Wesley M. Gifford

42 papers A* 2A 3B 7Journal 18Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting the Generic Transformer: Deconstructing a Strong Baseline for Time Series Foundation Models. CoRR Yunshi Wen, Wesley M. Gifford, Chandra Reddy, Lam M. Nguyen, Jayant Kalagnanam, Anak Agung Julius
2025	J	`jnl`	Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting. CoRR Zan Li, Kyongmin Yeo, Wesley M. Gifford, Lara V. Marcuse, Madeline C. Fields, Bülent Yener
2025	J	`jnl`	Spatio-Temporal Attention Network for Epileptic Seizure Prediction. CoRR Zan Li, Kyongmin Yeo, Wesley M. Gifford, Lara V. Marcuse, Madeline C. Fields, Bülent Yener
2025	J	`jnl`	TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis. CoRR Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam
2024	J	`jnl`	Cascading Failure Prediction via Causal Inference. CoRR Shiuli Subhra Ghosh, Anmol Dwivedi, Ali Tajer, Kyongmin Yeo, Wesley M. Gifford
2024	A*	`conf`	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. NeurIPS Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam
2024	J	`jnl`	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
2023	A*	`conf`	Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2022	B	`conf`	Distributed Incremental Machine Learning for Big Time Series Data. IEEE Big Data Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati
2022	J	`jnl`	Generative Adversarial Network for Probabilistic Forecast of Random Dynamical Systems. SIAM J. Sci. Comput. Kyongmin Yeo, Zan Li, Wesley M. Gifford
2022	J	`jnl`	Hierarchy-guided Model Selection for Time Series Forecasting. CoRR Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2022	J	`jnl`	The Impact of Multipath Information on Time-of-Arrival Estimation. IEEE Trans. Signal Process. Wesley M. Gifford, Davide Dardari, Moe Z. Win
2021	—	`conf`	AutoAI-TS: AutoAI for Time Series Forecasting. SIGMOD Conference 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
2021	J	`jnl`	AutoAI-TS: AutoAI for Time Series Forecasting. CoRR 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
2021	J	`jnl`	Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System. CoRR Kyongmin Yeo, Zan Li, Wesley M. Gifford
2020	—	`conf`	Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph. IEEE BigData Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy
2019	—	`conf`	DQA: Scalable, Automated and Interactive Data Quality Advisor. IEEE BigData Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam
2019	A	`conf`	Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou
2019	A	`conf`	Industry Specific Word Embedding and its Application in Log Classification. CIKM Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni
2019	A	`conf`	ThunderML: A Toolkit for Enabling AI/ML Models on Cloud for Industry 4.0. ICWS Shrey Shrivastava, Dhaval Patel, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam
2018	—	`conf`	Thematic Distillation and Point of View Extraction for Enterprise-Level Documents. AAAI Workshops Elham Khabiri, Wesley M. Gifford, Pietro Mazzoleni, Dharmesh Vadgama
2017	J	`jnl`	Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. CoRR Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu
2016	B	`conf`	A Case Study of Mobile User Behaviors Using Spatio-temporal Data. MDM Ying Li, Wesley M. Gifford, Anshul Sheopuri
2016	B	`conf`	An Unsupervised Collaborative Approach to Identifying Home and Work Locations. MDM Rong Liu, Swapna Buccapatnam, Wesley M. Gifford, Anshul Sheopuri
2016	—	`conf`	End-to-End Solution with Clustering Method for Attrition Analysis. SCC Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li
2014	—	`conf`	Engaging Learners in an Enterprise L&K System. RecSys Posters Wesley M. Gifford, Ashish Jagmohan, Yi-Min Chee, Anshul Sheopuri, John Ambrose, Sue Rodeman, Shota Aki
2014	—	`conf`	On the Quantification of Global Team Performance and Profitability. IEEE SCC Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda, Gregory H. Westerwick, Carl Engel
2013	—	`conf`	Toward a Flexible Bidding Strategy with Preference Analysis. IEEE SCC Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda
2012	J	`jnl`	A Machine Learning Approach to Ranging Error Mitigation for UWB Localization. IEEE Trans. Commun. Henk Wymeersch, Stefano Maranò, Wesley M. Gifford, Moe Z. Win
2012	—	`conf`	On the Analysis of Global Team Performance. SRII Global Conference Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda
2012	J	`jnl`	On the SNR Penalties of Ideal and Non-ideal Subset Diversity Systems. IEEE Trans. Inf. Theory Wesley M. Gifford, Andrea Conti, Marco Chiani, Moe Z. Win
2012	—	`conf`	Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development. SRII Global Conference Nanjangud C. Narendra, Karthikeyan Ponnalagu, Nianjun Zhou, Wesley M. Gifford
2011	—	`conf`	Effect of Bandwidth on the Number of Multipath Components in Realistic Wireless Indoor Channels. ICC Wesley M. Gifford, William Weiliang Li, Ying Jun Zhang, Moe Z. Win
2011	J	`jnl`	Network localization and navigation via cooperation. IEEE Commun. Mag. Moe Z. Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley M. Gifford, Davide Dardari, Marco Chiani
2010	—	`—`	Bandwidth scaling behavior in wireless systems: theory, experimentation, and performance analysis. Wesley M. Gifford
2010	J	`jnl`	NLOS identification and mitigation for localization based on UWB experimental data. IEEE J. Sel. Areas Commun. Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win
2009	B	`conf`	Nonparametric Obstruction Detection for UWB Localization. GLOBECOM Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win
2009	J	`jnl`	Optimized simple bounds for diversity systems. IEEE Trans. Commun. Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani
2008	J	`jnl`	Antenna subset diversity with non-ideal channel estimation. IEEE Trans. Wirel. Commun. Wesley M. Gifford, Moe Z. Win, Marco Chiani
2008	B	`conf`	Easily Invertible Tight Bounds for Diversity Reception. GLOBECOM Andrea Conti, Wesley M. Gifford, Moe Z. Win, Marco Chiani
2006	B	`conf`	On the SNR penalty for antenna subset diversity. IWCMC Wesley M. Gifford, Moe Z. Win, Marco Chiani
2004	B	`conf`	Realistic diversity systems in correlated fading. GLOBECOM Wesley M. Gifford, Moe Z. Win, Marco Chiani