Items where Subject is "Computer sciences > Artificial intelligence > Machine learning"

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Number of items at this level: 89.

A

Antonucci, Alessandro and Corani, Giorgio (2016) The multilabel naive credal classifier. International Journal of Approximate Reasoning, 83. pp. 320-336.

Antonucci, Alessandro and Corani, Giorgio and Bernaschina, Sandra (2012) Active learning by the naive credal classifier. In: Communications in Computer and Information Science, Advances in Computational Intelligence UNSPECIFIED, Granada (Spain).

Antonucci, Alessandro and Corani, Giorgio and Mauá, Denis Deratani and Bernaschina, Sandra (2013) An ensemble of Bayesian networks for multilabel classification. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13).

Azzimonti, Dario Filippo and Ginsbourger, David and Chevalier, Clément and Bect, Julien and Richet, Yann (2021) Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics, 63 (1). pp. 13-26. ISSN 0040-1706

Azzimonti, Dario Filippo and Rottondi, Cristina and Giusti, Alessandro and Tornatore, Massimo and Bianco, Andrea (2021) Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited]. Journal of Optical Communications and Networking, 13 (1). A56. ISSN 1943-0620

Azzimonti, Laura and Corani, Giorgio and Zaffalon, Marco (2017) Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. In: 2017 IEEE International Conference on Data Mining (ICDM), 18.11.2017-21.11.2017, New Orleans - USA.

Azzimonti, Laura and Corani, Giorgio and Zaffalon, Marco (2019) Hierarchical estimation of parameters in Bayesian networks. Computational Statistics and Data Analysis, 137. pp. 67-91.

B

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2023) Bayesian Optimization For Choice Data. In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation UNSPECIFIED.

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2020) Skew Gaussian processes for classification. Machine Learning, 109 (9-10). pp. 1877-1902. ISSN 0885-6125

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2021) A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Machine Learning, 110 (11-12). pp. 3095-3133. ISSN 0885-6125

Benavoli, Alessio and Corani, Giorgio and Demšar, Janez and Zaffalon, Marco (2017) Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. Journal of Machine Learning Research, 18 (77). pp. 1-36.

Benavoli, Alessio and Corani, Giorgio and Mangili, Francesca (2016) Should we really use post-hoc tests based on mean-ranks? Journal of Machine Learning Research, 17 (5). pp. 1-10.

Berjano, Pedro and Langella, Francesco and Ventriglia, Luca and Compagnone, Domenico and Barletta, Paolo and Huber, David and Mangili, Francesca and Licandro, Ginevra and Galbusera, Fabio and Cina, Andrea and Bassani, Tito and Lamartina, Claudio and Scaramuzzo, Laura and Bassani, Roberto and Brayda-Bruno, Marco and Villafañe, Jorge Hugo and Monti, Lorenzo and Azzimonti, Laura (2021) The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine, 11 (12). p. 1377. ISSN 2075-4426

Bussolan, Andrea and Baraldo, Stefano and Gambardella, Luca Maria and Valente, Anna (2023) Assessing the Impact of Human-Robot Collaboration on Stress Levels and Cognitive Load in Industrial Assembly Tasks. In: UNSPECIFIED. (In Press)

C

Cominola, Andrea and Giuliani, Matteo and Piga, Dario and Castelletti, Andrea and Rizzoli, Andrea Emilio and Anda, Martin (2015) Modelling Residential Water Consumers ' Behaviors By Feature Selection and Feature Weighting. In: E-proceedings of the 36th IAHR World Congress The 36th IAHR World Congress.

Corani, Giorgio (2005) Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning. Ecological Modelling, 185 (2-4). pp. 513-529. ISSN 0304-3800

Corani, Giorgio and Abellán, Joacquin and Masegosa, Andres and Moral, Serafin and Zaffalon, Marco (2014) Classification. In: Augustin, Thomas and Coolen, Frank and De Cooman, Gert and Troffaes, Mattias, (eds.) Introduction to Imprecise Probabilities. Wiley, pp. 261-285.

Corani, Giorgio and Antonucci, Alessandro (2014) Credal Ensembles of Classifiers. Computational Statistics & Data Analysis, 71. pp. 818-831. ISSN 0167-9473

Corani, Giorgio and Benavoli, Alessio (2010) Restricting the IDM for classification. In: Information Processing and Management of Uncertainty in Knowledge-based Systems. Theory and Methods. Communications in Computer and Information Science, 80 . Springer, Berlin / Heidelberg, pp. 328-337. ISBN 978-3-642-14054-9

Corani, Giorgio and Benavoli, Alessio and Demšar, Janez and Mangili, Francesca and Zaffalon, Marco (2017) Statistical comparison of classifiers through Bayesian hierarchical modelling. Machine Learning.

