Publications

Journal Papers

• Hülya Özuysal, Murat Atan, Halil Altay Güvenir, Kripto para birimlerinin ölme riskinin tahmini Gazi İktisat ve İşletme Dergisi Vol. 8, Issue 3 (2022), pp. 547-564.

• Karani KARDAŞ, H. Altay GÜVENİR, Kısa Sınavların, Ödevlerin ve Projelerin Dönem Sonu Sınavına Olan Etkilerinin Farklı Makine Öğrenmesi Teknikleri ile Araştırılması EMO Bilimsel Dergi Vol. 10, Issue 1 (2020), pp. 21-27.

• Başak Melis ÖCAL, Altay GÜVENİR, Konum Önerisi için Zaman Tabanlı Uzman Destekli İşbirliğine Dayalı Filtreleme / Time Based Expert Supported Collaborative Filtering for Location Recommendation Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi Vol. 13, Issue 1 (2020), pp. 20-32.

• Deniz Katircioglu-Öztürk, H. Altay Güvenir, Ursula Ravensc, Nazife Baykal, A Window-Based Characterization Method for Biophysical Time Series Computers in Biology and Medicine, DOI: http://dx.doi.org/10.1016/j.compbiomed.2017.08.011 Vol. 89, (2017), pp. 466–486.

• Emre Oto, Sercan Okutucu, Deniz Katircioglu-Öztürk, Halil Altay Güvenir, Ergun Karaagaoglu, Martin Borggrefe, Günter Breithardt, Andreas Goette, Ursula Ravens, Gerhard Steinbeck, Karl Wegscheider, Ali Oto, Paulus Kirchhof, Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data set Europace, DOI: http://dx.doi.org/10.1093/europace/euw144 Vol. 19, Issue 6, (2017), pp. 921-928.

• S. Okutucu, D. Katircioglu-Özturk, E. Oto, H. A. Güvenir, E. Karaagaoglu, A. Oto, T. Meinertz, and A. Goette, Data mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial: ‘exposing the invisible’ Europace, DOI: http://dx.doi.org/10.1093/europace/euw084, Vol. 19, Issue 5, (2017), pp. 741-746.

• Berfu Demir, Inci Kahyaoglu, Altay Guvenir, Neslihan Yerebasmaz, Sadiman Altinbas, Berna Dilbaz, Serdar Dilbaz & Leyla Mollamahmutoglu, Progesterone change in the late follicular phase affects pregnancy rates both agonist and antagonist protocols in normoresponders: a case-controlled study in ICSI cycles Gynecological Endocrinology, DOI 10.3109/09513590.2015.1121226, Vol. 32, Issue 5, (2016), pp. 361-365.

• H. Altay Güvenir, Gizem Misirli, Serdar Dilbaz, Ozlem Ozdegirmenci, Berfu Demir, Berna Dilbaz, Estimating the chance of success in IVF treatment using a ranking algorithm Medical & Biological Engineering & Computing, DOI 10.1007/s11517-015-1299-2, Vol. 53, Issue 9, (2015), pp. 911-920.

• Ursula Ravens, Deniz Katircioglu-Öztürk, Erich Wettwer, Torsten Christ, Dobromir Dobrev, Niels Voigt, Claire Poulet, Simone Loose, Jana Simon, Agnes Stein, Klaus Matschke, Michael Knaut, Emre Oto, Ali Oto, H. Altay Güvenir, Application of the RIMARC Algorithm to a Large Data Set of Action Potentials and Clinical Parameters for Risk Prediction of Atrial Fibrillation Medical & Biological Engineering & Computing, DOI 10.1007/s11517-014-1232-0, Vol. 53, Issue 3, (2015), pp. 263-273.

• H. Altay Güvenir, Murat Kurtcephe, Ranking Instances by Maximizing the Area under ROC Curve, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 10, (2013), pp 2356-2366.

• Murat Kurtcephe, H. Altay Güvenir, A Discretization Method Based on Maximizing the Area Under Receiver Operating Characteristic Curve, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 27, No. 1, Art. No. 1350002, (2013).

• Karca Duru Aral, Halil Altay Güvenir, İhsan Sabuncuoğlu, Ahmet Ruchan Akar, A Prescription Fraud Detection Model, Computer Methods and Programs in Biomedicine, Vol. 106, No. 1, (2012), pp 37-46.

