- Md Tajmilur Rahman
, Rahul Singh
, Mir Yousuf Sultan
:
Automating Patch Set Generation from Code Reviews Using Large Language Models. CAIN 2024: 273-274 - Keerthiga Rajenthiram
:
Optimizing Data Analytics Workflows through User-driven Experimentation. CAIN 2024: 253-255 - Zafaryab Rasool
, Scott Barnett
, David Willie
, Stefanus Kurniawan
, Sherwin Balugo
, Srikanth Thudumu
, Mohamed Abdelrazek
:
LLMs for Test Input Generation for Semantic Applications. CAIN 2024: 160-165 - Gilberto Recupito
, Raimondo Rapacciuolo
, Dario Di Nucci
, Fabio Palomba
:
Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality. CAIN 2024: 53-63 - Gustavo Rodrigues dos Reis
, Adrian Mos
, Mario Cortes Cornax
, Cyril Labbé
:
Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search. CAIN 2024: 275-277 - Santiago del Rey
:
Software Design Decisions for Greener Machine Learning-based Systems. CAIN 2024: 256-258 - Diaeddin Rimawi
, Antonio Liotta
, Marco Todescato
, Barbara Russo
:
Modeling Resilience of Collaborative AI Systems. CAIN 2024: 24-29 - Krishna Ronanki
, Beatriz Cabrero Daniel
, Christian Berger
:
Prompt Smells: An Omen for Undesirable Generative AI Outputs. CAIN 2024: 286-287 - Hiroshi Tanaka
, Masaru Ide
, Jun Yajima
, Sachiko Onodera
, Kazuki Munakata
, Nobukazu Yoshioka
:
Taxonomy of Generative AI Applications for Risk Assessment. CAIN 2024: 288-289 - Saeid Tizpaz-Niari
, Sriram Sankaranarayanan
:
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory. CAIN 2024: 211-221 - Tajkia Rahman Toma
, Cor-Paul Bezemer
:
An Exploratory Study of Dataset and Model Management in Open Source Machine Learning Applications. CAIN 2024: 64-74 - Matthias Wagner
:
Continuous Quality Assurance and ML Pipelines under the AI Act. CAIN 2024: 247-249 - Hironori Washizaki
, Nobukazu Yoshioka
:
AI Security Continuum: Concept and Challenges. CAIN 2024: 269-270 - Gereon Weiss
, Marc Zeller
, Hannes Schoenhaar
, Christian Drabek
, Andreas Kreutz
:
Approach for Argumenting Safety on Basis of an Operational Design Domain. CAIN 2024: 184-193 - Jie JW Wu
:
An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective. CAIN 2024: 30-40 - Boming Xia
, Qinghua Lu
, Liming Zhu
, Sung Une Lee
, Yue Liu
, Zhenchang Xing
:
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability. CAIN 2024: 100-111 - Ye Yuan
, Jiacheng Shi
, Zongyao Zhang
, Kaiwei Chen
, Jingzhi Zhang
, Vincenzo Stoico
, Ivano Malavolta
:
The Impact of Knowledge Distillation on the Energy Consumption and Runtime Efficiency of NLP Models. CAIN 2024: 129-133 - Dawen Zhang
, Boming Xia
, Yue Liu
, Xiwei Xu
, Thong Hoang
, Zhenchang Xing
, Mark Staples
, Qinghua Lu
, Liming Zhu
:
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. CAIN 2024: 92-97 - Jane Cleland-Huang, Jan Bosch, Henry Muccini, Grace A. Lewis:
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, Lisbon, Portugal, April 14-15, 2024. ACM 2024 [contents]