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Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Constantine D. Spyropoulos, Clustering the Users of Large Web Sites into Communities, In 17th International Conference on Machine Learning (ICML) 2000, Stanford, CA, USA, June 29-July 2, (Pages: 719–726), 2000. [url]

Konstantinos Chandrinos, Ion Androutsopoulos, Georgios Paliouras, Constantine D. Spyropoulos, Automatic Web Rating: Filtering Obscene Content on the Web, In 4th European Conference on Research and Advanced Technology for Digital Libraries (ECDL) 2000, Lisbon, Portugal, September 18-20, (Pages: 403–406), 2000. [url] [doi]

Pallis, E, Alexandridis, AA, Pantos, G, Kourtis, A and Constantinou, Ph, Provision of true VoD services via a broadband wireless networking infrastructure, In 4th WORLD MULTICONFERENCE ON Circuits, Systems, Communications & Computers (CSCC 2000), (Pages: 10–15), 2000.

Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis, Georgios Sakkis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos, Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach, In Workshop on Machine Learning and Textual Information Access at the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2000, Lyon, France, September 13-16, (Pages: 1-13), 2000. [pdf]

Georgios Paliouras, Vangelis Karkaletsis, Georgios Petasis, Constantine D. Spyropoulos, Learning decision trees for named-entity recognition and classification, In Workshop on Machine Learning for Information Extraction at the European Conference in Artificial Intelligence (ECAI) 2000, Berlin, Germany, August 20-25, 2000. [pdf]

S.J. Perantonis, N. Ampazis and S. Spirou, Training feedforward neural networks with the Dogleg method and BFGS Hessian updates, In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, IEEE, (Pages: 138-143), 2000. [url] [doi]

Stavros J. Perantonis and Sergios Petridis and Vassilis Virvilis, Supervised Principal Component Analysis Using a Smooth Classifier Paradigm, In 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000, IEEE Computer Society, (Pages: 2109–2112), 2000. [url] [doi]

Stavros J. Perantonis and Nikolaos Ampazis and Vassilis Virvilis, A Learning Framework for Neural Networks Using Constrained Optimization Methods, In Annals Operation of Research, Kluwer Academic Publishers, volume 99, (Pages: 385–401), 2000. [url] [doi]

Stavros J. Perantonis and Vassilis Virvilis, Efficient perceptron learning using constrained steepest descent, In Neural Networks, volume 13, (Pages: 351–364), 2000. [url] [doi]

Nikolaos Ampazis and Stavros J. Perantonis, Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks, In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, IEEE Computer Society, (Pages: 126–131), 2000. [url] [doi]

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