Corani, Giorgio and De Campos, Cassio Polpo (2010) A tree augmented classifier based on extreme imprecise Dirichlet model. International Journal of Approximate Reasoning, 51 (9). pp. 1053-1068. ISSN 0888-613X

Corani, Giorgio and Edgar, Chris and Marshall, Isabelle and Wesnes, Keith and Zaffalon, Marco (2006) Classification of dementia types from cognitive profiles data. In: Knowledge Discovery in Databases: PKDD 2006 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, 18.09.2006-22.09.2006, Berlin, Germany.

Corani, Giorgio and Gatto, Marino (2006) Model selection in demographic time series using VC-bounds. Ecological Modelling, 191 (1). pp. 186-195. ISSN 0304-3800

Corani, Giorgio and Gatto, Marino (2006) VC-dimension and structural risk minimization for the analysis of nonlinear ecological models. Applied mathematics and computation, 176 (1). pp. 166-176. ISSN 0096-3003

Corani, Giorgio and Giusti, Alessandro and Migliore, Davide and Schmidhuber, Juergen (2010) Robust texture recognition using credal classifiers. In: Proceedings of the British Machine Vision Conference, 31.08.2010-03.09.2010, Aberystwyth.

Corani, Giorgio and Guariso, Giorgio (2005) Coupling fuzzy modeling and neural networks for river flood prediction. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35 (3). pp. 382-390. ISSN 2168-2216

Corani, Giorgio and Guariso, Giorgio (2005) An application of pruning in the design of neural networks for real time flood forecasting. Neural Computing & Applications, 14 (1). pp. 66-77. ISSN 0941-0643

Corani, Giorgio and Magli, Cristina and Giusti, Alessandro and Gianaroli, Luca and Gambardella, Luca Maria (2013) A Bayesian network model for predicting pregnancy after in vitro fertilization. Computers in Biology and Medicine, 43 (11). pp. 1783-1792. ISSN 0010-4825

Corani, Giorgio and Mignatti, Andrea (2013) Credal model averaging of logistic regression for modeling the distribution of marmot burrows. In: Proceedings ISIPTA '13 (the Eighth International Symposium on Imprecise Probability: Theories and Applications). SIPTA (Society for Imprecise Probability: Theory and Applications), pp. 233-243.

Corani, Giorgio and Mignatti, Andrea (2015) Robust Bayesian model averaging for the analysis of presence–absence data. Environmental and Ecological Statistics, 22 (3). pp. 513-534. ISSN 1352-8505

Corani, Giorgio and Rizzoli, Andrea Emilio and Salvetti, Andrea and Zaffalon, Marco (2009) Reproducing human decisions in reservoir management: the case of lake lugano. In: Information Technologies in Environmental Engineering. Springer, Berlin / Heidelberg, pp. 252-263.

Corani, Giorgio and Zaffalon, Marco (2008) Credal model averaging: an extension of Bayesian model averaging to imprecise probabilities. In: Machine Learning and Knowledge Discovery in Databases 2008 European Conference on Machine Learning and Knowledge Discovery in Databases, 15.09.2008-19.08.2008, Antwerp, Belgium.

Corani, Giorgio and Zaffalon, Marco (2008) JNCC2: an extension of naive Bayes classifier suited for small and incomplete data sets. Environmental Modelling & Software, 23 (7). pp. 960-961. ISSN 1364-8152

Corani, Giorgio and Zaffalon, Marco (2008) JNCC2: the Java implementation of naive credal classifier 2. Journal of Machine Learning Research, 9. pp. 2695-2698. ISSN 1533-7928

Corani, Giorgio and Zaffalon, Marco (2009) Lazy naive credal classifier. In: 1st ACM SIGKDD Workshop on Knowledge Discovery From Uncertain Data, 28.06.2009-01.07.2009, Paris, France.

Corani, Giorgio and Zaffalon, Marco (2008) Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. Journal of Machine Learning Research, 9. pp. 581-621. ISSN 1533-7928

Corani, Giorgio and Zaffalon, Marco (2008) Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. In: International Conference on Data Mining 2008 (DMIN '08), 14.07.2008-17.07.2008, USA.

