Wesley M. Gifford

According to our database, Wesley M. Gifford authored at least 36 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cascading Failure Prediction via Causal Inference.

Shiuli Subhra Ghosh, Anmol Dwivedi, Ali Tajer, Kyongmin Yeo, Wesley M. Gifford

CoRR, 2024

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam

CoRR, 2024

2023

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Generative Adversarial Network for Probabilistic Forecast of Random Dynamical Systems.

Kyongmin Yeo, Zan Li, Wesley M. Gifford

SIAM J. Sci. Comput., August, 2022

The Impact of Multipath Information on Time-of-Arrival Estimation.

Wesley M. Gifford, Davide Dardari, Moe Z. Win

IEEE Trans. Signal Process., 2022

Hierarchy-guided Model Selection for Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

CoRR, 2022

Distributed Incremental Machine Learning for Big Time Series Data.

Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System.

Kyongmin Yeo, Zan Li, Wesley M. Gifford

CoRR, 2021

AutoAI-TS: AutoAI for Time Series Forecasting.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph.

Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

ThunderML: A Toolkit for Enabling AI/ML Models on Cloud for Industry 4.0.

Shrey Shrivastava, Dhaval Patel, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam

Proceedings of the Web Services - ICWS 2019, 2019

Industry Specific Word Embedding and its Application in Log Classification.

Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DQA: Scalable, Automated and Interactive Data Quality Advisor.

Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Thematic Distillation and Point of View Extraction for Enterprise-Level Documents.

Elham Khabiri, Wesley M. Gifford, Pietro Mazzoleni, Dharmesh Vadgama

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data.

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu

CoRR, 2017

2016

An Unsupervised Collaborative Approach to Identifying Home and Work Locations.

Rong Liu, Swapna Buccapatnam, Wesley M. Gifford, Anshul Sheopuri

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

A Case Study of Mobile User Behaviors Using Spatio-temporal Data.

Ying Li, Wesley M. Gifford, Anshul Sheopuri

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

End-to-End Solution with Clustering Method for Attrition Analysis.

Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li

Proceedings of the IEEE International Conference on Services Computing, 2016

2014

Engaging Learners in an Enterprise L&K System.

Wesley M. Gifford, Ashish Jagmohan, Yi-Min Chee, Anshul Sheopuri, John Ambrose, Sue Rodeman, Shota Aki

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

On the Quantification of Global Team Performance and Profitability.

Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda, Gregory H. Westerwick, Carl Engel

Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013

Toward a Flexible Bidding Strategy with Preference Analysis.

Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012

On the SNR Penalties of Ideal and Non-ideal Subset Diversity Systems.

Wesley M. Gifford, Andrea Conti, Marco Chiani, Moe Z. Win

IEEE Trans. Inf. Theory, 2012

A Machine Learning Approach to Ranging Error Mitigation for UWB Localization.

Henk Wymeersch, Stefano Maranò, Wesley M. Gifford, Moe Z. Win

IEEE Trans. Commun., 2012

On the Analysis of Global Team Performance.

Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda

Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development.

Nanjangud C. Narendra, Karthikeyan Ponnalagu, Nianjun Zhou, Wesley M. Gifford

Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

2011

Network localization and navigation via cooperation.

Moe Z. Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley M. Gifford, Davide Dardari, Marco Chiani

IEEE Commun. Mag., 2011

Effect of Bandwidth on the Number of Multipath Components in Realistic Wireless Indoor Channels.

Wesley M. Gifford, William Weiliang Li, Ying Jun Zhang, Moe Z. Win

Proceedings of IEEE International Conference on Communications, 2011

2010

Bandwidth scaling behavior in wireless systems: theory, experimentation, and performance analysis.

Wesley M. Gifford

PhD thesis, 2010

NLOS identification and mitigation for localization based on UWB experimental data.

Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win

IEEE J. Sel. Areas Commun., 2010

2009

Optimized simple bounds for diversity systems.

Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani

IEEE Trans. Commun., 2009

Nonparametric Obstruction Detection for UWB Localization.

Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008

Antenna subset diversity with non-ideal channel estimation.

Wesley M. Gifford, Moe Z. Win, Marco Chiani

IEEE Trans. Wirel. Commun., 2008

Easily Invertible Tight Bounds for Diversity Reception.

Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani

Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2006

On the SNR penalty for antenna subset diversity.

Wesley M. Gifford, Moe Z. Win, Marco Chiani

Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2006

2004

Realistic diversity systems in correlated fading.

Wesley M. Gifford, Moe Z. Win, Marco Chiani

Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004