';

RESEARCH

RESEARCH AREAS

HIGHLIGHTS - PROJECTS & EVENTS

BBETWEEN

The MMSP group is collaborating with members of the Dept. of Law and DI.SEA.DE of the University of Milano-Bicocca to provide a multidisciplinary bbetween course on new technologies, rights, and society, starting from movie watching and discussing different topics with experts in different fields.

For more information, please consult the dedicated website.

Milan Workshop

The MMSP lab is launching the "Milan Workshop on Computational methods for mental health and well being".
More information will be coming soon.

AIxAS

Prof. Gasparini is an active part of the Artificial Intelligence for an Ageing Society (AIxAS) working group and has served as Workshop and Organizing Chair in numerous editions.

For more information, please consult the official website.

AIxHMI

Dr. Saibene is one of the Workshop Chairs of the Artificial Intelligence for Human-Machine Interaction (AIxHMI) workshop.

For more information, please consult the official website.

PUBLICATIONS

2024

2024 On the Exploitation of CEEMDAN for PPG Synthetic Data Generation Grossi, A., Gasparini, F., Saibene, A. (2024). On the Exploitation of CEEMDAN for PPG Synthetic Data Generation. In Ambient Assisted Living ForItAAL 2023 Conference proceedings (pp.56-69). Springer [10.1007/978-3-031-63913-5_6].2024 Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance Olearo, L., D'Adda, F., Messina, E., Cremaschi, M., Bandini, S., Gasparini, F. (2024). Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance. INTELLIGENZA ARTIFICIALE, 18(1), 51-65 [10.3233/ia-240027].2024 Deep learning in motor imagery EEG signal decoding: A Systematic Review Saibene, A., Ghaemi, H., Dagdevir, E. (2024). Deep learning in motor imagery EEG signal decoding: A Systematic Review. NEUROCOMPUTING, 610(28 December 2024) [10.1016/j.neucom.2024.128577].2024 Ten quick tips for electrocardiogram (ECG) signal processing Chicco, D., Karaiskou, A., De Vos, M. (2024). Ten quick tips for electrocardiogram (ECG) signal processing. PEERJ. COMPUTER SCIENCE., 10, 1-22 [10.7717/PEERJ-CS.2295].2024 Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing Cisotto, G., Chicco, D. (2024). Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing. PEERJ. COMPUTER SCIENCE., 10, 1-25 [10.7717/PEERJ-CS.2256].2024 Seven quick tips for gene-focused computational pangenomic analysis Bonnici, V., Chicco, D. (2024). Seven quick tips for gene-focused computational pangenomic analysis. BIODATA MINING, 17(1) [10.1186/s13040-024-00380-2].2024 DL-based multi-artifact EEG denoising exploiting spectral information Gabardi, M., Saibene, A., Gasparini, F., Rizzo, D., Stella, F. (2024). DL-based multi-artifact EEG denoising exploiting spectral information. INTELLIGENZA ARTIFICIALE, 18(1), 89-102 [10.3233/IA-240025].2024 Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band Villela, U., Grossi, A., Gasparini, F., Salgado, I., Ballesteros, M. (2024). Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp.134-139). Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS61543.2024.00030].2024 SER_AMPEL: A Multi-source Dataset for Speech Emotion Recognition of Italian Older Adults Grossi, A., Gasparini, F. (2024). SER_AMPEL: A Multi-source Dataset for Speech Emotion Recognition of Italian Older Adults. In Ambient Assisted Living ForItAAL 2023 Conference proceedings (pp.70-79). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-63913-5_7].2024 Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records Mollura, M., Chicco, D., Paglialonga, A., Barbieri, R. (2024). Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records. PLOS DIGITAL HEALTH, 3(3) [10.1371/journal.pdig.0000459].2024 Ensemble machine learning reveals key features for diabetes duration from electronic health records Cerono, G., Chicco, D. (2024). Ensemble machine learning reveals key features for diabetes duration from electronic health records. PEERJ. COMPUTER SCIENCE., 10 [10.7717/peerj-cs.1896].2024 Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme Cerono, G., Melaiu, O., Chicco, D. (2024). Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme. JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, 8(1 (March 2024)), 1-18 [10.1007/s41666-023-00138-1].
2023