• Ahmet Ruchan Akar, Murat Kurtcephe, Erol Sener, Cem Alhan, Serkan Durdu, Ayse Gul Kunt, Halil Altay Güvenir and The working Group for the Turkish Society of Cardiovascular Surgery and Turkish Ministry of Health, Validation of the EuroSCORE risk models in Turkish adult cardiac surgical population, European Journal of Cardio-Thoracic Surgery, Vol. 40, No. 3, (2011), pp. 730-735.

• H. A. Güvenir, M. Çakir, Voting features based classifier with feature construction and its application to predicting financial distress, Expert Systems with Applications, Vol. 37, No. 2, (2010), pp. 1713–1718.

• T. Aydin, H. A. Güvenir, Modeling interestingness of streaming association rules as a benefit-maximizing classification problem, Knowledge-Based Systems, Vol. 22, No. 1, (2009), pp. 85-99.

• H. A. Güvenir, N. Emeksiz, N. Ikizler, N. Örmeci, Diagnosis of gastric carcinoma by classification on feature projections, Artificial Intelligence in Medicine, Vol. 31, No. 3, (2004), pp. 231 - 240.

• I. Uysal and H. A. Güvenir, Instance-Based Regression by Partitioning Feature Projections, Applied Intelligence, Vol. 21, No. 1, (2004), pp. 57-79.

• K. M. Karakaya and H. A. Güvenir, ARG: A Tool for Automatic Report Generation, Istanbul University - Journal of Electrical & Electronics Engineering, Vol. 4, No. 2, (2004), pp. 1101-1109.

• B. Ari and H. A. Güvenir, Clustered Linear Regression, Knowledge-Based Systems, Vol. 15, No. 3, (2002), pp. 167-173.

• I. Cicekli and H. A. Güvenir, Learning Translation Templates from Bilingual Translation Examples, Applied Intelligence, Vol. 15, No. 1, (2001), pp 57-76.

• H. A. Güvenir and I. Uysal, Regression on Feature Projections, Knowledge-Based Systems, Vol. 13, No. 4, (2000), pp. 207-214.

• H. A. Güvenir and N. Emeksiz, An Expert System for the Differential Diagnosis of Erythemato-Squamous Diseases, Expert Systems With Applications, Vol. 18, No. 1 , (2000), pp. 43-49.

• I. Uysal and H. A. Güvenir, An Overview of Regression Techniques for Knowledge Discovery, The Knowledge Engineering Review, Cambridge University Press, Vol. 14, No. 4, (1999), pp. 319-340.

• H. A. Güvenir, and I. Cicekli, Learning Translation Templates from Examples, Information Systems, Vol. 23, No. 6, (1998), pp. 353-363.

• H. A. Güvenir, G. Demiröz and N. Ilter, Learning Differential Diagnosis of Erythemato-Squamous Diseases using Voting Feature Intervals, Artificial Intelligence in Medicine, Vol. 13, No. 3, (1998), pp. 147-165.

• H. A. Güvenir and H. G. Koç, Concept Representation with Overlapping Feature Intervals, Cybernetics and Systems: An International Journal, Vol. 29, No. 3, (1998), pp. 263-282.

• H. A. Güvenir and E. Erel, Multicriteria Inventory Classification using a Genetic Algorithm, European Journal of Operational Research, Vol. 105, No. 1, (1998), pp. 29-37.

• H. A. Güvenir and I. Sirin, Classification by Feature Partitioning, Machine Learning, Vol. 23, No. 1, (1996), pp. 47-67.

• H. A. Güvenir, An Object-Oriented Tutoring System for Teaching Sets, SIGCSE Bulletin, Vol. 27, No. 3, (September 1995), pp. 39-46.

• F. Polat, S. Shekhar and H. A. Güvenir, A Negotiation Platform for Cooperating Multi-agent Systems, Concurrent Engineering, Vol. 1, No. 3, (1993), pp. 179-187. DOI: https://doi.org/10.1177/1063293X9300100306

• F. Polat, S. Shekhar and H. A. Güvenir, Distributed Conflict Resolution among cooperating expert Systems, Expert Systems: The International Journal of Knowledge Engineering, Vol. 10, No. 4, (1993), pp. 227-236.

