@unpublished{NnAaaa,
	author="E. Marcelli and T. Barbariol and G.A. Susto",
	title="Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems",
	year="20YY"
}

@article{NnAaaa,
	author="D. Dandolo and C. Masiero and M. Carletti and D. Dalle Pezze and G.A. Susto",
	title="AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box",
	journal="Expert Systems with Applications",
	year="2023",
	volume="214"
}

@article{NnAaaa,
	author="M. Carletti and M. Terzi and G.A. Susto",
	title="Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest",
	journal="Engineering Applications of Artificial Intelligence",
	year="2023",
	volume="119"
}

@article{NnAaaa,
	author="F. Zocco and M. Maggipinto and G.A. Susto and S. McLoone",
	title="Lazy FSCA for Unsupervised Variable Selection",
	journal="Engineering Applications of Artificial Intelligence",
	year="2023",
	volume="124"
}

@inproceedings{NnAaaa,
	author="L. Cristaldi and P. Esmaili and G. Gruosso and A. La Bella and M. Mecella and R. Scattolini and A. Arman and G.A. Susto and L. Tanca",
	title="The MICS Project. A Data Science Pipeline for Industry 4.0 Applications",
	booktitle="2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (IEEE MetroXRAINE 2023)",
	year="2023",
	location="Milan"
}

@article{NnAaaa,
	author="M. Maggipinto and A. Beghi and G.A. Susto",
	title="A Deep Convolutional Autoencoder-based Approach for Anomaly Detection with Industrial, Non-images, 2-Dimensional data: a Semiconductor Manufacturing case study",
	journal="IEEE Transactions on Automation Science and Engineering",
	year="2022",
	pages="1477-1490",
	volume="19",
	number="3"
}

@inproceedings{NnAaaa,
	author="D. Dalle Pezze and D. Deronjic and C. Masiero and D. Tosato and A. Beghi and G.A. Susto",
	title="A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring",
	booktitle="European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD)",
	year="2022",
	location="Grenoble"
}

@incollection{NnAaaa,
	author="T. Barbariol and F. Dalla Chiara and D. Marcato and G.A. Susto",
	title="A review of Tree-based approaches for Anomaly Detection",
	booktitle="Control Charts and Machine Learning for Anomaly Detection in Manufacturing",
	year="2022",
	publisher="Srpinger"
}

@inproceedings{NnAaaa,
	author="E. Marcelli and T. Barbariol and V. Savarino and A. Beghi and G.A. Susto",
	title="A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points",
	booktitle="23rd IEEE Latin-American Test Symposium (LATS2022)",
	year="2022",
	location="Montevideo"
}

@article{NnAaaa,
	author="F. Simmini and M. Rampazzo and F. Peterle and G.A. Susto and A. Beghi",
	title="A Self-Tuning KPCA-based Approach to Fault Detection in Chiller Systems",
	journal="IEEE Transactions on Control Systems Technology",
	year="2022",
	month="July",
	volume="30",
	number="4"
}

@article{NnAaaa,
	author="A. Fabris and S. Messina and G. Silvello and G.A. Susto",
	title="Algorithmic Fairness Datasets: the Story so Far",
	journal="Data Mining and Knowledge Discovery",
	year="2022"
}

@article{NnAaaa,
	author="H.T. Jebril and M. Pleschberger and G.A. Susto",
	title="An Autoencoder-based Approach for Fault Detection in Multi-stage Manufacturing: a Sputter Deposition and Rapid Thermal Processing case study",
	journal="IEEE Transactions on Semiconductor Manufacturing",
	year="2022"
}

@article{NnAaaa,
	author="L.C. Brito and G.A. Susto and J.N. Brito and M.A.V. Duarte",
	title="An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery",
	journal="Mechanical Systems and Signal Processing",
	year="2022",
	month="January 15",
	volume="163"
}

@inproceedings{NnAaaa,
	author="E. Anello and M. Chiara and F. Ferro and F. Ferrari and B. Mukaj and A. Beghi and G.A. Susto",
	title="Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis",
	booktitle="IEEE Conference on Control Technology and Applications (CCTA)",
	year="2022"
}

@inproceedings{NnAaaa,
	author="L. Lorenti and G. De Rossi and A. Annoni and S. Rigutto and G.A. Susto",
	title="CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations",
	booktitle="IEEE Conference on Control Technology and Applications (CCTA)",
	year="2022"
}

@article{NnAaaa,
	author="D. Dalle Pezze and C. Masiero and D. Tosato and A. Beghi and G.A. Susto",
	title="FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment",
	journal="IEEE Transactions on Automation Science and Engineering",
	year="2022",
	pages="1491--1502",
	volume="19",
	number="3"
}

