KL: A Neural Model for Capturing Structure in Speech. - Paolo Frasconi; Marco Gori; Marco Maggini; Giovanni Soda (AI*IA, 1991)

Phonetic recognition experiments with recurrent neural networks. - Piero Cosi; Paolo Frasconi; Marco Gori; N. Griggio (ICSLP, 1992)

Local Feedback Multilayered Networks. - Paolo Frasconi; Marco Gori; Giovanni Soda (Neural Comput., 1992)

The problem of learning long-term dependencies in recurrent networks. - Yoshua Bengio; Paolo Frasconi; Patrice Y. Simard (ICNN, 1993)

Backpropagation for linearly-separable patterns: A detailed analysis. - Paolo Frasconi; Marco Gori; Alberto Tesi (ICNN, 1993)

Credit Assignment through Time: Alternatives to Backpropagation. - Yoshua Bengio; Paolo Frasconi (NIPS, 1993)

Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis. - Marco Gori; Paolo Frasconi; Marco Maggini; Giovanni Soda (ICLP Workshop: Logic and Reasoning with Neural Networks, 1994)

An EM approach to grammatical inference: input/output HMMs. - Paolo Frasconi; Yoshua Bengio (ICPR (2), 1994)

An Input Output HMM Architecture. - Yoshua Bengio; Paolo Frasconi (NIPS, 1994)

Diffusion of Credit in Markovian Models. - Yoshua Bengio; Paolo Frasconi (NIPS, 1994)

Learning long-term dependencies with gradient descent is difficult. - Yoshua Bengio; Patrice Y. Simard; Paolo Frasconi (IEEE Trans. Neural Networks, 1994)

Diffusion of Context and Credit Information in Markovian Models. - Yoshua Bengio; Paolo Frasconi (J. Artif. Intell. Res., 1995)

Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach. - Paolo Frasconi; Marco Gori; Giovanni Soda (Knowl. Based Syst., 1995)

Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. - Paolo Frasconi; Marco Gori; Marco Maggini; Giovanni Soda (IEEE Trans. Knowl. Data Eng., 1995)

Learning in multilayered networks used as autoassociators. - Monica Bianchini; Paolo Frasconi; Marco Gori (IEEE Trans. Neural Networks, 1995)

Learning without local minima in radial basis function networks. - Monica Bianchini; Paolo Frasconi; Marco Gori (IEEE Trans. Neural Networks, 1995)

Decision Trellis Models for Tuple Categorization in Databases. - Paolo Frasconi; Marco Gori; Giovanni Soda (SEBD, 1996)

Representation of Finite State Automata in Recurrent Radial Basis Function Networks. - Paolo Frasconi; Marco Gori; Marco Maggini; Giovanni Soda (Mach. Learn., 1996)

Input-output HMMs for sequence processing. - Yoshua Bengio; Paolo Frasconi (IEEE Trans. Neural Networks, 1996)

Computational capabilities of local-feedback recurrent networks acting as finite-state machines. - Paolo Frasconi; Marco Gori (IEEE Trans. Neural Networks, 1996)

Inductive Inference of Tree Automata by Recursive Neural Networks. - Paolo Frasconi; Marco Gori; Marco Maggini; Enrico Martinelli; Giovanni Soda (AI*IA, 1997)

Logo Recognition by Recursive Neural Networks. - Enrico Francesconi; Paolo Frasconi; Marco Gori; Simone Marinai; Jianqing Sheng; Giovanni Soda; Alessandro Sperduti (GREC, 1997)

Suspiciousness of loading problems. - Paolo Frasconi; Marco Gori; Stefano Fanelli; Marco Protasi (ICNN, 1997)

On the Efficient Classification of Data Structures by Neural Networks. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (IJCAI, 1997)

An Introduction to Learning Structured Information. - Paolo Frasconi (Summer School on Neural Networks, 1997)

Links between LVQ and Backpropagation. - Paolo Frasconi; Marco Gori; Giovanni Soda (Pattern Recognit. Lett., 1997)

Integration of Graphical Rules with Adaptive Learning of Structured Information. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (Hybrid Neural Systems, 1998)

A general framework for adaptive processing of data structures. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (IEEE Trans. Neural Networks, 1998)

A topological transformation for hidden recursive modelsarchitecture networks. - Fabrizio Costa; Paolo Frasconi; Giovanni Soda (ESANN, 1999)

Exploiting the past and the future in protein secondary structure prediction. - Pierre Baldi; Søren Brunak; Paolo Frasconi; Giovanni Soda; Gianluca Pollastri (Bioinform., 1999)

