Publications

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2024	Uncovering gender gap in academia: A comprehensive analysis within the software engineering community. Andrea D'Angelo, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco, and Giovanni Stilo. J. Syst. Softw..
2024	Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, and Giovanni Stilo. IEEE Trans. Emerg. Top. Comput. 12(1).
2024	Robust Stochastic Graph Generator for Counterfactual Explanations. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, and Giovanni Stilo. Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada.
2024	Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, and Giovanni Stilo. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024.
2024	GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, and Giovanni Stilo. Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII (Lecture Notes in Computer Science).
2024	VAMP: Visual Analytics for Microservices Performance. Luca Traini, Jessica L{\'{e}}one, Giovanni Stilo, and Antinisca Di Marco. Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, SAC 2024, Avila, Spain, April 8-12, 2024.
2023	Revisiting CounteRGAN for Counterfactual Explainability of Graphs. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, and Giovanni Stilo. The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023.
2023	Developing and Evaluating Graph Counterfactual Explanation with GRETEL. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, and Giovanni Stilo. Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
2023	Debiaser for Multiple Variables to enhance fairness in classification tasks. Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, and Giovanni Stilo. Inf. Process. Manag. 60(2).
2023	Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, and Marta Simeoni. 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023.
2023	Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). Ludovico Boratto, Stefano Faralli, Mirko Marras, and Giovanni Stilo. Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part III (Lecture Notes in Computer Science).
2023	Democratizing Quality-Based Machine Learning Development through Extended Feature Models. Giordano d'Aloisio, Antinisca Di Marco, and Giovanni Stilo. Fundamental Approaches to Software Engineering - 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22-27, 2023, Proceedings (Lecture Notes in Computer Science).
2023	Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers. . Unknown venue (type=proceedings).
2023	Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco, and Giovanni Stilo. CoRR.
2023	Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape. Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi, Diana Di Marco, Giovanni Stilo, and Antinisca Di Marco. CoRR.
2023	A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, Giovanni Stilo, and Fosca Giannotti. ACM Comput. Surv. 56(7).
2023	Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, and Maozu Guo. Inf. Fusion.
2023	Few-shot partial multi-label learning via prototype rectification. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, and Lizhen Cui. Knowl. Inf. Syst. 65(4).
2023	A Diversified Attention Model for Interpretable Multiple Clusterings. Liang{-}Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, and Xiangliang Zhang. IEEE Trans. Knowl. Data Eng. 35(9).
2023	Directed Acyclic Graph Learning on Attributed Heterogeneous Network. Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, and Maozu Guo. IEEE Trans. Knowl. Data Eng. 35(10).
2023	Incentive-Boosted Federated Crowdsourcing. Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, and Jinglin Zhang. AAAI.
2023	Long-Tail Cross Modal Hashing. Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, and Jinglin Zhang. AAAI.
2023	Enhancing Out-of-Vocabulary Estimation with Subword Attention. Raj Patel and Carlotta Domeniconi. ACL (Findings).
2023	Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains. Raj Patel, Abhisekh Rana, Sean Luke, Carlotta Domeniconi, Hamdi Kavak, Jim Jones, and Andrew T. Crooks. ANNSIM.
2022	Ensemble Approaches for Graph Counterfactual Explanations. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Luis Estevanell{-}Valladares, and Daniel Alejandro Vald{\'{e}}s P{\'{e}}rez. Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022 (CEUR Workshop Proceedings).
2022	GRETEL: Graph Counterfactual Explanation Evaluation Framework. Mario Alfonso Prado{-}Romero and Giovanni Stilo. Proceedings of the 31st ACM International Conference on Information \& Knowledge Management, Atlanta, GA, USA, October 17-21, 2022.
2022	Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. Ludovico Boratto, Stefano Faralli, Mirko Marras, and Giovanni Stilo. Inf. Process. Manag. 59(1).
2022	Network Connectivity Under a Probabilistic Node Failure Model. Lucia Cavallaro, Stefania Costantini, Pasquale De Meo, Antonio Liotta, and Giovanni Stilo. IEEE Trans. Netw. Sci. Eng. 9(4).
2022	Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach. Giordano d'Aloisio, Giovanni Stilo, Antinisca Di Marco, and Andrea D'Angelo. Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers (Communications in Computer and Information Science).
2022	Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). Ludovico Boratto, Stefano Faralli, Mirko Marras, and Giovanni Stilo. Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II (Lecture Notes in Computer Science).
2022	A Manifesto for Applied Data Science - Reasoning from a Business Perspective. Bahne Christiansen, Uwe Neuhaus, Michael Schulz, Adrian Hargreaves, Antinisca Di Marco, Guido Proietti, Fabrizio Rossi, Giovanni Stilo, Mark H. Haney, Andrew Duncan, Daniele Tessera, Tilman Todt, Andreas Brandenberg, and Patricia Feubli. Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022 (CEUR Workshop Proceedings).
2022	DIORAMA: Digital twIn fOR sustAinable territorial MAnagement. Andrea Bianchi, Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Alessandro Di Matteo, Jessica L{\'{e}}one, Giulia Scoccia, Giovanni Stilo, and Luca Traini. Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022 (CEUR Workshop Proceedings).