• F. Polat and H. Altay Güvenir, UVT: A Unification-Based Tool for Knowledge Base Verification, IEEE Intelligent Systems & Their Applications, Vol. 8, No. 3, (1993), pp. 69-75.

• H. A. Güvenir and V. Akman, Problem Representation for Refinement, Minds and Machines, Vol. 2, No. 3, (1992), pp. 267-282.

• F. Polat and H. Altay Güvenir, A Unification-based Approach for Knowledge Base Verification, Expert Systems: The International Journal of Knowledge Engineering, Vol. 8, No. 4, (1991), pp. 251-259.

• H. A. Güvenir and G. W. Ernst, Learning Problem Solving Strategies Using Refinement and Macro Generation, Artificial Intelligence, Vol 44, No. 1-2, (1990), pp. 209-243.

Papers in Conference Proceedings

• Bedirhan Sakinoglu and Altay Güvenir, Predicting the Risk of Death of Cryptocurrencies in: Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, (IEEE COINS 2023), Berlin, Germany, (July 23-25, 2023). DOI: 10.1109/COINS57856.2023.10189205 (online)

• L. Fenercioğlu, H. A. Güvenir, I. Türköz, Movie Trailer Scene Classification based on Audio VGGish Features in: Proceedings of The 2022 International Conference on Machine Learning, Control, and Robotics, (MLCR 2022), Suzhou, China, (October 29-31, 2022) pp. 49-54. DOI: 10.1109/MLCR57210.2022.00018 (online)

• I. Türköz and H. A. Güvenir, Detection of Animated Scenes Among Movie Trailers in: Proceedings of the 18th International Conference on Machine Learning and Data Mining, (MLDM 2022) New York, USA, (July 16-21, 2022) (Online)

• M. E. Turanboy, S. Ibrahimov, T. Duzceer, A. Orujaliyev, H. O. Kocahan, M. Sakalsız, H. A. Guvenir, An Application Using Blockchain for Banking Systems in: Proceedings of the 20th RSEP International Economics, Finance & Business Conference, Vienna, Austria, (February 17-18, 2021) (Online)

• E. Doğan, E. Tüzün, K.A. Tecimer , H. A. Güvenir, Investigating the Validity of Ground Truth in Code Reviewer Recommendation Studies in: Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Porto de Galinhas, Brazil, (September 19-20, 2019). DOI: 10.1109/ESEM.2019.8870190 (Online)

• N. Salek Faramarzi, E. Ayday, A. Güvenir, A Privacy-Preserving Solution for the Bipartite Ranking Problem in: Proceedings of 15th IEEE International Conference on Machine Learning and Applications, Anaheim, California, USA, (Dec. 18-20, 2016), art. no. 7838171, pp. 375-380. (pdf copy)

• B. Demir, H. Guvenir, I. Kahyaoglu, A. Turkkani, I. Kaplanaoglu, L. Mollamahmutoglu, The Comparison of Factors Affecting the Chance of Clinical Pregnancy vs. Achieving Top Quality Embryo in ICSI Cycles: Using A New Ranking Algorithm (RIMARC) in: Proceedings of 71st Annual Meeting of the American-Society-for-Reproductive-Medicine, Baltimore, USA, (Oct. 17-21, 2015), Fertility and Sterility, Vol 103, Issue 3, E225-E225 Supplement: S Meeting Abstract: P-350. (Online)

• B. Evranos, K. Aytemir, B. Yavuz, E. Oto, N. Ata, D. K. Ozturk, E. Karaagaoglu, A. Güvenir, S. Ozcan, E. Ertugay, R. Koselerli, A. Burkan, M. Kuruca, Y. G. Ilhan, J. Camm, A. Oto. Hospitalization for Atrial Fibrillation Increases in the Elderly: Recent Analysis From TuRkish Atrial Fibrillation Data Base, in: Proceedings of Scientific Sessions and Resuscitation Science Symposium of the American-Heart-Association, Dallas, USA, (Nov. 16-17, 2013), Circulation, Vol 128, Issue 22, S Meeting Abstract: 18783. (Online)

