:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.02361
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
by: Yfantidou, Sofia, et al.
Published: (2024)

(Un)fair devices: Moving beyond AI accuracy in personal sensing
by: Yfantidou, Sofia, et al.
Published: (2023)

Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
by: Tang, Chi Ian, et al.
Published: (2023)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)

PaPaGei: Open Foundation Models for Optical Physiological Signals
by: Pillai, Arvind, et al.
Published: (2024)

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
by: Deldari, Shohreh, et al.
Published: (2023)

Balancing Continual Learning and Fine-tuning for Human Activity Recognition
by: Tang, Chi Ian, et al.
Published: (2024)

AI, Jobs, and the Automation Trap: Where Is HCI?
by: Constantinides, Marios, et al.
Published: (2025)

Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
by: Zhou, Ke, et al.
Published: (2025)

AI and the economic divide: How Artificial Intelligence could widen the divide in the U.S.
by: Septiandri, Ali, et al.
Published: (2025)

WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?
by: Septiandri, Ali Akbar, et al.
Published: (2024)

The Impact of Responsible AI Research on Innovation and Development
by: Septiandri, Ali Akbar, et al.
Published: (2024)

The Potential Impact of AI Innovations on U.S. Occupations
by: Septiandri, Ali Akbar, et al.
Published: (2023)

Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
by: Andritsoudis, Vasilis, et al.
Published: (2025)

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing
by: Malekzadeh, Mohammad, et al.
Published: (2023)

Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs
by: Paraschou, Eva, et al.
Published: (2025)

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
by: Gong, Taesik, et al.
Published: (2024)

PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision
by: Das, Arnav M., et al.
Published: (2024)

Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
by: Bogucka, Edyta, et al.
Published: (2024)

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
by: Sadek, Malak, et al.
Published: (2024)

Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
by: Constantinides, Marios, et al.
Published: (2024)

Impact Assessment Card: Communicating Risks and Benefits of AI Uses
by: Bogucka, Edyta, et al.
Published: (2025)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
by: Wu, Yu, et al.
Published: (2024)

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective
by: Famá, Fernanda, et al.
Published: (2025)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
by: Saeed, Aaqib, et al.
Published: (2024)

Enhancing Efficiency in Multidevice Federated Learning through Data Selection
by: Mo, Fan, et al.
Published: (2022)

CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
by: Shu, Yuxuan, et al.
Published: (2025)

AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
by: Tenison, Irene, et al.
Published: (2025)

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models
by: Anjum, Md Fahim
Published: (2024)

The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform
by: Moreira, Gustavo, et al.
Published: (2025)

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
by: Hung, Manh Pham, et al.
Published: (2025)

Can Large Reasoning Models Self-Train?
by: Shafayat, Sheikh, et al.
Published: (2025)

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
by: Dang, Ting, et al.
Published: (2026)

User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
by: Nimmo, Robert, et al.
Published: (2024)

RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles
by: Constantinides, Marios, et al.
Published: (2023)

SoundCollage: Automated Discovery of New Classes in Audio Datasets
by: Choi, Ryuhaerang, et al.
Published: (2024)

Time-bound Contextual Bio-ID Generation for Minimalist Wearables
by: Orzikulova, Adiba, et al.
Published: (2024)

Rolling in the deep of cognitive and AI biases
by: Tantalaki, Nicoleta, et al.
Published: (2024)

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines
by: Vakali, Athena, et al.
Published: (2025)

The Potential Impact of Disruptive AI Innovations on U.S. Occupations
by: Kim, Munjung, et al.
Published: (2025)