المؤلفون: Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso

المساهمون: Flaborea, Alessandro, Collorone, Luca, D'AMELY DI MELENDUGNO, GUIDO MARIA, D'Arrigo, Stefano, Prenkaj, Bardh, Galasso, Fabio

مصطلحات موضوعية: anomaly detection, diffusion model, computer vision

Relation: info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-0718-4; info:eu-repo/semantics/altIdentifier/wos/WOS:001169499002068; ispartofbook:Proceedings of the IEEE/CVF International Conference on Computer Vision; IEEE/CVF International Conference on Computer Vision 2023; firstpage:10284; lastpage:10295; numberofpages:12; serie:PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION; https://hdl.handle.net/11573/1699647

الاتاحة: https://hdl.handle.net/11573/1699647
https://doi.org/10.1109/ICCV51070.2023.00947

المؤلفون: Damiano Distante, Bardh Prenkaj, Paola Velardi, Stefano Faralli

المصدر: Future Generation Computer Systems. 125:532-543

مصطلحات موضوعية: Exploit, e-learning, machine learning, drop put prediction, Computer Networks and Communications, Computer science, Online learning, drop put prediction, Early detection, Space (commercial competition), Data science, machine learning, Hardware and Architecture, ComputingMilieux_COMPUTERSANDEDUCATION, Data analysis, Curriculum, e-learning, Software, Student dropout, Dropout (neural networks)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9df4e7de7d891ddde8276ea3404ea5c
https://doi.org/10.1016/j.future.2021.07.002

المؤلفون: Giovanni Stilo, Mario A. Prado-Romero, Bardh Prenkaj

مصطلحات موضوعية: evaluation framework, machine learning, counterfactual, explainable AI, graph neural networks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88726e8efffe3861e11aae38cf0f7bcc
https://hdl.handle.net/11697/206219

المؤلفون: Dario Aragona, Paola Velardi, Bardh Prenkaj, Luca Podo

المصدر: ACM SIGAPP Applied Computing Review. 21:5-18

مصطلحات موضوعية: trajectory prediction, Multivariate statistics, 2019-20 coronavirus outbreak, Exploit, Coronavirus disease 2019 (COVID-19), Computer science, business.industry, pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID 19, sequential deep machine learning, Ocean Engineering, Machine learning, computer.software_genre, medicine.disease_cause, Sequence prediction, medicine, Artificial intelligence, business, computer, Coronavirus

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::749551286e24c55d652b546e6f2ee9c6
https://doi.org/10.1145/3493499.3493500

المؤلفون: Mario A. Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Estevanell-Valladares, Daniel Alejandro Valdés-Pérez

المصدر: Mario Alfonso Prado-Romero

مصطلحات موضوعية: Machine Learning, Counterfactual Explanations, Ensemble, Explainable AI

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41a91a58837b4ac083c8ad1c8cc0f37e
https://hdl.handle.net/11697/200283

المؤلفون: Paola Velardi, Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda

المصدر: SSRN Electronic Journal.

مصطلحات موضوعية: History, Polymers and Plastics, Business and International Management, Industrial and Manufacturing Engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0efd74b624c50d68d4dc671bf05ba6b4
https://doi.org/10.2139/ssrn.4047839

المؤلفون: Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi

المساهمون: SIGAPP, Aragona, Dario, Podo, Luca, Prenkaj, Bardh, Velardi, Paola

مصطلحات موضوعية: COVID 19, trajectory prediction, sequential depp machine learning

Relation: ispartofbook:Proceedings of the 36th Annual ACM Symposium on Applied Computing https://www.sigapp.org/sac/sac2021/file2021/TOC-Jan29-2021.pdf; 36th Annual ACM Symposium on Applied Computing ACM SAC '21; firstpage:10; lastpage:17; numberofpages:8; http://hdl.handle.net/11573/1493780

الاتاحة: http://hdl.handle.net/11573/1493780

المؤلفون: Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda, Paola Velardi

المصدر: Artificial Intelligence in Medicine. 135:102454

مصطلحات موضوعية: Artificial Intelligence, Medicine (miscellaneous)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5f5254f2fad1a2fa680401c9fb0599fa
https://doi.org/10.1016/j.artmed.2022.102454