@article{NnAaaa,
	author="G.A. Susto and A. Diebold and A. Kyek and C. Lee and N. Patel",
	title="Guest Editorial: Process-Level Machine Learning Applications in Semiconductor Manufacturing",
	journal="IEEE Transactions on Semiconductor Manufacturing",
	year="2022"
}

@article{NnAaaa,
	author="M. Maggipinto and M. Terzi and G.A. Susto",
	title="IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces",
	journal="Engineering Applications of Artificial Intelligence",
	year="2022",
	month="March",
	volume="109"
}

@article{NnAaaa,
	author="A. Purpura and G. Silvello and G.A. Susto",
	title="Learning to Rank from Relevance Judgments Distributions",
	journal="Journal of the Association for Information Science and Technology",
	year="2022"
}

@misc{NnAaaa,
	author="L.C. Brito and G.A. Susto and J.N. Brito and M.A.V. Duarte",
	title="Mechanical faults in rotating machinery dataset (normal, unbalance, misalignment, looseness)",
	journal="Mendeley Data",
	year="2022"
}

@article{NnAaaa,
	author="T. Barbariol and G.A. Susto",
	title="TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios",
	journal="Information Sciences",
	year="2022",
	pages="126-143",
	volume="610"
}

@inproceedings{NnAaaa,
	author="M. Berno and M. Canil and N. Chiarello and L. Piazzon and F. Berti and F. Ferrari and A. Zaupa and N. Ferro and M. Rossi and G.A. Susto",
	title="A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry",
	booktitle="International Workshop on Metrology for Industry 4.0 & IoT",
	year="2021",
	organization="IEEE",
	location="Roma"
}

@inproceedings{NnAaaa,
	author="S. Tedesco and G.A. Susto and N. Gentner and A. Kyek and Y. Yang",
	title="A Scalable Deep Learning-based Approach for Anomaly Detection in Semiconductor Manufacturing",
	booktitle="Winter Simulation Conference",
	year="2021",
	month="December",
	location="Phoenix, AZ"
}

@inproceedings{NnAaaa,
	author="M. Terzi and A. Achille and M. Maggipinto and G.A. Susto",
	title="Adversarial Training Reduces Information and Improves Transferability",
	booktitle="35th AAAI Conference on Artificial Intelligence",
	year="2021",
	number="arXiv:2007.11259",
	organization="AAAI",
	location="Virtual"
}

@inproceedings{NnAaaa,
	author="A. Fabris and A. Mishler and S. Gottardi and M. Carletti and M. Daicampi and G.A. Susto and G. Silvello",
	title="Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing",
	booktitle="Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)",
	year="2021",
	month="May",
	organization="AAAI/ACM"
}

@article{NnAaaa,
	author="N. Bargellesi and A. Beghi and M. Rampazzo and G.A. Susto",
	title="AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data",
	journal="IEEE Robotics and Automation Letters",
	year="2021",
	month="June 21",
	pages="6100--6107",
	volume="6",
	number="3"
}

@article{NnAaaa,
	author="N. Gentner and M. Carletti and A. Kyek and G.A. Susto and Y. Yang",
	title="DBAM: Making Virtual Metrology/Soft Sensing with Time Series Data Scalable Through Deep Learning",
	journal="Control Engineering Practice",
	year="2021",
	volume="116"
}

@article{NnAaaa,
	author="S. Arena and Y. Budrov and M. Carletti and N. Gentner and M. Maggipinto and Y. Yang and A. Beghi and A. Kyek and G.A. Susto",
	title="Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images",
	journal="IEEE Transactions on Semiconductor Manufacturing",
	year="2021"
}

@article{NnAaaa,
	author="L.C. Brito and G.A. Susto and J.N. Brito and M.A.V. Duarte",
	title="Fault Detection of Bearing: an Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction",
	journal="Informatics",
	year="2021"
}

@article{NnAaaa,
	author="R. Fantinel and A. Cenedese and G. Fadel",
	title="Hybrid Learning Driven by Dynamic Descriptors for Video Classification of Reflective Surfaces",
	journal="IEEE Transactions on Industrial Informatics",
	year="2021",
	pages="8102--8111",
	volume="17",
	number="12",
	issn="1941-0050",
	note="DOI: 10.1109/TII.2021.3062619
ISSN Information:
Print ISSN: 1551-3203
Electronic ISSN: 1941-0050"
}

