Róbert Busa-Fekete

Proceedings of the Speech and Computer - 24th International Conference, 2022

Regret Bounds for Multilabel Classification in Sparse Label Regimes.

[BibT_eX]

[DOI]

Heejin Choi

Claudio Gentile

Henry Reeve

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Private and Communication-Efficient Algorithms for Entropy Estimation.

[BibT_eX]

[DOI]

Gecia Bravo Hermsdorff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Ensemble Bag-of-Audio-Words Representation Improves Paralinguistic Classification Accuracy.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Preference-based Online Learning with Dueling Bandits: A Survey.

[BibT_eX]

[DOI]

Viktor Bengs

Adil El Mesaoudi-Paul

J. Mach. Learn. Res., 2021

Private and Non-private Uniformity Testing for Ranking Data.

[BibT_eX]

[DOI]

Dimitris Fotakis

Emmanouil Zampetakis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identity testing for Mallows model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Clustering for Private Interest-based Advertising.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Probabilistic Label Trees for Extreme Multi-label Classification.

[BibT_eX]

[DOI]

Kalina Jasinska-Kobus

Marek Wydmuch

Mikhail Kuznetsov

CoRR, 2020

Learning to Crawl.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Calibrating AdaBoost for phoneme classification.

[BibT_eX]

[DOI]

Soft Comput., 2019

On the computational complexity of the probabilistic label tree algorithms.

[BibT_eX]

[DOI]

CoRR, 2019

Optimal Learning of Mallows Block Model.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2019

2018

Preference-based Online Learning with Dueling Bandits: A Survey.

[BibT_eX]

[DOI]

Adil El Mesaoudi-Paul

CoRR, 2018

Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Ashok Cutkosky

CoRR, 2018

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization.

[BibT_eX]

[DOI]

Akshay Soni

Aasish Pappu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Posterior Calibration for Multi-Class Paralinguistic Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

A no-regret generalization of hierarchical softmax to extreme multi-label classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Stochastic Optimization via Adaptive SGD.

[BibT_eX]

[DOI]

Ashok Cutkosky

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Ranking Distributions based on Noisy Sorting.

[BibT_eX]

[DOI]

Adil El Mesaoudi-Paul

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Multi-objective Bandits: Optimizing the Generalized Gini Index.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Consistency of Probabilistic Classifier Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Determining Native Language and Deception Using Phonetic Features and Classifier Combination.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Extreme F-measure Maximization using Sparse Probability Estimates.

[BibT_eX]

[DOI]

Kalina Jasinska

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online F-Measure Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Assessing the degree of nativeness and parkinson's condition using Gaussian processes and deep rectifier neural networks.

[BibT_eX]

[DOI]

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Qualitative Multi-Armed Bandits: A Quantile-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

A Survey of Preference-Based Online Learning with Bandit Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014

PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Detecting autism, emotions and social signals using adaboost.

[BibT_eX]

[DOI]

László Tóth

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Gossip-based distributed stochastic bandit algorithms.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Top-k Selection based on Adaptive Sampling of Noisy Preferences.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning to Rank Lexical Substitutions.

[BibT_eX]

[DOI]

György Szarvas

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

MULTIBOOST: A Multi-purpose Boosting Package.

[BibT_eX]

[DOI]

Djalel Benbouzid

Norman Casagrande

François-David Collin

J. Mach. Learn. Res., 2012

Fast classification using sparse decision DAGs.

[BibT_eX]

[DOI]

Djalel Benbouzid

Proceedings of the 29th International Conference on Machine Learning, 2012

Peer-to-Peer Multi-class Boosting.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011

Ranking by calibrated AdaBoost.

[BibT_eX]

[DOI]

Proceedings of the Yahoo! Learning to Rank Challenge, 2011

A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Palmprint Classification Using Wavelets and AdaBoost.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2010

Fast boosting using adversarial bandits.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Accelerating AdaBoost using UCB.

[BibT_eX]

[DOI]

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2009

GraphClus, a MATLAB program for cluster analysis using graph theory.

[BibT_eX]

[DOI]

Clifford S. Todd

Tivadar M. Toth

Comput. Geosci., 2009

A One-Class Classification Approach for Protein Sequences and Structures.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

Boosting products of base classifiers.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Tree-Based Algorithms for Protein Classification.

[BibT_eX]

[DOI]

Róbert Istvan Busa-Fekete

Sándor Pongor

Proceedings of the Computational Intelligence in Bioinformatics, 2008

EVOLUTIONARY TREE RECONSTRUCTION AND ITS APPLICATIONS IN PROTEIN CLASSIFICATION

[BibT_eX]

[DOI]

PhD thesis, 2008

Extracting Human Protein Information from MEDLINE Using a Full-Sentence Parser.

[BibT_eX]

[DOI]

Acta Cybern., 2008

2007

Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework.

[BibT_eX]

[DOI]

György Szarvas

Richárd Farkas

J. Am. Medical Informatics Assoc., 2007

Whitening-Based Feature Space Transformations in a Speech Impediment Therapy System.

[BibT_eX]

[DOI]

Proceedings of the Text, Speech and Dialogue, 10th International Conference, 2007

An Automatic Retraining Method for Speaker Independent Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Text, Speech and Dialogue, 10th International Conference, 2007

A Multi-Stack Based Phylogenetic Tree Building Method.

[BibT_eX]

[DOI]

Csaba Bagyinka

Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Counter-Example Generation-Based One-Class Classification.

[BibT_eX]

[DOI]