2022	An empirical study of privacy labels on the Apple iOS mobile app store. Gian Luca Scoccia, Marco Autili, Giovanni Stilo, and Paola Inverardi. 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft@ICSE 2022, Pittsburgh, PA, USA, May 17-18, 2022.
2022	Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. . Unknown venue (type=proceedings).
2022	GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation. Mario Alfonso Prado{-}Romero and Giovanni Stilo. CoRR.
2022	Modeling Quality and Machine Learning Pipelines through Extended Feature Models. Giordano d'Aloisio, Antinisca Di Marco, and Giovanni Stilo. CoRR.
2022	A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation. Mario Alfonso Prado{-}Romero, Bardh Prenkaj, Giovanni Stilo, and Fosca Giannotti. CoRR.
2022	Isoform function prediction by Gene Ontology embedding. Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, and Maozu Guo. Bioinform. 38(19).
2022	Self-paced annotations of crowd workers. Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, and Lizhen Cui. Knowl. Inf. Syst. 64(12).
2022	Weakly Supervised Cross-Modal Hashing. Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, and Maozu Guo. IEEE Trans. Big Data 8(2).
2022	CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, and Xiangliang Zhang. IEEE Trans. Knowl. Data Eng. 34(5).
2022	Flexible Cross-Modal Hashing. Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IEEE Trans. Neural Networks Learn. Syst. 33(1).
2022	Multiview Multi-Instance Multilabel Active Learning. Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IEEE Trans. Neural Networks Learn. Syst. 33(9).
2022	Hypergraph Simultaneous Generators. Bahman Pedrood, Carlotta Domeniconi, and Kathryn B. Laskey. AISTATS (Proceedings of Machine Learning Research).
2022	Few-shot Partial Multi-label Learning with Data Augmentation. Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, and Carlotta Domeniconi. ICDM.
2022	Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents. Abhisekh Rana, Hamdi Kavak, Andrew T. Crooks, Sean Luke, Carlotta Domeniconi, and Jim Jones. SBP-BRiMS (Lecture Notes in Computer Science).
2022	Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders. Priya Mani and Carlotta Domeniconi. CoRR.
2022	Incentive-boosted Federated Crowdsourcing. Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, and Jinglin Zhang. CoRR.
2022	Long-tail Cross Modal Hashing. Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, and Jinglin Zhang. CoRR.
2021	Toward Effective Response to Natural Disasters: A Data Science Approach. Ghulam Mudassir, Evans Etrue Howard, Lorenza Pasquini, Claudio Arbib, Eliseo Clementini, Antinisca Di Marco, and Giovanni Stilo. IEEE Access.
2021	A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses. Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, and Stefano Faralli. ACM Comput. Surv. 53(3).
2021	SismaDL: an ontology to represent post-disaster regulation. Francesca Caroccia, Damiano D'Agostino, Giordano d'Aloisio, Antinisca Di Marco, and Giovanni Stilo. Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021), Vienna, Austria, September 22-24, 2021 (CEUR Workshop Proceedings).
2021	Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). Ludovico Boratto, Stefano Faralli, Mirko Marras, and Giovanni Stilo. Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II (Lecture Notes in Computer Science).
2021	Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, and Giovanni Stilo. Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I (Lecture Notes in Computer Science).
2021	Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings. . Unknown venue (type=proceedings).
2021	Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, and Guoxian Yu. Briefings Bioinform. 22(2).
2021	DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, and Maozu Guo. Bioinform. 37(24).
2021	Multiple clusterings of heterogeneous information networks. Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. Mach. Learn. 110(6).
2021	Individuality- and Commonality-Based Multiview Multilabel Learning. Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IEEE Trans. Cybern. 51(3).
2021	Discovering Multiple Co-Clusterings With Matrix Factorization. Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, and Zili Zhang. IEEE Trans. Cybern. 51(7).
2021	CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, and Xiangliang Zhang. ACM Trans. Knowl. Discov. Data 15(1).
2021	Co-Clustering Ensembles Based on Multiple Relevance Measures. Xianxue Yu, Guoxian Yu, Jun Wang, and Carlotta Domeniconi. IEEE Trans. Knowl. Data Eng. 33(4).
2021	Active Multilabel Crowd Consensus. Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IEEE Trans. Neural Networks Learn. Syst. 32(4).
2021	Group-node attention for community evolution prediction. Matt Revelle, Carlotta Domeniconi, and Ben U. Gelman. ASONAM.
2021	Crowdsourcing with Self-paced Workers. Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, and Lizhen Cui. ICDM.
2021	Few-Shot Partial Multi-Label Learning. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, and Lizhen Cui. ICDM.
2021	Incomplete Multi-view Multi-label Active Learning. Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, and Carlotta Domeniconi. ICDM.
2021	Few-Shot Partial-Label Learning. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, and Carlotta Domeniconi. IJCAI.
2021	Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. SDM.
2021	Unsupervised Selective Manifold Regularized Matrix Factorization. Priya Mani, Carlotta Domeniconi, and Igor Griva. SDM.
2021	Few-Shot Partial-Label Learning. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, and Carlotta Domeniconi. CoRR.
2021	Group-Node Attention for Community Evolution Prediction. Matt Revelle, Carlotta Domeniconi, and Ben U. Gelman. CoRR.
