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ORCIDWesley M. Gifford
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2020 – today
- 2024
[i5]Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam:
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR abs/2401.03955 (2024)- 2023
- [c22]Arindam Jati
, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami:
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD 2023: 891-900 - 2022
- [j8]Kyongmin Yeo, Zan Li, Wesley M. Gifford:
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical Systems. SIAM J. Sci. Comput. 44(4): 2150- (2022) - [j7]Wesley M. Gifford, Davide Dardari, Moe Z. Win:
The Impact of Multipath Information on Time-of-Arrival Estimation. IEEE Trans. Signal Process. 70: 31-46 (2022) - [c21]Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati:
Distributed Incremental Machine Learning for Big Time Series Data. IEEE Big Data 2022: 2356-2363 - [i4]Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami:
Hierarchy-guided Model Selection for Time Series Forecasting. CoRR abs/2211.15092 (2022) - 2021
- [c20]Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. SIGMOD Conference 2021: 2584-2596 - [i3]Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. CoRR abs/2102.12347 (2021) - [i2]Kyongmin Yeo, Zan Li, Wesley M. Gifford:
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System. CoRR abs/2111.03126 (2021) - 2020
- [c19]Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy:
Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph. IEEE BigData 2020: 1604-1613
2010 – 2019
- 2019
- [c18]Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam:
DQA: Scalable, Automated and Interactive Data Quality Advisor. IEEE BigData 2019: 2913-2922 - [c17]Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni:
Industry Specific Word Embedding and its Application in Log Classification. CIKM 2019: 2713-2721 - [c16]Shrey Shrivastava, Dhaval Patel, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam:
ThunderML: A Toolkit for Enabling AI/ML Models on Cloud for Industry 4.0. ICWS 2019: 163-180 - [c15]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou:
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM 2019: 55-63 - 2018
- [c14]Elham Khabiri, Wesley M. Gifford, Pietro Mazzoleni, Dharmesh Vadgama:
Thematic Distillation and Point of View Extraction for Enterprise-Level Documents. AAAI Workshops 2018: 65-70 - 2017
- [i1]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu:
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. CoRR abs/1702.06362 (2017) - 2016
- [c13]Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li:
End-to-End Solution with Clustering Method for Attrition Analysis. SCC 2016: 363-370 - [c12]Ying Li, Wesley M. Gifford, Anshul Sheopuri:
A Case Study of Mobile User Behaviors Using Spatio-temporal Data. MDM 2016: 298-301 - [c11]Rong Liu, Swapna Buccapatnam, Wesley M. Gifford, Anshul Sheopuri:
An Unsupervised Collaborative Approach to Identifying Home and Work Locations. MDM 2016: 310-317 - 2014
- [c10]Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda, Gregory H. Westerwick, Carl Engel:
On the Quantification of Global Team Performance and Profitability. IEEE SCC 2014: 378-385 - [c9]Wesley M. Gifford, Ashish Jagmohan, Yi-Min Chee, Anshul Sheopuri, John Ambrose, Sue Rodeman, Shota Aki:
Engaging Learners in an Enterprise L&K System. RecSys Posters 2014 - 2013
- [c8]Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda:
Toward a Flexible Bidding Strategy with Preference Analysis. IEEE SCC 2013: 619-626 - 2012
- [j6]Henk Wymeersch, Stefano Maranò, Wesley M. Gifford, Moe Z. Win:
A Machine Learning Approach to Ranging Error Mitigation for UWB Localization. IEEE Trans. Commun. 60(6): 1719-1728 (2012) - [j5]Wesley M. Gifford, Andrea Conti, Marco Chiani, Moe Z. Win:
On the SNR Penalties of Ideal and Non-ideal Subset Diversity Systems. IEEE Trans. Inf. Theory 58(6): 3708-3724 (2012) - [c7]Nanjangud C. Narendra, Karthikeyan Ponnalagu, Nianjun Zhou, Wesley M. Gifford:
Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development. SRII Global Conference 2012: 470-477 - [c6]Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda:
On the Analysis of Global Team Performance. SRII Global Conference 2012: 735-743 - 2011
- [j4]Moe Z. Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley M. Gifford, Davide Dardari, Marco Chiani:
Network localization and navigation via cooperation. IEEE Commun. Mag. 49(5): 56-62 (2011) - [c5]Wesley M. Gifford, William Weiliang Li, Ying Jun Zhang, Moe Z. Win:
Effect of Bandwidth on the Number of Multipath Components in Realistic Wireless Indoor Channels. ICC 2011: 1-6 - 2010
- [b1]Wesley M. Gifford:
Bandwidth scaling behavior in wireless systems: theory, experimentation, and performance analysis. Massachusetts Institute of Technology, Cambridge, MA, USA, 2010 - [j3]Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win:
NLOS identification and mitigation for localization based on UWB experimental data. IEEE J. Sel. Areas Commun. 28(7): 1026-1035 (2010)
2000 – 2009
- 2009
- [j2]Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani:
Optimized simple bounds for diversity systems. IEEE Trans. Commun. 57(9): 2674-2685 (2009) - [c4]Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win:
Nonparametric Obstruction Detection for UWB Localization. GLOBECOM 2009: 1-6 - 2008
- [j1]Wesley M. Gifford, Moe Z. Win, Marco Chiani:
Antenna subset diversity with non-ideal channel estimation. IEEE Trans. Wirel. Commun. 7(5-1): 1527-1539 (2008) - [c3]Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani:
Easily Invertible Tight Bounds for Diversity Reception. GLOBECOM 2008: 3396-3401 - 2006
- [c2]Wesley M. Gifford, Moe Z. Win, Marco Chiani:
On the SNR penalty for antenna subset diversity. IWCMC 2006: 617-622 - 2004
- [c1]Wesley M. Gifford, Moe Z. Win, Marco Chiani:
Realistic diversity systems in correlated fading. GLOBECOM 2004: 457-461
Coauthor Index
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