2023 A computational framework for speech emotion recognition in case of multisource data Grossi, A., Fratti, G., Gasparini, F. (2023). A computational framework for speech emotion recognition in case of multisource data. In Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.113-126). CEUR-WS.2023 Neuro-Identifier for the Musculoskeletal System of the Upper-Limb to Map Electromyographic Signals to Inverse Kinematics Villela, U., Gomez-Correa, M., Ballesteros, M., Cruz-Ortiz, D., Salgado, I., Gasparini, F. (2023). Neuro-Identifier for the Musculoskeletal System of the Upper-Limb to Map Electromyographic Signals to Inverse Kinematics. In 2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023 (pp.296-301). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICCMA59762.2023.10374683].2023 Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques Ribino, P., Di Napoli, C., Paragliola, G., Serino, L., Gasparini, F., Chicco, D. (2023). Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques. In Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.67-87). CEUR-WS.2023 Variabilità nella frequenza cardiaca e nella conduttanza cutanea come misura di attenzione sostenuta. Uno studio comparativo Conte, F., Bricolo, E., Cocchia, L., De Benedictis, G., Gasparini, F., Girelli, L., et al. (2023). Variabilità nella frequenza cardiaca e nella conduttanza cutanea come misura di attenzione sostenuta. Uno studio comparativo. Intervento presentato a: XXIX Congresso AIP - Sezione Sperimentale, Lucca, Italia.2023 An Artificial Intelligence approach to predict mutidimensional poverty of older people from unlabelled data Olearo, L., D'Adda, F., Messina, V., Cremaschi, M., Bandini, S., Gasparini, F. (2023). An Artificial Intelligence approach to predict mutidimensional poverty of older people from unlabelled data. In Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.98-112). CEUR-WS.2023 Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review Saibene, A., Ghaemi, H., Dagdevir, E. (2023). Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review [Altro] [10.2139/ssrn.4592138].2023 Preface to the Second Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI) Saibene, A., Corchs, S., Fontana, S., Sole-Casals, J. (2023). Preface to the Second Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI). In Proceedings of the 2nd Workshop on Artificial Intelligence for Human-Machine Interaction 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023). CEUR-WS.2023 An experimental protocol to access immersiveness in video games Malaspina, M., Amianto Barbato, J., Cremaschi, M., Gasparini, F., Grossi, A., Saibene, A. (2023). An experimental protocol to access immersiveness in video games. In Proceedings of the 2nd Workshop on Artificial Intelligence for Human-Machine Interaction 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.69-81). CEUR-WS.2023 Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction Chicco, D., Haupt, R., Garaventa, A., Uva, P., Luksch, R., Cangelosi, D. (2023). Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction. EUROPEAN JOURNAL OF CANCER, 193(November 2023) [10.1016/j.ejca.2023.113291].2023 Ten quick tips for fuzzy logic modeling of biomedical systems Chicco, D., Spolaor, S., Nobile, M. (2023). Ten quick tips for fuzzy logic modeling of biomedical systems. PLOS COMPUTATIONAL BIOLOGY, 19(12) [10.1371/journal.pcbi.1011700].2023 A multi-artifact EEG denoising by frequency-based deep learning Gabardi, M., Saibene, A., Gasparini, F., Rizzo, D., Stella, F. (2023). A multi-artifact EEG denoising by frequency-based deep learning. In Proceedings of the 2nd Workshop on Artificial Intelligence for Human-Machine Interaction 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.28-41). CEUR-WS.2023 A Three Level Prediction of Multidimensional Poverty in Elderly D'Adda, F., Cremaschi, M., Messina, E., Terraneo, M., Bandini, S., Gasparini, F. (2023). A Three Level Prediction of Multidimensional Poverty in Elderly. In Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023) (pp.544-549). CEUR-WS.2023 Recognizing misogynous memes: Biased models and tricky archetypes Rizzi, G., Gasparini, F., Saibene, A., Rosso, P., Fersini, E. (2023). Recognizing misogynous memes: Biased models and tricky archetypes. INFORMATION PROCESSING & MANAGEMENT, 60(5) [10.1016/j.ipm.2023.103474].2023 Distance-based affective states in cellular automata pedestrian simulation Bandini, S., Briola, D., Dennunzio, A., Gasparini, F., Giltri, M., Vizzari, G. (2023). Distance-based affective states in cellular automata pedestrian simulation. NATURAL COMPUTING [10.1007/s11047-023-09957-y].2023 Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment Chicco, D., Ferraro Petrillo, U., Cattaneo, G. (2023). Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment. PLOS COMPUTATIONAL BIOLOGY, 19(7), 1-16 [10.1371/journal.pcbi.1011272].2023 Ten quick tips for avoiding pitfalls in multi-omics data integration analyses Chicco, D., Cumbo, F., Angione, C. (2023). Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. PLOS COMPUTATIONAL BIOLOGY, 19(7), 1-15 [10.1371/journal.pcbi.1011224].2023 A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index Chicco, D., Jurman, G. (2023). A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. JOURNAL OF BIOMEDICAL INFORMATICS, 144, 1-7 [10.1016/j.jbi.2023.104426].2023 Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma Chicco, D., Sanavia, T., Jurman, G. (2023). Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BIODATA MINING, 16(1) [10.1186/s13040-023-00325-1].2023 The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification Chicco, D., Jurman, G. (2023). The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BIODATA MINING, 16(1), 1-23 [10.1186/s13040-023-00322-4].2023 Ten simple rules for providing bioinformatics support within a hospital Chicco, D., Jurman, G. (2023). Ten simple rules for providing bioinformatics support within a hospital. BIODATA MINING, 16(1), 1-12 [10.1186/s13040-023-00326-0].2023 Ten quick tips for computational analysis of medical images Chicco, D., Shiradkar, R. (2023). Ten quick tips for computational analysis of medical images. PLOS COMPUTATIONAL BIOLOGY, 19(1), 1-14 [10.1371/journal.pcbi.1010778].2023 Behavior and Task Classification Using Wearable Sensor Data: A Study across Different Ages Gasparini, F., Grossi, A., Giltri, M., Nishinari, K., Bandini, S. (2023). Behavior and Task Classification Using Wearable Sensor Data: A Study across Different Ages. SENSORS, 23(6), 1-28 [10.3390/s23063225].2023 EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review Saibene, A., Caglioni, M., Corchs, S., Gasparini, F. (2023). EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. SENSORS, 23(5), 1-42 [10.3390/s23052798].2023 Positive Artificial Intelligence Meets Affective Walkability Bandini, S., Gasparini, F., Silva, F. (2023). Positive Artificial Intelligence Meets Affective Walkability. In Y. Ohsawa (a cura di), Living Beyond Data Toward Sustainable Value Creation (pp. 161-178). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-11593-6_9].2023 Comparing online cognitive load on mobile versus PC-based devices Caldiroli, C., Gasparini, F., Corchs, S., Mangiatordi, A., Garbo, R., Antonietti, A., et al. (2023). Comparing online cognitive load on mobile versus PC-based devices. PERSONAL AND UBIQUITOUS COMPUTING, 27(2), 495-505 [10.1007/s00779-022-01707-8].2023 Genetic algorithm for feature selection of EEG heterogeneous data Saibene, A., Gasparini, F. (2023). Genetic algorithm for feature selection of EEG heterogeneous data. EXPERT SYSTEMS WITH APPLICATIONS, 217(1 May 2023) [10.1016/j.eswa.2022.119488].
2022

