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Publication search results
found 49 matches
- 2024
- Qinghua Lu
, Liming Zhu
, Xiwei Xu
, Yue Liu
, Zhenchang Xing
, Jon Whittle
:
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture. CAIN 2024: 1-6 - Gustavo Pinto
, Cleidson R. B. de Souza
, Thayssa A. da Rocha
, Igor Steinmacher
, Alberto de Souza
, Edward Monteiro
:
Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes. CAIN 2024: 81-91 - Francisco Durán
, Silverio Martínez-Fernández
, Matias Martinez
, Patricia Lago
:
Identifying Architectural Design Decisions for Achieving Green ML Serving. CAIN 2024: 18-23 - Hala Abdelkader
, Mohamed Abdelrazek
, Scott Barnett
, Jean-Guy Schneider
, Priya Rani
, Rajesh Vasa
:
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems - A Case Study. CAIN 2024: 178-183 - Negar Alizadeh
, Fernando Castor
:
Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures. CAIN 2024: 134-139 - Maria Teresa Baldassarre
, Domenico Gigante
, Marcos Kalinowski
, Azzurra Ragone
:
POLARIS: A Framework to Guide the Development of Trustworthy AI Systems. CAIN 2024: 200-210 - Scott Barnett
, Stefanus Kurniawan
, Srikanth Thudumu
, Zach Brannelly
, Mohamed Abdelrazek
:
Seven Failure Points When Engineering a Retrieval Augmented Generation System. CAIN 2024: 194-199 - Vanilson Burégio
, Iverson Pereira
, Henrique Cabral
:
Innovating Translation: Lessons Learned from BWX Generative Language Engine. CAIN 2024: 98-99 - Raphael Cabral
, Marcos Kalinowski
, Maria Teresa Baldassarre
, Hugo Villamizar
, Tatiana Escovedo
, Hélio Lopes
:
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CAIN 2024: 7-17 - Zakaria Chihani
:
Trustworthy AI: Industry-Guided Tooling of the Methods. CAIN 2024: 245-246 - Mojtaba Mostafavi Ghahfarokhi
, Hamed Jahantigh
, Alireza Asadi
, Sepehr Kianiangolafshani
, Ashkan Khademian
, Abbas Heydarnoori
:
A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data. CAIN 2024: 271-272 - Mojtaba Mostafavi Ghahfarokhi
, Ashkan Khademian
, Sepehr Kianiangolafshani
, Alireza Asadi
, Hamed Jahantigh
, Abbas Heydarnoori
:
Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation. CAIN 2024: 278-279 - Junji Hashimoto
, Nobukazu Yoshioka
:
A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements. CAIN 2024: 267-268 - Petra Heck
:
What About the Data? A Mapping Study on Data Engineering for AI Systems. CAIN 2024: 43-52 - Martin Hollender
, Chaojun Xu
, Ruomu Tan
:
Engineering Challenges in Industrial AI. CAIN 2024: 41-42 - Jati H. Husen
, Jomphon Runpakprakun
, Sun Chang
, Hironori Washizaki
, Hnin Thandar Tun
, Nobukazu Yoshioka
, Yoshiaki Fukazawa
:
Evaluation of The Generality of Multi-view Modeling Framework for ML Systems. CAIN 2024: 284-285 - Erik Johannes Husom
, Sagar Sen
, Arda Goknil
:
Engineering Carbon Emission-aware Machine Learning Pipelines. CAIN 2024: 118-128 - Vladislav Indykov
:
Component-based Approach to Software Engineering of Machine Learning-enabled Systems. CAIN 2024: 250-252 - Felix Viktor Jedrzejewski
:
Threat Modeling of ML-intensive Systems: Research Proposal. CAIN 2024: 264-266 - Jai Kannan
, Scott Barnett
, Anj Simmons
, Taylan Selvi
, Luis Cruz
:
Green Runner: A Tool for Efficient Deep Learning Component Selection. CAIN 2024: 112-117 - Krishna Khadka
, Jaganmohan Chandrasekaran
, Yu Lei
, Raghu N. Kacker
, D. Richard Kuhn
:
A Combinatorial Approach to Hyperparameter Optimization. CAIN 2024: 140-149 - Ziyu Li
, Donghwan Shin
:
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs. CAIN 2024: 150-159 - Wanqin Ma
, Chenyang Yang
, Christian Kästner
:
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CAIN 2024: 166-171 - Minh-Tri Nguyen
, Hong Linh Truong
, Tram Truong Huu
:
Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving. CAIN 2024: 234-244 - Ali Nouri
, Beatriz Cabrero Daniel
, Fredrik Törner
, Håkan Sivencrona
, Christian Berger
:
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models. CAIN 2024: 172-177 - Lauren Olson
:
Custom Developer GPT for Ethical AI Solutions. CAIN 2024: 282-283 - Rafiullah Omar
:
Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach. CAIN 2024: 259-263 - Lorena Barreto Simedo Pacheco
, Musfiqur Rahman
, Fazle Rabbi
, Pouya Fathollahzadeh
, Ahmad Abdellatif
, Emad Shihab
, Tse-Hsun (Peter) Chen
, Jinqiu Yang
, Ying Zou
:
DVC in Open Source ML-development: The Action and the Reaction. CAIN 2024: 75-80 - Andrei Paleyes
, Han-Bo Li
, Neil D. Lawrence
:
Can causality accelerate experimentation in software systems? CAIN 2024: 280-281 - Lorena Poenaru-Olaru
, Natalia Karpova
, Luis Cruz
, Jan S. Rellermeyer
, Arie van Deursen
:
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World. CAIN 2024: 222-233
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