2021	Crowdsourcing with Meta-Workers: A New Way to Save the Budget. Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2021	Open-Set Crowdsourcing using Multiple-Source Transfer Learning. Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2021	Cross-modal Zero-shot Hashing by Label Attributes Embedding. Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2021	Meta Cross-Modal Hashing on Long-Tailed Data. Runmin Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2021	MetaMIML: Meta Multi-Instance Multi-Label Learning. Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, and Maozu Guo. CoRR.
2020	Protein Tertiary Structures Zaman\_Molecules20. Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, and Amarda Shehu. Unknown venue (type=misc). Accessed on YYYY-MM-DD..
2020	A feature-learning-based method for the disease-gene prediction problem. Lorenzo Madeddu, Giovanni Stilo, and Paola Velardi. Int. J. Data Min. Bioinform. 24(1).
2020	ECIR 2020 workshops: assessing the impact of going online. S{\'{e}}rgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Al{\'{\i}}pio Jorge, Mirko Marras, Philipp Mayr, and Giovanni Stilo. SIGIR Forum 54(1).
2020	Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). Ludovico Boratto, Stefano Faralli, Mirko Marras, and Giovanni Stilo. SIGIR Forum 54(1).
2020	Gender, rank, and social networks on an enterprise social media platform. Giorgia Di Tommaso, Mauro Gatti, Michela Iannotta, Ajay Mehra, Giovanni Stilo, and Paola Velardi. Soc. Networks.
2020	Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. Bardh Prenkaj, Giovanni Stilo, and Lorenzo Madeddu. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020.
2020	International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). Ludovico Boratto, Mirko Marras, Stefano Faralli, and Giovanni Stilo. Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II (Lecture Notes in Computer Science).
2020	Predicting disease genes for complex diseases using random watcher-walker. Lorenzo Madeddu, Giovanni Stilo, and Paola Velardi. SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30 - April 3, 2020.
2020	Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings. . Unknown venue (type=proceedings).
2020	ECIR 2020 Workshops: Assessing the Impact of Going Online. S{\'{e}}rgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Al{\'{\i}}pio Jorge, Mirko Marras, Philipp Mayr, and Giovanni Stilo. CoRR.
2020	Network connectivity under a probabilistic node failure model. Lucia Cavallaro, Stefania Costantini, Pasquale De Meo, Antonio Liotta, and Giovanni Stilo. CoRR.
2020	Isoform function prediction based on bi-random walks on a heterogeneous network. Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, and Jun Wang. Bioinform. 36(1).
2020	Differentiating isoform functions with collaborative matrix factorization. Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, and Guoxian Yu. Bioinform. 36(6).
2020	Introduction to the special issue of the ECML PKDD 2020 journal track. Ira Assent, Carlotta Domeniconi, Aristides Gionis, and Eyke H{\"{u}}llermeier. Data Min. Knowl. Discov. 34(5).
2020	Hub-based subspace clustering. Priya Mani and Carlotta Domeniconi. Neurocomputing.
2020	Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, and Xiangliang Zhang. Inf. Fusion.
2020	Multi-label crowd consensus via joint matrix factorization. Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, and Maozu Guo. Knowl. Inf. Syst. 62(4).
2020	Introduction to the special issue of the ECML PKDD 2020 journal track. Ira Assent, Carlotta Domeniconi, Aristides Gionis, and Eyke H{\"{u}}llermeier. Mach. Learn. 109(9-10).
2020	Multi-label zero-shot learning with graph convolutional networks. Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, and Xiangliang Zhang. Neural Networks.
2020	Multi-View Multiple Clusterings Using Deep Matrix Factorization. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. AAAI.
2020	Deep Incomplete Multi-View Multiple Clusterings. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. ICDM.
2020	Partial Multi-label Learning using Label Compression. Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. ICDM.
2020	Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. Mack Sweeney, Matthew Adelsberg, Kathryn B. Laskey, and Carlotta Domeniconi. ICDM.
2020	Multi-typed Objects Multi-view Multi-instance Multi-label Learning. Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. ICDM.
2020	Crowdsourcing with Multiple-Source Knowledge Transfer. Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, and Carlotta Domeniconi. IJCAI.
2020	Weakly-Supervised Multi-view Multi-instance Multi-label Learning. Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IJCAI.
2020	Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. Raj Patel and Carlotta Domeniconi. IJCNN.
2020	Attention-Aware Answers of the Crowd. Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. SDM.
2020	Temporal Artifacts from Edge Accumulation in Social Interaction Networks. Matt Revelle, Carlotta Domeniconi, and Aditya Johri. Unknown venue (type=incollection).
2020	Deep Incomplete Multi-View Multiple Clusterings. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2020	Multi-typed Objects Multi-view Multi-instance Multi-label Learning. Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2020	Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization. Mack Sweeney, Matthew Adelsberg, Kathryn B. Laskey, and Carlotta Domeniconi. CoRR.
2020	Unsupervised Selective Manifold Regularized Matrix Factorization. Priya Mani, Carlotta Domeniconi, and Igor Griva. CoRR.
2019	The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs. Andrea Lenzi, Marianna Maranghi, Giovanni Stilo, and Paola Velardi. Artif. Intell. Medicine.