D

De Campos, Cassio Polpo and Corani, Giorgio and Scanagatta, Mauro and Cuccu, Marco and Zaffalon, Marco (2015) Learning extended tree augmented naive structures. International Journal of Approximate Reasoning.. (In Press)

F

Feo Flushing, Eduardo and Kudelski, Michal and Nagi, Jawad and Gambardella, Luca Maria and Di Caro, Gianni (2014) Poster Abstract: Link Quality Estimation—A Case Study for On-line Supervised Learning in Wireless Sensor Networks. In: Real-World Wireless Sensor Networks 5th Workshop on Real-World Wireless Sensor Networks (REALWSN), September 19-20, 2013, Como Lake, Italy.

Ferrari, Alan and Galli, Vanni and Puccinelli, Daniele and Giordano Cremonese, Silvia (2017) On the usage of smart devices to augment the user interaction with multimedia applications. In: A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2017 IEEE 18th International Symposium on.

Fiorillo, Luigi and Favaro, Paolo and Faraci, Francesca Dalia (2021) Deepsleepnet-lite: A simplified automatic sleep stage scoring model with uncertainty estimates. IEEE transactions on neural systems and rehabilitation engineering, 29. pp. 2076-2085.

Fiorillo, Luigi and Monachino, Giuliana and van der Meer, Julia and Pesce, Marco and Warncke, Jan D and Schmidt, Markus H and Bassetti, Claudio LA and Tzovara, Athina and Favaro, Paolo and Faraci, Francesca D (2023) U-Sleep’s resilience to AASM guidelines. NPJ digital medicine, 6 (1). p. 33.

Fiorillo, Luigi and Puiatti, Alessandro and Papandrea, Michela and Ratti, Pietro-Luca and Favaro, Paolo and Roth, Corinne and Bargiotas, Panagiotis and Bassetti, Claudio L and Faraci, Francesca D (2019) Automated sleep scoring: A review of the latest approaches. Sleep medicine reviews, 48. p. 101204.

Fraternali, Piero and Herrera, S. and Novak, Jasminko and Melenhorst, Mark and Tzovaras, D. and Krinidis, S. and Rizzoli, Andrea Emilio and Rottondi, Cristina and Cellina, Francesca (2017) EnCOMPASS - An integrative approach to behavioural change for energy saving. In: GIoTS 2017 - Global Internet of Things Summit, Proceedings GIoTS 2017 - Global Internet of Things Summit.

G

Giusti, Alessandro and Guzzi, Jerome and Dan, Ciresan and Fang-Lin, He and Juan, Rodriguez and Flavio, Fontana and Matthias, Faessler and Christian, Forster and Juergen, Schmidhuber and Di Caro, Gianni and Davide, Scaramuzza and Gambardella, Luca (2015) A machine learning approach to visual perception of forest trails for mobile robots. IEEE Robotics and Automation Letters, 1 (2). pp. 661-667.

Giusti, Alessandro and Salani, Matteo and Di Caro, Gianni and Rizzoli, Andrea Emilio and Gambardella, Luca Maria (2014) Restricted neighborhood communication improves decentralized demand-side Load management. IEEE Transactions on Smart Grids, 5 (1). pp. 84-91. ISSN 1949-3053

H

Huber, David and Cabañas, Rafael and Antonucci, Alessandro and Zaffalon, Marco (2020) CREMA: A Java Library for Credal Network Inference. In: Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020) UNSPECIFIED.

K

Kania, Lucas and Schürch, Manuel and Azzimonti, Dario Filippo and Benavoli, Alessio (2021) Sparse Information Filter for Fast Gaussian Process Regression. In: Machine Learning and Knowledge Discovery in Databases. Research Track. Springer, pp. 527-542.

Koutnik, Jan and Cuccu, Giuseppe and Schmidhuber, Juergen and Gomez, Faustino (2013) Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 6-10/07/2013, Amsterdam.

Koutnik, Jan and Cuccu, Giuseppe and Schmidhuber, Juergen and Gomez, Faustino (2013) Evolving Large-Scale Neural Networks for Vision-Based TORCS. In: Foundations of Digital Games, 14-17/05/2013, Chania, Crete.

L

Landoni, Fabio and Barberis, Olmo and Corti, Giancarlo and Chiarabini, Luca and Puccinelli, Daniele and Vosti, Davide and Pedrazzini, Sandro (2022) Document classification and information extraction for workflow selection. In: SwissText 2022, Swiss Text Analytics Conference, June 8-10, 2022, Lugano. (Unpublished)

Leitner, Juergen (2009) Robot Formations for Area Coverage. In: ICIRA.

Leitner, Juergen and Harding, Simon and Frank, Mikhail Alexander and Foerster, Alexander Uwe and Schmidhuber, Juergen (2012) Towards Spatial Perception: Learning to Locate Objects From Vision. In: Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition.