• N. Ata, B. Yavuz, E. Oto, D. K. Ozturk, K. Aytemir, E. Karaismailoglu, A. Güvenir, S. Ozcan, E. Ertugay, R. Koselerli, A. Burkan, M. Kuruca, Y.G. Ilhan, J. Camm, A. Oto. Characteristics of Atrial Fibrillation in Hemodialysis Patients, in: Proceedings of Scientific Sessions and Resuscitation Science Symposium of the American-Heart-Association, Dallas, USA, (Nov. 16-17, 2013), Circulation, Vol 128, Issue 22, S Meeting Abstract: 19130. (Online)

• T. Aydin and H. A. Güvenir, A Novel Hybrid Approach for Interestingness Analysis of Classification Rules, in: Proceedings of JSAI 2004 Conference Kanazawa, Japan (May/June, 2004), LNAI 3609, Springer-Verlag, Akito Sakurai, Koti, Hasida and Katsumu Nitta (Eds.), (2007), 485-496. (pdf copy)

• T. Aydin and H. A. Güvenir, Modeling Interestingness of Streaming Classification Rules as a Classification Problem, in: Proceedings of 14th Turkish Symposium on Artificial Intelligence and Artificial Neaural Networks (TAINN'05), Izmir, Turkey (June 16-17, 2005), 46-54, LNAI 3949 Springer-Verlag, F.A. Savaci (Ed.), (2006), 168-176. (pdf copy)

• T. Aydin and H. A. Güvenir, Learning Interestingness of Streaming Classification Rules, in: Proceedings of 19th International Symposium on Computer and Information Sciences (ISCIS 2004), Antalya, Turkey (Oct. 27-29, 2004), LNCS 3280, Springer-Verlag, Cevdet Aykanat, Tugrul Dayar and Ibrahim Korpeoglu (Eds.), 62-71. (pdf copy)

• T. Aydin and H. A. Güvenir, Incremental Classification Learning by Using Feature Projections, in Proceedings of the 13th Turkish Symposium on Artificial Intelligence and Artificial Neaural Networks (TAINN'04), Izmir, Turkey (June 10-11, 2004), 129-138. (pdf copy)

• H. A. Güvenir, Benefit Maximization in Classification on Feature Projections, in: Proceedings of the 3rd IASTED International Conference Artificial Intelligence and Applications (AIA'03), Malaga, Spain (Sept. 8-10, 2003), 424-429. (pdf copy)

• Nazli Ikizler and H. A. Güvenir, Maximizing Benefit of Classifications Using Feature Intervals, in: Proceedings of 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2003), Oxford, United Kingdom (Sept. 3-5, 2003), LNAI 2773, Springer-Verlag, Vasile Palade, Robert J. Howlett, Lakhmi Jain (Eds.), Part I, 339-345. (pdf copy)

• Kemal Altintas and H. A. Güvenir, Learning Translation Templates for Closely Related Languages, in: Proceedings of 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2003), Oxford, United Kingdom (Sept. 3-5, 2003), LNAI 2773, Springer-Verlag, Vasile Palade, Robert J. Howlett, Lakhmi Jain (Eds.), Part I, 756-762. (pdf copy)

• Nazli Ikizler and H. A. Güvenir, Feature Dependency in Benefit Maximization: A Case Study in the Evaluation of Bank Loan Applications, in: Proceedings of the Twelfth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2003), Canakkale, Turkey (July 2-4, 2003), 225-233. (pdf copy)

• Tolga Aydin and H. A. Güvenir, Feature Projection Based Rule Classification, in: Proceedings of the Twelfth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2003), Canakkale, Turkey (July 2-4, 2003), 652-661. (pdf copy)

• K. M. Karakaya and H. A. Güvenir, ARG: A Tool for Automatic Report Generation, in: Proceedings of the Eleventh Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2002), S. Arik and O. N. Ucan (Eds.), Istanbul, Turkey (June 20-21, 2002), 151-160. (pdf copy)

• H. A. Güvenir and B. Acar, Feature Selection using a Genetic Algorithm for the Detection of Abnormal ECG Recordings, in: Proceedings of the World Conference on Systemics, Cybernetics and Informatics (ISAS/SCI 2001), Orlando, Florida (July 22-25, 2001), 437-442. (pdf copy)

• H. A. Güvenir, Detection of Abnormal ECG Recordings using Feature Intervals, in: Proceedings of the Tenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2001), A. Acan, I. Aybay, and M. Salamah (Eds.), Gazimagusa, T.R.N.C. (June 2001), 265-274. (pdf copy)