Data Categorization Using Decision Trellises. - Paolo Frasconi; Marco Gori; Giovanni Soda (IEEE Trans. Knowl. Data Eng., 1999)

Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. - Marco Gori; Paolo Frasconi; Alessandro Sperduti (ECAI, 2000)

Learning incremental syntactic structures with recursive neural networks. - Fabrizio Costa; Paolo Frasconi; Vincenzo Lombardo; Giovanni Soda (KES, 2000)

Competitive radial basis functions training for phone classification. - Piero Cosi; Paolo Frasconi; Marco Gori; Luca Lastrucci; Giovanni Soda (Neurocomputing, 2000)

Wide Coverage Incremental Parsing by Learning Attachment Preferences. - Fabrizio Costa; Vincenzo Lombardo; Paolo Frasconi; Giovanni Soda (AI*IA, 2001)

Evaluation Methods for Focused Crawling. - Andrea Passerini; Paolo Frasconi; Giovanni Soda (AI*IA, 2001)

A New Machine Learning Approach to Fingerprint Classification. - Yuan Yao; Gian Luca Marcialis; Massimiliano Pontil; Paolo Frasconi; Fabio Roli (AI*IA, 2001)

Fingerprint Classification by Combination of Flat and Structural Approaches. - Gian Luca Marcialis; Fabio Roli; Paolo Frasconi (AVBPA, 2001)

Fingerprint Classification with Combinations of Support Vector Machines. - Yuan Yao; Paolo Frasconi; Massimiliano Pontil (AVBPA, 2001)

Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. - Michelangelo Diligenti; Paolo Frasconi; Marco Gori (ICAPR, 2001)

Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. - Paolo Frasconi; Giovanni Soda; Alessandro Vullo (JCDL, 2001)

Bidirectional Dynamics for Protein Secondary Structure Prediction. - Pierre Baldi; Søren Brunak; Paolo Frasconi; Gianluca Pollastri; Giovanni Soda (Sequence Learning, 2001)

Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (IEEE Trans. Knowl. Data Eng., 2001)

A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. - Alessandro Vullo; Paolo Frasconi (CSB, 2002)

Enhancing First-Pass Attachment Prediction. - Fabrizio Costa; Paolo Frasconi; Vincenzo Lombardo; Patrick Sturt; Giovanni Soda (ECAI, 2002)

From Margins to Probabilities in Multiclass Learning Problems. - Andrea Passerini; Massimiliano Pontil; Paolo Frasconi (ECAI, 2002)

Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. - Gianluca Pollastri; Pierre Baldi; Alessandro Vullo; Paolo Frasconi (NIPS, 2002)

A two-stage SVM architecture for predicting the disulfide bonding state of cysteines. - Paolo Frasconi; Andrea Passerini; Alessandro Vullo (NNSP, 2002)

Special issue on integration of symbolic and connectionist systems. - Paolo Frasconi; Marco Gori; Franz J. Kurfess; Alessandro Sperduti (Cogn. Syst. Res., 2002)

Hidden Markov Models for Text Categorization in Multi-Page Documents. - Paolo Frasconi; Giovanni Soda; Alessandro Vullo (J. Intell. Inf. Syst., 2002)

Modeling the Internet and the Web: Probabilistic Method and Algorithms - Pierre Baldi; Paolo Frasconi; Padhraic Smyth (John Wiley, 2003)

A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. - Alessio Ceroni; Paolo Frasconi; Andrea Passerini; Alessandro Vullo (AI*IA, 2003)

A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. - Alessandro Vullo; Paolo Frasconi (SAC, 2003)

Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. - Fabrizio Costa; Paolo Frasconi; Vincenzo Lombardo; Giovanni Soda (Appl. Intell., 2003)

Prediction of Protein Coarse Contact Maps. - Alessandro Vullo; Paolo Frasconi (J. Bioinform. Comput. Biol., 2003)

Hidden Tree Markov Models for Document Image Classification. - Michelangelo Diligenti; Paolo Frasconi; Marco Gori (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. - Yuan Yao; Gian Luca Marcialis; Massimiliano Pontil; Paolo Frasconi; Fabio Roli (Pattern Recognit., 2003)

Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. - Alessio Ceroni; Paolo Frasconi; Andrea Passerini; Alessandro Vullo (J. VLSI Signal Process., 2003)

On the role of long-range dependencies in learning protein secondary structure. - Alessio Ceroni; Paolo Frasconi (IJCNN, 2004)

Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure. - Alessio Ceroni; Paolo Frasconi; Alessandro Vullo (WIRN, 2004)