2022 Artificial Intelligence facing Multidimensional Poverty in Elderly Bandini, S., Borodi, V., Chieregato, D., Cremaschi, M., D'Antico, F., Messina, V., et al. (2022). Artificial Intelligence facing Multidimensional Poverty in Elderly. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) (pp.59-72). CEUR-WS.2022 Preface of the CIBB 2021 proceedings book Chicco, D., Facchiano, A. (2022). Preface of the CIBB 2021 proceedings book. In D. Chicco, A. Facchiano, E. Tavazzi, E. Longato, M. Vettoretti, A. Bernasconi, et al. (a cura di), Computational Intelligence Methods for Bioinformatics and Biostatistics, 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers (pp. 5-6). Springer Science and Business Media Deutschland GmbH.2022 A brief survey of tools for genomic regions enrichment analysis Chicco, D., Jurman, G. (2022). A brief survey of tools for genomic regions enrichment analysis. FRONTIERS IN BIOINFORMATICS, 2, 1-7 [10.3389/fbinf.2022.968327].2022 Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers Chicco, D., Facchiano, A., Tavazzi, E., Longato, E., Vettoretti, M., Bernasconi, A., et al. (a cura di). (2022). Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers. Springer Cham [10.1007/978-3-031-20837-9].2022 Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset Gasparini, F., Grossi, A. (2022). Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) (pp.12-28). CEUR-WS.2022 The ABC recommendations for validation of supervised machine learning results in biomedical sciences Chicco, D., Jurman, G. (2022). The ABC recommendations for validation of supervised machine learning results in biomedical sciences. FRONTIERS IN BIG DATA, 5, 1-6 [10.3389/fdata.2022.979465].2022 Ten simple rules for organizing a special session at a scientific conference Chicco, D., Bourne, P. (2022). Ten simple rules for organizing a special session at a scientific conference. PLOS COMPUTATIONAL BIOLOGY, 18(8) [10.1371/journal.pcbi.1010395].2022 An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence Chicco, D., Jurman, G. (2022). An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. FRONTIERS IN ROBOTICS AND AI, 9, 1-4 [10.3389/frobt.2022.876814].2022 Nine quick tips for pathway enrichment analysis Chicco, D., Agapito, G. (2022). Nine quick tips for pathway enrichment analysis. PLOS COMPUTATIONAL BIOLOGY, 18(8), 1-15 [10.1371/journal.pcbi.1010348].2022 geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) Alameer, A., Chicco, D. (2022). geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO). BIOINFORMATICS, 38(6), 1761-1763 [10.1093/bioinformatics/btab852].2022 A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma Chicco, D., Cerono, G., Cangelosi, D. (2022). A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma. DATA SCIENCE JOURNAL, 21(1), 1-18 [10.5334/dsj-2022-017].2022 Eleven quick tips for data cleaning and feature engineering Chicco, D., Oneto, L., Tavazzi, E. (2022). Eleven quick tips for data cleaning and feature engineering. PLOS COMPUTATIONAL BIOLOGY, 18(12), 1-21 [10.1371/journal.pcbi.1010718].2022 Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning Chicco, D., Alameer, A., Rahmati, S., Jurman, G. (2022). Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BIODATA MINING, 15(1), 1-23 [10.1186/s13040-022-00312-y].2022 geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) Chicco, D. (2022). geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO). In G. Agapito (a cura di), Microarray Data Analysis (pp. 187-194). Humana Press Inc. [10.1007/978-1-0716-1839-4_12].2022 Preface to the First Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI) Saibene, A., Corchs, S., Sole-Casals, J. (2022). Preface to the First Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI). In 1st Workshop on Artificial Intelligence for Human Machine Interaction, AIxHMI 2022. CEUR-WS.2022 Handling Missing Data For Sleep Monitoring Systems Gashi, S., Alecci, L., Gjoreski, M., Di Lascio, E., Mehrotra, A., Musolesi, M., et al. (2022). Handling Missing Data For Sleep Monitoring Systems. In 2022 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022 (pp.1-8). IEEE [10.1109/ACII55700.2022.9953832].2022 Pedestrian