2019	Guest editorial: social media for personalization and search. Ludovico Boratto, Andreas Kaltenbrunner, and Giovanni Stilo. Inf. Retr. J. 22(1-2).
2019	A topic recommender for journalists. Alessandro Cucchiarelli, Christian Morbidoni, Giovanni Stilo, and Paola Velardi. Inf. Retr. J. 22(1-2).
2019	The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs. Francesco Bonchi, Ilaria Bordino, Francesco Gullo, and Giovanni Stilo. Web Intell. 17(3).
2019	Predicting Disease Genes Using Connectivity and Functional Features. Lorenzo Madeddu, Giovanni Stilo, and Paola Velardi. 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019.
2019	TSTM: A Model to Predict Topics' Popularity in News Providers. Mario Alfonso Prado{-}Romero, Alessandro Celi, Giovanni Stilo, and Alex Coto{-}Santiesteban. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings (Lecture Notes in Computer Science).
2019	Graph-based selective outlier ensembles. Hamed Sarvari, Carlotta Domeniconi, and Giovanni Stilo. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019.
2019	Deep Learning Approach for the Precision Medicine Track. Juan Pablo Consuegra{-}Ayala, Giovanni Stilo, Alessandro Celi, and Amleto Di Salle. Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019, Gaithersburg, Maryland, USA, November 13-15, 2019 (NIST Special Publication).
2019	Quality of Life Assessment of Diabetic patients from health-related blogs. Andrea Lenzi, Marianna Maranghi, Giovanni Stilo, and Paola Velardi. CoRR.
2019	Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection. Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, and Giovanni Stilo. CoRR.
2019	Parallel boosted clustering. Yazhou Ren, Uday Kamath, Carlotta Domeniconi, and Zenglin Xu. Neurocomputing.
2019	Ranking-Based Deep Cross-Modal Hashing. Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, and Maozu Guo. AAAI.
2019	Multiple Independent Subspace Clusterings. Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, and Maozu Guo. AAAI.
2019	Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, and Maozu Guo. AAAI.
2019	Decoy Ensemble Reduction in Template-free Protein Structure Prediction. Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, and Amarda Shehu. BCB.
2019	Selective Matrix Factorization for Multi-relational Data Fusion. Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, and Maozu Guo. DASFAA (1) (Lecture Notes in Computer Science).
2019	Cross-Modal Zero-Shot Hashing. Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. ICDM.
2019	ActiveHNE: Active Heterogeneous Network Embedding. Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, and Xiangliang Zhang. IJCAI.
2019	Multi-View Multiple Clustering. Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. IJCAI.
2019	Discovering Multiple Co-Clusterings in Subspaces. Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, and Maozu Guo. SDM.
2019	EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Uday Kamath, Carlotta Domeniconi, Amarda Shehu, and Kenneth A. De Jong. Unknown venue (type=incollection).
2019	Multiple Independent Subspace Clusterings. Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, and Maozu Guo. CoRR.
2019	Ranking-based Deep Cross-modal Hashing. Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, and Maozu Guo. CoRR.
2019	Multi-View Multiple Clustering. Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2019	Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, and Maozu Guo. CoRR.
2019	ActiveHNE: Active Heterogeneous Network Embedding. Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, and Xiangliang Zhang. CoRR.
2019	Weakly-paired Cross-Modal Hashing. Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2019	Cross-modal Zero-shot Hashing. Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2019	Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. Raj Patel and Carlotta Domeniconi. CoRR.
2019	Active Multi-Label Crowd Consensus. Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, and Xiangliang Zhang. CoRR.
2019	Multi-View Multiple Clusterings using Deep Matrix Factorization. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2019	Attention-Aware Answers of the Crowd. Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. CoRR.
2018	Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). Ludovico Boratto and Giovanni Stilo. SIGIR Forum 52(1).
2018	Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, and Giovanni Stilo. Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018 (CEUR Workshop Proceedings).
2018	What to write and why: a recommender for news media. Alessandro Cucchiarelli, Christian Morbidoni, Giovanni Stilo, and Paola Velardi. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018, Pau, France, April 09-13, 2018.
2018	Wiki-MID: A Very Large Multi-domain Interests Dataset of Twitter Users with Mappings to Wikipedia. Giorgia Di Tommaso, Stefano Faralli, Giovanni Stilo, and Paola Velardi. The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II (Lecture Notes in Computer Science).
2018	A New Framework for Centrality Measures in Multiplex Networks. Carlo Spatocco, Alessandro D'Andrea, Carlotta Domeniconi, and Giovanni Stilo. CoRR.
2018	Graph-based Selective Outlier Ensembles. Hamed Sarvari, Carlotta Domeniconi, and Giovanni Stilo. CoRR.
2018	Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. Guangyuan Fu, Jun Wang, Carlotta Domeniconi, and Guoxian Yu. Bioinform. 34(9).
2018	Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Uday Kamath, Carlotta Domeniconi, and Kenneth A. De Jong. Evol. Comput. 26(1).
2018	Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, and Carlotta Domeniconi. BIBM.
2018	Multi-label Answer Aggregation Based on Joint Matrix Factorization. Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, and Maozu Guo. ICDM.
