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2020 – today
- 2024
[j38]Alessandro Sebastian Podda
, Riccardo Balia, Livio Pompianu, Salvatore Carta, Gianni Fenu, Roberto Saia:
CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis. Digit. Signal Process. 147: 104431 (2024)- [j37]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Eng. Appl. Artif. Intell. 133: 108166 (2024) - [j36]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras:
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107: 102322 (2024) - [j35]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Inf. 15(7): 398 (2024) - [c114]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) 2024: 38-55 - [c113]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras:
Explainable Recommender Systems with Knowledge Graphs and Language Models. ECIR (5) 2024: 352-357 - [c112]Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras:
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces. FG 2024: 1-10 - [c111]Gianni Fenu, Roberta Galici, Mirko Marras:
Data-Efficient Student Profiling in Online Courses. WAILS 2024: 11-20 - [c110]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis:
Learner-centered Ontology for Explainable Educational Recommendation. UMAP (Adjunct Publication) 2024 - [c109]Gianni Fenu, Roberta Galici, Mirko Marras, Diego Reforgiato Recupero:
Exploring Student Interactions with AI in Programming Training. UMAP (Adjunct Publication) 2024 - [c108]Vanni Zavarella, Diego Reforgiato Recupero, Sergio Consoli, Gianni Fenu:
Charting the Landscape of Digital Health: Towards A Knowledge Graph Approach to News Media Analysis. UMAP (Adjunct Publication) 2024 - [c107]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Gianni Fenu, Fadi Boutros, Mirko Marras, Naser Damer:
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - [i23]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR abs/2401.13823 (2024) - [i22]Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras:
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces. CoRR abs/2404.03537 (2024) - [i21]Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2404.10378 (2024) - 2023
- [j34]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access 11: 67567-67599 (2023) - [j33]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. 60(2): 103208 (2023) - [j32]Andrea Atzori, Gianni Fenu, Mirko Marras:
Demographic Bias in Low-Resolution Deep Face Recognition in the Wild. IEEE J. Sel. Top. Signal Process. 17(3): 599-611 (2023) - [j31]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. 260: 110098 (2023) - [j30]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research. Neural Comput. Appl. 35(16): 11625-11651 (2023) - [j29]Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni:
Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems. Pattern Recognit. Lett. 168: 131-137 (2023) - [c106]Salvatore Carta, Gianni Fenu, Alessandro Giuliani, Marco Manolo Manca, Mirko Marras, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia:
Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (full paper). IAI4CH@AI*IA 2023: 83-91 - [c105]Vivek Kumar, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu:
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment. BIAS 2023: 119-133 - [c104]Vincenzo De Leo, Gianni Fenu, David Greco, Nicolo Bidotti, Paolo Platter, Enrico Motta, Andrea Giovanni Nuzzolese, Francesco Osborne, Diego Reforgiato Recupero:
Ontology-Based Generation of Data Platform Assets. IEEE Big Data 2023: 2937-2941 - [c103]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM 2023: 3753-3757 - [c102]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Large Language Models with Knowledge Graphs for Classification Tasks in the Tourism Domain. DL4KG@ISWC 2023 - [c101]Vincenzo De Leo, Andrea Cadeddu, Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. DL4KG@ISWC 2023 - [c100]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. ECIR (3) 2023: 3-19 - [c99]Andrea Atzori, Gianni Fenu, Mirko Marras:
(Un)fair Exposure in Deep Face Rankings at a Distance. IJCB 2023: 1-9 - [c98]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness Benchmark in Recommendation. IIR 2023: 60-65 - [c97]Andrea Atzori, Gianni Fenu, Mirko Marras:
Fairness of Exposure in Forensic Face Rankings. IIR 2023: 91-96 - [c96]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. IIR 2023: 111-116 - [c95]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR 2023: 131-136 - [c94]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. LAK 2023: 441-452 - [c93]Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto, Gianni Fenu:
Towards Self-Explaining Sequence-Aware Recommendation. RecSys 2023: 904-911 - [c92]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP 2023: 135-145 - [c91]Marco Cabras, Maria Ilaria Lunesu, Andrea Pinna, Gianni Fenu:
A Notarization System for Water Quality Parameters. WETSEB 2023: 33-36 - [i20]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. CoRR abs/2301.05944 (2023) - [i19]Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR abs/2304.06182 (2023) - [i18]Andrea Atzori, Gianni Fenu, Mirko Marras:
(Un)fair Exposure in Deep Face Rankings at a Distance. CoRR abs/2308.11732 (2023) - [i17]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR abs/2308.12083 (2023) - [i16]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. CoRR abs/2310.16452 (2023) - [i15]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras:
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - 2022
- [j28]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. Int. J. Artif. Intell. Educ. 32(3): 636-684 (2022) - [j27]Geoffray Bonnin, Danilo Dessì, Gianni Fenu, Martin Hlosta, Mirko Marras, Harald Sack:
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. Future Gener. Comput. Syst. 127: 331-333 (2022) - [j26]Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Leonardo Piano:
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images. J. Comput. Sci. 63: 101816 (2022) - [j25]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
XRecSys: A framework for path reasoning quality in explainable recommendation. Softw. Impacts 14: 100404 (2022) - [c90]Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. AIED (1) 2022: 243-255 - [c89]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) 2022: 552-566 - [c88]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enriching Data Lakes with Knowledge Graphs (short paper). TEXT2KG/MK@ESWC 2022: 123-131 - [c87]Andrea Atzori, Gianni Fenu, Mirko Marras:
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds. EUSPN/ICTH 2022: 212-217 - [c86]Gianni Fenu, Roberta Galici, Mirko Marras, Simone Picciau:
Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning. HELMeTO 2022: 71-83 - [c85]Andrea Atzori, Gianni Fenu, Mirko Marras:
Explaining Bias in Deep Face Recognition via Image Characteristics. IJCB 2022: 1-10 - [c84]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR 2022 - [c83]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys 2022: 710-713 - [c82]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
A Region-based Training Data Segmentation Strategy to Credit Scoring. SECRYPT 2022: 275-282 - [c81]Roberto Saia, Salvatore Carta, Gianni Fenu, Livio Pompianu:
Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach. SECRYPT 2022: 614-619 - [c80]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR 2022: 646-656 - [c79]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. SIGIR 2022: 1839-1843 - [i14]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR abs/2201.08614 (2022) - [i13]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR abs/2204.11241 (2022) - [i12]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. CoRR abs/2204.11243 (2022) - [i11]Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. CoRR abs/2207.01490 (2022) - [i10]Andrea Atzori, Gianni Fenu, Mirko Marras:
Explaining Bias in Deep Face Recognition via Image Characteristics. CoRR abs/2208.11099 (2022) - [i9]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR abs/2209.04954 (2022) - [i8]Andrea Atzori, Gianni Fenu, Mirko Marras:
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds. CoRR abs/2209.15550 (2022) - [i7]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. CoRR abs/2212.08532 (2022) - 2021
- [j24]Gianni Fenu, Francesca Maridina Malloci:
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms. Big Data Cogn. Comput. 5(1): 2 (2021) - [j23]Gianni Fenu, Francesca Maridina Malloci:
Using Multioutput Learning to Diagnose Plant Disease and Stress Severity. Complex. 2021: 6663442:1-6663442:11 (2021) - [j22]Gianni Fenu, Francesca Maridina Malloci:
Lands DSS: A Decision Support System for Forecasting Crop Disease in Southern Sardinia. Int. J. Decis. Support Syst. Technol. 13(1): 21-33 (2021) - [j21]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. 58(1): 102387 (2021) - [j20]Gianni Fenu, Enrico Podda:
An approach of Complex Infrastructure Networks in Ecological Landscape. J. Ubiquitous Syst. Pervasive Networks 14(1): 7-12 (2021) - [j19]Roberto Saia, Alessandro Sebastian Podda, Livio Pompianu, Diego Reforgiato Recupero, Gianni Fenu:
A Blockchain-Based Distributed Paradigm to Secure Localization Services. Sensors 21(20): 6814 (2021) - [j18]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 421-455 (2021) - [c78]Gianni Fenu, Enrico Podda:
ECGraph: A Complex Networks Tool to Classify Critical Points of Ecological Corridors. COMPLEXIS 2021: 47-54 - [c77]Gianni Fenu, Mirko Marras:
Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems. EUSPN/ICTH 2021: 249-254 - [c76]Roberto Saia, Alessandro Sebastian Podda, Gianni Fenu, Riccardo Balia:
Decomposing Training Data to Improve Network Intrusion Detection Performance. KDIR 2021: 241-248 - [c75]Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda, Nicola Sansoni:
A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition. ICCSA (3) 2021: 211-226 - [c74]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR 2021 - [c73]Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni:
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition. Interspeech 2021: 1892-1896 - [c72]Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda:
Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection. PerCom Workshops 2021: 154-159 - [c71]Gianni Fenu, Roberta Galici:
Modelling Student Behavior in Synchronous Online Learning during the COVID-19 Pandemic. L2D@WSDM 2021: 28-40 - [i6]Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda:
Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection. CoRR abs/2103.01506 (2021) - [i5]Gianni Fenu, Giacomo Medda, Mirko Marras, Giacomo Meloni:
Improving Fairness in Speaker Recognition. CoRR abs/2104.14067 (2021) - 2020
- [c70]Gianni Fenu, Enrico Podda:
A model of second-degree Virtual Cut Nodes applied to Complex Networks in Ecological Landscape. ANT/EDI40 2020: 123-128 - [c69]Mirko Marras, Gianni Fenu:
A Framework for Biometric Recognition in Online Content Delivery Platforms. AVI 2020: 72:1-72:3 - [c68]Gianni Fenu, Roberta Galici, Mirko Marras:
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments. CIKM (Workshops) 2020 - [c67]Gianni Fenu, Giacomo Medda, Mirko Marras, Giacomo Meloni:
Improving Fairness in Speaker Recognition. ESSE 2020: 129-136 - [c66]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
A Feature Space Transformation to Intrusion Detection Systems. KDIR 2020: 137-144 - [c65]Gianni Fenu, Hicham Lafhouli, Mirko Marras:
Exploring Algorithmic Fairness in Deep Speaker Verification. ICCSA (4) 2020: 77-93 - [c64]Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras:
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI 2020: 33-49 - [c63]Gianni Fenu, Francesca Maridina Malloci:
Artificial Intelligence Technique in Crop Disease Forecasting: A Case Study on Potato Late Blight Prediction. KES-IDT 2020: 79-89 - [c62]Francesca Maridina Malloci, Laura Portell Penadés, Ludovico Boratto, Gianni Fenu:
A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. WISE (2) 2020: 143-154 - [i4]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. CoRR abs/2006.04275 (2020) - [i3]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR abs/2006.04279 (2020) - [i2]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Equality of Learning Opportunity in Personalized Recommendations. CoRR abs/2006.04282 (2020)
2010 – 2019
- 2019
- [j17]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Comput. Hum. Behav. 92: 468-477 (2019) - [j16]Salvatore Carta, Gianni Fenu, Diego Reforgiato Recupero, Roberto Saia:
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model. J. Inf. Secur. Appl. 46: 13-22 (2019) - [j15]Silvio Barra, Matteo Fraschini, Andrea Casanova, Aniello Castiglione, Gianni Fenu:
PhysioUnicaDB: a dataset of EEG and ECG simultaneously acquired. Pattern Recognit. Lett. 126: 119-122 (2019) - [c61]Ludovico Boratto, Gianni Fenu, Mirko Marras:
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. ECIR (1) 2019: 457-472 - [c60]Salvatore Carta, Gianni Fenu, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance. IC3K 2019: 134-157 - [c59]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Marco Saia:
A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. KDIR 2019: 202-213 - [c58]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Maria Madalina Stanciu:
A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. KDIR 2019: 322-329 - [c57]Gianni Fenu, Francesca Maridina Malloci:
An Application of Machine Learning Technique in Forecasting Crop Disease. ICBDR 2019: 76-82 - [c56]Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Gianni Fenu:
Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification. ICPRAM (Revised Selected Papers) 2019: 136-157 - [c55]Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Gianni Fenu:
AveRobot: An Audio-visual Dataset for People Re-identification and Verification in Human-Robot Interaction. ICPRAM 2019: 255-265 - [c54]Mirko Marras, Pawel Korus, Nasir D. Memon, Gianni Fenu:
Adversarial Optimization for Dictionary Attacks on Speaker Verification. INTERSPEECH 2019: 2913-2917 - [c53]