M

Mangili, Francesca and Antonucci, Alessandro and Poulopoulou, Maria Fani and Werlen, Egon and Bergamin, Per (2018) Machine Learning for Real-Time Analysis of Reader Attention by Facial Expression and Eye Tracking Data. In: ndustrial Applied Data Science, 18-19 October 2018, Lugano. (Unpublished)

Meystre, Stephane M. and Heider, Paul (2023) High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution. Studies in Health Technology and Informatics. ISSN 09269630

Meystre, Stephane M. and Heider, Paul M and Kim, Youngjun and Davis, Matthew and Obeid, Jihad and Madory, James and Alekseyenko, Alexander V (2021) Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. Journal of the American Medical Informatics Association, 29 (1). pp. 12-21. ISSN 1527-974X

Meystre, Stephane M. and Heider, Paul M. and Cates, Andrew and Bastian, Grace and Pittman, Tara and Gentilin, Stephanie and Kelechi, Teresa J. (2023) Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models. BMC Medical Research Methodology, 23 (1). ISSN 1471-2288

Meystre, Stephane M. and Parra Calderon, C L and Newman-Griffis, D and Bellazzi, R (2023) Responsible Artificial Intelligence: A Need for Healthcare Applications. In: Medical Informatics Europe (MIE) 2023.

Meystre, Stephane M. and Underwood, G and Heider, P (2023) CliniDeID, an Open Source Solution for Accurate Clinical Text De-Identification. In: Medical Informatics Europe (MIE) 2023.

Meystre, Stephane M. and Underwood, G and Heider, P (2023) Clinical Text De-identification with a Free and Open-Source Tool (CliniDeID). In: AMIA Annu Symp Proc.

Meystre, Stephane M. and Wang, Y and Roberts, K and Tseng, V and Hersh, W R (2023) Generative Applications of Large Language Models for Medical Education and Knowledge Searching: Shall We Count on ChatGPT and Co? In: AMIA Annu Symp Proc.

Meystre, Stephane M. and van Stiphout, Ruud and Goris, Annelies and Gaitan, Santiago (2023) AI-Based Gut-Brain Axis Digital Twins. Studies in Health Technology and Informatics, 302. ISSN 09269630

N

Nespoli, Lorenzo (2019) Model based forecasting for demand response strategies. PhD thesis, EPFL.

Nespoli, Lorenzo and Medici, Vasco and Lopatichki, Kristijan and Sossan, Fabrizio (2019) Hierarchical Demand Forecasting Benchmark for the Distribution Grid. In: PSCC2020. (Submitted)

P

Pedrazzini, Sandro and Keibel, Holger (2022) Integrating ML-based Classifiers into an Enterprise Search System. In: SwissText 2022, June 8-10 2022, Lugano. (Submitted)

Patuzzo, Fabrizio (2020) A comparison of classical and variational autoencoders for anomaly detection. Technical Report arxiv , Manno.

Perani, Martina and Ralf, Jandl and Baraldo, Stefano and Valente, Anna and Paoli, Beatrice (2023) Long-short term memory networks for modeling track geometry in laser metal deposition. Frontiers in Artificial Intelligence, 6.

Piga, Dario and Cominola, Andrea and Giuliani, Matteo and Castelletti, Andrea and Rizzoli, Andrea Emilio (2016) Sparse Optimization for Automated Energy End Use Disaggregation. IEEE Transactions on Control Systems Technology, 24 (3). pp. 1044-1051. ISSN 1063-6536

R

Ravasi, Damiana and Mangili, Francesca and Huber, David and Azzimonti, Laura and Engeler, Lukas and Vermes, Nicola and Del Rio, Giacomo and Guidi, Valeria and Tonolla, Mauro and Flacio, Eleonora (2022) Risk-based mapping tools for surveillance and control of the invasive mosquito Aedes albopictus in Switzerland. International Journal of Environmental Research and Public Health, 19. p. 3220. ISSN 1660-4601

Ravasi, Damiana and Mangili, Francesca and Huber, David and Cannata, Massimiliano and Strigaro, Daniele and Flacio, Eleonora (2022) The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictus. Scientific Reports, 12. ISSN 2045-2322

Rigano, Alessandro and Galli, Vanni and Gonciarz, Krzysztof and Sbalzarini, Ivo F and Strambio-De-Castillia, Caterina (2018) An algorithm-centric Monte Carlo method to empirically quantify motion type estimation uncertainty in single-particle tracking. bioRxiv. p. 379255.