2018	Cost Effective Multi-label Active Learning via Querying Subexamples. Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, and Zili Zhang. ICDM.
2018	Multiple Co-clusterings. Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, and Zili Zhang. ICDM.
2018	Feature-Induced Partial Multi-label Learning. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, and Xindong Wu. ICDM.
2018	Incomplete Multi-View Weak-Label Learning. Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, and Zili Zhang. IJCAI.
2018	Multi-Label Co-Training. Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, and Zili Zhang. IJCAI.
2018	Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, and Zili Zhang. PRICAI (Lecture Notes in Computer Science).
2018	Multi-view Weak-label Learning based on Matrix Completion. Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, and Zili Zhang. SDM.
2018	Learning Distance Measures. Carlotta Domeniconi. Unknown venue (type=incollection).
2018	Relational Network Classification and Its Applications in Recommender Systems. Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi. Unknown venue (type=incollection).
2017	Hashtag Sense Clustering Based on Temporal Similarity. Giovanni Stilo and Paola Velardi. Comput. Linguistics 43(1).
2017	Report on the Workshop on Social Media for Personalization And Search (SoMePeAS). Ludovico Boratto, Andreas Kaltenbrunner, and Giovanni Stilo. SIGIR Forum 51(1).
2017	Automatic acquisition of a taxonomy of microblogs users' interests. Stefano Faralli, Giovanni Stilo, and Paola Velardi. J. Web Semant..
2017	Detecting network leaders in enterprises. Giorgia Di Tommaso, Giovanni Stilo, and Paola Velardi. 21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, Wellington, New Zealand, April 26-28, 2017.
2017	Capturing Users' Information and Communication Needs for the Press Officers. Giovanni Stilo, Christian Morbidoni, Alessandro Cucchiarelli, and Paola Velardi. Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, SoMePeAS@ECIR 2017, Aberdeen, Scotland, UK, April 9, 2017 (CEUR Workshop Proceedings).
2017	Twixonomy Visualization Interface: How to Wander Around User Preferences. Giorgia Di Tommaso and Giovanni Stilo. Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), Lisbon, Portugal, June 26, 2017 (CEUR Workshop Proceedings).
2017	What to Write? A topic recommender for journalists. Alessandro Cucchiarelli, Christian Morbidoni, Giovanni Stilo, and Paola Velardi. Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, NLPmJ@EMNLP, Copenhagen, Denmark, September 7, 2017.
2017	A Gendered Analysis of Leadership in Enterprise Social Networks. Giorgia Di Tommaso, Giovanni Stilo, and Paola Velardi. Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montr\'eal, Qu\'ebec, Canada, May 15-18, 2017.
2017	Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, SoMePeAS@ECIR 2017, Aberdeen, Scotland, UK, April 9, 2017. . Unknown venue (type=proceedings).
2017	Weighted-object ensemble clustering: methods and analysis. Ya{-}Zhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guo{-}Xian Yu. Knowl. Inf. Syst. 51(2).
2017	The Projective Clustering Ensemble Problem for Advanced Data Clustering. Carlotta Domeniconi, Francesco Gullo, and Andrea Tagarelli. SEBD (CEUR Workshop Proceedings).
2017	Network-based Anomaly Detection for Insider Trading. Adarsh Kulkarni, Priya Mani, and Carlotta Domeniconi. CoRR.
2016	Efficient temporal mining of micro-blog texts and its application to event discovery. Giovanni Stilo and Paola Velardi. Data Min. Knowl. Discov. 30(2).
2016	Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery. Francesco Bonchi, Ilaria Bordino, Francesco Gullo, and Giovanni Stilo. 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016, Omaha, NE, USA, October 13-16, 2016.
2016	MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, and Arthur Zimek. SIGKDD Explor. 18(1).
2016	Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs. Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, and Aditya Johri. EDM.
2016	Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community. Ben U. Gelman, Chris Beckley, Aditya Johri, Carlotta Domeniconi, and Seungwon Yang. L@S.
2016	Persistent Roles in Online Social Networks. Matt Revelle, Carlotta Domeniconi, and Aditya Johri. ECML/PKDD (2) (Lecture Notes in Computer Science).
2016	IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. . Unknown venue (type=proceedings).
2015	Recommendation of microblog users based on hierarchical interest profiles. Stefano Faralli, Giovanni Stilo, and Paola Velardi. Soc. Netw. Anal. Min. 5(1).
2015	A Semantic Recommender for Micro-blog Users. Stefano Faralli, Giovanni Stilo, and Paola Velardi. 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27 - July 2, 2015.
2015	Large Scale Homophily Analysis in Twitter Using a Twixonomy. Stefano Faralli, Giovanni Stilo, and Paola Velardi. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015.
2015	Analysis of women leadership in enterprise social networks. Giorgia Di Tommaso, Giovanni Stilo, and Paola Velardi. CoRR.
2015	Predicting protein functions using incomplete hierarchical labels. Guo{-}Xian Yu, Hailong Zhu, and Carlotta Domeniconi. BMC Bioinform..
2015	Predicting protein function via downward random walks on a gene ontology. Guo{-}Xian Yu, Hailong Zhu, Carlotta Domeniconi, and Jiming Liu. BMC Bioinform..
