Realistic diversity systems in correlated fading. - Wesley M. Gifford; Moe Z. Win; Marco Chiani (GLOBECOM, 2004)

On the SNR penalty for antenna subset diversity. - Wesley M. Gifford; Moe Z. Win; Marco Chiani (IWCMC, 2006)

Easily Invertible Tight Bounds for Diversity Reception. - Andrea Conti 001; Wesley M. Gifford; Moe Z. Win; Marco Chiani (GLOBECOM, 2008)

Antenna subset diversity with non-ideal channel estimation. - Wesley M. Gifford; Moe Z. Win; Marco Chiani (IEEE Trans. Wirel. Commun., 2008)

Nonparametric Obstruction Detection for UWB Localization. - Stefano Maranò 002; Wesley M. Gifford; Henk Wymeersch; Moe Z. Win (GLOBECOM, 2009)

Optimized simple bounds for diversity systems. - Andrea Conti 001; Wesley M. Gifford; Moe Z. Win; Marco Chiani (IEEE Trans. Commun., 2009)

NLOS identification and mitigation for localization based on UWB experimental data. - Stefano Maranò 002; Wesley M. Gifford; Henk Wymeersch; Moe Z. Win (IEEE J. Sel. Areas Commun., 2010)

Bandwidth scaling behavior in wireless systems: theory, experimentation, and performance analysis. - Wesley M. Gifford (2010)

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 (ICC, 2011)

Network localization and navigation via cooperation. - Moe Z. Win; Andrea Conti 001; Santiago Mazuelas; Yuan Shen 001; Wesley M. Gifford; Davide Dardari; Marco Chiani (IEEE Commun. Mag., 2011)

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 (SRII Global Conference, 2012)

On the Analysis of Global Team Performance. - Nianjun Zhou; Wesley M. Gifford; Krishna Ratakonda (SRII Global Conference, 2012)

A Machine Learning Approach to Ranging Error Mitigation for UWB Localization. - Henk Wymeersch; Stefano Maranò 002; Wesley M. Gifford; Moe Z. Win (IEEE Trans. Commun., 2012)

On the SNR Penalties of Ideal and Non-ideal Subset Diversity Systems. - Wesley M. Gifford; Andrea Conti 001; Marco Chiani; Moe Z. Win (IEEE Trans. Inf. Theory, 2012)

Toward a Flexible Bidding Strategy with Preference Analysis. - Nianjun Zhou; Wesley M. Gifford; Krishna Ratakonda (IEEE SCC, 2013)

On the Quantification of Global Team Performance and Profitability. - Nianjun Zhou; Wesley M. Gifford; Krishna Ratakonda; Gregory H. Westerwick; Carl Engel (IEEE SCC, 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 (RecSys Posters, 2014)

End-to-End Solution with Clustering Method for Attrition Analysis. - Nianjun Zhou; Wesley M. Gifford; Junchi Yan; Hongfei Li (SCC, 2016)

A Case Study of Mobile User Behaviors Using Spatio-temporal Data. - Ying Li; Wesley M. Gifford; Anshul Sheopuri (MDM, 2016)

An Unsupervised Collaborative Approach to Identifying Home and Work Locations. - Rong Liu; Swapna Buccapatnam; Wesley M. Gifford; Anshul Sheopuri (MDM, 2016)

Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. - Jinfeng Yi; Qi Lei; Wesley M. Gifford; Ji Liu (CoRR, 2017)

Thematic Distillation and Point of View Extraction for Enterprise-Level Documents. - Elham Khabiri; Wesley M. Gifford; Pietro Mazzoleni; Dharmesh Vadgama (AAAI Workshops, 2018)

DQA: Scalable, Automated and Interactive Data Quality Advisor. - Shrey Shrivastava; Dhaval Patel 002; Anuradha Bhamidipaty; Wesley M. Gifford; Stuart A. Siegel; Venkata Sitaramagiridharganesh Ganapavarapu; Jayant R. Kalagnanam (IEEE BigData, 2019)

Industry Specific Word Embedding and its Application in Log Classification. - Elham Khabiri; Wesley M. Gifford; Bhanukiran Vinzamuri; Dhaval Patel 002; Pietro Mazzoleni (CIKM, 2019)

ThunderML: A Toolkit for Enabling AI/ML Models on Cloud for Industry 4.0. - Shrey Shrivastava; Dhaval Patel 002; Wesley M. Gifford; Stuart Siegel; Jayant Kalagnanam (ICWS, 2019)

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. - Jinfeng Yi; Qi Lei; Wesley M. Gifford; Ji Liu; Junchi Yan; Bowen Zhou 001 (SDM, 2019)

Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph. - Dhaval Patel 002; Shrey Shrivastava; Wesley M. Gifford; Stuart Siegel; Jayant Kalagnanam; Chandra Reddy (IEEE BigData, 2020)

AutoAI-TS: AutoAI for Time Series Forecasting. - Syed Yousaf Shah; Dhaval Patel 002; Long Vu; Xuan-Hong Dang; Bei Chen; Peter Kirchner; Horst Samulowitz; David Wood; Gregory Bramble; Wesley M. Gifford; Giridhar Ganapavarapu; Roman Vaculín; et al. (SIGMOD Conference, 2021)

Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System. - Kyongmin Yeo; Zan Li; Wesley M. Gifford (CoRR, 2021)

Distributed Incremental Machine Learning for Big Time Series Data. - Dhaval Salwala; Seshu Tirupathi; Brian Quanz; Wesley M. Gifford; Stuart Siegel; Vijay Ekambaram; Arindam Jati (IEEE Big Data, 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)

The Impact of Multipath Information on Time-of-Arrival Estimation. - Wesley M. Gifford; Davide Dardari; Moe Z. Win (IEEE Trans. Signal Process., 2022)

Generative Adversarial Network for Probabilistic Forecast of Random Dynamical Systems. - Kyongmin Yeo; Zan Li; Wesley M. Gifford (SIAM J. Sci. Comput., 2022)

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 (KDD, 2023)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Pankaj Dayama 001; Sumanta Mukherjee; Nam Nguyen; Wesley M. Gifford; Chandra Reddy; Jayant Kalagnanam (NeurIPS, 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 001; Chandra Reddy; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2024)

Cascading Failure Prediction via Causal Inference. - Shiuli Subhra Ghosh; Anmol Dwivedi; Ali Tajer; Kyongmin Yeo; Wesley M. Gifford (CoRR, 2024)

TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis. - Vijay Ekambaram; Subodh Kumar; Arindam Jati; Sumanta Mukherjee; Tomoya Sakai; Pankaj Dayama 001; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2025)