@inproceedings{NnAaaa,
	author="M. Viola and L. Brunelli and G.A. Susto",
	title="Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach",
	booktitle="Italian Workshop on Artificial Intelligence and Applications for Business and Industries",
	year="2021"
}

@inproceedings{NnAaaa,
	author="D. Marcato and G. Arena and D. Bortolato and F. Gelain and V. Martinelli and E. Munaron and M. Roetta and G. Savarese and G.A. Susto",
	title="Machine Learning-based Anomaly Detection for Particle Accelerators",
	booktitle="5th IEEE Conference on Control Technology and Applications (CCTA)",
	year="2021",
	location="San Diego"
}

@inproceedings{NnAaaa,
	author="A. Purpura and K. Buchner and G. Silvello and G.A. Susto",
	title="Neural Feature Selection for Learning to Rank",
	booktitle="Proceedings of the European Conference on Information Retrieval",
	year="2021",
	location="Lucca / Online"
}

@article{NnAaaa,
	author="L. Mancin and I. Rollo and J.F. Mota and F. Piccini and M. Carletti and G.A. Susto and G. Valle and A. Paoli",
	title="Optimizing Microbiota Profiles for Athletes: Dream or Reality?",
	journal="Exercise and sport sciences reviews",
	year="2021",
	pages="42--49",
	volume="49",
	number="1"
}

@article{NnAaaa,
	author="L. Frau and G.A. Susto and T. Barbariol and E. Feltresi",
	title="Uncertainty estimation for Machine Learning models in Multiphase flow Applications",
	journal="Informatics",
	year="2021",
	volume="8",
	number="3"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and E. Feltresi and G.A. Susto",
	title="A Machine Learning-based System for Self-diagnosis Multiphase Flow Meters",
	booktitle="International Petroleum Technology Conference",
	year="2020"
}

@book{NnAaaa,
	author="J.A. Mat Jizat and I.M. Khairuddin and A. Razman and A.F. Nasir and M.S.A. Karim and A.A. Jaafar and L. Wei Hong and A. Abdul Majeed and H. Myung and H. Choi and G.A. Susto",
	title="Advances in Robotics, Automation and Data Analytics. Selected Papers from iCITES 2020",
	year="2020",
	series="Advances in Intelligent Systems and Computing",
	isbn="978-3-030-70917-4",
	publisher="Springer"
}

@misc{NnAaaa,
	author="D. Tosato and D. Dalle Pezze and C. Masiero and G.A. Susto and A. Beghi",
	title="Alarm Logs in Packaging Industry (ALPI)",
	journal="IEEEDataPort",
	year="2020"
}

@inproceedings{NnAaaa,
	author="M. Maggipinto and M. Terzi and G.A. Susto",
	title="Beta-Variational Classifiers Under Attack",
	booktitle="IFAC World Congress",
	year="2020",
	location="Berlin"
}

@article{NnAaaa,
	author="L. Meneghetti and M. Terzi and S. Del Favero and G.A. Susto and C. Cobelli",
	title="Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas",
	journal="IEEE Transactions on Control Systems Technology",
	year="2020",
	month="January",
	pages="33-47",
	volume="28",
	number="1"
}

@article{NnAaaa,
	author="M. Terzi and G.A. Susto and P. Chaudhari",
	title="Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications",
	journal="Engineering Applications of Artificial Intelligence",
	year="2020",
	month="May",
	volume="91"
}

@inproceedings{NnAaaa,
	author="N. Gentner and M. Carletti and G.A. Susto and A. Kyek and Y. Yang",
	title="Enhancing Scalability of Virtual Metrology: a Deep Learning-based Approach for Domain Adaptation",
	booktitle="Winter Simulation Conference",
	year="2020",
	location="Orlando"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and E. Feltresi and S. Galvanin and D. Tescaro and G.A. Susto",
	title="How to improve Water Cut measurements in MPFM using a Sensor Fusion and Machine Learning-based Approach",
	booktitle="North Sea Flow Measurement Workshop",
	year="2020"
}

@incollection{NnAaaa,
	author="A. Razman and A. Majeed and R.M. Musa and Z. Taha and G.A. Susto and Y. Mukai",
	title="Hyperparameter Tuning of the Model for Hunger State Classification",
	booktitle="SpringerBriefs in Applied Sciences and Technology",
	year="2020",
	month="January 3",
	pages="49-57",
	address="Singapore",
	publisher="Springer"
}

@incollection{NnAaaa,
	author="A. Razman and A. Majeed and R.M. Musa and Z. Taha and G.A. Susto and Y. Mukai",
	title="Image Processing Features Extraction on Fish Behaviour",
	booktitle="SpringerBriefs in Applied Sciences and Technology",
	year="2020",
	month="January 3",
	pages="25-36",
	address="Singapore",
	publisher="Springer"
}

