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ORCIDCecilia Mascolo
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[j61]Changshuo Hu
, Thivya Kandappu, Yang Liu, Cecilia Mascolo, Dong Ma:
BreathPro: Monitoring Breathing Mode during Running with Earables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 71:1-71:25 (2024)- [j60]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo:
An evaluation of heart rate monitoring with in-ear microphones under motion. Pervasive Mob. Comput. 100: 101913 (2024) - [c191]Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo:
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge. ICML 2024 - [c190]Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo:
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. KDD 2024: 3484-3494 - [c189]Tamisa Ketmalasiri, Yu Yvonne Wu, Kayla-Jade Butkow, Cecilia Mascolo, Yang Liu:
IMChew: Chewing Analysis using Earphone Inertial Measurement Units. BodySys@MobiSys 2024: 29-34 - [c188]Changshuo Hu, Thivya Kandappu, Jake Stuchbury-Wass, Yang Liu, Anthony Tang, Cecilia Mascolo, Dong Ma:
Detecting Foot Strikes during Running with Earbuds. BodySys@MobiSys 2024: 35-40 - [c187]Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo:
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. PerCom 2024: 1-10 - [c186]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV 2024: 2829-2838 - [i85]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo:
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR abs/2401.02255 (2024) - [i84]Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo:
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. CoRR abs/2402.09264 (2024) - [i83]Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo:
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. CoRR abs/2406.16148 (2024) - [i82]Yang Liu, Kayla-Jade Butkow, Jake Stuchbury-Wass, Adam Pullin, Dong Ma, Cecilia Mascolo:
RespEar: Earable-Based Robust Respiratory Rate Monitoring. CoRR abs/2407.06901 (2024) - [i81]Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. CoRR abs/2409.08788 (2024) - 2023
- [j59]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023) - [c185]Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo:
Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. CinC 2023: 1-4 - [c184]Laya Jose, Shlomo Berkovsky, Hao Xiong, Cecilia Mascolo, Roneel V. Sharan:
Denoising Cough Sound Recordings Using Neural Networks. EMBC 2023: 1-4 - [c183]Sotirios Vavaroutas, Lorena Qendro, Cecilia Mascolo:
Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data. EMBC 2023: 1-4 - [c182]Terry Fawden, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. EUSIPCO 2023: 1305-1309 - [c181]Jake Stuchbury-Wass, Erika Bondareva, Kayla-Jade Butkow, Sanja Scepanovic, Zoran Radivojevic, Cecilia Mascolo:
Heart Rate Extraction from Abdominal Audio Signals. ICASSP 2023: 1-5 - [c180]Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo:
Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. ICASSP 2023: 1-5 - [c179]Abhirup Ghosh, Cecilia Mascolo:
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning. IJCAI 2023: 3741-3749 - [c178]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [c177]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. MLHC 2023: 863-883 - [c176]Jacob Brown, Yang Liu, Cecilia Mascolo:
Yawning Detection using Earphone Inertial Measurement Units. SmartWear@MobiCom 2023: 7-13 - [c175]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones. PERCOM 2023: 200-209 - [c174]Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo:
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. SenSys 2023: 138-151 - [d2]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 1. Zenodo, 2023 [all versions]
- [d1]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 2. Zenodo, 2023 [all versions] - [i80]Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo:
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. CoRR abs/2303.07067 (2023) - [i79]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - [i78]Jake Stuchbury-Wass, Erika Bondareva, Kayla-Jade Butkow, Sanja Scepanovic, Zoran Radivojevic, Cecilia Mascolo:
Heart Rate Extraction from Abdominal Audio Signals. CoRR abs/2304.11020 (2023) - [i77]Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo:
TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR abs/2307.09988 (2023) - [i76]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. CoRR abs/2307.16651 (2023) - [i75]Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo:
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. CoRR abs/2311.11420 (2023) - [i74]Tong Xia, Abhirup Ghosh, Cecilia Mascolo:
FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation. CoRR abs/2312.02327 (2023) - 2022