المؤلفون: Luca Podo, Dario Aragona, Bardh Prenkaj, Paola Velardi

المصدر: SAC

مصطلحات موضوعية: Multivariate statistics, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), business.industry, Computer science, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Deep learning, 020207 software engineering, Context (language use), 02 engineering and technology, 020204 information systems, Epidemic spread, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Artificial intelligence, Viral spread, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ea36ac38ea2ab3608f41ee59908c61d5
https://doi.org/10.1145/3412841.3441883

المؤلفون: Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli

المساهمون: Prenkaj, Bardh, Velardi, Paola, Distante, Damiano, Faralli, Stefano

مصطلحات موضوعية: trajectory prediction, deep sequential methods, attention networks, educational data mining, health records data mining, reproducibility

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000749561302039; ispartofbook:29th ACM Conference on Information and Knowledge Management (CIKM); ACM Conference on Information and Knowledge Management (CIKM); http://hdl.handle.net/11573/1435344; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85095865302

الاتاحة: http://hdl.handle.net/11573/1435344

المؤلفون: Paola Velardi, Stefano Faralli, Damiano Distante, Bardh Prenkaj

المصدر: CIKM

مصطلحات موضوعية: Surface (mathematics), trajectory prediction, Reproducibility, educational data mining, deep sequential methods, Computer science, business.industry, trajectory prediction, deep sequential methods, attention networks, educational data mining, health records data mining, reproducibility, 02 engineering and technology, attention networks, Machine learning, computer.software_genre, Educational data mining, health records data mining, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, 020201 artificial intelligence & image processing, Artificial intelligence, Representation (mathematics), business, reproducibility, computer, Implementation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80c3193fc27e4772c145e4e0846b3578
https://doi.org/10.1145/3340531.3412088

المؤلفون: Stefano Faralli (10762803), Bardh Prenkaj (7474130), Paola Velardi (493006), Damiano Distante (8919782)

مصطلحات موضوعية: Knowledge Representation and Machine Learning, learning analytics, distance learning, student dropout prediction, machine learning, dataset

Relation: https://figshare.com/articles/dataset/UnitelmaSapienza_1_0_zip/14554137

الاتاحة: https://doi.org/10.6084/m9.figshare.14554137.v4

المؤلفون: Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli

المساهمون: Prenkaj, Bardh, Velardi, Paola, Stilo, Giovanni, Distante, Damiano, Faralli, Stefano

مصطلحات موضوعية: e-learning, machine learning, drop put prediction

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000582586400012; volume:53; issue:3; journal:ACM COMPUTING SURVEYS; http://hdl.handle.net/11573/1423249; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85089421048

الاتاحة: http://hdl.handle.net/11573/1423249
https://doi.org/10.1145/3388792

المؤلفون: Bardh Prenkaj, Lorenzo Madeddu, Giovanni Stilo

المصدر: CIKM
Proceedings of the 29th ACM International Conference on Information & Knowledge Management

مصطلحات موضوعية: learning analytics, 0209 industrial biotechnology, educational data mining, Computer science, business.industry, Deep learning, Learning analytics, 02 engineering and technology, data mining, Data science, Educational data mining, student dropout prediction, learning analytics, educational data mining, data mining, student dropout prediction, 020901 industrial engineering & automation, Drop out, ComputingMilieux_COMPUTERSANDEDUCATION, 0202 electrical engineering, electronic engineering, information engineering, Student activities, 020201 artificial intelligence & image processing, Artificial intelligence, business, Student dropout, Dropout (neural networks)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44da87fcc294ef293c66082ddb4a452a
http://hdl.handle.net/11697/160379