and autonomous vehicle interaction: Towards affective crossing Sorrenti, D., Gasparini, F., D'Elia, F., Ballini, A., Fontana, S., Di Lauro, F., et al. (2022). Pedestrian and autonomous vehicle interaction: Towards affective crossing. Intervento presentato a: 2nd Workshop on sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance (ALTRUIST) co-located with the 14th International Conference on Social Robotics (ICSR 2022), Firenze, Italia.2022 The Role of Model Personalization for Sleep Stage and Sleep Quality Recognition Using Wearables Gashi, S., Alecci, L., Di Lascio, E., Debus, M., Gasparini, F., Santini, S. (2022). The Role of Model Personalization for Sleep Stage and Sleep Quality Recognition Using Wearables. IEEE PERVASIVE COMPUTING, 21(2), 69-77 [10.1109/MPRV.2022.3164334].2022 Inner speech recognition through electroencephalographic signals Gasparini, F., Cazzaniga, E., Saibene, A. (2022). Inner speech recognition through electroencephalographic signals. In 1st Workshop on Artificial Intelligence for Human Machine Interaction, AIxHMI 2022 (pp.48-61). CEUR-WS.2022 The evolution of AI approaches for motor imagery EEG-based BCIs Saibene, A., Corchs, S., Caglioni, M., Gasparini, F. (2022). The evolution of AI approaches for motor imagery EEG-based BCIs. In 1st Workshop on Artificial Intelligence for Human Machine Interaction, AIxHMI 2022 (pp.9-23). CEUR-WS.2022 Personalized PPG Normalization Based on Subject Heartbeat in Resting State Condition Gasparini, F., Grossi, A., Giltri, M., Bandini, S. (2022). Personalized PPG Normalization Based on Subject Heartbeat in Resting State Condition. SIGNALS, 3(2), 249-265 [10.3390/signals3020016].2022 Integrating the Implications of Distance-Based Affective States in Cellular Automata Pedestrian Simulation Bandini, S., Briola, D., Dennunzio, A., Gasparini, F., Giltri, M., Vizzari, G. (2022). Integrating the Implications of Distance-Based Affective States in Cellular Automata Pedestrian Simulation. In Cellular Automata Pedestrian Simulation 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, Geneva, Switzerland, September 12–15, 2022, Proceedings (pp.259-270). Springer Cham [10.1007/978-3-031-14926-9_23].2022 Furthering an agent-based modeling approach introducing affective states based on real data Bandini, S., Briola, D., Gasparini, F., Giltri, M. (2022). Furthering an agent-based modeling approach introducing affective states based on real data. In 12th International Workshop on Agents in Traffic and Transportation, ATT 2022 co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022). CEUR Workshop Proceedings.2022 SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification Fersini, E., Gasparini, F., Rizzi, G., Saibene, A., Chulvi, B., Rosso, P., et al. (2022). SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. In SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop (pp.533-549). Association for Computational Linguistics [10.18653/v1/2022.semeval-1.74].2022 Misogynous MEME Recognition: A Preliminary Study Fersini, E., Rizzi, G., Saibene, A., Gasparini, F. (2022). Misogynous MEME Recognition: A Preliminary Study. In Advances in Artificial Intelligence. AIxIA 2021 (pp.279-293) [10.1007/978-3-031-08421-8_19].2022 EEG-Based BCIs for Elderly Rehabilitation Enhancement Exploiting Artificial Data Saibene, A., Gasparini, F., Sole-Casals, J. (2022). EEG-Based BCIs for Elderly Rehabilitation Enhancement Exploiting Artificial Data. Intervento presentato a: 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021 - 1 December 2021 through 3 December 2021, Virtual, Online [10.1007/978-3-031-08421-8_25].2022 Novel EEG-based BCIs for Elderly Rehabilitation Enhancement Saibene, A., Gasparini, F., Solé-Casals, J. (2022). Novel EEG-based BCIs for Elderly Rehabilitation Enhancement. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2021 co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021) (pp.26-40). CEUR-WS.2022 Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content Gasparini, F., Rizzi, G., Saibene, A., Fersini, E. (2022). Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content. DATA IN BRIEF, 44(October 2022) [10.1016/j.dib.2022.108526].
2021

