Suchergebnisse: Verfasser :: Library Catalog

1

PaPaGei: Open Foundation Models for Optical Physiological Signals Autoría: Pillai, Arvind, Spathis, Dimitris, Kawsar, Fahim, Malekzadeh, Mohammad

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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2

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Autoría: Saeed, Aaqib, Spathis, Dimitris, Oh, Jungwoo, Choi, Edward, Etemad, Ali

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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3

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast Autoría: Wu, Yu, Dang, Ting, Spathis, Dimitris, Jia, Hong, Mascolo, Cecilia

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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(Un)fair devices: Moving beyond AI accuracy in personal sensing Autoría: Yfantidou, Sofia, Constantinides, Marios, Spathis, Dimitris, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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5

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking Autoría: Deldari, Shohreh, Spathis, Dimitris, Malekzadeh, Mohammad, Kawsar, Fahim, Salim, Flora, Mathur, Akhil

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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Using Self-supervised Learning Can Improve Model Fairness Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mascolo, Cecilia, Mathur, Akhil

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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9

Balancing Continual Learning and Fine-tuning for Human Activity Recognition Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mathur, Akhil, Mascolo, Cecilia

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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10

SoundCollage: Automated Discovery of New Classes in Audio Datasets Autoría: Choi, Ryuhaerang, Chatterjee, Soumyajit, Spathis, Dimitris, Lee, Sung-Ju, Kawsar, Fahim, Malekzadeh, Mohammad

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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11

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact Autoría: Hung, Manh Pham, Ho, Matthew Yiwen, Zhang, Yiming, Spathis, Dimitris, Saeed, Aaqib, Ma, Dong

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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12

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 Autoría: Spathis, Dimitris, Saeed, Aaqib, Etemad, Ali, Tonekaboni, Sana, Laskaridis, Stefanos, Deldari, Shohreh, Tang, Chi Ian, Schwab, Patrick, Tailor, Shyam

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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13

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Autoría: Pillai, Arvind, Spathis, Dimitris, Nepal, Subigya, Collins, Amanda C, Mackin, Daniel M, Heinz, Michael V, Griffin, Tess Z, Jacobson, Nicholas C, Campbell, Andrew

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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14

Wearable Foundation Models Should Go Beyond Static Encoders Autoría: Wu, Yu Yvonne, Zhang, Yuwei, Yoon, Hyungjun, Dang, Ting, Spathis, Dimitris, Xia, Tong, Yang, Qiang, Han, Jing, Ma, Dong, Lee, Sung-Ju, Mascolo, Cecilia

Veröffentlicht 2026

Fuente: arXiv

Tipo de material: Preprint

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15

LSM-2: Learning from Incomplete Wearable Sensor Data Autoría: Xu, Maxwell A., Narayanswamy, Girish, Ayush, Kumar, Spathis, Dimitris, Liao, Shun, Tailor, Shyam A., Metwally, Ahmed, Heydari, A. Ali, Zhang, Yuwei, Garrison, Jake, Abdel-Ghaffar, Samy, Xu, Xuhai, Gu, Ken, Sunshine, Jacob, Poh, Ming-Zher, Liu, Yun, Althoff, Tim, Narayanan, Shrikanth, Kohli, Pushmeet, Malhotra, Mark, Patel, Shwetak, Yang, Yuzhe, Rehg, James M., Liu, Xin, McDuff, Daniel

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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16

Towards a General Intelligence and Interface for Wearable Health Data Autoría: Narayanswamy, Girish, Xu, Maxwell A., Heydari, A. Ali, Abdel-Ghaffar, Samy, Guerard, Marius, Vaillancourt, Kara, Zhang, Zhihan, Garrison, Jake, Albuquerque, Levi, Spathis, Dimitris, Yu, Hong, Palangi, Hamid, Xu, Xuhai "Orson", Barrett, David G. T., Breda, Joseph, McGiffin, Jed, Kim, Yubin, Zhang, Yuwei, Rezaei, Naghmeh, Solomon, Samuel, Ahuja, Karan, Althoff, Tim, Sunshine, Jake, Poh, Ming-Zher, Yetton, Benjamin, Winbush, Ari, Allen, Nicholas B., Rehg, James M., Galatzer-Levy, Isaac, Liu, Yun, Hernandez, John, Pathak, Anupam, Heneghan, Conor, Yang, Yuzhe, Metwally, Ahmed A., Kohli, Pushmeet, Malhotra, Mark, Patel, Shwetak, Liu, Xin, McDuff, Daniel

Veröffentlicht 2026

Fuente: arXiv

Tipo de material: Preprint

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PaPaGei: Open Foundation Models for Optical Physiological Signals Autoría: Pillai, Arvind, Spathis, Dimitris, Kawsar, Fahim, Malekzadeh, Mohammad