2015	Integrating multiple networks for protein function prediction. Guo{-}Xian Yu, Hailong Zhu, Carlotta Domeniconi, and Maozu Guo. BMC Syst. Biol. 9(S-1).
2015	Metacluster-based Projective Clustering Ensembles. Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. Mach. Learn. 98(1-2).
2015	Predicting Protein Function Using Multiple Kernels. Guo{-}Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zili Zhang. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1).
2015	Multi2Rank: Multimedia Multiview Ranking. David Etter and Carlotta Domeniconi. BigMM.
2015	Uncovering Trajectories of Informal Learning in Large Online Communities of Creators. Seungwon Yang, Carlotta Domeniconi, Matt Revelle, Mack Sweeney, Ben U. Gelman, Chris Beckley, and Aditya Johri. L@S.
2015	Evidence of Temporal Artifacts in Social Networks. Matt Revelle, Carlotta Domeniconi, and Aditya Johri. MUSE@PKDD/ECML (CEUR Workshop Proceedings).
2015	Finding Community Topics and Membership in Graphs. Matt Revelle, Carlotta Domeniconi, Mack Sweeney, and Aditya Johri. ECML/PKDD (2) (Lecture Notes in Computer Science).
2015	Predicting Preference Tags to Improve Item Recommendation. Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi. SDM.
2015	SemRank: Semantic rank learning for multimedia retrieval. David Etter and Carlotta Domeniconi. ICSC.
2015	Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. Uday Kamath, Carlotta Domeniconi, and Kenneth A. De Jong. CoRR.
2014	Twitter mining for fine-grained syndromic surveillance. Paola Velardi, Giovanni Stilo, Alberto E. Tozzi, and Francesco Gesualdo. Artif. Intell. Medicine 61(3).
2014	Predicting Flu Epidemics Using Twitter and Historical Data. Giovanni Stilo, Paola Velardi, Alberto E. Tozzi, and Francesco Gesualdo. Brain Informatics and Health - International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings (Lecture Notes in Computer Science).
2014	Temporal Semantics: Time-Varying Hashtag Sense Clustering. Giovanni Stilo and Paola Velardi. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Link\"oping, Sweden, November 24-28, 2014. Proceedings (Lecture Notes in Computer Science).
2014	Time Makes Sense: Event Discovery in Twitter Using Temporal Similarity. Giovanni Stilo and Paola Velardi. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014 - Volume I.
2014	Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification". Guo{-}Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zhiwen Yu. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1).
2014	Protein Function Prediction withIncomplete Annotations. Guo{-}Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zhiwen Yu. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3).
2014	Semantic analysis of documents workshop (SemADoc): extended abstract. Evangelos E. Milios and Carlotta Domeniconi. ACM Symposium on Document Engineering.
2014	Semi-Supervised Rank Learning for Multimedia Known-Item Search. David Etter and Carlotta Domeniconi. ICMR.
2014	FLIP: Active Learning for Relational Network Classification. Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi. ECML/PKDD (3) (Lecture Notes in Computer Science).
2014	Boosted Mean Shift Clustering. Ya{-}Zhou Ren, Uday Kamath, Carlotta Domeniconi, and Guoji Zhang. ECML/PKDD (2) (Lecture Notes in Computer Science).
2014	A Weighted Adaptive Mean Shift Clustering Algorithm. Ya{-}Zhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guo{-}Xian Yu. SDM.
2013	Efficent techiniques for an unordered world. Giovanni Stilo. Ph.D. thesis, University of L'Aquila, Italy.
2013	Automated learning of everyday patients' language for medical blogs analytics. Giovanni Stilo, Moreno De Vincenzi, Alberto E. Tozzi, and Paola Velardi. Recent Advances in Natural Language Processing, RANLP 2013, 9-11 September, 2013, Hissar, Bulgaria.
2013	Projective clustering ensembles. Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. Data Min. Knowl. Discov. 26(3).
2013	Protein Function Prediction Using Multilabel Ensemble Classification. Guo{-}Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zhiwen Yu. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4).
2013	An analysis of a spatial EA parallel boosting algorithm. Uday Kamath, Carlotta Domeniconi, and Kenneth A. De Jong. GECCO.
2013	Weighted-Object Ensemble Clustering. Ya{-}Zhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guo{-}Xian Yu. ICDM.
2013	Protein Function Prediction by Integrating Multiple Kernels. Guo{-}Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zili Zhang. IJCAI.
2013	Protein Function Prediction Using Dependence Maximization. Guo{-}Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, and Guoji Zhang. ECML/PKDD (1) (Lecture Notes in Computer Science).
2013	Sparsification and Sampling of Networks for Collective Classification. Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi. SBP (Lecture Notes in Computer Science).
2013	Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. . Unknown venue (type=proceedings).
2012	Semi-supervised ensemble classification in subspaces. Guo{-}Xian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconi, Jane You, and Guoqiang Han. Appl. Soft Comput. 12(5).
2012	Semi-supervised classification based on random subspace dimensionality reduction. Guo{-}Xian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu, and Jane You. Pattern Recognit. 45(3).