- [j58]Yingying (Jennifer) Chen, Cecilia Mascolo:
Women in Networks: Professor Cecilia Mascolo. IEEE Netw. 36(4): 4-5 (2022) - [j57]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [j56]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. npj Digit. Medicine 5 (2022) - [j55]Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo:
Breaking away from labels: The promise of self-supervised machine learning in intelligent health. Patterns 3(2): 100410 (2022) - [j54]Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo:
Mobile Health With Head-Worn Devices: Challenges and Opportunities. IEEE Pervasive Comput. 21(3): 52-60 (2022) - [c173]Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo:
Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC 2022: 1-4 - [c172]Lorena Qendro, Cecilia Mascolo:
Towards Adversarial Robustness with Early Exit Ensembles. EMBC 2022: 313-316 - [c171]Erika Bondareva, Marios Constantinides, Michael S. Eggleston, Ireneusz Jablonski, Cecilia Mascolo, Zoran Radivojevic, Sanja Scepanovic:
Stress Inference from Abdominal Sounds using Machine Learning. EMBC 2022: 1985-1988 - [c170]Jagmohan Chauhan, Young D. Kwon, Cecilia Mascolo:
Exploring On-Device Learning Using Few Shots for Audio Classification. EUSIPCO 2022: 424-428 - [c169]Jake Stuchbury-Wass, Andrea Ferlini, Cecilia Mascolo:
Multimodal Attention Networks for Human Activity Recognition From Earable Devices. UbiComp/ISWC Adjunct 2022: 258-260 - [c168]Apinan Hasthanasombat, Abhirup Ghosh, Dimitris Spathis, Cecilia Mascolo:
Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data. UbiComp/ISWC Adjunct 2022: 329-334 - [c167]Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo:
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP 2022: 3998-4002 - [c166]Dong Ma, Chi Ian Tang, Cecilia Mascolo:
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning. ICASSP 2022: 4173-4177 - [c165]Ting Dang, Thomas Quinnell, Cecilia Mascolo:
Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch. INTERSPEECH 2022: 2468-2472 - [c164]Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers. IPSN 2022: 285-297 - [c163]Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu:
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. MobiCom 2022: 661-675 - [c162]Anish Das, Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
Enabling On-Device Smartphone GPU based Training: Lessons Learned. PerCom Workshops 2022: 533-538 - [i73]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - [i72]Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy:
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. CoRR abs/2201.07711 (2022) - [i71]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A Summary of the ComParE COVID-19 Challenges. CoRR abs/2202.08981 (2022) - [i70]Anish Das, Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
Enabling On-Device Smartphone GPU based Training: Lessons Learned. CoRR abs/2202.10100 (2022) - [i69]Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers. CoRR abs/2203.03794 (2022) - [i68]Dong Ma, Chi Ian Tang, Cecilia Mascolo:
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning. CoRR abs/2204.12915 (2022) - [i67]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. CoRR abs/2205.03116 (2022) - [i66]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. CoRR abs/2211.10475 (2022) - 2021
- [j53]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 36:1-36:30 (2021) - [j52]Dong Ma, Andrea Ferlini, Cecilia Mascolo:
Innovative Human Motion Sensing With Earbuds. GetMobile Mob. Comput. Commun. 25(4): 24-29 (2021) - [j51]Jing Han, Zixing Zhang, Cecilia Mascolo, Elisabeth André, Jianhua Tao, Ziping Zhao, Björn W. Schuller:
Deep Learning for Mobile Mental Health: Challenges and recent advances. IEEE Signal Process. Mag. 38(6): 96-105 (2021) - [c161]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. CHIL 2021: 69-78 - [c160]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. EMBC 2021: 669-672 - [c159]Ashwin Ahuja, Andrea Ferlini, Cecilia Mascolo:
PilotEar: Enabling In-ear Inertial Navigation. UbiComp/ISWC Adjunct 2021: 139-145 - [c158]Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo:
Earables for Detection of Bruxism: a Feasibility Study. UbiComp/ISWC Adjunct 2021: 146-151 - [c157]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP 2021: 8328-8332 - [c156]Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. SEC 2021: 214-227 - [c155]Young D. Kwon, Jagmohan Chauhan, Abhishek Kumar, Pan Hui, Cecilia Mascolo:
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. SEC 2021: 319-332 - [c154]Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications. Interspeech 2021: 356-360 - [c153]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 2021: 431-435 - [c152]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c151]Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo:
