Giblin; Ioana Giurgiu; Jacquelyn Martino; Rahul Nair; David Piorkowski; Ambrish Rawat; et al. (CoRR, 2025)

Measuring directional bias amplification in image captions using predictability. - Rahul Nair; Bhanu Tokas; Neel Shah; Hannah Kerner (CoRR, 2025)

Paying Alignment Tax with Contrastive Learning. - Buse Sibel Korkmaz; Rahul Nair; Elizabeth M. Daly; Antonio del Rio-Chanona (CoRR, 2025)