المؤلفون: Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo

المصدر: Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science::Machine Learning, Computer Science - Machine Learning, Boosting (machine learning), Artificial neural network, Computer science, business.industry, Deep learning, Sampling (statistics), Machine Learning (stat.ML), Pattern recognition, 02 engineering and technology, Overfitting, Autoencoder, Machine Learning (cs.LG), Statistics::Machine Learning, ComputingMethodologies_PATTERNRECOGNITION, Statistics - Machine Learning, 020204 information systems, Outlier, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Anomaly detection, Artificial intelligence, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03cb04007c511c13658c3ab983ae042
http://arxiv.org/abs/1910.09754

المؤلفون: Bardh Prenkaj, Domenicomichele Silvestri, Maria De Marsico, Emanuele Panizzi, Andrea Coletta

مصطلحات موضوعية: InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI), Computer Networks and Communications, Computer science, Opera, 02 engineering and technology, Multimodal interaction, multimodal wrapper, Software, gesture recognition, hot-word recognition, MIMOSE, music sheet editor software, user-system friendliness, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Immersion (virtual reality), Modalities, business.industry, 020207 software engineering, Usability, Jargon, Hardware and Architecture, business, Gesture

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6cc393cec5a20342083aef31a086a21
http://hdl.handle.net/11573/1313349

المؤلفون: Bardh Prenkaj, Eugenio Nerio Nemmi, Maria De Marsico, Gabriele Saturni

مصطلحات موضوعية: Service (business), Biometrics, Computer Networks and Communications, business.industry, Computer science, Data_MISCELLANEOUS, Feature extraction, Cloud computing, Computer security, computer.software_genre, Facial recognition system, biometrics cloud computing, Computer Science Applications, Face (geometry), Computer Science (miscellaneous), business, Face detection, computer, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0240210aa80f9af1b4c5d27240c9fc
http://hdl.handle.net/11573/1141410

المؤلفون: Gabriele Saturni, Maria De Marsico, Bardh Prenkaj, Eugenio Nerio Nemmi

المصدر: New Trends in Image Analysis and Processing – ICIAP 2017 ISBN: 9783319707419
ICIAP Workshops

مصطلحات موضوعية: Peephole, Service (systems architecture), Biometrics, Exploit, Cover (telecommunications), business.industry, Computer science, Suite, Cloud computing, 02 engineering and technology, Software, Human–computer interaction, biometrics, cloud computing, Microsoft cognitive services, theoretical computer science, computer science (all), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b5d9d335f1056b247c1c734529e6f80
http://hdl.handle.net/11573/1074047

المؤلفون: Prado-Romero M. A., Prenkaj B., Stilo G.

المساهمون: Mario Alfonso Prado Romero, Bardh Prenkaj, Giovanni Stilo, Prado-Romero, M. A., Prenkaj, B., Stilo, G.

مصطلحات موضوعية: counterfactual, evaluation framework, explainable AI, graph neural network, machine learning

Relation: info:eu-repo/semantics/altIdentifier/isbn/9781450394079; ispartofbook:WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining; 16th ACM International Conference on Web Search and Data Mining, WSDM 2023; firstpage:1180; lastpage:1183; numberofpages:4; https://hdl.handle.net/11573/1699643; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85149686010

الاتاحة: https://hdl.handle.net/11573/1699643
https://doi.org/10.1145/3539597.3573026

المؤلفون: Sarvari, H., Domeniconi, C., Prenkaj, B., Stilo, G.

المساهمون: Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo, Sarvari, H., Domeniconi, C., Prenkaj, B., Stilo, G.

مصطلحات موضوعية: anomaly detection, boosting mechanism

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-3-030-75761-8; info:eu-repo/semantics/altIdentifier/isbn/978-3-030-75762-5; info:eu-repo/semantics/altIdentifier/wos/WOS:000719253600008; ispartofbook:Advances in Knowledge Discovery and Data Mining. PAKDD 2021; Pacific-Asia Conference on Knowledge Discovery and Data Mining; volume:12712 LNAI; firstpage:91; lastpage:103; numberofpages:13; https://hdl.handle.net/11573/1699645; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85108594359

الاتاحة: https://hdl.handle.net/11573/1699645
https://doi.org/10.1007/978-3-030-75762-5_8