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. MobileHCI 2021: 17:1-17:15 - [c150]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
Early Exit Ensembles for Uncertainty Quantification. ML4H@NeurIPS 2021: 181-195 - [c149]Andrea Ferlini, Dong Ma, Robert Harle, Cecilia Mascolo:
EarGate: gait-based user identification with in-ear microphones. MobiCom 2021: 337-349 - [c148]Dong Ma, Andrea Ferlini, Cecilia Mascolo:
OESense: employing occlusion effect for in-ear human sensing. MobiSys 2021: 175-187 - [c147]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [c146]Andrea Ferlini, Alessandro Montanari, Andreas Grammenos, Robert Harle, Cecilia Mascolo:
Enabling In-Ear Magnetic Sensing: Automatic and User Transparent Magnetometer Calibration. PerCom 2021: 1-8 - [c145]Dionysis Manousakas, Cecilia Mascolo:
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers. WSDM 2021: 940-948 - [i65]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR abs/2102.05225 (2021) - [i64]Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. CoRR abs/2102.05956 (2021) - [i63]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. CoRR abs/2102.06073 (2021) - [i62]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - [i61]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i60]Jordan Cambe, Krittika D'Silva, Anastasios Noulas, Cecilia Mascolo, Adam Waksman:
Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics. CoRR abs/2104.13981 (2021) - [i59]Krittika D'Silva, Jordan Cambe, Anastasios Noulas, Cecilia Mascolo, Adam Waksman:
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks. CoRR abs/2104.14633 (2021) - [i58]Sandra Servia Rodríguez, Cecilia Mascolo, Young D. Kwon:
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks. CoRR abs/2106.05872 (2021) - [i57]Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications. CoRR abs/2106.07268 (2021) - [i56]Dong Ma, Andrea Ferlini, Cecilia Mascolo:
OESense: Employing Occlusion Effect for In-ear Human Sensing. CoRR abs/2106.08607 (2021) - [i55]Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo:
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. CoRR abs/2106.10970 (2021) - [i54]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i53]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. CoRR abs/2107.10746 (2021) - [i52]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. CoRR abs/2108.04139 (2021) - [i51]Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo:
Earables for Detection of Bruxism: a Feasibility Study. CoRR abs/2108.04144 (2021) - [i50]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
Motion-resilient Heart Rate Monitoring with In-ear Microphones. CoRR abs/2108.09393 (2021) - [i49]Andrea Ferlini, Dong Ma, Robert Harle, Cecilia Mascolo:
EarGate: Gait-based User Identification with In-ear Microphones. CoRR abs/2108.12305 (2021) - [i48]Ashwin Ahuja, Andrea Ferlini, Cecilia Mascolo:
PilotEar: Enabling In-ear Inertial Navigation. CoRR abs/2109.14332 (2021) - [i47]Young D. Kwon, Jagmohan Chauhan, Abhishek Kumar, Pan Hui, Cecilia Mascolo:
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. CoRR abs/2110.13290 (2021) - [i46]Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo:
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. CoRR abs/2111.07089 (2021) - [i45]Tong Xia, Jing Han, Cecilia Mascolo:
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. CoRR abs/2112.09196 (2021) - 2020
- [j50]Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo:
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 73:1-73:24 (2020) - [j49]Jagmohan Chauhan, Young D. Kwon, Pan Hui, Cecilia Mascolo:
ContAuth: Continual Learning Framework for Behavioral-based User Authentication. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 122:1-122:23 (2020) - [c144]Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo:
A first step towards on-device monitoring of body sounds in the wild. UbiComp/ISWC Adjunct 2020: 708-712 - [c143]Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo:
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. ICWSM 2020: 339-350 - [c142]Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD 2020: 3474-3484 - [c141]Cecilia Mascolo:
Mobile Health Diagnostics through Audio Signals. HealthDL@MobiSys 2020: 16 - [c140]Andreas Grammenos, Rodrigo Mendoza-Smith, Jon Crowcroft, Cecilia Mascolo:
Federated Principal Component Analysis. NeurIPS 2020 - [c139]Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell:
Bayesian Pseudocoresets. NeurIPS 2020 - [c138]Cecilia Mascolo:
Listen to your Health: Reflections on Mobile Health Diagnostics through Audio Signals. HotMobile 2020: 1 - [i44]