Archivio Istituzionale della RicercaMONACO, SIMONE
MONACO, SIMONE
Dipartimento di Automatica e Informatica
040275
MURENA, a MUlti-Agent LLM pipeline for large-scale Real Estate maNAgement
In corso di stampa De Luca, Marco; Monaco, Simone; Tcaciuc, Claudiu; Gorrino, Alice; De Luca, Giovanna; Apiletti, Daniele; Cerquitelli, Tania
Tandem: a Confidence-based Approach for Precise Medical Image Segmentation
In corso di stampa Monaco, Simone; Petrosino, Lorenzo; Xinaris, Christodoulos; Apiletti, Daniele
Temporal Urban Region Evolution Forecasting with Graph Neural Networks and Adaptive Quantile Labeling
In corso di stampa Vazirov, Etibar; Apiletti, Daniele; Monaco, Simone
A Stability-Aware Consensus Framework for Urban Anomaly Discovery in Multi-Relational POI Graphs
2026 Vazirov, Etibar; Monaco, Simone; Apiletti, Daniele
XAI tools to predict biological invasiveness from phenotypes: A case study in plants
2026 Spina, Guido; Frittella, Barbara; Ciarle, Riccardo; Monaco, Simone
A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics
2025 Celia, Matteo; Monaco, Simone; Apiletti, Daniele
Prediction of coffee consumption using Graph Neural Networks and Explainable AI
2025 Vazirov, Etibar; Monaco, Simone; Apiletti, Daniele
Quantify production planning efficiency through predictive modeling in manufacturing systems
2025 Monaco, Simone; Apiletti, Daniele; Francica, Andrea; Cerquitelli, Tania
Theory-guided Data Science models
2025 Monaco, Simone
Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation
2025 Monaco, Simone; Monaco, Luca; Apiletti, Daniele; Cremonini, Roberto; Barbero, Secondo
AI models for automated segmentation of engineered polycystic kidney tubules
2024 Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele
Deep Probability Segmentation: Are segmentation models probability estimators?
2024 Fassio, Simone; Monaco, Simone; Apiletti, Daniele
Uncertainty-aware segmentation for rainfall prediction post processing
2024 Monaco, Simone; Monaco, Luca; Apiletti, Daniele
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy
2023 Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; Apiletti, Daniele; Baralis, ELENA MARIA
Lorentz-invariant augmentation for high-energy physics
2023 Monaco, Simone; Barresi, Sebastiano; Apiletti, Daniele
Training physics-informed neural networks: One learning to rule them all?
2023 Monaco, Simone; Apiletti, Daniele
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery
2022 Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania
Experimental Comparison of Theory-Guided Deep Learning Algorithms
2022 Monaco, Simone; Apiletti, Daniele
Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers
2022 Monaco, Simone; Bethaz, Paolo; Apiletti, Daniele; Baldini, Fabrizio Pio; Caso, Carlo; Cerquitelli, Tania
Theory-Guided Deep Learning Algorithms: An Experimental Evaluation
2022 Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| MURENA, a MUlti-Agent LLM pipeline for large-scale Real Estate maNAgement / De Luca, M., Monaco, S., Tcaciuc, C., Gorrino, A., De Luca, G., Apiletti, D., Cerquitelli, T.. - (In corso di stampa). (ECML PKDD ). | In corso di stampa | De Luca, MarcoMonaco, SimoneTcaciuc, ClaudiuGorrino, AliceDe Luca, GiovannaApiletti, DanieleCerquitelli, Tania | MURENA_paper.pdf |