• N. Ikizler and H. A. Güvenir, Mining Intersting Rules in Bank Loans Data, in: Proceedings of the Tenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2001), A. Acan, I. Aybay, and M. Salamah (Eds.), Gazimagusa, T.R.N.C. (June 2001), 238-246. (pdf copy)

• S. A. Özel and H. A. Güvenir, An Algorithm for Mining Association Rules Using Perfect Hashing and Database Pruning, in: Proceedings of the Tenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2001), A. Acan, I. Aybay, and M. Salamah (Eds.), Gazimagusa, T.R.N.C. (June 2001), 257-264. (pdf copy)

• F. Kutlu and H. A. Güvenir, Categorization in a Hierarchically Structured Text Database, in: Proceedings of the Tenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2001), A. Acan, I. Aybay, and M. Salamah (Eds.), Gazimagusa, T.R.N.C. (June 2001), 218-227. (pdf copy)

• T. Yilmaz and H. A. Güvenir, Analysis and Presentation of Interesting Rules, in: Proceedings of the Tenth Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2001), A. Acan, I. Aybay, and M. Salamah (Eds.), Gazimagusa, T.R.N.C. (June 2001), 247-256. (pdf copy)

• T. Aydin and H. A. Güvenir, An Eager Regression Method Based on Best Feature Projections, in Proceedings of 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2001), LNAI 2070, Springer-Verlag, Jozsef Vancza and Moonis Ali (Eds.), Budapest, Hungary, (June 4-7, 2001), 217-226. (pdf copy)

• T. Aydin and H. A. Güvenir, An Eager Regression Method Based on Selecting Appropriate Features in Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2001), AAAI Press, Ingrid Russell and John Kolen (Eds.), Key West, Florida, USA, (May 21-23, 2001), 361-366.

• T. Aydin and H. A. Güvenir, Regression by Selecting Appropriate Features, in Proceedings of TAINN'2000, Izmir, (June 21-23, 2000), 73-82. (pdf copy)

• I. Uysal and H. A. Güvenir, Regression by Feature Projections, in Proceedings of 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'99), Springer-Verlag, LNAI 1704, Jan. M. Zytkow and Jan Rauch (Eds.), Prague, Czech Republic, (September 15-18, 1999), 568-573. (pdf copy) (link to publisher)

• H. A. Güvenir, S. Altingovde, I. Uysal and E. Erel, Bankruptcy Prediction Using Feature Projection Based Classification, in Proceedings of SCI/ISAS'99, Orlando, Florida, (July 31 - August 4, 1999), 108-113. (pdf copy)

• N. Emeksiz and H. A. Güvenir, Application of Machine Learning Techniques to Differential Diagnosis of Erythemato-Squamous Diseases, in Proceedings of SCI/ISAS'99, Orlando, Florida, (July 31 - August 4, 1999), Vol. IX, 59-66. (pdf copy)

• I. Uysal and H. A. Güvenir, An Application of Inductive Learning for Mining Basket Data, in Proceedings of TAINN'99, Istanbul, (June 23-25, 1999), 30-39. (pdf copy)

• T. Yavuz and H. A. Güvenir, Application of k-Nearest Neighbor on Feature Projections Classifier to Text Categorization, in Advances in Computer and Information Sciences'98 (Proceedings of the 13th International Symposium on Computer and Information Sciences - ISCIS'98) U. Güdükbay, T. Dayar, A. Gürsoy, E. Gelenbe (Eds.), Antalya, Turkey, (Oct. 26-28, 1998), 135-142. (pdf copy)

• H. A. Güvenir, A Classification Learning Algorithm Robust to Irrelevant Features, in Artificial Intelligence: Methodology, Systems Applications (Proceedings of AIMSA'98), Fausto Giunchiglia (Ed.), Springer-Verlag, LNAI 1480, Sozopol, Bulgaria, (Sept. 21-23, 1998), 281-290. (pdf copy, Link to publisher)

• H. A. Güvenir, B. Acar, G. Demiröz, A. Cekin, A Supervised Machine Learning Algorithm for Arrhythmia Analysis, in Computers in Cardiology 1997, Vol. 24, Sweden, (Sept. 7-10, 1997), 433-436. (pdf copy) DOI: 10.1109/CIC.1997.647926