2021 Social and Active Inclusion of the Elderly in the City Through Affective Walkability Bandini, S., Gasparini, F. (2021). Social and Active Inclusion of the Elderly in the City Through Affective Walkability. THE REVIEW OF SOCIONETWORK STRATEGIES, 15(2), 557-573 [10.1007/s12626-021-00091-8].2021 Affectivity and Proxemic Distances: an experimental agent-based modeling approach Gasparini, F., Giltri, M., Briola, D., Dennunzio, A., Bandini, S. (2021). Affectivity and Proxemic Distances: an experimental agent-based modeling approach. In 2nd Italian Workshop on Artificial Intelligence for an Ageing Society, AIxAS 2021 (pp.81-92). CEUR-WS.2021 Pressure Pain Threshold Values Obtained Through Algometers Trueba-Perdomo, J., Gasparini, F., Flores Cuautle, J. (2021). Pressure Pain Threshold Values Obtained Through Algometers. REVISTA MEXICANA DE INGENIERÍA BIOMÉDICA, 42(2), 132-148 [10.17488/RMIB.42.2.11].2021 Age-Related Walkability Assessment: A Preliminary Study Based on the EMG Gasparini, F., Grossi, A., Nishinari, K., Bandini, S. (2021). Age-Related Walkability Assessment: A Preliminary Study Based on the EMG. In AIxIA 2020 – Advances in Artificial Intelligence (pp.423-438). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-77091-4_25].2021 A Deep Learning Approach to Recognize Cognitive Load using PPG Signals Gasparini, F., Grossi, A., Bandini, S. (2021). A Deep Learning Approach to Recognize Cognitive Load using PPG Signals. In ACM International Conference Proceeding Series (pp.489-495). Association for Computing Machinery [10.1145/3453892.3461625].2021 GA for feature selection of EEG heterogeneous data Saibene, A., Gasparini, F. (2021). GA for feature selection of EEG heterogeneous data [Altro].2021 Expert systems: Definitions, advantages and issues in medical field applications Saibene, A., Assale, M., Giltri, M. (2021). Expert systems: Definitions, advantages and issues in medical field applications. EXPERT SYSTEMS WITH APPLICATIONS, 177(1 September 2021) [10.1016/j.eswa.2021.114900].2021 Safety perception and pedestrian dynamics: Experimental results towards affective agents modeling Gasparini, F., Giltri, M., Bandini, S. (2021). Safety perception and pedestrian dynamics: Experimental results towards affective agents modeling. AI COMMUNICATIONS, 34(1), 5-19 [10.3233/AIC-201576].
2020