| Tandem: a Confidence-based Approach for Precise Medical Image Segmentation / Monaco, S., Petrosino, L., Xinaris, C., Apiletti, D.. - (In corso di stampa). (2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Workshops Barcelona (ESP) August 25, 2024 - August 29, 2024). | In corso di stampa | Simone MonacoDaniele Apiletti + | 27_tandem_a_confidence_based_appr.pdf |
| Temporal Urban Region Evolution Forecasting with Graph Neural Networks and Adaptive Quantile Labeling / Vazirov, E., Apiletti, D., Monaco, S.. - (In corso di stampa). (20th Anniversary IEEE International Conference on Application of Information and Communication Technologies (AICT 2026) Baku (AZE) 14/10/2026 - 16/10/2026). | In corso di stampa | Etibar VazirovDaniele ApilettiSimone Monaco | - |
| A Stability-Aware Consensus Framework for Urban Anomaly Discovery in Multi-Relational POI Graphs / Vazirov, E., Monaco, S., Apiletti, D.. - In: SMART CITIES. - ISSN 2624-6511. - 9:9(2026). [10.3390/smartcities9090150] | 1-gen-2026 | Vazirov, EtibarMonaco, SimoneApiletti, Daniele | smartcities-09-00150_.pdf |
| XAI tools to predict biological invasiveness from phenotypes: A case study in plants / Spina, G., Frittella, B., Ciarle, R., Monaco, S.. - In: ECOLOGICAL INFORMATICS. - ISSN 1574-9541. - 97:(2026). [10.1016/j.ecoinf.2026.103877] | 1-gen-2026 | Guido SpinaBarbara FrittellaSimone Monaco + | 1-s2.0-S1574954126002840-main.pdf |
| A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics / Celia, M., Monaco, S., Apiletti, D.. - In: NEURAL COMPUTING & APPLICATIONS. - ISSN 1433-3058. - ELETTRONICO. - 37:30(2025), pp. 25319-25338. [10.1007/s00521-025-11580-0] | 1-gen-2025 | Celia, MatteoMonaco, SimoneApiletti, Daniele | s00521-025-11580-0.pdf |
| Prediction of coffee consumption using Graph Neural Networks and Explainable AI / Vazirov, E., Monaco, S., Apiletti, D.. - (2025). (19th IEEE International Conference on Application of Information and Communication Technologies (AICT) Al-Ain (UAE) 29-31 October 2025) [10.1109/AICT67988.2025.11268605]. | 1-gen-2025 | Vazirov, EtibarMonaco, SimoneApiletti, Daniele | Prediction_of_coffee_consumption_using_Graph_Neural_Networks_and_Explainable_AI.pdf |
| Quantify production planning efficiency through predictive modeling in manufacturing systems / Monaco, S., Apiletti, D., Francica, A., Cerquitelli, T.. - In: COMPUTERS & INDUSTRIAL ENGINEERING. - ISSN 0360-8352. - ELETTRONICO. - 201:(2025). [10.1016/j.cie.2025.110919] | 1-gen-2025 | Monaco, SimoneApiletti, DanieleCerquitelli, Tania + | 1-s2.0-S0360835225000658-main.pdf |
| Theory-guided Data Science models / Monaco, S.. - (2025 Mar 31), pp. 1-125. [10.13121/polito/porto/2998722] | 31-mar-2025 | MONACO, SIMONE | conv_myphdthesis.pdf; conv_sintesi.pdf |
| Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation / Monaco, S., Monaco, L., Apiletti, D., Cremonini, R., Barbero, S.. - In: COMPUTERS & GEOSCIENCES. - ISSN 0098-3004. - ELETTRONICO. - 205:(2025). [10.1016/j.cageo.2025.105992] | 1-gen-2025 | Monaco, SimoneMonaco, LucaApiletti, Daniele + | 1-s2.0-S0098300425001426-main.pdf |
| AI models for automated segmentation of engineered polycystic kidney tubules / Monaco, S., Bussola, N., Buttò, S., Sona, D., Giobergia, F., Jurman, G., Xinaris, C., Apiletti, D.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:(2024). [10.1038/s41598-024-52677-1] | 1-gen-2024 | Monaco, SimoneGiobergia, FlavioApiletti, Daniele + | s41598-024-52677-1.pdf |