• H. A. Güvenir and A. Akkus, Weighted K Nearest Neighbor Classification on Feature Projections, in Proceedings of the Twelfth International Symposium on Computer and Information Sciences (ISCIS XII) S. Kuru, M.U. Caglayan and H.L. Akin (Eds.), Antalya, Turkey, (Oct. 27-29, 1997), 44-51. (pdf copy)

• A. Fatholahzadeh, and H. A. Güvenir, Verb Instantiation by Concept Coherence and Refinement, in Proceedings of the Second International Conference: Recent Advances In Natural Language Processing (RANLP-97), Ruslan Milkov, Nicolas Nicolov and Nilokai Nikolov (Eds.), Tzigov Chark, Bulgaria, (Sept. 11-13, 1997), 252-257. (pdf copy)

• G. Demiröz, H. A. Güvenir, and N. Ilter, Differential Diagnosis of Eryhemato-Squamous Diseases using Voting Feature Intervals, in New Trends in Artificial Intelligence and Neural Networks (Proceedings of TAINN'97), Turhan Ciftcibasi, Mustafa Karaman and Volkan Atalay (Eds.), Kizilcahamam, Ankara, (May 22-23, 1997), 190-194. (pdf copy)

• G. Demiröz, and H. A. Güvenir, Classification by Voting Feature Intervals, in Proceedings of 9th European Conference on Machine Learning (ECML-97), Maarten van Someren and Gerhard Widmer (Eds.) Springer-Verlag, LNAI 1224, Prague, Czech Republic, (April 23-25, 1997), 85-92. (postscript copy, pdf copy)

• H. A. Güvenir, and I. Cicekli, Learning Translation Templates from Examples, in Proceedings of the Sixth Annual Workshop on Information Technologies & Systems (WITS'96), Arun Sen & George Ernst (Eds.) Cleveland OH, U.S.A. (December 14-15, 1996), 112-121. (pdf copy)

• G. Demiröz, and H. A. Güvenir, Genetic Algorithms to Learn Feature Weights for the Nearest Neighbor Algorithm, in Proceedings of the 6th Belgian-Dutch Conference on Machine Learning (BENELEARN-96), H. J. van den Herik and T. Weijters (Eds.), Universiteit Maastricht, The Netherlands, (September 20, 1996), 117-126. (pdf copy)

• H. Altay Güvenir, and Ilyas Cicekli, Learning Translation Templates from Biligual Texts, in Artificial Intelligence: Methodology, Systems Applications (Proceedings of AIMSA'96, Sozopol, Bulgaria, September 18-20, 1996) A. M. Ramsay (Ed.), IOS Press, 3-11. (pdf copy)

• Ilyas Cicekli, and H. Altay Güvenir, Learning Translation Rules from A Bilingual Corpus, in Proceedings of the Second International Conference on New Methods in Language Processing (NeMLaP-2), Kemal Oflazer and Harold Somers (Eds.), Ankara, Turkey, (16-18, Sept, 1996), 90-97. (pdf copy)

• Aynur Akkus, and H. Altay Güvenir, K Nearest Neighbor Classification on Feature Projections, in Proceedings of ICML'96, Lorenza Saitta (Ed.), Morgan Kaufmann, Bari, Italy, (3-6, July, 1996), 12-19. (pdf copy)

• G. Tur, and H. A. Güvenir, Decision Tree Induction Using Genetic Programming, in Proceedings of the Fifth Turkish Symposium on Artificial Intelligence and Neural Networks, E. Alpaydin, U. Cilingiroglu, F. Gurgen, C. Guzelis (Eds.), Istanbul Technical University, Istanbul, (June 27-28, 1996), 187-196. (pdf copy)

• H. Altay Güvenir, and Aysegul Tunc, Corpus-Based Learning of Generalized Parse Tree Rules for Translation, in New Directions in Artificial Intelligence: Proceedings of the 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, Gord McCalla (Ed.) Springer-Verlag, LNAI 1081, Toronto, Ontario, Canada, (May 22-24, 1996), 121-131. (link to publisher)

• Taner Sumer, and H. Altay Güvenir, Use of Pre-splitting Techniques as an Alternative Approach to Cost Optimisation in Tunnel Excavation, in Proceedings of EXPLO'95 Conference, Brisbane, Australia, (4-7 September 1995), 383-386.

