Fabio Cuzzolin

170 papers A* 14A 10B 5C 7Misc 2Journal 98Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Review of Uncertainty Representation and Quantification in Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2026	A*	`conf`	Credal Ensemble Distillation for Uncertainty Quantification. AAAI Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez
2026	J	`jnl`	Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model. CoRR Ghifari Adam Faza, Jolan Wauters, Fabio Cuzzolin, Hans Hallez, David Moens
2026	J	`jnl`	Epistemic Generative Adversarial Networks. CoRR Muhammad Mubashar, Fabio Cuzzolin
2026	J	`jnl`	Learning Credal Ensembles via Distributionally Robust Optimization. CoRR Kaizheng Wang, Ghifari Adam Faza, Fabio Cuzzolin, Siu Lun Chau, David Moens, Hans Hallez
2026	J	`jnl`	Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study. CoRR Kaizheng Wang, Yunjia Wang, Fabio Cuzzolin, David Moens, Hans Hallez, Siu Lun Chau
2026	J	`jnl`	TDCC: A Trustworthy Deep Credal Clustering Method for Uncertain Data. IEEE Trans. Cybern. Yuchen Zhu, Kuang Zhou, Fabio Cuzzolin
2025	A	`conf`	A Unified Evaluation Framework for Epistemic Predictions. AISTATS Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	A Unified Evaluation Framework for Epistemic Predictions. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction. CoRR Izzeddin Teeti, Aniket Thomas, Munish Monga, Sachin Kumar Giroh, Uddeshya Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
2025	J	`jnl`	ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction. Trans. Mach. Learn. Res. Izzeddin Teeti, Aniket Thomas, Munish Monga, Sachin Kumar Giroh, Uddeshya Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
2025	J	`jnl`	CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. Neural Networks Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez
2025	J	`jnl`	Credal Ensemble Distillation for Uncertainty Quantification. CoRR Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez
2025	A*	`conf`	Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. ICLR Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2025	J	`jnl`	Credal and Interval Deep Evidential Classifications. CoRR Michele Caprio, Shireen Kudukkil Manchingal, Fabio Cuzzolin
2025	J	`jnl`	Epistemic Wrapping for Uncertainty Quantification. CoRR Maryam Sultana, Neil Yorke-Smith, Kaizheng Wang, Shireen Kudukkil Manchingal, Muhammad Mubashar, Fabio Cuzzolin
2025	J	`jnl`	Future themes in regulating artificial intelligence in investment management. Comput. Law Secur. Rev. Wojtek Buczynski, Felix Steffek, Mateja Jamnik, Fabio Cuzzolin, Barbara J. Sahakian
2025	J	`jnl`	Generalized Decision Focused Learning under Imprecise Uncertainty-Theoretical Study. CoRR Keivan Shariatmadar, Neil Yorke-Smith, Ahmad Osman, Fabio Cuzzolin, Hans Hallez, David Moens
2025	J	`jnl`	Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Yanwei Pang, Fahad Shahbaz Khan, Xin Lu, Fabio Cuzzolin
2025	J	`jnl`	Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know. CoRR Shireen Kudukkil Manchingal, Fabio Cuzzolin
2025	J	`jnl`	Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, Jihyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas
2025	J	`jnl`	Random-Set Large Language Models. CoRR Muhammad Mubashar, Shireen Kudukkil Manchingal, Fabio Cuzzolin
2025	A*	`conf`	Random-Set Neural Networks. ICLR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2025	J	`jnl`	Uncertainty measures: A critical survey. Inf. Fusion Fabio Cuzzolin
2025	J	`jnl`	Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead. CoRR Shireen Kudukkil Manchingal, Armand Amaritei, Mihir Gohad, Maryam Sultana, Julian F. P. Kooij, Fabio Cuzzolin, Andrew Bradley
2024	A	`conf`	A Hybrid Graph Network for Complex Activity Detection in Video. WACV Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin
2024	J	`jnl`	Anomaly detection using Diffusion-based methods. CoRR Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin
2024	J	`jnl`	CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. CoRR Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez
2024	A*	`conf`	Credal Deep Ensembles for Uncertainty Quantification. NeurIPS Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez
2024	A*	`conf`	Credal Learning Theory. NeurIPS Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
2024	J	`jnl`	Credal Learning Theory. CoRR Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
2024	J	`jnl`	Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. CoRR Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2024	J	`jnl`	Deep evolving semi-supervised anomaly detection. CoRR Jack Belham, Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin
2024	—	`ed.`	Epistemic Uncertainty in Artificial Intelligence - First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers Epi UAI Fabio Cuzzolin, Maryam Sultana
2024	J	`jnl`	Feature boosting with efficient attention for scene parsing. CoRR Vivek Singh Bawa, Shailza Sharma, Fabio Cuzzolin
2024	J	`jnl`	Feature boosting with efficient attention for scene parsing. Neurocomputing Vivek Singh Bawa, Shailza Sharma, Fabio Cuzzolin
2024	J	`jnl`	Generalising realisability in statistical learning theory under epistemic uncertainty. CoRR Fabio Cuzzolin
2024	J	`jnl`	ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. CoRR Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh, Mihaela C. Stoian, Eleonora Giunchiglia, Gurkirt Singh, Andrew Bradley, Fabio Cuzzolin
2024	J	`jnl`	Reasoning with random sets: An agenda for the future. CoRR Fabio Cuzzolin
2023	J	`jnl`	A Hybrid Graph Network for Complex Activity Detection in Video. CoRR Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin
2023	J	`jnl`	ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2023	J	`jnl`	ROAD: The Road Event Awareness Dataset for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin
2023	J	`jnl`	Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2023	—	`conf`	Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. ICCV (Workshops) Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
2023	J	`jnl`	Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. CoRR Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
2022	J	`jnl`	An intelligent system for complex violence pattern analysis and detection. Int. J. Intell. Syst. Fath U Min Ullah, Mohammad S. Obaidat, Khan Muhammad, Amin Ullah, Sung Wook Baik, Fabio Cuzzolin, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque
2022	—	`ed.`	Continual Semi-Supervised Learning - First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers CSSL Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco
2022	J	`jnl`	Editorial: Theory of Mind in Humans and in Machines. Frontiers Artif. Intell. Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian
2022	J	`jnl`	Epistemic Deep Learning. CoRR Shireen Kudukkil Manchingal, Fabio Cuzzolin
2022	J	`jnl`	Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. CoRR Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, Tochukwu Onyeogulu, Amirul Islam, Salman Khan, Izzeddin Teeti, James Kinross, Daniel R. Leff, Fabio Cuzzolin, George P. Mylonas
2022	J	`jnl`	ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2022	A*	`conf`	Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning. ACM Multimedia Aishwarya Agarwal, Biplab Banerjee, Fabio Cuzzolin, Subhasis Chaudhuri
2022	J	`jnl`	Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. CoRR Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti, Amirul Islam, Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, George P. Mylonas, Fabio Cuzzolin
2022	J	`jnl`	The intersection probability: betting with probability intervals. CoRR Fabio Cuzzolin
2022	J	`jnl`	Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review. Frontiers Artif. Intell. Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian
2022	J	`jnl`	Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. CoRR Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley
2022	A*	`conf`	Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. IJCAI Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin
2021	J	`jnl`	A geometric approach to conditioning belief functions. CoRR Fabio Cuzzolin
2021	J	`jnl`	A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life. Int. J. Data Sci. Anal. Wojtek Buczynski, Fabio Cuzzolin, Barbara J. Sahakian
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. Expert Syst. Appl. Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque
2021	—	`conf`	International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CSSL Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin
2021	J	`jnl`	International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CoRR Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin
2021	—	`conf`	Multi-weather city: Adverse weather stacking for autonomous driving. ICCVW Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley
2021	J	`jnl`	ROAD: The ROad event Awareness Dataset for Autonomous Driving. CoRR Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin
2021	A	`conf`	SVD-GAN for Real-Time Unsupervised Video Anomaly Detection. BMVC R. Dinesh Jackson Samuel, Fabio Cuzzolin
2021	J	`jnl`	Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. CoRR Salman Khan, Fabio Cuzzolin
2021	A	`conf`	Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. BMVC Salman Khan, Fabio Cuzzolin
2021	—	`book`	The Geometry of Uncertainty - The Geometry of Imprecise Probabilities Fabio Cuzzolin
2021	J	`jnl`	The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. CoRR Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin
2021	J	`jnl`	Uncertainty measures: The big picture. CoRR Fabio Cuzzolin
2021	J	`jnl`	Unsupervised Anomaly Detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS) Using a Deep Residual Autoencoder. IEEE Robotics Autom. Lett. R. Dinesh Jackson Samuel, Fabio Cuzzolin
2021	J	`jnl`	Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder. CoRR R. Dinesh Jackson Samuel, Fabio Cuzzolin
2021	J	`jnl`	YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. CoRR Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley
2020	J	`jnl`	Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration. CoRR Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer
2020	J	`jnl`	Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics. CoRR Neha Bhargava, Fabio Cuzzolin
2020	J	`jnl`	ESAD: Endoscopic Surgeon Action Detection Dataset. CoRR Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova, Alice Leporini, Carmela Landolfo, Armando Stabile, Francesco Setti, Riccardo Muradore, Elettra Oleari, Fabio Cuzzolin
2020	J	`jnl`	Evidence Combination Based on Credal Belief Redistribution for Pattern Classification. IEEE Trans. Fuzzy Syst. Zhun-ga Liu, Yu Liu, Jean Dezert, Fabio Cuzzolin
2020	A*	`conf`	Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation. ACM Multimedia Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri, Fabio Cuzzolin
2020	—	`conf`	Surgical Hand Gesture Prediction for the Operating Room. pHealth Inna Skarga-Bandurova, Rostyslav Siriak, Tetiana Biloborodova, Fabio Cuzzolin, Vivek Singh Bawa, Mohamed Ibrahim Mohamed, R. Dinesh Jackson Samuel
2020	J	`jnl`	Two-Stream AMTnet for Action Detection. CoRR Suman Saha, Gurkirt Singh, Fabio Cuzzolin
2020	—	`conf`	Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network. ACCV (5) Mohammad Asiful Hossain, Kevin Cannons, Daesik Jang, Fabio Cuzzolin, Zhan Xu
2019	J	`jnl`	An End-to-End Baseline for Video Captioning. CoRR Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin
2019	—	`conf`	Datamorphic Testing: A Method for Testing Intelligent Applications. AITest Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin
2019	J	`jnl`	Datamorphic Testing: A Methodology for Testing AI Applications. CoRR Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin
2019	—	`conf`	End-to-End Video Captioning. ICCV Workshops Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin
2019	—	`conf`	Recurrent Convolutions for Causal 3D CNNs. ICCV Workshops Gurkirt Singh, Fabio Cuzzolin
2019	J	`jnl`	Spatio-Temporal Action Localization in a Weakly Supervised Setting. CoRR Kurt Degiorgio, Fabio Cuzzolin
2018	J	`jnl`	A Belief-Theoretical Approach to Example-Based Pose Estimation. IEEE Trans. Fuzzy Syst. Wenjuan Gong, Fabio Cuzzolin
2018	J	`jnl`	Action Detection from a Robot-Car Perspective. CoRR Valentina Fontana, Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Suman Saha, Fabio Cuzzolin
2018	—	`ed.`	Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings BELIEF Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin
2018	J	`jnl`	Belief likelihood function for generalised logistic regression. CoRR Fabio Cuzzolin