@article{NnAaaa,
	author="G.A. Susto and M. Maggipinto and F. Zocco and S. McLoone",
	title="Induced Start Dynamic Sampling for Wafer Metrology Optimization",
	journal="IEEE Transactions on Automation Science and Engineering",
	year="2020",
	month="January",
	pages="418-432",
	volume="17",
	number="1",
	note="Metrology, which plays an important role in ensuring
production quality in modern manufacturing industries,
incurs substantial costs, both in terms of the infrastructure
required, and the time needed to perform measurements. In
particular, in the semiconductor manufacturing industry, measuring
fundamental quantities on different sites of a wafer
surface is associated with increased production time. To increase
metrology efficiency, a typical strategy is to limit the number
of sites measured and to exploit statistical models (soft sensing)
to reconstruct the wafer profile. Moreover, for quality reasons,
spatial dynamic sampling strategies may be employed to ensure
that all regions of a wafer surface are checked periodically
during production. In this work, we propose a new sampling
strategy, called Induced Start Dynamic Sampling (ISDS), that
adapts greedy feature selection algorithms to the spatial dynamic
sampling problem such that the number of measured sites at
each process run is minimized while achieving good wafer profile
reconstruction accuracy and process visibility. The superiority
of the proposed strategy with respect to the state-of-the-art
is demonstrated using both simulated data and an industrial
chemical vapour deposition case study."
}

@inproceedings{NnAaaa,
	author="M. Carletti and N. Gentner and Y. Yang and A. Kyek and M. Maggipinto and A. Beghi and G.A. Susto",
	title="Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing",
	booktitle="Winter Simulation Conference",
	year="2020",
	location="Orlando"
}

@book{NnAaaa,
	author="A. Razman and A. Majeed and R.M. Musa and Z. Taha and G.A. Susto and Y. Mukai",
	title="Machine Learning in Aquaculture Hunger Classification of Lates calcarifer",
	year="2020",
	series="SpringerBriefs in Applied Sciences and Technology",
	address="Singapore",
	isbn="978-981-15-2237-6",
	publisher="Springer"
}

@incollection{NnAaaa,
	author="A. Razman and A. Majeed and R.M. Musa and Z. Taha and G.A. Susto and Y. Mukai",
	title="Monitoring and Feeding Integration of Demand Feeder Systems",
	booktitle="SpringerBriefs in Applied Sciences and Technology",
	year="2020",
	month="January 3",
	pages="11-24",
	address="Singapore",
	publisher="Springer"
}

@article{NnAaaa,
	author="R. Fantinel and A. Cenedese",
	title="Multistep hybrid learning: CNN driven by spatial–temporal features for faults detection on metallic surfaces",
	journal="Journal of Electronic Imaging",
	year="2020",
	pages="29",
	volume="4",
	issn="1017-9909",
	note="DOI: https://doi.org/10.1117/1.JEI.29.4.041005

ISSN: 1017-9909
E-ISSN: 1560-229X"
}

@inproceedings{NnAaaa,
	author="M. Maggipinto and G.A. Susto and P. Chaudhari",
	title="Proximal Deterministic Policy Gradient",
	booktitle="IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)",
	year="2020",
	location="Las Vegas"
}

@article{NnAaaa,
	author="T. Barbariol and E. Feltresi and G.A. Susto",
	title="Self-Diagnosis of Multiphase Flow Meters through Machine Learning-based Anomaly Detection",
	journal="Energies",
	year="2020",
	pages="1 -- 24",
	volume="12",
	number="13"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and E. Feltresi and G.A. Susto and D. Tescaro and S. Galvanin",
	title="Sensor Fusion And Machine LearningTechniques To Improve Water Cut Measurements Accuracy In Multiphase Application",
	booktitle="2020 SPE Annual Technical Conference and Exhibition",
	year="2020",
	organization="SPE",
	location="Denver"
}

@article{NnAaaa,
	author="M. Zanon and G. Zambonin and G.A. Susto and S. McLoone",
	title="Sparse Logistic Regression: Comparison of Regularization and Bayesian implementations",
	journal="Algorithms",
	year="2020",
	month="June 8",
	pages="1 -- 24",
	volume="13",
	number="6"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and D. Masiero and E. Feltresi and G.A. Susto",
	title="Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meter",
	booktitle="North Sea Flow Measurement Workshop",
	year="2020"
}