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Autoría: Saeed, Aaqib, Spathis, Dimitris, Oh, Jungwoo, Choi, Edward, Etemad, Ali

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast Autoría: Wu, Yu, Dang, Ting, Spathis, Dimitris, Jia, Hong, Mascolo, Cecilia

(Un)fair devices: Moving beyond AI accuracy in personal sensing Autoría: Yfantidou, Sofia, Constantinides, Marios, Spathis, Dimitris, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking Autoría: Deldari, Shohreh, Spathis, Dimitris, Malekzadeh, Mohammad, Kawsar, Fahim, Salim, Flora, Mathur, Akhil

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Using Self-supervised Learning Can Improve Model Fairness Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mascolo, Cecilia, Mathur, Akhil

Balancing Continual Learning and Fine-tuning for Human Activity Recognition Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mathur, Akhil, Mascolo, Cecilia

SoundCollage: Automated Discovery of New Classes in Audio Datasets Autoría: Choi, Ryuhaerang, Chatterjee, Soumyajit, Spathis, Dimitris, Lee, Sung-Ju, Kawsar, Fahim, Malekzadeh, Mohammad

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact Autoría: Hung, Manh Pham, Ho, Matthew Yiwen, Zhang, Yiming, Spathis, Dimitris, Saeed, Aaqib, Ma, Dong

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 Autoría: Spathis, Dimitris, Saeed, Aaqib, Etemad, Ali, Tonekaboni, Sana, Laskaridis, Stefanos, Deldari, Shohreh, Tang, Chi Ian, Schwab, Patrick, Tailor, Shyam

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Autoría: Pillai, Arvind, Spathis, Dimitris, Nepal, Subigya, Collins, Amanda C, Mackin, Daniel M, Heinz, Michael V, Griffin, Tess Z, Jacobson, Nicholas C, Campbell, Andrew

Wearable Foundation Models Should Go Beyond Static Encoders Autoría: Wu, Yu Yvonne, Zhang, Yuwei, Yoon, Hyungjun, Dang, Ting, Spathis, Dimitris, Xia, Tong, Yang, Qiang, Han, Jing, Ma, Dong, Lee, Sung-Ju, Mascolo, Cecilia

Suchergebnisse - Spathis, Dimitris

PaPaGei: Open Foundation Models for Optical Physiological Signals Autoría: Pillai, Arvind, Spathis, Dimitris, Kawsar, Fahim, Malekzadeh, Mohammad

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Autoría: Saeed, Aaqib, Spathis, Dimitris, Oh, Jungwoo, Choi, Edward, Etemad, Ali

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast Autoría: Wu, Yu, Dang, Ting, Spathis, Dimitris, Jia, Hong, Mascolo, Cecilia

(Un)fair devices: Moving beyond AI accuracy in personal sensing Autoría: Yfantidou, Sofia, Constantinides, Marios, Spathis, Dimitris, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking Autoría: Deldari, Shohreh, Spathis, Dimitris, Malekzadeh, Mohammad, Kawsar, Fahim, Salim, Flora, Mathur, Akhil

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Using Self-supervised Learning Can Improve Model Fairness Autoría: Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim

Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mascolo, Cecilia, Mathur, Akhil

Balancing Continual Learning and Fine-tuning for Human Activity Recognition Autoría: Tang, Chi Ian, Qendro, Lorena, Spathis, Dimitris, Kawsar, Fahim, Mathur, Akhil, Mascolo, Cecilia

SoundCollage: Automated Discovery of New Classes in Audio Datasets Autoría: Choi, Ryuhaerang, Chatterjee, Soumyajit, Spathis, Dimitris, Lee, Sung-Ju, Kawsar, Fahim, Malekzadeh, Mohammad

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact Autoría: Hung, Manh Pham, Ho, Matthew Yiwen, Zhang, Yiming, Spathis, Dimitris, Saeed, Aaqib, Ma, Dong

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 Autoría: Spathis, Dimitris, Saeed, Aaqib, Etemad, Ali, Tonekaboni, Sana, Laskaridis, Stefanos, Deldari, Shohreh, Tang, Chi Ian, Schwab, Patrick, Tailor, Shyam

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Autoría: Pillai, Arvind, Spathis, Dimitris, Nepal, Subigya, Collins, Amanda C, Mackin, Daniel M, Heinz, Michael V, Griffin, Tess Z, Jacobson, Nicholas C, Campbell, Andrew

Wearable Foundation Models Should Go Beyond Static Encoders Autoría: Wu, Yu Yvonne, Zhang, Yuwei, Yoon, Hyungjun, Dang, Ting, Spathis, Dimitris, Xia, Tong, Yang, Qiang, Han, Jing, Ma, Dong, Lee, Sung-Ju, Mascolo, Cecilia

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