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Sameena Shah
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2020 – today
- 2022
- [j4]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [i12]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i11]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - 2021
- [c32]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. EMNLP (1) 2021: 3697-3711 - [c31]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS Conference 2021 - [c30]Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah:
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS 2021: 30211-30227 - [i10]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. CoRR abs/2109.00122 (2021) - [i9]Mahmoud Mahfouz, Armineh Nourbakhsh, Sameena Shah:
A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling. CoRR abs/2109.09103 (2021) - [i8]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - [i7]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR abs/2111.06016 (2021) - 2020
- [c29]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF 2020: 3:1-3:8 - [e1]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i6]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - [i5]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR abs/2011.01826 (2020) - [i4]Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer:
Debiasing classifiers: is reality at variance with expectation? CoRR abs/2011.02407 (2020)
2010 – 2019
- 2018
- [c28]Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis:
TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media. AAAI 2018: 7825-7830 - [c27]Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner:
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD 2018: 626-635 - 2017
- [c26]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey:
Reuters tracer: Toward automated news production using large scale social media data. IEEE BigData 2017: 1483-1493 - [c25]Quanzhi Li, Sameena Shah:
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits. CoNLL 2017: 301-310 - [c24]Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu:
Real-Time Novel Event Detection from Social Media. ICDE 2017: 1129-1139 - [c23]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh:
Data Sets: Word Embeddings Learned from Tweets and General Data. ICWSM 2017: 428-436 - [c22]Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang, Sameena Shah:
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts. SemEval@ACL 2017: 741-746 - [c21]Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Rui Fang, Xiaomo Liu:
funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter. SemEval@ACL 2017: 852-856 - [i3]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh:
Data Sets: Word Embeddings Learned from Tweets and General Data. CoRR abs/1708.03994 (2017) - [i2]Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu, Sameena Shah:
"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters. CoRR abs/1709.02510 (2017) - [i1]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey:
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data. CoRR abs/1711.04068 (2017) - 2016
- [c20]Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c19]Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li:
Witness Identification in Twitter. SocialNLP@EMNLP 2016: 65-73 - [c18]Quanzhi Li, Sameena Shah, Rui Fang:
Table classification using both structure and content information: A case study of financial documents. IEEE BigData 2016: 1778-1783 - [c17]Quanzhi Li, Sameena Shah, Mohammad Mahdi Ghassemi, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches. IEEE BigData 2016: 4014-4016 - [c16]Xiaomo Liu, Quanzhi Li, Armineh Nourbakhsh, Rui Fang, Merine Thomas, Kajsa Anderson, Russ Kociuba, Mark Vedder, Steven Pomerville, Ramdev Wudali, Robert Martin, John Duprey, Arun Vachher, William Keenan, Sameena Shah:
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter. CIKM 2016: 207-216 - [c15]Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang:
Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank. CIKM 2016: 2085-2088 - [c14]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding. CIKM 2016: 2429-2432 - [c13]Amit Shavit, Sameena Shah:
Perceived, Projected, and True Investment Expertise: Not All Experts Provide Expert Recommendations. DSAA 2016: 361-369 - [c12]Quanzhi Li, Xiaomo Liu, Rui Fang, Armineh Nourbakhsh, Sameena Shah:
User Behaviors in Newsworthy Rumors: A Case Study of Twitter. ICWSM 2016: 627-630 - [c11]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
Tweet Topic Classification Using Distributed Language Representations. WI 2016: 81-88 - [c10]Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features. WI 2016: 568-571 - 2015
- [c9]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, Sameena Shah:
Real-time Rumor Debunking on Twitter. CIKM 2015: 1867-1870 - [c8]Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Mahdi Ghassemi, Quanzhi Li:
Newsworthy Rumor Events: A Case Study of Twitter. ICDM Workshops 2015: 27-32 - 2014
- [c7]Wenhui Liao, Sameena Shah, Masoud Makrehchi:
Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media. SBP 2014: 103-110 - 2013
- [j3]Sameena Shah, Ravi Kothari:
Convergence of the dynamic load balancing problem to Nash equilibrium using distributed local interactions. Inf. Sci. 221: 297-305 (2013) - [j2]Jayadeva, Sameena Shah, Amit Bhaya
, Ravi Kothari, Suresh Chandra:
Ants find the shortest path: a mathematical proof. Swarm Intell. 7(1): 43-62 (2013) - [c6]Masoud Makrehchi, Sameena Shah, Wenhui Liao:
Stock Prediction Using Event-Based Sentiment Analysis. Web Intelligence 2013: 337-342 - 2011
- [c5]Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra:
Debugging ants: How ants find the shortest route. ICICS 2011: 1-5 - [c4]Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra:
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI 2011 - 2010
- [j1]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Trail formation in ants. A generalized Polya urn process. Swarm Intell. 4(2): 145-171 (2010)
2000 – 2009
- 2009
- [c3]Jayadeva, Sameena Shah, Suresh Chandra:
Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI 2009: 32-37 - [c2]Jayadeva, Sameena Shah, Suresh Chandra:
Zero Norm Least Squares Proximal SVR. PReMI 2009: 38-43 - 2008
- [c1]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI 2008: 170-175
Coauthor Index

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last updated on 2022-05-22 01:03 CEST by the dblp team
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