2012	Neural Networks and Learning Systems Come Together. Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Bj{\"{o}}rn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, and Derong Liu. IEEE Trans. Neural Networks Learn. Syst. 23(1).
2012	Protein function prediction using weak-label learning. Guo{-}Xian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, and Zhiwen Yu. BCB.
2012	Multiobjective optimization of co-clustering ensembles. Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, and Andrea Tagarelli. GECCO (Companion).
2012	Multi-label Collective Classification Using Adaptive Neighborhoods. Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi. ICMLA (1).
2012	Transductive multi-label ensemble classification for protein function prediction. Guo{-}Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, and Zhiwen Yu. KDD.
2012	Subspace Clustering Ensembles. Carlotta Domeniconi. MultiClust@SDM.
2012	Feature Enriched Nonparametric Bayesian Co-clustering. Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, and Kathryn B. Laskey. PAKDD (1) (Lecture Notes in Computer Science).
2011	Process Mining Manifesto. Wil M. P. Aalst, Arya Adriansyah, Ana Karla Alves Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Mal{\'{u}} Castellanos, Jan Claes, Jonathan E. Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano Leoni, Pavlos Delias, Boudewijn F. Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank Geffen, Sukriti Goel, Christian W. G{\"{u}}nther, Antonella Guzzo, Paul Harmon, Arthur H. M. Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael Muehlen, Jorge Munoz{-}Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel P{\'{e}}rez, Ricardo Seguel P{\'{e}}rez, Marcos Sep{\'{u}}lveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, and Moe Thandar Wynn. Business Process Management Workshops - BPM 2011 International Workshops, Clermont-Ferrand, France, August 29, 2011, Revised Selected Papers, Part I (Lecture Notes in Business Information Processing).
2011	Composite kernels for semi-supervised clustering. Carlotta Domeniconi, Jing Peng, and Bojun Yan. Knowl. Inf. Syst. 28(1).
2011	Latent Topic Models of Surface Syntactic Information. Roberto Basili, Cristina Giannone, Danilo Croce, and Carlotta Domeniconi. AI*IA (Lecture Notes in Computer Science).
2011	Detection of Communities and Bridges in Weighted Networks. Tanwistha Saha, Carlotta Domeniconi, and Huzefa Rangwala. MLDM (Lecture Notes in Computer Science).
2011	Nonparametric Bayesian Co-clustering Ensembles. Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, and Michael I. Jordan. SDM.
2011	Advancing data clustering via projective clustering ensembles. Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. SIGMOD Conference.
2010	Enhancing Single-Objective Projective Clustering Ensembles. Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. ICDM.
2010	Nonparametric Bayesian Clustering Ensembles. Pu Wang, Carlotta Domeniconi, and Kathryn Blackmond Laskey. ECML/PKDD (3) (Lecture Notes in Computer Science).
2009	A Support System for the Analysis and the Management of Complex Ruling Documents. Marco Bianchi, Mauro Draoli, Giorgio Gambosi, and Giovanni Stilo. Business Information Systems Workshops, BIS 2009 International Workshops, Poznan, Poland, April 27-29, 2009. Revised Papers (Lecture Notes in Business Information Processing).
2009	Weighted cluster ensembles: Methods and analysis. Carlotta Domeniconi and Muna Al{-}Razgan. ACM Trans. Knowl. Discov. Data 2(4).
2009	Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge. Pu Wang and Carlotta Domeniconi. ICDM Workshops.
2009	Projective Clustering Ensembles. Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. ICDM.
2009	Topic Significance Ranking of LDA Generative Models. Loulwah AlSumait, Daniel Barbar{\'{a}}, James Gentle, and Carlotta Domeniconi. ECML/PKDD (1) (Lecture Notes in Computer Science).
2009	Latent Dirichlet Bayesian Co-Clustering. Pu Wang, Carlotta Domeniconi, and Kathryn B. Laskey. ECML/PKDD (2) (Lecture Notes in Computer Science).
2009	Clustering Ensembles with Active Constraints. Muna Al{-}Razgan and Carlotta Domeniconi. Unknown venue (type=incollection).
2009	Locally Adaptive Techniques for Pattern Classification. Carlotta Domeniconi and Dimitrios Gunopulos. Unknown venue (type=incollection).
2009	Techniques for Weighted Clustering Ensembles. Carlotta Domeniconi. Unknown venue (type=incollection).
2009	Learning Distance Measures. Carlotta Domeniconi. Unknown venue (type=incollection).
2008	CNIPA, FUB and University of Rome "Tor Vergata" at TREC 2008 Legal Track. Gianni Amati, Marco Bianchi, Mauro Draoli, Alessandro Celi, Giorgio Gambosi, and Giovanni Stilo. Proceedings of The Seventeenth Text REtrieval Conference, TREC 2008, Gaithersburg, Maryland, USA, November 18-21, 2008 (NIST Special Publication).
2008	Cross-domain Text Classification using Wikipedia. Pu Wang, Carlotta Domeniconi, and Jian Hu. IEEE Intell. Informatics Bull. 9(1).
2008	A clustering framework based on subjective and objective validity criteria. Maria Halkidi, Dimitrios Gunopulos, Michalis Vazirgiannis, Nitin Kumar, and Carlotta Domeniconi. ACM Trans. Knowl. Discov. Data 1(4).
