Achim G. Hoffmann

Ghassan Beydoun, Achim G. Hoffmann: Dynamic evaluation of the development process of knowledge-based information systems. Knowl. Inf. Syst. 35(1): 233-247 (2013)

Juana María Ruiz-Martínez, Rafael Valencia-García, Rodrigo Martínez-Béjar, Achim G. Hoffmann: BioOntoVerb: A top level ontology based framework to populate biomedical ontologies from texts. Knowl.-Based Syst. 36: 68-80 (2012)

Filippo Galgani, Paul Compton, Achim G. Hoffmann: Towards Automatic Generation of Catchphrases for Legal Case Reports. CICLing (2) 2012: 414-425

Filippo Galgani, Paul Compton, Achim G. Hoffmann: Knowledge Acquisition for Categorization of Legal Case Reports. PKAW 2012: 118-132

Filippo Galgani, Paul Compton, Achim G. Hoffmann: Citation Based Summarisation of Legal Texts. PRICAI 2012: 40-52

Ghassan Beydoun, Achim G. Hoffmann, Ramsey F. Hamade: Automating dimensional tolerancing using Ripple down Rules (RDR). Expert Syst. Appl. 37(7): 5101-5109 (2010)

Achim G. Hoffmann: Can Machines Think? An Old Question Reformulated. Minds and Machines 20(2): 203-212 (2010)

Filippo Galgani, Achim G. Hoffmann: LEXA: Towards Automatic Legal Citation Classification. Australasian Conference on Artificial Intelligence 2010: 445-454

Juana María Ruiz-Martínez, Rafael Valencia-García, Rodrigo Martínez-Béjar, Achim G. Hoffmann: Populating Biomedical Ontologies from Natural Language Texts. KEOD 2010: 27-36

Han Xu, Achim G. Hoffmann: RDRCE: Combining Machine Learning and Knowledge Acquisition. PKAW 2010: 165-179

Bernhard Pfahringer, Geoffrey Holmes, Achim G. Hoffmann (Eds.): Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings. Lecture Notes in Computer Science 6332, Springer 2010, isbn 978-3-642-16183-4

Achim G. Hoffmann, Abdus Salam Khan: A New Approach for the Incremental Development of Retrieval Functions for CBR. Applied Artificial Intelligence 20(6): 507-542 (2006)

Son Bao Pham, Achim G. Hoffmann: Efficient Knowledge Acquisition for Extracting Temporal Relations. ECAI 2006: 521-525

Seung Yeol Yoo, Achim G. Hoffmann: Clustering-Based Relevance Feedback for Web Pages. PRICAI 2006: 464-473

Seung Yeol Yoo, Achim G. Hoffmann: Query-Topic Focused Web Pages Summarization. PRICAI 2006: 533-543

Yuanyong Wang, Achim G. Hoffmann: Bootstrapping Word Sense Disambiguation Using Dynamic Web Knowledge. PRICAI 2006: 1150-1154

Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards, Shusaku Tsumoto (Eds.): Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4303, Springer 2006, isbn 3-540-68955-9

Ghassan Beydoun, Achim G. Hoffmann, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez-Béjar, Rafael Valencia-García, Aybüke Aurum: Cooperative Modelling Evaluated. Int. J. Cooperative Inf. Syst. 14(1): 45-71 (2005)

Seung Yeol Yoo, Achim G. Hoffmann: Knowledge-Level Management of Web Information. APWeb 2005: 597-608

Yuanyong Wang, Achim G. Hoffmann: Unsupervised Bilingual Word Sense Disambiguation Using Web Statistics. Australian Conference on Artificial Intelligence 2005: 1167-1172

J. P. Bekmann, Achim G. Hoffmann: Improved Knowledge Acquisition for High-Performance Heuristic Search. IJCAI 2005: 41-46

Seung Yeol Yoo, Achim G. Hoffmann: Pseudo-Relevance Feedback in Web Information Retrieval Using Segments' Subjective Importance Values. Web Intelligence 2005: 422-425