2020 Experimental Approach to Study Pedestrian Dynamics Towards Affective Agents Modeling Gasparini, F., Giltri, M., Bandini, S. (2020). Experimental Approach to Study Pedestrian Dynamics Towards Affective Agents Modeling. Intervento presentato a: 11th International Workshop on Agents in Traffic and Transportation, ATT 2020 - 4 September 2020, Santiago di Compostela, Spain.2020 EMG for walkability assessment: A comparison between elderly and young adults Gasparini, F., Grossi, A., Nishinari, K., Bandini, S. (2020). EMG for walkability assessment: A comparison between elderly and young adults. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020) (pp.88-100). CEUR-WS.2020 Real-life experiments for walkability assessment in elderly people Gasparini, F., Toffanin, G., Campioni, R., Di Marla, M., Borghi, A., Bandini, S. (2020). Real-life experiments for walkability assessment in elderly people. In CEUR Workshop Proceedings (pp.101-112). CEUR-WS.2020 Addressing Digital Divide and Elderly Acceptance of Medical Expert Systems for Healthy Ageing Saibene, A., Assale, M., Giltri, M. (2020). Addressing Digital Divide and Elderly Acceptance of Medical Expert Systems for Healthy Ageing. Intervento presentato a: Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), Anywhere.2020 Human-Machine Interaction: EEG Electrode and Feature Selection Exploiting Evolutionary Algorithms in Motor Imagery Tasks Saibene, A., Gasparini, F. (2020). Human-Machine Interaction: EEG Electrode and Feature Selection Exploiting Evolutionary Algorithms in Motor Imagery Tasks. In CENTRIC 2020 : The Thirteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services (pp.8-14).2020 Interaction autonomous vehicle - pedestrian: dynamic vehicle behaviour as a function of subjective safety perception Bandini, S., Fontana, S., Gasparini, F., Sorrenti, D. (2020). Interaction autonomous vehicle - pedestrian: dynamic vehicle behaviour as a function of subjective safety perception. In Proceedings of the Crowdbot Workshop, co-located with the 29th IEEE International Conference on Robot & Human Interactive Communication ROMAN-2020, available at: http://crowdbot.eu/workshop-roman2020/.2020 Towards affective walkability for healthy ageing in the future of the cities? Bandini, S., Gasparini, F. (2020). Towards affective walkability for healthy ageing in the future of the cities?. In 5th Italian Workshop on Artificial Intelligence for Ambient Assisted Living, AI*AAL.it 2019; Rende; Italy; 22 November 2019 (pp.1-9). CEUR-WS.2020 Discriminating affective state intensity using physiological responses Gasparini, F., Giltri, M., Bandini, S. (2020). Discriminating affective state intensity using physiological responses. MULTIMEDIA TOOLS AND APPLICATIONS, 79(47-48), 35845-35865 [10.1007/s11042-020-09114-y].
2019