@incollection{NnAaaa,
	author="A. Razman and A. Majeed and R.M. Musa and Z. Taha and G.A. Susto and Y. Mukai",
	title="Time-Series Identification on Fish Feeding Behaviour",
	booktitle="SpringerBriefs in Applied Sciences and Technology",
	year="2020",
	month="January 3",
	pages="37-47",
	address="Singapore",
	publisher="Springer"
}

@article{NnAaaa,
	author="M. Carletti and C. Masiero and A. Beghi and G.A. Susto",
	title="A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study",
	journal="Procedia Manufacturing",
	year="2019",
	pages="233-240",
	volume="38"
}

@inproceedings{NnAaaa,
	author="M. Maggipinto and A. Beghi and G.A. Susto",
	title="A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing",
	booktitle="International Conference on Industrial Informatics (INDIN)",
	year="2019",
	pages="187 -- 191",
	organization="IEEE",
	location="Helsinki"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and L. Vettore and G. Zambonin and F. Altinier and D. Beninato and T. Girotto and M. Rampazzo and A. Beghi",
	title="A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers",
	booktitle="5th IFAC International Conference on Intelligent Control and Automation Sciences",
	year="2019",
	location="Belfast"
}

@inproceedings{NnAaaa,
	author="N. Bargellesi and M. Carletti and A. Cenedese and G.A. Susto and M. Terzi",
	title="A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors",
	booktitle="5th IFAC International Conference on Intelligent Control and Automation Sciences",
	year="2019",
	location="Belfast",
	note="DOI: 10.1016/j.ifacol.2019.09.129"
}

@inproceedings{NnAaaa,
	author="G. Zambonin and F. Altinier and A. Beghi and L.D.S. Coelho and T. Girotto and M. Rampazzo and G. Reynoso-Meza and G.A. Susto",
	title="Data-Driven Models for the Determination of Laundry Moisture Content in a Household Laundry Treatment Dryer Appliance",
	booktitle="Lecture Notes in Control and Information Sciences – Proceedings",
	year="2019"
}

@article{NnAaaa,
	author="L. Brunelli and C. Masiero and D. Tosato and A. Beghi and G.A. Susto",
	title="Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study",
	journal="Procedia Manufacturing",
	year="2019",
	pages="248-255",
	volume="38"
}

@article{NnAaaa,
	author="M. Maggipinto and A. Beghi and S. McLoone and G.A. Susto",
	title="DeepVM: A Deep Learning-based Approach with Automatic Feature Extraction for 2D Input Data Virtual Metrology",
	journal="Journal of Process Control",
	year="2019",
	month="December",
	pages="24-34",
	volume="84"
}

@article{NnAaaa,
	author="L. Meneghetti and G.A. Susto and S. Del Favero",
	title="Detection of insulin pump malfunctioning to improve safety in artificial pancreas using unsupervised algorithms",
	journal="Journal of Diabetes Science and Technology",
	year="2019",
	month="October 14"
}

@inproceedings{NnAaaa,
	author="M. Carletti and C. Masiero and A. Beghi and G.A. Susto",
	title="Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis",
	booktitle="2019 IEEE International Conference on Systems, Man, and Cybernetics",
	year="2019",
	organization="IEEE",
	location="Bari"
}

@inproceedings{NnAaaa,
	author="A. Purpura and C. Masiero and G. Silvello and G.A. Susto",
	title="Feature Selection for Emotion Classification",
	booktitle="10th Italian Information Retrieval Workshop (IIR)",
	year="2019",
	location="Padova"
}

@article{NnAaaa,
	author="A. Razman and A.S.A. Ghani and A. Cenedese and F.A. Adnan and G.A. Susto and K.M. Ismail and R.M. Musa and Y. Mukai and Z. Taha and A. Majeed",
	title="Hunger Classification of Lates Calcarifer by means of an automated feeder and image processing",
	journal="Computers and Electronics in Agriculture",
	year="2019",
	volume="163",
	note="DOI: 10.1016/j.compag.2019.104883"
}

@article{NnAaaa,
	author="M. Maggipinto and E. Pesavento and F. Altinier and G. Zambonin and A. Beghi and G.A. Susto",
	title="Laundry Fabric Classification in Vertical AxisWashing Machines using Data-driven Soft Sensors",
	journal="Energies",
	year="2019",
	volume="12",
	number="21"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and E. Feltresi and G.A. Susto",
	title="Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters",
	booktitle="5th IFAC International Conference on Intelligent Control and Automation Sciences",
	year="2019",
	location="Belfast"
}

