• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2024
• 
  Hong Nguyen Thi Khanh:
  Argumentation Based Machine Learning for Inconsistent Knowledge Bases. Informatica (Slovenia) 48(9) (2024)
• 
  Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth:
  LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. ACL (1) 2024: 4455-4476
• 
  Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth:
  LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. CoRR abs/2406.03363 (2024)
• 2023
• 
  Luís Conceição:
  Argumentation dialogues in web-based GDSS: an approach using machine learning techniques. University of Minho, Portugal, 2023
• 
  Andrés Segura-Tinoco, Iván Cantador:
  Dimensionality Reduction for Machine Learning-based Argument Mining. ArgMining@EMNLP 2023: 89-99
• 
  Nicoletta Prentzas:
  Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 158-163
• 2022
• 
  Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
  Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI 2022: 5592-5599
• 
  Nicoletta Prentzas, Athena Gavrielidou, Marios Neofytou, Antonis C. Kakas:
  Argumentation-based Explainable Machine Learning (ArgEML): a Real-life Use Case on Gynecological Cancer. ArgML@COMMA 2022: 1-13
• 2021
• 
  Riya Sil, Alpana, Abhishek Roy, Mili Dasmahapatra, Debojit Dhali:
  An intelligent approach for automated argument based legal text recognition and summarization using machine learning. J. Intell. Fuzzy Syst. 41(5): 5457-5466 (2021)
• 
  Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
  Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR abs/2112.04953 (2021)
• 2019
• 
  Matej Guid, Martin Mozina, Matevz Pavlic, Klemen Tursic:
  Learning by Arguing in Argument-Based Machine Learning Framework. ITS 2019: 112-122
• 2018
• 
  Martin Mozina, Timotej Lazar, Ivan Bratko:
  Identifying typical approaches and errors in Prolog programming with argument-based machine learning. Expert Syst. Appl. 112: 110-124 (2018)
• 
  Fuyuki Ishikawa, Yutaka Matsuno:
  Continuous Argument Engineering: Tackling Uncertainty in Machine Learning Based Systems. SAFECOMP Workshops 2018: 14-21
• 2013
• 
  Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
  Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine 57(2): 133-144 (2013)
• 
  Kevin D. Ashley, Vern R. Walker:
  Toward constructing evidence-based legal arguments using legal decision documents and machine learning. ICAIL 2013: 176-180
• 2011
• 
  Joo-Young Lee, Gumwon Hong, Hae-Chang Rim, Young-In Song, Young-Sook Hwang:
  Predicate-argument reordering based on learning to rank for English-Korean machine translation. ICUIMC 2011: 2
• 2009
• 
  Martin Mozina, Claudio Giuliano, Ivan Bratko:
  Argument Based Machine Learning from Examples and Text. ACIIDS 2009: 18-23
• 
  Ivan Bratko, Jure Zabkar, Martin Mozina:
  Argument-Based Machine Learning. Argumentation in Artificial Intelligence 2009: 463-482
• 2008
• 
  Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
  Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI 2008: 234-238
• 2007
• 
  Martin Mozina, Jure Zabkar, Ivan Bratko:
  Argument based machine learning. Artif. Intell. 171(10-15): 922-937 (2007)
• 2006
• 
  Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko:
  Argument Based Machine Learning in a Medical Domain. COMMA 2006: 59-70
• 
  Ivan Bratko, Martin Mozina, Jure Zabkar:
  Argument-Based Machine Learning. ISMIS 2006: 11-17
• 2005
• 
  Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
  Argument Based Machine Learning Applied to Law. Artif. Intell. Law 13(1): 53-73 (2005)
• 
  Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
  Application of Argument Based Machine Learning to Law. ICAIL 2005: 248-249