| Deep Probability Segmentation: Are segmentation models probability estimators? / Fassio, S., Monaco, S., Apiletti, D.. - (2024). (The 18th IEEE International Conference on Application of Information and Communication Technologies (AICT) Torino (ITA) 25-27 September 2024) [10.1109/AICT61888.2024.10740436]. | 1-gen-2024 | Simone MonacoDaniele Apiletti + | 2409.12535v1.pdf; Deep_Probability_Segmentation_Are_Segmentation_Models_Probability_Estimators.pdf |
| Uncertainty-aware segmentation for rainfall prediction post processing / Monaco, S., Monaco, L., Apiletti, D.. - (2024). (2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Workshops Barcellona August 25, 2024 - August 29, 2024). | 1-gen-2024 | Simone MonacoLuca MonacoDaniele Apiletti | 2408.16792v1.pdf |
| baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy / Koudounas, A., Giobergia, F., Benedetto, I., Monaco, S., Cagliero, L., Apiletti, D., Baralis, E.M.. - ELETTRONICO. - 3473:(2023). (EVALITA 2023 Parma (ITA) September 7th - 8th, 2023). | 1-gen-2023 | Koudounas AlkisGiobergia FlavioBenedetto IreneMonaco SimoneCagliero LucaApiletti DanieleBaralis Elena | paper16.pdf |
| Lorentz-invariant augmentation for high-energy physics / Monaco, S., Barresi, S., Apiletti, D.. - ELETTRONICO. - (2023). (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Turin (ITA) September 18-22 2023). | 1-gen-2023 | Monaco,SimoneBarresi,SebastianoApiletti,Daniele | - |
| Training physics-informed neural networks: One learning to rule them all? / Monaco, S., Apiletti, D.. - In: RESULTS IN ENGINEERING. - ISSN 2590-1230. - ELETTRONICO. - 18:(2023). [10.1016/j.rineng.2023.101023] | 1-gen-2023 | Simone MonacoDaniele Apiletti | 1-s2.0-S2590123023001500-main.pdf |
| A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery / Colomba, L., Farasin, A., Monaco, S., Greco, S., Garza, P., Apiletti, D., Baralis, E., Cerquitelli, T.. - ELETTRONICO. - (2022), pp. 3893-3897. (International Conference on Information and Knowledge Management (CIKM) 2022 Atlanta (Georgia, USA) 17/10/2022 - 21/10/2022) [10.1145/3511808.3557528]. | 1-gen-2022 | Colomba,LucaFarasin,AlessandroMonaco,SimoneGreco,SalvatoreGarza,PaoloApiletti,DanieleBaralis,ElenaCerquitelli,Tania | 3511808.3557528.pdf; BurnedAreaDatasetPaper.pdf |
| Experimental Comparison of Theory-Guided Deep Learning Algorithms / Monaco, S., Apiletti, D.. - ELETTRONICO. - 1652:(2022), pp. 256-265. (European Conference on Advances in Databases and Information Systems (ADBIS 2022) Torino September 5-8 2022) [10.1007/978-3-031-15743-1_24]. | 1-gen-2022 | Monaco, SimoneApiletti, Daniele | - |
| Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers / Monaco, S., Bethaz, P., Apiletti, D., Baldini, F.P., Caso, C., Cerquitelli, T.. - (2022). (EDBT/ICDT Workshop, 6th International workshop on Data Analytics solutions for Real-LIfe APplications Edinburgh March 29 - April 1, 2022). | 1-gen-2022 | Monaco, SimoneBethaz, PaoloApiletti, DanieleCerquitelli, Tania + | AI4Trucks_DarliAP2022.pdf |
| Theory-Guided Deep Learning Algorithms: An Experimental Evaluation / Monaco, S., Apiletti, D., Malnati, G.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 11:18(2022). [10.3390/electronics11182850] | 1-gen-2022 | Simone MonacoDaniele ApilettiGiovanni Malnati | electronics-11-02850.pdf |