• H. Altay Güvenir, A Genetic Algorithm for Multicriteria Inventory Classification , in Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, Ales, France, (April 1995), Springer-Verlag, Wien, 6-9. (pdf copy)

• T. Aytekin, E. E. Korkmaz, and H. A. Güvenir, An Application of Genetic Programming to the 4-Op Problem using Map-trees, in Progress in Evolutionary Computation LNAI 956, Xin Yao (Ed.) Springer, (1995) 28-40. (Also in Proceedings of the Workshop on Evolutionary Computation in association with 7th Australian Joint Conference on Artificial Intelligence, Xin Yao (Ed.), University of New England, Armidale, Australia, (21-22 November, 1994), 28-40.) (pdf copy)

• H. Gulay Ünsal and H. Altay Güvenir, Learning Soil Classification Using CFP, in Proceedings of the Third Turkish Symposium on Artificial Intelligence and Neural Networks, C. Bozsahin, U. Halici, K. Oflazer, N. Yalabik (Eds.), Middle East Technical University, Ankara, (June 1994), pp. 257-265. (pdf copy)

• H. Altay Güvenir and Kemal Oflazer, Using a Corpus to Teach Turkish Morphology, in Proceedings of the Seventh Twente Workshop on Language Technology , Enschede, The Netherlands, (June 1994), pp. 17-22. (pdf copy)

• Faruk Polat and H. Altay Güvenir, A Conflict Resolution Based Decentralized Multi-Agent Problem Solving Model, in Artificial Social Systems LNAI Vol. 830, (4th European Workshop on Modelling Autonomous Agenets in a Multi-Agent World, MAAMAW'92, S. Martino al Cimino, Italy, July 1992, Selected Papers), C. Castelfranchi, E. Werner (Eds.), Springer-Verlag, Berlin, (1994), pp. 279-294.

• Izzet Sirin and H. Altay Güvenir, Empirical Evaluation of the CFP Algorithm, in Proceedings of the Sixth Australian Joint Conference on Artificial Intelligence, Melbourne, Australia, C. Rowles, H. Liu, N. Foo (Eds.), World Scientific, (November, 1993), pp. 311-315. (pdf copy)

• H. Altay Güvenir and Izzet Sirin, Complexity of the CFP, A Method for Classification Based on Feature Partitioning, in Advances in Artificial Intelligence, LNAI Vol. 728, (Proceedings of the Third Congress of the Italian Association for Artificial Intelligence, AI*IA'93, Torino, Italy, October, 1993) P. Torasso (Ed.), Springer-Verlag, Berlin, (1993), pp. 202-207. (pdf copy)

• H. Altay Güvenir and Izzet Sirin, A Genetic Algorithm for Classification by Feature Partitioning, in Proceedings of the Fifth International Conference on Genetic Algorithms, S. Forrest, (Ed.), Urbana-Champaign, IL: Morgan Kaufmann, (July, 1993), 543-548. (pdf copy)

• Izzet Sirin and H. Altay Güvenir, Prediction of Stock Market Index Changes, in Adaptive Intelligent Systems, Proceedings of the BANKAI Workshop, Brussels, Belgium, 12 -14 October 1992, S.W.I.F.T. (Ed.), Elsevier Science Publishers B. V., Amsterdam, (1993), 149-160. (Google Books) (pdf copy)

• Faruk Polat and H. Altay Güvenir, Dagitik Uzman Tasarim Sistemi, in 9. Ulusal Bilisim Kurultayi Bildiriler Kitabi Istanbul, (September 1992), 261-266.

• Faruk Polat and H. Altay Güvenir, A Distributed Expert System Architecture, in 1. Turk Yapay Zeka ve Yapay Sinir Aglari Sempozyumu Bildiriler Kitabi, Ankara, (June 1992), 219-226.

• Faruk Polat and H. Altay Güvenir, A Conflict Resolution Based Cooperative Distributed Problem Solving Model, in Proceedings of AAAI-92, (1992), 106-115.

• Emel Cankat, and H. Altay Güvenir, Alternate strategies for tutorial modules in intelligent tutoring systems, in Proceedings of the 1992 Engineering Systems Design and Analysis Conference, Istanbul, Turkey, (29 June - 3 July 1992)