Distributed community crawling. - Fabrizio Costa; Paolo Frasconi (WWW (Alternate Track Papers & Posters), 2004)

Disulfide connectivity prediction using recursive neural networks and evolutionary information. - Alessandro Vullo; Paolo Frasconi (Bioinform., 2004)

New results on error correcting output codes of kernel machines. - Andrea Passerini; Massimiliano Pontil; Paolo Frasconi (IEEE Trans. Neural Networks, 2004)

Guest editorial: Machine learning for the Internet. - Gary William Flake; Paolo Frasconi; C. Lee Giles; Marco Maggini (ACM Trans. Internet Techn., 2004)

Weighted decomposition kernels. - Sauro Menchetti; Fabrizio Costa; Paolo Frasconi (ICML, 2005)

Kernels on Prolog Ground Terms. - Andrea Passerini; Paolo Frasconi (IJCAI, 2005)

Learning protein secondary structure from sequential and relational data. - Alessio Ceroni; Paolo Frasconi; Gianluca Pollastri (Neural Networks, 2005)

Wide coverage natural language processing using kernel methods and neural networks for structured data. - Sauro Menchetti; Fabrizio Costa; Paolo Frasconi; Massimiliano Pontil (Pattern Recognit. Lett., 2005)

Ambiguity resolution analysis in incremental parsing of natural language. - Fabrizio Costa; Paolo Frasconi; Vincenzo Lombardo; Patrick Sturt; Giovanni Soda (IEEE Trans. Neural Networks, 2005)

kFOIL: Learning Simple Relational Kernels. - Niels Landwehr; Andrea Passerini; Luc De Raedt; Paolo Frasconi (AAAI, 2006)

Decomposition Kernels for Natural Language Processing. - Fabrizio Costa; Sauro Menchetti; Alessio Ceroni; Andrea Passerini; Paolo Frasconi (Learning Structured Information@EACL, 2006)

Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. - Sauro Menchetti; Andrea Passerini; Paolo Frasconi; Claudia Andreini; Antonio Rosato (RECOMB, 2006)

Kernel Machines, Neural Networks, and Graphical Models. - Paolo Frasconi; Alessandro Sperduti; Antonina Starita (Intelligenza Artificiale, 2006)

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. - Gianluca Pollastri; Alessandro Vullo; Paolo Frasconi; Pierre Baldi (J. Comput. Biol., 2006)

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. - Andrea Passerini; Paolo Frasconi; Luc De Raedt (J. Mach. Learn. Res., 2006)

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. - Alessio Ceroni; Andrea Passerini; Alessandro Vullo; Paolo Frasconi (Nucleic Acids Res., 2006)

Learning with Kernels and Logical Representations. - Paolo Frasconi (ILP, 2007)

Classification of small molecules by two- and three-dimensional decomposition kernels. - Alessio Ceroni; Fabrizio Costa; Paolo Frasconi (Bioinform., 2007)

Predicting zinc binding at the proteome level. - Andrea Passerini; Claudia Andreini; Sauro Menchetti; Antonio Rosato; Paolo Frasconi (BMC Bioinform., 2007)

Comparing Sequence Classification Algorithms for Protein Subcellular Localization. - Fabrizio Costa; Sauro Menchetti; Paolo Frasconi (Perspectives of Neural-Symbolic Integration, 2007)

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. - Alessandro Vullo; Andrea Passerini; Paolo Frasconi; Fabrizio Costa; Gianluca Pollastri (EvoBIO, 2008)

Feature Discovery with Type Extension Trees. - Paolo Frasconi; Manfred Jaeger; Andrea Passerini (ILP, 2008)

Learning with Kernels and Logical Representations. - Paolo Frasconi; Andrea Passerini (Probabilistic Inductive Logic Programming, 2008)

Markov Logic Improves Protein β-Partners Prediction. - Marco Lippi 001; Paolo Frasconi (MLG@ICML, 2008)

Predicting the Geometry of Metal Binding Sites from Protein Sequence. - Paolo Frasconi; Andrea Passerini (NIPS, 2008)

A semiparametric generative model for efficient structured-output supervised learning. - Fabrizio Costa; Andrea Passerini; Marco Lippi 001; Paolo Frasconi (Ann. Math. Artif. Intell., 2008)

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. - Marco Lippi 001; Andrea Passerini; Marco Punta; Burkhard Rost; Paolo Frasconi (Bioinform., 2008)

A simplified approach to disulfide connectivity prediction from protein sequences. - Marc Vincent; Andrea Passerini; Matthieu Labbé; Paolo Frasconi (BMC Bioinform., 2008)

Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. - Marco Lippi 001; Paolo Frasconi (Bioinform., 2009)

Collective Traffic Forecasting. - Marco Lippi 001; Matteo Bertini; Paolo Frasconi (ECML/PKDD (2), 2010)

Fast learning of relational kernels. - Niels Landwehr; Andrea Passerini; Luc De Raedt; Paolo Frasconi (Mach. Learn., 2010)

Relational Learning for Spatial Relation Extraction from Natural Language. - Parisa Kordjamshidi; Paolo Frasconi; Martijn van Otterlo; Marie-Francine Moens; Luc De Raedt (ILP, 2011)

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. - Mathias Verbeke; Paolo Frasconi; Vincent Van Asch; Roser Morante; Walter Daelemans; Luc De Raedt (ILP, 2011)

Relational information gain. - Marco Lippi 001; Manfred Jaeger; Paolo Frasconi; Andrea Passerini (Mach. Learn., 2011)

MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. - Andrea Passerini; Marco Lippi 001; Paolo Frasconi (Nucleic Acids Res., 2011)

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. - Mathias Verbeke; Vincent Van Asch; Roser Morante; Paolo Frasconi; Walter Daelemans; Luc De Raedt (EMNLP-CoNLL, 2012)

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. - Marco Lippi 001; Andrea Passerini; Marco Punta; Paolo Frasconi (ECML/PKDD (2), 2012)

A Relational Kernel-Based Framework for Hierarchical Image Understanding. - Laura Antanas; Paolo Frasconi; Fabrizio Costa; Tinne Tuytelaars; Luc De Raedt (SSPR/SPR, 2012)

Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010). - Paolo Frasconi; Francesca A. Lisi (Mach. Learn., 2012)

Predicting Metal-Binding Sites from Protein Sequence. - Andrea Passerini; Marco Lippi 001; Paolo Frasconi (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

A relational kernel-based approach to scene classification. - Laura Antanas; McElory Hoffmann; Paolo Frasconi; Tinne Tuytelaars; Luc De Raedt (WACV, 2013)

Type Extension Trees for feature construction and learning in relational domains. - Manfred Jaeger; Marco Lippi 001; Andrea Passerini; Paolo Frasconi (Artif. Intell., 2013)

Italian Machine Learning and Data Mining research: The last years. - Nicola Di Mauro; Paolo Frasconi; Fabrizio Angiulli; Davide Bacciu; Marco de Gemmis; Floriana Esposito; Nicola Fanizzi; Stefano Ferilli; Marco Gori; Francesca A. Lisi; Pasquale Lops; Donato Malerba; et al. (Intelligenza Artificiale, 2013)

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. - Marco Lippi 001; Matteo Bertini; Paolo Frasconi (IEEE Trans. Intell. Transp. Syst., 2013)

kLogNLP: Graph Kernel-based Relational Learning of Natural Language. - Mathias Verbeke; Paolo Frasconi; Kurt De Grave; Fabrizio Costa; Luc De Raedt (ACL (System Demonstrations), 2014)

A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. - Alessandro Bria; Giulio Iannello; Paolo Soda; Hanchuan Peng; Giovanni Erbacci; Giuseppe Fiameni; Giacomo Mariani; Roberto Mucci; Marco Rorro; Francesco Pavone; Ludovico Silvestri; Paolo Frasconi; et al. (HPCS, 2014)

kLog: A language for logical and relational learning with kernels. - Paolo Frasconi; Fabrizio Costa; Luc De Raedt; Kurt De Grave (Artif. Intell., 2014)

Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images. - Paolo Frasconi; Ludovico Silvestri; Paolo Soda; Roberto Cortini; Francesco Pavone; Giulio Iannello (Bioinform., 2014)

Markov Logic Networks for Optical Chemical Structure Recognition. - Paolo Frasconi; Francesco Gabbrielli; Marco Lippi 001; Simone Marinai (J. Chem. Inf. Model., 2014)

Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. - Paolo Soda; Ludovica Acciai; Ermanno Cordelli; Irene Costantini; Leonardo Sacconi; Francesco Saverio Pavone; Valerio Conti; Renzo Guerrini; Paolo Frasconi; Giulio Iannello (EMBC, 2015)

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). - Paolo Frasconi; Fabrizio Costa; Luc De Raedt; Kurt De Grave (IJCAI, 2015)

Graph Invariant Kernels. - Francesco Orsini; Paolo Frasconi; Luc De Raedt (IJCAI, 2015)

kProbLog: An Algebraic Prolog for Kernel Programming. - Francesco Orsini; Paolo Frasconi; Luc De Raedt (ILP, 2015)