@article{NnAaaa,
	author="G. Zambonin and F. Altinier and A. Beghi and L.D.S. Coelho and N. Fiorella and T. Girotto and M. Rampazzo and G. Reynoso-Meza and G.A. Susto",
	title="Machine Learning-based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances",
	journal="Energies",
	year="2019",
	month="October 11",
	pages="1 -- 24",
	volume="20",
	number="12"
}

@inproceedings{NnAaaa,
	author="A. Purpura and M. Maggipinto and G. Silvello and G.A. Susto",
	title="Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)",
	booktitle="5th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR)",
	year="2019",
	organization="ACM",
	location="Santa Clara"
}

@inproceedings{NnAaaa,
	author="A. Purpura and C. Masiero and G. Silvello and G.A. Susto",
	title="Supervised Lexicon Extraction for Emotion Classification",
	booktitle="Proceedings of the 28th International Conference on World Wide Web Companion",
	year="2019",
	pages="1071 - 1078",
	location="San Francisco"
}

@inproceedings{NnAaaa,
	author="T. Barbariol and E. Feltresi and G.A. Susto",
	title="Validity and consistency of MPFM data through a Machine learning-based system",
	booktitle="37th International North Sea Flow Measurement Workshop",
	year="2019",
	location="Tonsberg"
}

@inproceedings{NnAaaa,
	author="M. Maggipinto and G.A. Susto and F. Zocco and S. McLoone",
	title="What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction",
	booktitle="IEEE Conference on Automation Science and Engineering",
	year="2019",
	location="Vancouver"
}

@article{NnAaaa,
	author="M. Maggipinto and M. Terzi and C. Masiero and A. Beghi and G.A. Susto",
	title="A Computer Vision-inspired Deep Learning Architecture for Virtual Metrology modeling with 2-Dimensional Data",
	journal="IEEE Transactions on Semiconductor Manufacturing",
	year="2018",
	month="August",
	pages="376 - 384",
	volume="31",
	number="3",
	issn="1558-2345"
}

@article{NnAaaa,
	author="M. Maggipinto and C. Masiero and A. Beghi and G.A. Susto",
	title="A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology",
	journal="Procedia Manufacturing, 28th International Conference on Flexible Automation and Intelligent Manufacturing",
	year="2018",
	pages="126-133",
	volume="17"
}

@article{NnAaaa,
	author="G.A. Susto and M. Maggipinto and F. Zocco and S. McLoone",
	title="A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing",
	journal="Procedia Manufacturing, 28th International Conference on Flexible Automation and Intelligent Manufacturing",
	year="2018",
	pages="1031-1038",
	volume="17"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and M. Terzi and C. Masiero and S. Pampuri and A. Schirru",
	title="A Fraud Detection Decision Support System via Human On-line Behavior Characterization and Machine Learning",
	booktitle="1st International Conference on Artificial Intelligence for Industries (AI4I)",
	year="2018",
	pages="9-14",
	organization="IEEE",
	location="Los Angeles"
}

@inproceedings{NnAaaa,
	author="N. Normani and A. Urru and L. Abraham and M. Walsh and S. Tedesco and A. Cenedese and G.A. Susto and B. O'Flynn",
	title="A Machine Learning Approach for Gesture Recognition with a Lensless Smart Sensor System",
	booktitle="15th International Conference on Wearable and Implantable Body Sensor Networks",
	year="2018",
	pages="136--139",
	organization="IEEE",
	location="Las Vegas",
	note="DOI: 10.1109/BSN.2018.8329677"
}

@article{NnAaaa,
	author="S. McLoone and A.B. Johnston and G.A. Susto",
	title="A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles",
	journal="IEEE Transactions on Automation Science and Engineering",
	year="2018",
	pages="1692-1703",
	volume="15",
	number="4"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and G. Zambonin and F. Altinier and E. Pesavento and A. Beghi",
	title="A Soft Sensing approach for Clothes Load Estimation in Consumer Washing Machines",
	booktitle="2nd IEEE Conference on Control Technology and Applications (CCTA)",
	year="2018",
	month="August",
	location="Copenhagen"
}

@inproceedings{NnAaaa,
	author="L. Meneghetti and M. Terzi and G.A. Susto and S. Del Favero and C. Cobelli",
	title="Fault Detection in Artificial Pancreas: A Model-Free approach",
	booktitle="Conference on Decision and Control (CDC)",
	year="2018",
	pages="303-308",
	organization="IEEE"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and M. Maggipinto and G. Zannon and F. Altinier and E. Pesavento and A. Beghi",
	title="Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines",
	booktitle="European Control Conference (ECC2018)",
	year="2018",
	pages="3179 - 3184",
	location="Limassol, Cyprus"
}

