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Publication search results
found 82 matches
- 2024
- Giuseppe Dilillo, Ezequiel Joaquín Marchesini, G. Della Casa, G. Baroni, R. Campana, E. Borciani, S. Srivastava, S. Trevisan, F. Ceraudo, M. Citossi, Y. Evangelista, A. Guzmán, P. Hedderman, C. Labanti, E. Virgilli, Fabrizio Fiore:
The HERMES calibration pipeline: mescal. Astron. Comput. 46: 100797 (2024) - Eric Cito Becman, Larissa Driemeier, Oron Levin, Stephan P. Swinnen, Arturo Forner-Cordero:
A comparison study of myoelectric regression performances when estimating different types of joint kinematic data. Expert Syst. Appl. 254: 124345 (2024) - Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel, Gemma Catolino, Jürgen Cito, Neil A. Ernst, Thomas Fritz, Hideaki Hata, Reid Holmes, Maliheh Izadi, Foutse Khomh, Mikkel Baun Kjærgaard, Grischa Liebel, Alberto Lluch-Lafuente, Stefano Lambiase, Walid Maalej, Gail C. Murphy, Nils Brede Moe, Gabrielle O'Brien, Elda Paja, Mauro Pezzè, John Stouby Persson, Rafael Prikladnicki, Paul Ralph, Martin P. Robillard, Thiago Rocha Silva, Klaas-Jan Stol, Margaret-Anne D. Storey, Viktoria Stray, Paolo Tell, Christoph Treude, Bogdan Vasilescu:
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. J. Syst. Softw. 216: 112115 (2024) - Daniel Coutinho, Luisa Cito, Maria Vitória Lima, Beatriz Arantes, Juliana Alves Pereira, Johny Arriel, João Godinho, Vinicius Martins, Paulo Vítor C. F. Libório, Leonardo Pedrosa Leite, Alessandro Garcia, Wesley K. G. Assunção, Igor Steinmacher, Augusto Baffa, Baldoino Fonseca:
"Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions. EASE 2024: 211-221 - Alba Puyuelo Citoler, Eunji Lee:
Designing a Social Snus Cessation Mobile Application with an Integrated AI Function. MIE 2024: 532-533 - Stefan Winter, Christopher Steven Timperley, Ben Hermann, Jürgen Cito, Jonathan Bell, Michael Hilton, Dirk Beyer:
A Retrospective Study of one Decade of Artifact Evaluations. Software Engineering 2024: 95-96 - Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar:
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR abs/2401.13160 (2024) - Feitong Qiao, Aryana Mohammadi, Jürgen Cito, Mark Santolucito:
Statically Inferring Usage Bounds for Infrastructure as Code. CoRR abs/2402.15632 (2024) - Andreas Happe, Jürgen Cito:
Got Root? A Linux Priv-Esc Benchmark. CoRR abs/2405.02106 (2024) - Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo:
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR abs/2405.18754 (2024) - 2023
- William Aboucaya:
Collaborative systems for large-scale online citizen participation. (Systèmes collaboratifs pour la participation citoyenne en ligne à grande échelle). Sorbonne University, Paris, France, 2023 - Katharina Kloppenborg:
Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science. (Production Par les Pairs dans la Science Citoyenne : Une Approche Centrée sur la Communauté à travers l'Exemple de la Science Personnelle). Paris Cité University, France, 2023 - Eric Cito Becman, Larissa Driemeier, Oron Levin, Stephan P. Swinnen, Arturo Forner-Cordero:
Asymmetric Effects of Different Training-Testing Mismatch Types on Myoelectric Regression via Deep Learning. IEEE J. Biomed. Health Informatics 27(4): 1857-1868 (2023) - Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer:
Learning to Learn to Predict Performance Regressions in Production at Meta. AST 2023: 56-67 - Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. ICLR 2023 - Gerhard Jungwirth, Aakanksha Saha, Michael Schröder, Tobias Fiebig, Martina Lindorfer, Jürgen Cito:
Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. MSR 2023: 322-333 - Andreas Happe, Jürgen Cito:
Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners. ESEC/SIGSOFT FSE 2023: 1669-1680 - Andreas Happe, Jürgen Cito:
Getting pwn'd by AI: Penetration Testing with Large Language Models. ESEC/SIGSOFT FSE 2023: 2082-2086 - Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. CoRR abs/2301.12052 (2023) - Christian Amesoeder, Florian Hartig, Maximilian Pichler:
cito: An R package for training neural networks using torch. CoRR abs/2303.09599 (2023) - Andreas Happe, Jürgen Cito:
Getting pwn'd by AI: Penetration Testing with Large Language Models. CoRR abs/2308.00121 (2023) - Andreas Happe, Jürgen Cito:
Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners. CoRR abs/2308.07057 (2023) - Andreas Happe, Aaron Kaplan, Jürgen Cito:
Evaluating LLMs for Privilege-Escalation Scenarios. CoRR abs/2310.11409 (2023) - Jürgen Cito, Ruzica Piskac, Mark Santolucito, Andy Zaidman, Daniel Sokolowski:
Resilient Software Configuration and Infrastructure Code Analysis (Dagstuhl Seminar 23082). Dagstuhl Reports 13(2): 163-182 (2023) - 2022
- Stefan Winter, Christopher Steven Timperley, Ben Hermann, Jürgen Cito, Jonathan Bell, Michael Hilton, Dirk Beyer:
A retrospective study of one decade of artifact evaluations. ESEC/SIGSOFT FSE 2022: 145-156 - Bruno Citoni, Shuja Ansari, Qammer Hussain Abbasi, Muhammad Ali Imran, Sajjad Hussain:
Downlink Independent Throughput optimisation in LoRaWAN. VTC Spring 2022: 1-5 - Stefan Winter, Chris Timperley, Ben Hermann, Jürgen Cito, Jonathan Bell, Michael Hilton, Dirk Beyer:
Reproduction Package (Docker container) for the FSE 2022 Article 'A Retrospective Study of one Decade of Artifact Evaluations'. Zenodo, 2022 - Stefan Winter, Chris Timperley, Ben Hermann, Jürgen Cito, Jonathan Bell, Michael Hilton, Dirk Beyer:
Reproduction Package (Docker container) for the ESEC/FSE 2022 Article 'A Retrospective Study of one Decade of Artifact Evaluations'. Zenodo, 2022 - Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer:
Learning to Learn to Predict Performance Regressions in Production at Meta. CoRR abs/2208.04351 (2022) - 2021
- Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo:
A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features. Sensors 21(21): 7043 (2021)
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