|
|
Venues (Conferences, Journals, ...)
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
No Growbag Graphs found.
|
|
|
Results
Found 61 publication records. Showing 61 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Marc Zeller, Martin Rothfelder, Cornel Klein |
safe.trAIn - Engineering and Assurance of a Driverless Regional Train. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei |
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner |
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Tim Yarally, Luis Cruz 0002, Daniel Feitosa, June Sallou, Arie van Deursen |
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Leon Chemnitz, David Reichenbach, Hani Aldebes, Mariam Naveed, Krishna Narasimhan, Mira Mezini |
Towards Code Generation from BDD Test Case Specifications: A Vision. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Nicolás Cardozo, Ivana Dusparic, Christian Cabrera 0003 |
Prevalence of Code Smells in Reinforcement Learning Projects. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Eduard Pinconschi, Sofia Reis, Chi Zhang, Rui Abreu 0001, Hakan Erdogmus, Corina S. Pasareanu, Limin Jia 0001 |
Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Iva Krasteva, Boris Kraychev, Ensiye Kiyamousavi |
How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Laurent Boué, Pratap Kunireddy, Pavle Subotic |
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Emmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard |
Algorithm Debt: Challenges and Future Paths. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Ilche Georgievski |
Conceptualising Software Development Lifecycle for Engineering AI Planning Systems. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Boming Xia, Qinghua Lu 0001, Harsha Perera, Liming Zhu 0001, Zhenchang Xing, Yue Liu, Jon Whittle 0001 |
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Marcel Grote, Justus Bogner |
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence |
Dataflow graphs as complete causal graphs. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Lorena Poenaru-Olaru, Luis Cruz 0002, Jan S. Rellermeyer, Arie van Deursen |
Maintaining and Monitoring AIOps Models Against Concept Drift. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, Polly Jing Li |
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Qiang Hu, Yuejun Guo 0001, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon |
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | |
2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, Melbourne, Australia, May 15-16, 2023 |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Arumoy Shome, Luís Cruz 0002, Arie van Deursen |
Towards Understanding Machine Learning Testing in Practise. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Petra Heck, Gerard Schouten |
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla |
Replay-Driven Continual Learning for the Industrial Internet of Things. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka, Kazuki Munakata |
Extensible Modeling Framework for Reliable Machine Learning System Analysis. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Muhammed Tawfiq Chowdhury, Jane Cleland-Huang |
Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | András Schmelczer, Joost Visser 0001 |
Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelines. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Valentina Lenarduzzi, Minna Isomursu |
AI Living Lab: Quality Assurance for AI-based Health systems. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Armin Moin, Atta Badii, Stephan Günnemann, Moharram Challenger |
Enabling Machine Learning in Software Architecture Frameworks. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein 0001, Norbert Siegmund |
Exploring Hyperparameter Usage and Tuning in Machine Learning Research. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Lukas Heiland, Marius Hauser, Justus Bogner |
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Iordanis Fostiropoulos, Bowman Brown, Laurent Itti |
Reproducibility Requires Consolidated Artifacts. |
CAIN |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Hans-Martin Heyn, Eric Knauss |
Structural causal models as boundary objects in AI system development. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon |
Influence-driven data poisoning in graph-based semi-supervised classifiers. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Akihito Yoshii, Susumu Tokumoto, Fuyuki Ishikawa |
Practical insights of repairing model problems on image classification. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Ali Kanso, Kinshuman Patra |
Engineering a platform for reinforcement learning workloads. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Anmol Singhal, Preethu Rose Anish, Pratik Sonar, Smita S. Ghaisas |
Data is about detail: an empirical investigation for software systems with NLP at core. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi |
Traceable business-to-safety analysis framework for safety-critical machine learning systems. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Markus Haug, Justus Bogner |
Towards a methodological framework for production-ready AI-based software components. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Marcel Altendeitering, Julia Pampus, Felix Larrinaga, Jon Legaristi, Falk Howar |
Data sovereignty for AI pipelines: lessons learned from an industrial project at Mondragon corporation. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina |
Method cards for prescriptive machine-learning transparency. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Luigi Quaranta, Fabio Calefato, Filippo Lanubile |
Pynblint: a static analyzer for Python Jupyter notebooks. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Harald Foidl, Michael Felderer, Rudolf Ramler |
Data smells: categories, causes and consequences, and detection of suspicious data in AI-based systems. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Marcel Meesters, Petra Heck, Alexander Serebrenik |
What is an AI engineer?: an empirical analysis of job ads in The Netherlands. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico |
Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Olimar Teixeira Borges, Valentina Lenarduzzi, Rafael Prikladnicki |
Preliminary insights to enable automation of the software development process in software StartUps: an investigation study from the use of artificial intelligence and machine learning. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Qinghua Lu 0001, Liming Zhu 0001, Xiwei Xu 0001, Jon Whittle 0001, Zhenchang Xing |
Towards a roadmap on software engineering for responsible AI. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Valentina Golendukhina, Valentina Lenarduzzi, Michael Felderer |
What is software quality for AI engineers?: towards a thinning of the fog. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Haiyin Zhang, Luís Cruz 0002, Arie van Deursen |
Code smells for machine learning applications. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson |
The goldilocks framework: towards selecting the optimal approach to conducting AI projects. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Yuejun Guo 0001, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon |
Robust active learning: sample-efficient training of robust deep learning models. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Beatriz M. A. Matsui, Denise H. Goya |
MLOps: five steps to guide its effective implementation. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Mira Marhaba, Ettore Merlo, Foutse Khomh, Giuliano Antoniol |
Identification of out-of-distribution cases of CNN using class-based surprise adequacy. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Jun Yajima, Maki Inui, Takanori Oikawa, Fumiyoshi Kasahara, Ikuya Morikawa, Nobukazu Yoshioka |
A new approach for machine learning security risk assessment: work in progress. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Birte Friesel, Olaf Spinczyk |
Black-box models for non-functional properties of AI software systems. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Andrei Paleyes, Christian Cabrera 0003, Neil D. Lawrence |
An empirical evaluation of flow based programming in the machine learning deployment context. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Arumoy Shome, Luís Cruz 0002, Arie van Deursen |
Data smells in public datasets. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Hadil Abukwaik, Lefter Sula, Pablo Rodriguez 0002 |
TopSelect: a topology-based feature selection method for industrial machine learning. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Ivica Crnkovic (eds.) |
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, CAIN 2022, Pittsburgh, Pennsylvania, May 16-17, 2022 |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Hamed Barzamini, Mona Rahimi, Murtuza Shahzad, Hamed Alhoori |
Improving generalizability of ML-enabled software through domain specification. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Markus Borg, Johan Bengtsson, Harald Österling, Alexander Hagelborn, Isabella Gagner, Piotr Tomaszewski |
Quality assurance of generative dialog models in an evolving conversational agent used for Swedish language practice. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Xiangzhe Xu, Hongyu Liu, Guanhong Tao 0001, Zhou Xuan, Xiangyu Zhang 0001 |
Checkpointing and deterministic training for deep learning. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen |
UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Samuli Laato, Teemu Birkstedt, Matti Mäntymäki, Matti Minkkinen, Tommi Mikkonen |
AI governance in the system development life cycle: insights on responsible machine learning engineering. |
CAIN |
2022 |
DBLP DOI BibTeX RDF |
|
Displaying result #1 - #61 of 61 (100 per page; Change: )
|
|