2008	On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking. Loulwah AlSumait, Daniel Barbar{\'{a}}, and Carlotta Domeniconi. ICDM.
2008	Detecting Suspicious Behavior in Surveillance Images. Daniel Barbar{\'{a}}, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, and Edgard Lawson. ICDM Workshops.
2008	Using Wikipedia for Co-clustering Based Cross-Domain Text Classification. Pu Wang, Carlotta Domeniconi, and Jian Hu. ICDM.
2008	Building semantic kernels for text classification using wikipedia. Pu Wang and Carlotta Domeniconi. KDD.
2007	Locally adaptive metrics for clustering high dimensional data. Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma, Bojun Yan, Muna Al{-}Razgan, and Dimitris Papadopoulos. Data Min. Knowl. Discov. 14(1).
2006	Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data. Bojun Yan and Carlotta Domeniconi. ECML (Lecture Notes in Computer Science).
2006	An Adaptive Kernel Method for Semi-supervised Clustering. Bojun Yan and Carlotta Domeniconi. ECML (Lecture Notes in Computer Science).
2006	Regression Databases: Probabilistic Querying Using Sparse Learning Sets. Alexander Brodsky, Carlotta Domeniconi, and David Etter. ICMLA.
2006	Detecting outliers using transduction and statistical testing. Daniel Barbar{\'{a}}, Carlotta Domeniconi, and James P. Rogers. KDD.
2006	Weighted Clustering Ensembles. Muna Al{-}Razgan and Carlotta Domeniconi. SDM.
2006	Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering. Bojun Yan and Carlotta Domeniconi. SMC.
2005	Large margin nearest neighbor classifiers. Carlotta Domeniconi, Dimitrios Gunopulos, and Jing Peng. IEEE Trans. Neural Networks 16(4).
2005	Kernel pooled local subspaces for classification. Peng Zhang, Jing Peng, and Carlotta Domeniconi. IEEE Trans. Syst. Man Cybern. Part B 35(3).
2005	Selectivity estimators for multidimensional range queries over real attributes. Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, and Carlotta Domeniconi. VLDB J. 14(2).
2005	A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, and Carlotta Domeniconi. ICDM.
2005	Categorization and Keyword Identification of Unlabeled Documents. Ning Kang, Carlotta Domeniconi, and Daniel Barbar{\'{a}}. ICDM.
2005	On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers. Carlotta Domeniconi and Bojun Yan. SDM.
2004	An Efficient Density-based Approach for Data Mining Tasks. Carlotta Domeniconi and Dimitrios Gunopulos. Knowl. Inf. Syst. 6(6).
2004	Nearest Neighbor Ensemble. Carlotta Domeniconi and Bojun Yan. ICPR (1).
2004	Classifying Documents Without Labels. Daniel Barbar{\'{a}}, Carlotta Domeniconi, and Ning Kang. SDM.
2004	Subspace Clustering of High Dimensional Data. Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, and Sheng Ma. SDM.
2003	Kernel Pooled Local Subspaces for Classification. Peng Zhang, Jing Peng, and Carlotta Domeniconi. CVPR Workshops.
2003	Clustering gene expression data in SQL using locally adaptive metrics. Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, and Sheng Ma. DMKD.
2003	Mining Relevant Text from Unlabelled Documents. Daniel Barbar{\'{a}}, Carlotta Domeniconi, and Ning Kang. ICDM.
2003	Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. Peng Zhang, Jing Peng, and Carlotta Domeniconi. ICDM.
2002	Locally Adaptive Metric Nearest-Neighbor Classification. Carlotta Domeniconi, Jing Peng, and Dimitrios Gunopulos. IEEE Trans. Pattern Anal. Mach. Intell. 24(9).
2002	Non-linear dimensionality reduction techniques for classification and visualization. Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, and Nick Koudas. KDD.
2002	A Classification Approach for Prediction of Target Events in Temporal Sequences. Carlotta Domeniconi, Chang{-}Shing Perng, Ricardo Vilalta, and Sheng Ma. PKDD (Lecture Notes in Computer Science).
2002	Efficient Local Flexible Nearest Neighbor Classification. Carlotta Domeniconi and Dimitrios Gunopulos. SDM.
2001	Incremental Support Vector Machine Construction. Carlotta Domeniconi and Dimitrios Gunopulos. ICDM.
2001	An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. Carlotta Domeniconi and Dimitrios Gunopulos. ICML.
2001	Adaptive Nearest Neighbor Classification Using Support Vector Machines. Carlotta Domeniconi and Dimitrios Gunopulos. NIPS.
2000	Adaptive Metric nearest Neighbor Classification. Carlotta Domeniconi, Dimitrios Gunopulos, and Jing Peng. CVPR.
2000	An Adaptive Metric Machine for Pattern Classification. Carlotta Domeniconi, Jing Peng, and Dimitrios Gunopulos. NIPS.
2000	Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes. Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, and Carlotta Domeniconi. SIGMOD Conference.
1998	Direct gray scale ridge reconstruction in fingerprint images. Carlotta Domeniconi, Sibel Tari, and Ping Liang. ICASSP.