@inproceedings{NnAaaa,
	author="G. Zambonin and F. Altinier and L. Corso and A. Beghi and G.A. Susto",
	title="Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers",
	booktitle="Conference on Automation Science and Engineering (CASE)",
	year="2018",
	organization="IEEE",
	location="Monaco"
}

@article{NnAaaa,
	author="M. Zorzi and A. Chiuso",
	title="The Harmonic Analysis of Kernel Functions",
	journal="Automatica - accepted",
	year="2018"
}

@incollection{NnAaaa,
	author="A. Purpura and C. Masiero and G.A. Susto",
	title="WS4ABSA: an NMF-based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews",
	booktitle="Lecture Notes in Computer Science",
	year="2018",
	pages="386--401",
	location="Limassol"
}

@inproceedings{NnAaaa,
	author="M. Terzi and A. Cenedese and G.A. Susto",
	title="A multivariate symbolic approach to activity recognition for wearable applications",
	booktitle="IFAC World Congress 2017",
	year="2017",
	pages="16435-16440"
}

@article{NnAaaa,
	author="G.A. Susto and M. Terzi and A. Beghi",
	title="Anomaly Detection Approaches for Semiconductor Manufacturing",
	journal="Procedia Manufacturing",
	booktitle="27th International Conference on Flexible Automation and Intelligent Manufacturing",
	year="2017",
	pages="2018-2024",
	volume="11",
	location="Modena"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and A. Beghi and S. McLoone",
	title="Anomaly Detection through on-line Isolation Forest: an Application to Plasma Etching",
	booktitle="IEEE/SEMI Advanced Semiconductor Manufacturing Conference",
	year="2017",
	location="Saratoga Springs, NY"
}

@inproceedings{NnAaaa,
	author="M. Terzi and C. Masiero and A. Beghi and M. Maggipinto and G.A. Susto",
	title="Deep Learning for Virtual Metrology: Modeling with Optical Emission Spectroscopy Data",
	booktitle="IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)",
	year="2017",
	organization="IEEE",
	location="Modena"
}

@inproceedings{ToDaCaPiSc2017,
	author="M. Todescato and A. Dalla Libera and R. Carli and G. Pillonetto and L. Schenato",
	title="Distributed Kalman Filtering for Time-Space Gaussian Processes (with proofs)",
	booktitle="20th World Congress of International Federation of Automatic Control (IFAC)",
	year="2017",
	month="July",
	pages="13234--13239",
	address="Toulouse",
	organization="IFAC",
	location="Toulouse",
	publisher="Elsevier"
}

@inproceedings{NnAaaa,
	author="G. Prando and M. Zorzi and A. Bertoldo and A. Chiuso",
	title="Estimating effective connectivity in linear brain network models",
	booktitle="56th IEEE Conference on Decision and Control",
	year="2017",
	pages="accepted",
	address="accepted"
}

@techreport{NnAaaa,
	author="F. Altinier and E. Pesavento and A. Beghi and G.A. Susto and G. Zambonin and G. Zannon",
	title="Method for the Determination of a Laundry Weight in a Laundry Treatment Appliance",
	year="2017",
	number="Pub. No.:	WO/2017/144085	International Application No.:	PCT/EP2016/053788",
	address="Patenti"
}

@article{ToCaCaPiSc2017,
	author="M. Todescato and A. Carron and R. Carli and G. Pillonetto and L. Schenato",
	title="Multi-Robots Gaussian Estimation and Coverage Control: from Server-based to Peer-to-Peer Architecture",
	journal="Automatica",
	year="2017",
	month="June",
	pages="284--294",
	volume="80",
	note="DOI: 10.1016/j.automatica.2017.02.045"
}

@article{ZorziCAuto2016,
	author="M. Zorzi and A. Chiuso",
	title="Sparse plus Low rank Network Identification: A Nonparamteric Approach",
	journal="Automatica",
	year="2017",
	volume="53",
	number="2"
}

@inbook{NnAaaa,
	author="G.A. Susto and A. Cenedese and M. Terzi",
	title="Time Series Classication Methods: Review and Applications to Power Systems Data",
	year="2017",
	month="November 8",
	series="Big Data Application in Power Systems",
	chapter="Big Data Application in Power Systems - Ch. 2.5",
	publisher="Elsevier",
	note="https://www.elsevier.com/books/big-data-application-in-power-systems/arghandeh/978-0-12-811968-6"
}