Achim G. Hoffmann, Hiroshi Motoda, Tobias Scheffer (Eds.): Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings. Lecture Notes in Computer Science 3735, Springer 2005, isbn 3-540-29230-6

Byeong Ho Kang, Achim G. Hoffmann, Takahira Yamaguchi, Wai-Kiang Yeap: Proceedings of the Pacific Knowledge Acquisition Workshop 2004. CoRR abs/cs/0504071 (2005)

Zhalaing Cheung, Khanh Linh Phan, Ashesh Mahidadia, Achim G. Hoffmann: Feature Extraction for Learning to Classify Questions. Australian Conference on Artificial Intelligence 2004: 1069-1075

Son Bao Pham, Achim G. Hoffmann: Extracting Positive Attributions from Scientific Papers. Discovery Science 2004: 169-182

J. P. Bekmann, Achim G. Hoffmann: Incremental Knowledge Acquisition for Improving Probabilistic Search Algorithms. EKAW 2004: 248-264

Son Bao Pham, Achim G. Hoffmann: KAFTIE: A New KA Framework for Building Sophisticated Information Extraction Systems. EKAW 2004: 499-501

Seung Yeol Yoo, Achim G. Hoffmann: Discovering Conceptual Web-Knowledge in Web Documents. EKAW 2004: 504-505

Son Bao Pham, Achim G. Hoffmann: Incremental Knowledge Acquisition for Building Sophisticated Information Extraction Systems with KAFTIE. PAKM 2004: 292-306

J. P. Bekmann, Achim G. Hoffmann: HeurEAKA - A New Approach for Adapting GAs to the Problem Domain. PRICAI 2004: 361-372

Ghassan Beydoun, John K. Debenham, Achim G. Hoffmann: Using Messaging Structure to Evolve Agents Roles in Electronic Markets. PRIMA 2004: 18-28

Abdus Salam Khan, Achim G. Hoffmann: Building a case-based diet recommendation system without a knowledge engineer. Artificial Intelligence in Medicine 27(2): 155-179 (2003)

Seung Yeol Yoo, Achim G. Hoffmann: A New Approach for Concept-Based Web Search. Australian Conference on Artificial Intelligence 2003: 65-76

Son Bao Pham, Achim G. Hoffmann: A New Approach for Scientific Citation Classification Using Cue Phrases. Australian Conference on Artificial Intelligence 2003: 759-771

Achim G. Hoffmann, Son Bao Pham: Towards topic-based summarization for interactive document viewing. K-CAP 2003: 28-35

Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim G. Hoffmann, Johanna I. Westbrook, Tatjana Zrimec: Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules. PAKDD 2003: 124-135

Claude Sammut, Achim G. Hoffmann (Eds.): Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002. Morgan Kaufmann 2002, isbn 1-55860-873-7

Ghassan Beydoun, Achim G. Hoffmann: Theoretical basis for hierarchical incremental knowledge acquisition. Int. J. Hum.-Comput. Stud. 54(3): 407-452 (2001)

Piotr Chrzastowski-Wachtel, Jerzy Tyszkiewicz, Achim G. Hoffmann, Arthur Ramer: Definability of connectives in conditional event algebras of Schay-Adams-Calabrese and Goodman-Nguyen-Walker. Inf. Process. Lett. 79(4): 155-160 (2001)

Abdus Salam Khan, Achim G. Hoffmann: Acquiring Adaptation Knowledge for CBR with MIKAS. Australian Joint Conference on Artificial Intelligence 2001: 201-212

Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton: Simulations for Comparing Knowledge Acquisition and Machine Learning. Australian Joint Conference on Artificial Intelligence 2001: 273-284

Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton: Using Subclasses to Improve Classification Learning. ECML 2001: 203-213

Jerzy Tyszkiewicz, Arthur Ramer, Achim G. Hoffmann: The temporal calculus of conditional objects and conditional events. CoRR cs.AI/0110003 (2001)