2019 Inappropriate prescription of benzodiazepines in acutely hospitalized older patients Franchi, C., Rossio, R., Ardoino, I., Mannucci, P., Nobili, A., Prisco, D., et al. (2019). Inappropriate prescription of benzodiazepines in acutely hospitalized older patients. EUROPEAN NEUROPSYCHOPHARMACOLOGY, 29(7), 871-879 [10.1016/j.euroneuro.2019.05.004].2019 Detecting Sexist MEME On The Web: A Study on Textual and Visual Cues Fersini, E., Gasparini, F., Corchs, S. (2019). Detecting Sexist MEME On The Web: A Study on Textual and Visual Cues. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 (pp.226-231) [10.1109/ACIIW.2019.8925199].2019 Corrigendum: Computational Methods for Resting-State EEG of Patients With Disorders of Consciousness (Frontiers in Neuroscience, (2019), 13, 10.3389/fnins.2019.00807) Corchs, S., Chioma, G., Dondi, R., Gasparini, F., Manzoni, S., Markowska-Kaczmar, U., et al. (2019). Corrigendum: Computational Methods for Resting-State EEG of Patients With Disorders of Consciousness (Frontiers in Neuroscience, (2019), 13, 10.3389/fnins.2019.00807). FRONTIERS IN NEUROSCIENCE, 13, 1323 [10.3389/fnins.2019.01323].2019 Personalized Music Experience for the Wellbeing of Elderly People Bandini, S., Gasparini, F., Giltri, M. (2019). Personalized Music Experience for the Wellbeing of Elderly People. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.335-340). Springer [10.1007/978-3-030-34770-3_28].2019 Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data Berlingeri, M., Devoto, F., Gasparini, F., Saibene, A., Corchs, S., Clemente, L., et al. (2019). Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data. FRONTIERS IN NEUROSCIENCE, 13(22 October 2019) [10.3389/fnins.2019.01037].2019 Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System Saibene, A., Gasparini, F. (2019). Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System. In Internet Science. 6th International Conference, INSCI 2019, Perpignan, France, December 2–5, 2019, Proceedings (pp.341-347). Springer [10.1007/978-3-030-34770-3_29].2019 Computational methods for resting-state EEG of patients with disorders of consciousness Corchs, S., Chioma, G., Dondi, R., Gasparini, F., Manzoni, S., Markowska-Kacznar, U., et al. (2019). Computational methods for resting-state EEG of patients with disorders of consciousness. FRONTIERS IN NEUROSCIENCE, 13, 1-7 [10.3389/fnins.2019.00807].2019 Databases for evaluating interferences between affective content and image quality Gasparini, F., Ciocca, G., Corchs, S. (2019). Databases for evaluating interferences between affective content and image quality. DATA IN BRIEF, 23 [10.1016/j.dib.2019.103700].2019 Ensemble learning on visual and textual data for social image emotion classification Corchs, S., Fersini, E., Gasparini, F. (2019). Ensemble learning on visual and textual data for social image emotion classification. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 10(8), 2057-2070 [10.1007/s13042-017-0734-0].
2018

