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- Hemank Lamba
Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
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Publication search results
found 48 matches
- 2023
- Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes:
Counterfactual Editing for Search Result Explanation. CoRR abs/2301.10389 (2023) - 2022
- Hongbo Fang, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu:
"This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors. ICSE 2022: 2116-2129 - Omkar Gurjar, Tanmay Bansal, Hitkul Jangra, Hemank Lamba, Ponnurangam Kumaraguru:
Effect of Popularity Shocks on User Behaviour. ICWSM 2022: 253-263 - Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer:
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. ICWSM 2022: 675-686 - Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer:
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. CoRR abs/2201.13064 (2022) - Tanvi Karandikar, Avinash Prabhu, Mehul Mathur, Megha Arora, Hemank Lamba, Ponnurangam Kumaraguru:
Co-WIN: Really Winning? Analysing Inequity in India's Vaccination Response. CoRR abs/2202.04433 (2022) - 2021
- Kit T. Rodolfa
, Hemank Lamba, Rayid Ghani
:
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. Nat. Mach. Intell. 3(10): 896-904 (2021) - Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. SIGKDD Explor. 23(1): 69-85 (2021) - Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. CoRR abs/2105.06442 (2021) - 2020
- Hemank Lamba:
Modeling User Behavior on Socio-Technical Systems: Patterns and Anomalies. Carnegie Mellon University, USA, 2020 - Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. ICDM 2020: 621-630 - Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Singh Juneja, Ponnurangam Kumaraguru:
Driving the Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. ICWSM 2020: 393-404 - Hongbo Fang, Daniel Klug, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu:
Need for Tweet: How Open Source Developers Talk About Their GitHub Work on Twitter. MSR 2020: 322-326 - Hemank Lamba, Asher Trockman, Daniel Armanios
, Christian Kästner, Heather Miller, Bogdan Vasilescu:
Heard it through the Gitvine: an empirical study of tool diffusion across the npm ecosystem. ESEC/SIGSOFT FSE 2020: 505-517 - Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR abs/2010.14374 (2020) - Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? CoRR abs/2012.02972 (2020) - 2019
- Te-En Wei, Hahn-Ming Lee, Albert B. Jeng, Hemank Lamba, Christos Faloutsos:
WebHound: a data-driven intrusion detection from real-world web access logs. Soft Comput. 23(22): 11947-11965 (2019) - Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru:
Characterizing and detecting livestreaming chatbots. ASONAM 2019: 683-690 - Hemank Lamba, Neil Shah:
Modeling Dwell Time Engagement on Visual Multimedia. KDD 2019: 1104-1113 - Hemank Lamba, Leman Akoglu:
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. SDM 2019: 612-620 - Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru:
Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. CoRR abs/1912.04579 (2019) - 2018
- Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik:
Modeling Topical Information Diffusion over Microblog Networks. COMPLEX NETWORKS (1) 2018: 353-364 - Emaad A. Manzoor, Hemank Lamba, Leman Akoglu:
xStream: Outlier Detection in Feature-Evolving Data Streams. KDD 2018: 1963-1972 - Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru:
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies. WWW (Companion Volume) 2018: 1341-1345 - 2017
- Hemank Lamba, Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan, Jürgen Pfeffer:
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software. IWSPA@CODASPY 2017: 17-22 - Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
The Many Faces of Link Fraud. ICDM 2017: 1069-1074 - Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru:
From Camera to Deathbed: Understanding Dangerous Selfies on Social Media. ICWSM 2017: 576-579 - Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer:
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) 2017: 68-84 - Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Item Recommendation with Evolving User Preferences and Experience. CoRR abs/1705.02519 (2017)
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