Jerzy Tyszkiewicz, Achim G. Hoffmann, Arthur Ramer: Embedding conditional event algebras into temporal calculus of conditionals. CoRR cs.AI/0110004 (2001)

Ghassan Beydoun, Achim G. Hoffmann: Incremental acquisition of search knowledge. Int. J. Hum.-Comput. Stud. 52(3): 493-530 (2000)

Ghassan Beydoun, Achim G. Hoffmann: MonitoringKnowledge Acquisition Instead of Evaluating Knowledge Bases. EKAW 2000: 387-402

Abdus Salam Khan, Achim G. Hoffmann: A New Apporach for the Incremental Development of Adaptation Functions for CBR. EWCBR 2000: 260-272

Ghassan Beydoun, Achim G. Hoffmann: Holism and Incremental Knowledge Acquisition. EKAW 1999: 309-314

Stefan Kaspar, Achim G. Hoffmann: Semi-automated incremental prototyping of spoken dialog systems. ICSLP 1998

Ghassan Beydoun, Achim G. Hoffmann: Simultaneous Modelling and Knowledge Acquisition Using NRDR. PRICAI 1998: 83-95

Achim G. Hoffmann: Complex Connectionist Dynamics and the Limited Complexity of the Resulting Functions. Connect. Sci. 9(2): 201-216 (1997)

Achim G. Hoffmann: On computational limitations of self-organization. Neurocomputing 15(1): 69-87 (1997)

Ghassan Beydoun, Achim G. Hoffmann: NRDR for the Acquisition of Search Knowledge. Australian Joint Conference on Artificial Intelligence 1997: 177-186

Ghassan Beydoun, Achim G. Hoffmann: Acquisition of Search Knowledge. EKAW 1997: 1-16

Stefan Kaspar, Achim G. Hoffmann: Using Knowledge Acquisition to Build Spoken Language Systems. EKAW 1997: 353-358

Adnan Amin, Michael Bamford, Achim G. Hoffmann, Ashesh Mahidadia, Paul Compton: Recognition of Hand-Printed Chinese Characters Using Ripple Down Rules. SSPR 1996: 371-380

Achim G. Hoffmann: Auf der Suche nach den Prinzipien Künstlicher Intelligenz. KI 9(6): 35-41 (1995)

Rusins Freivalds, Achim G. Hoffmann: An inductive inference approach to classification. J. Exp. Theor. Artif. Intell. 6(1): 63-72 (1994)

Achim G. Hoffmann: Exploiting Causal Domain Knowledge for Learning to Control Dynamic Systems. ECAI 1994: 433-437

Achim G. Hoffmann: The Dynamic Locking Heuristic - A New Graph Partitioning Algorithm. ISCAS 1994: 173-176

Achim G. Hoffmann: A New Strategy for Library-independent Layout Design. ISCAS 1993: 2055-2058

Rusins Freivalds, Achim G. Hoffmann: An Inductive Inference Appoach to Classification. AII 1992: 187-196

Achim G. Hoffmann: Phenomenology, Representations and Complexity. ECAI 1992: 610-614

Achim G. Hoffmann: Die Theorie des Lernbaren - ein Überblick. KI 5(1): 7-11 (1991)

Achim G. Hoffmann, Sunil Thakar: Acquiring Knowledge by Efficient Query Learning. IJCAI 1991: 783-789

Achim G. Hoffmann: Review of Machine Intelligence: A Critique of Arguments Against the Possibility of Artificial Intelligence. AI Magazine 11(4): 95 (1990)

Achim G. Hoffmann: Connectionist functionality and the emergent network behavior. Neurocomputing 2(4): 161-172 (1990)

Achim G. Hoffmann: General Limitations on Machine Learning. ECAI 1990: 345-347

Achim G. Hoffmann: Types of Efficient Query Learning. GWAI 1990: 257-266

Achim G. Hoffmann: The Computational Complexity of Occam's Razor. GWAI 1990: 277-281

Achim G. Hoffmann: On computational limitations of neural network architectures. SPDP 1990: 818-825