2018 Prevalence, characteristics and treatment of chronic pain in elderly patients hospitalized in internal medicine wards Corsi, N., Roberto, A., Cortesi, L., Nobili, A., Mannucci, P., Corli, O., et al. (2018). Prevalence, characteristics and treatment of chronic pain in elderly patients hospitalized in internal medicine wards. EUROPEAN JOURNAL OF INTERNAL MEDICINE, 55, 35-39 [10.1016/j.ejim.2018.05.031].2018 Disability, and not diabetes, is a strong predictor of mortality in oldest old patients hospitalized with pneumonia Corrao, S., Argano, C., Natoli, G., Nobili, A., Corazza, G., Mannucci, P., et al. (2018). Disability, and not diabetes, is a strong predictor of mortality in oldest old patients hospitalized with pneumonia. EUROPEAN JOURNAL OF INTERNAL MEDICINE, 54, 53-59 [10.1016/j.ejim.2018.04.012].2018 Multimodal classification of sexist advertisements Gasparini, F., Erba, I., Fersini, E., Corchs, S. (2018). Multimodal classification of sexist advertisements. In ICETE 2018 - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2 (pp.399-406). SciTePress [10.5220/0006859405650572].2018 Machine Learning of Multi-channel Electroencephalographic Data⋆ Saibene, A. (2018). Machine Learning of Multi-channel Electroencephalographic Data⋆. Intervento presentato a: 17th International Conference of the Italian Association for Artificial Intelligence – Trento, November 20-23, 2018, Trento, Italia.2018 EEG data of face recognition in case of biological compatible changes: A pilot study on healthy people Saibene, A., Corchs, S., Daini, R., Facchin, A., Gasparini, F. (2018). EEG data of face recognition in case of biological compatible changes: A pilot study on healthy people. In ICETE 2018 - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, Porto; Portugal; 2628 July 2018, Volume 1 (pp.414-420). SciTePress [10.5220/0006909104140420].2018 Quality assessment of JPEG-distorted face images: Influence of affective content Gasparini, F., Ciocca, G., Corchs, S. (2018). Quality assessment of JPEG-distorted face images: Influence of affective content. In CETE 2018 - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications Volume 2 (pp.386-393). SciTePress [10.5220/0006853405520559].
2017

2017 A multidistortion database for image quality Corchs, S., Gasparini, F. (2017). A multidistortion database for image quality. Intervento presentato a: Computational Color Imaging. CCIW 2017, Milano [10.1007/978-3-319-56010-6_8].2017 A complexity-based image analysis to investigate interference between distortions and image contents in image quality assessment Ciocca, G., Corchs, S., Gasparini, F. (2017). A complexity-based image analysis to investigate interference between distortions and image contents in image quality assessment. Intervento presentato a: International Workshop on Computational Color Imaging, CCIW 2017 29-31 march, Milan, Italy [10.1007/978-3-319-56010-6_9].