Rivola, Davide and Giusti, Alessandro and Rizzoli, Andrea Emilio and Rudel, Roman and Gambardella, Luca Maria and Salani, Matteo (2013) A decentralized approach to demand side load management: the Swiss2Grid project. In: Energieinformatik 2013, 11-12 November 2013, Wien, Austria. (In Press)

Roberto, Rocchetta and Lorenzo, Nespoli and Vasco, Medici and Saverio, Basso and Marco, Derboni and Matteo, Salani (2023) Rule-based deep reinforcement learning for optimal control of electrical batteries in an energy community. In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) European Safety and Reliability Conference, 3-September-2023, Southampton.

Rubattu, Nicolò and Maroni, Gabriele and Corani, Giorgio (2024) Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. Advanced Analytics and Learning on Temporal Data, 8th ECML PKDD Workshop, AALTD 2023,. ISSN 0302-9743 (In Press)

S

Sommer, Matthias and Rüegsegger, Michael and Szehr, Oleg and Del Rio, Giacomo (2021) Deep self-optimizing artificial intelligence for tactical analysis, training and optimization. In: UNSPECIFIED.

Sahoo, Satya S and Plasek, Joseph M and Xu, Hua and Uzuner, Özlem and Cohen, Trevor and Yetisgen, Meliha and Liu, Hongfang and Meystre, Stephane M. and Wang, Yanshan (2024) Large language models for biomedicine: foundations, opportunities, challenges, and best practices. Journal of the American Medical Informatics Association. ISSN 1067-5027

Scanagatta, Mauro and Corani, Giorgio and De Campos, Cassio Polpo and Zaffalon, Marco (2018) Approximate structure learning for large Bayesian networks. Machine Learning. ISSN 0885-6125 (In Press)

Scanagatta, Mauro and Corani, Giorgio and Zaffalon, Marco (2017) Improved local search in Bayesian networks structure learning. In: Advanced Methodologies for Bayesian Networks.

Scanagatta, Mauro and Corani, Giorgio and Zaffalon, Marco and Yoo, Jaemin and Kang, U. (2018) Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. International Journal of Approximate Reasoning, 95. 152 - 166. ISSN 0888-613X

Schürch, Manuel and Azzimonti, Dario Filippo and Benavoli, Alessio and Zaffalon, Marco (2023) Correlated product of experts for sparse Gaussian process regression. Machine Learning, 112 (5). pp. 1411-1432. ISSN 0885-6125

Sechidis, K and Azzimonti, Laura and Pocock, A and Corani, Giorgio and Weatherall, J and Brown, G (2019) Efficient feature selection using shrinkage estimators. Machine Learning.

Silvestri, Marco and Fontanesi, S and Carnevale, M (2019) Experimental Results of a Self Learning Compensation System for High Precision Manufacturing. International Journal of Innovative Technology and Exploring Engineering, 9 (11). pp. 2632-2639. ISSN 2632-2639

Srivastava, Rupesh Kumar and Masci, Jonatan and Kazerounian, Sohrob and Gomez, Faustino and Schmidhuber, Juergen (2013) Compete to compute. In: Advances in Neural Information Processing Systems Neural Information Processing Systems 2013.

Stollenga, Marijn and Pape, Leonard and Frank, Mikhail Alexander and Leitner, Juergen and Foerster, Alexander Uwe and Schmidhuber, Juergen (2013) Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning. In: Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on.

Strepparava, Davide and Nespoli, Lorenzo and Medici, Vasco and Corbellini, Gianluca and Rivola, Davide (2018) OpTIStore: An Exhaustive Tool For The Optimal Design And Sizing Of Combined PV-Storage Systems In Industrial Buildings. In: IRES 2018, 13-15 Mar 2018, Düsseldorf, Germany.

V

Vescovi, Andrea and Piga, Dario and Cominola, Andrea (2016) Online processing of energy and water consumption data to deliver end use characterisation. In: 8th International Congress on Environmental Modelling and Software 8th International Congress on Environmental Modelling and Software, Toulouse.

Z

Zambon, Lorenzo and Agosto, Arianna and Giudici, Paolo and Corani, Giorgio (2024) Properties of the reconciled distributions for Gaussian and count forecasts. International Journal of Forecasting.

Zanchi, Beatrice and Faraci, Francesca Dalia and Gharaviri, Ali and Bergonti, Marco and Monga, Thomas and Auricchio, Angelo and Conte, Giulio (2023) Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach. EP Europace.

Zanchi, Beatrice and Faraci, Francesca Dalia and Gharaviri, Ali and Bergonti, Marco and Monga, Tomas and Auricchio, Angelo and Conte, Giulio (2023) Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach. Europace, 25 (11). ISSN 1099-5129

This list was generated on Tue May 21 12:26:41 2024 CEST.