@inproceedings{NnAaaa,
	author="A. Cenedese and G.A. Susto and M. Terzi",
	title="A Parsimonious Approach for Activity Recognition with Wearable Devices: an Application to Cross-country Skiing",
	booktitle="European Control Conference 2016 (ECC'16)",
	year="2016",
	pages="2541-2546",
	location="Aalborg",
	note="DOI: 10.1109/ECC.2016.7810672

Electronic ISBN: 978-1-5090-2591-6
USB ISBN: 978-1-5090-2590-9
Print on Demand(PoD) ISBN: 978-1-5090-2592-3"
}

@inproceedings{CDC2016_DC,
	author="T. Chen and G. Pillonetto and A. Chiuso and L. Ljung",
	title="DC kernel - a stable generalized first order spline kernel",
	booktitle="Proc. of CDC 2016 - accepted",
	year="2016"
}

@inproceedings{NnAaaa,
	author="G.A. Susto and A. Beghi",
	title="Dealing with Time-Series Data in Predictive Maintenance Problems",
	booktitle="Emerging Technologies and Factory Automation",
	year="2016",
	month="September",
	organization="IEEE",
	location="Berlin"
}

@article{NnAaaa,
	author="A. Cenedese and L. Minetto and G.A. Susto and M. Terzi",
	title="Human Activity Recognition with Wearable Devices: A Symbolic Approach",
	journal="PsychNology",
	year="2016",
	pages="99-115",
	volume="14",
	number="2-3",
	issn="17207525"
}

@inproceedings{AC:MT:RC:LS:GP-2016,
	author="M. Todescato and A. Carron and R. Carli and L. Schenato and G. Pillonetto",
	title="Machine Learning meets Kalman Filtering (with proofs)",
	booktitle="55th IEEE Conference on Decision and Control (CDC16)",
	year="2016",
	month="December",
	pages="4594--4599",
	organization="IEEE",
	location="Las Vegas"
}

@inproceedings{SoattoC2016ICLR,
	author="S. Soatto and A. Chiuso",
	title="Modeling Visual Representations:Defining Properties and Deep Approximations",
	booktitle="International Conference on Learning Representation (ICLR)",
	year="2016"
}

@article{NnAaaa,
	author="G.A. Susto and A. Schirru and S. Pampuri and S. McLoone",
	title="Supervised Aggregative Feature Extraction for Big Data Time Series Regression",
	journal="IEEE Transactions on Industrial Informatics",
	year="2016",
	month="June 2",
	pages="1243 - 1252",
	volume="12",
	issn="1551-3203"
}

@inproceedings{RoChPi2015,
	author="D. Romeres and G. Pillonetto and A. Chiuso",
	title="Identification of stable models via nonparametric prediction error methods",
	booktitle="Proc. of the European Control Conference",
	year="2015",
	month="July",
	address="Linz",
	organization="ECC"
}

@article{Susto2014TII,
	author="G.A. Susto and A. Schirru and S. Pampuri and S. McLoone and A. Beghi",
	title="Machine Learning for Predictive Maintenance: a Multiple Classifiers Approach",
	journal="IEEE Transactions on Industrial Informatics",
	year="2015",
	month="June",
	pages="812 - 820",
	volume="11",
	number="3",
	issn="1551-3203"
}

@inproceedings{Susto2015Case,
	author="G.A. Susto and S. McLoone",
	title="Slow Release Drug Dissolution Profile Prediction in Pharmaceutical Manufacturing: a Multivariate and Machine Learning Approach",
	booktitle="11th IEEE Conference on Automation Science and Engineering",
	year="2015",
	month="August 24",
	pages="1218-1223",
	organization="IEEE RAS",
	location="Gothenburg, Sweden"
}

@inproceedings{ICLR2015,
	author="S. Soatto and A. Chiuso",
	title="Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximation",
	booktitle="International Conference on Learning Representation (ICLR), Workshop Track",
	year="2015",
	month="May"
}

@inproceedings{gesture2014cdc,
	author="G. Belgioioso and A. Cenedese and G.I. Cirillo and F. Fraccaroli and G.A. Susto",
	title="A Machine Learning based Approach for Gesture Recognition from Inertial Measurements",
	booktitle="IEEE 53rd Conference on Decision and Control",
	year="2014",
	month="December",
	pages="4899--4904",
	location="Los Angeles",
	note="10.1109/CDC.2014.7040154"
}

@inbook{ChiusoSpringer2014,
	author="A. Chiuso",
	title="System Identification Techniques: Convexification, Regularization, Relaxation",
	journal="Springer Encyclopedia of Systems and Control",
	year="2014"
}