Cell identification in whole-brain multiview images of neural activation. - Marco Paciscopi; Ludovico Silvestri; Francesco Saverio Pavone; Paolo Frasconi (CoRR, 2015)

RNAcommender: genome-wide recommendation of RNA-protein interactions. - Gianluca Corrado; Toma Tebaldi; Fabrizio Costa; Paolo Frasconi; Andrea Passerini (Bioinform., 2016)

On Hyperparameter Optimization in Learning Systems. - Luca Franceschi 001; Michele Donini; Paolo Frasconi; Massimiliano Pontil (ICLR (Workshop), 2017)

Forward and Reverse Gradient-Based Hyperparameter Optimization. - Luca Franceschi 001; Michele Donini; Paolo Frasconi; Massimiliano Pontil (ICML, 2017)

A Network Architecture for Multi-Multi-Instance Learning. - Alessandro Tibo; Paolo Frasconi; Manfred Jaeger (ECML/PKDD (1), 2017)

A Bridge Between Hyperparameter Optimization and Larning-to-learn. - Luca Franceschi 001; Michele Donini; Paolo Frasconi; Massimiliano Pontil (CoRR, 2017)

kProbLog: an algebraic Prolog for machine learning. - Francesco Orsini; Paolo Frasconi; Luc De Raedt (Mach. Learn., 2017)

Bilevel Programming for Hyperparameter Optimization and Meta-Learning. - Luca Franceschi 001; Paolo Frasconi; Saverio Salzo; Riccardo Grazzi; Massimiliano Pontil (ICML, 2018)

Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres. - Tijn Borghuis; Alessandro Tibo; Simone Conforti; Luca Canciello; Lorenzo Brusci; Paolo Frasconi (CoRR, 2018)

Bilevel Programming for Hyperparameter Optimization and Meta-Learning. - Luca Franceschi 001; Paolo Frasconi; Saverio Salzo; Massimiliano Pontil (CoRR, 2018)

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. - Luca Franceschi 001; Riccardo Grazzi; Massimiliano Pontil; Saverio Salzo; Paolo Frasconi (CoRR, 2018)

Shift Aggregate Extract Networks. - Francesco Orsini; Daniele Baracchi; Paolo Frasconi (Frontiers Robotics AI, 2018)

Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. - Michele Donini; Luca Franceschi 001; Massimiliano Pontil; Orchid Majumder; Paolo Frasconi (CoRR, 2019)

Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. - Valentijn Borghuis; Luca Angioloni; Lorenzo Brusci; Paolo Frasconi (IJCAI, 2020)

Marthe: Scheduling the Learning Rate Via Online Hypergradients. - Michele Donini; Luca Franceschi 001; Orchid Majumder; Massimiliano Pontil; Paolo Frasconi (IJCAI, 2020)

CONLON: A Pseudo-Song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations. - Luca Angioloni; Valentijn Borghuis; Lorenzo Brusci; Paolo Frasconi (ISMIR, 2020)

Learning and Interpreting Multi-Multi-Instance Learning Networks. - Alessandro Tibo; Manfred Jaeger; Paolo Frasconi (J. Mach. Learn. Res., 2020)

Classification of Cancer Pathology Reports: A Large-Scale Comparative Study. - Stefano Martina; Leonardo Ventura; Paolo Frasconi (IEEE J. Biomed. Health Informatics, 2020)

Learning Aggregation Functions. - Giovanni Pellegrini; Alessandro Tibo; Paolo Frasconi; Andrea Passerini; Manfred Jaeger (IJCAI, 2021)

Tiny Autoencoders are Effective Few-Shot Generative Model Detectors. - Luca Bindini; Giulia Bertazzini; Daniele Baracchi; Dasara Shullani; Paolo Frasconi; Alessandro Piva (WIFS, 2024)

All-in-one electrical atrial substrate indicators with deep anomaly detection. - Luca Bindini; Stefano Pagani; Andrea Bernardini; Benedetta Grossi; Andrea Giomi; Antonio Frontera; Paolo Frasconi (Biomed. Signal Process. Control., 2024)

Hyperparameter Optimization in Machine Learning. - Luca Franceschi 001; Michele Donini; Valerio Perrone; Aaron Klein; Cédric Archambeau; Matthias W. Seeger; Massimiliano Pontil; Paolo Frasconi (CoRR, 2024)

Dealing with Uncertainty in Contextual Anomaly Detection. - Luca Bindini; Lorenzo Perini; Stefano Nistri; Jesse Davis; Paolo Frasconi (CoRR, 2025)