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ORCIDHemank Lamba
Person information
- affiliation: Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- affiliation: IBM Research India, New Delhi, India
- affiliation: Indraprastha Institute of Information Technology, Delhi, India
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2020 – today
- 2024
[c35]Prerna Juneja
, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes:
Dissecting users' needs for search result explanations. CHI 2024: 841:1-841:17- [c34]Hemank Lamba, Anton Abilov, Ke Zhang, Elizabeth M. Olson, Henry Kudzanai Dambanemuya, João Bárcia, David Batista, Christina Wille, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes:
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid. EMNLP (Findings) 2024: 12705-12722 - [c33]Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes:
CFE2: Counterfactual Editing for Search Result Explanation. ICTIR 2024: 145-155 - [i12]Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes:
Dissecting users' needs for search result explanations. CoRR abs/2401.16509 (2024) - [i11]Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alex Jaimes:
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models. CoRR abs/2402.12276 (2024) - 2023
- [i10]Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes:
Counterfactual Editing for Search Result Explanation. CoRR abs/2301.10389 (2023) - 2022
- [c32]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 - [c31]Omkar Gurjar, Tanmay Bansal, Hitkul Jangra, Hemank Lamba, Ponnurangam Kumaraguru:
Effect of Popularity Shocks on User Behaviour. ICWSM 2022: 253-263 - [c30]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 - [i9]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) - [i8]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
- [j5]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) - [j4]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) - [i7]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
- [b1]Hemank Lamba:
Modeling User Behavior on Socio-Technical Systems: Patterns and Anomalies. Carnegie Mellon University, USA, 2020 - [c29]Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [i6]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) - [i5]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)
2010 – 2019
- 2019
- [j3]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) - [c24]Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru:
Characterizing and detecting livestreaming chatbots. ASONAM 2019: 683-690 - [c23]Hemank Lamba, Neil Shah:
Modeling Dwell Time Engagement on Visual Multimedia. KDD 2019: 1104-1113 - [c22]Hemank Lamba, Leman Akoglu:
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. SDM 2019: 612-620 - [i4]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
- [c21]Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik:
Modeling Topical Information Diffusion over Microblog Networks. COMPLEX NETWORKS (1) 2018: 353-364 - [c20]Emaad A. Manzoor, Hemank Lamba, Leman Akoglu:
xStream: Outlier Detection in Feature-Evolving Data Streams. KDD 2018: 1963-1972 - [c19]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
- [c18]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 - [c17]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
The Many Faces of Link Fraud. ICDM 2017: 1069-1074 - [c16]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 - [c15]Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer:
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) 2017: 68-84 - [i3]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. CoRR abs/1704.01420 (2017) - [i2]Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Item Recommendation with Evolving User Preferences and Experience. CoRR abs/1705.02519 (2017) - 2016
- [c14]Kuntal Dey, Saroj Kaushik, Hemank Lamba, Seema Nagar:
Man-O-Meter: Modeling and Assessing the Evolution of Language Usage of Individuals on Microblogs. APWeb (1) 2016: 342-355 - [c13]Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Javier Cámara, David Garlan, Jürgen Pfeffer:
A model-based approach to anomaly detection in software architectures. HotSoS 2016: 69-71 - [c12]Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales:
Incorporating Side Information in Tensor Completion. WWW (Companion Volume) 2016: 65-66 - [c11]Hemank Lamba, Jürgen Pfeffer:
Maximizing the Spread of Positive Influence by Deadline. WWW (Companion Volume) 2016: 67-68 - [i1]Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Ponnurangam Kumaraguru:
Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths. CoRR abs/1611.01911 (2016) - 2015
- [j2]Hemank Lamba, Ramasuri Narayanam:
A model-independent approach for efficient influence maximization in social networks. Soc. Netw. Anal. Min. 5(1): 14:1-14:11 (2015) - [c10]Hemank Lamba, Momin M. Malik, Jürgen Pfeffer:
A Tempest in a Teacup? Analyzing Firestorms on Twitter. ASONAM 2015: 17-24 - [c9]Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Jürgen Pfeffer, David Garlan:
Detecting insider threats in software systems using graph models of behavioral paths. HotSoS 2015: 20:1-20:2 - [c8]Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Experience-Aware Item Recommendation in Evolving Review Communities. ICDM 2015: 925-930 - 2014
- [j1]H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar:
SoLoMo analytics for telco Big Data monetization. IBM J. Res. Dev. 58(5/6) (2014) - [c7]Ramasuri Narayanam, Dinesh Garg, Hemank Lamba:
Discovering signature of social networks with application to community detection. COMSNETS 2014: 1-7 - [c6]Ramasuri Narayanam, Oskar Skibski, Hemank Lamba, Tomasz P. Michalak:
A Shapley Value-based Approach to Determine Gatekeepers in Social Networks with Applications. ECAI 2014: 651-656 - 2013
- [c5]Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru:
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing fake content on Twitter. eCrime 2013: 1-12 - [c4]Hemank Lamba, Ramasuri Narayanam:
A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks. WISE (2) 2013: 73-87 - [c3]Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, Anupam Joshi:
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy. WWW (Companion Volume) 2013: 729-736 - 2012
- [c2]Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh:
Incremental subclass discriminant analysis: A case study in face recognition. ICIP 2012: 593-596 - 2011
- [c1]Hemank Lamba, Ankit Sarkar, Mayank Vatsa, Richa Singh, Afzel Noore:
Face recognition for look-alikes: A preliminary study. IJCB 2011: 1-6
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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