2018	—	`conf`	General Geometry of Belief Function Combination. BELIEF Fabio Cuzzolin
2018	—	`conf`	Generalised Max Entropy Classifiers. BELIEF Fabio Cuzzolin
2018	A	`conf`	Incremental Tube Construction for Human Action Detection. BMVC Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr
2018	—	`conf`	Predicting Action Tubes. ECCV Workshops (3) Gurkirt Singh, Suman Saha, Fabio Cuzzolin
2018	J	`jnl`	Predicting Action Tubes. CoRR Gurkirt Singh, Suman Saha, Fabio Cuzzolin
2018	J	`jnl`	Recurrence to the Rescue: Towards Causal Spatiotemporal Representations. CoRR Gurkirt Singh, Fabio Cuzzolin
2018	—	`conf`	TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. ACCV (6) Gurkirt Singh, Suman Saha, Fabio Cuzzolin
2018	J	`jnl`	TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. CoRR Gurkirt Singh, Suman Saha, Fabio Cuzzolin
2018	J	`jnl`	Visions of a generalized probability theory. CoRR Fabio Cuzzolin
2017	A*	`conf`	AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture. ICCV Suman Saha, Gurkirt Singh, Fabio Cuzzolin
2017	J	`jnl`	AMTnet: Action-Micro-Tube regression by end-to-end trainable deep architecture. CoRR Suman Saha, Gurkirt Singh, Fabio Cuzzolin
2017	J	`jnl`	Active Incremental Recognition of Human Activities in a Streaming Context. Pattern Recognit. Lett. Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Nicolò Cesa-Bianchi
2017	J	`jnl`	Incremental Tube Construction for Human Action Detection. CoRR Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr
2017	A*	`conf`	Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction. ICCV Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin
2017	J	`jnl`	Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos. CoRR Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin
2017	A	`conf`	The Total Belief Theorem. UAI Chunlai Zhou, Fabio Cuzzolin
2016	J	`jnl`	Active Learning for Online Recognition of Human Activities from Streaming Videos. CoRR Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Barbara Caputo, Nicolò Cesa-Bianchi
2016	J	`jnl`	Belief functions: Theory and applications (BELIEF 2014). Int. J. Approx. Reason. Fabio Cuzzolin
2016	A	`conf`	Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. BMVC Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin
2016	J	`jnl`	Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. CoRR Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin
2016	—	`conf`	Heterogeneous wireless system testbed for remote image processing in automated vehicles. CSNDSP Cristian Roman, Michael Sapienza, Peter Ball, Shumao Ou, Fabio Cuzzolin, Philip H. S. Torr
2016	J	`jnl`	Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge. CoRR Gurkirt Singh, Fabio Cuzzolin
2015	J	`jnl`	Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. Int. J. Comput. Vis. Fabio Cuzzolin, Diana Mateus, Radu Horaud
2015	J	`jnl`	Robust classification of multivariate time series by imprecise hidden Markov models. Int. J. Approx. Reason. Alessandro Antonucci, Rocco De Rosa, Alessandro Giusti, Fabio Cuzzolin
2014	J	`jnl`	$L_{p}$ Consonant Approximations of Belief Functions. IEEE Trans. Fuzzy Syst. Fabio Cuzzolin
2014	—	`conf`	3D Activity Recognition Using Motion History and Binary Shape Templates. ACCV Workshops (1) Saumya Jetley, Fabio Cuzzolin
2014	—	`ed.`	Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings Belief Functions Fabio Cuzzolin
2014	J	`jnl`	Consistent transformations of belief functions. CoRR Fabio Cuzzolin
2014	J	`jnl`	Feature sampling and partitioning for visual vocabulary generation on large action classification datasets. CoRR Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr
2014	J	`jnl`	Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos. Int. J. Comput. Vis. Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr
2014	J	`jnl`	Learning Pullback HMM Distances. IEEE Trans. Pattern Anal. Mach. Intell. Fabio Cuzzolin, Michael Sapienza
2014	A	`conf`	Online Action Recognition via Nonparametric Incremental Learning. BMVC Rocco De Rosa, Nicolò Cesa-Bianchi, Ilaria Gori, Fabio Cuzzolin
2014	J	`jnl`	Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. CoRR Fabio Cuzzolin, Diana Mateus, Radu Horaud
2013	C	`conf`	Belief modeling regression for pose estimation. FUSION Fabio Cuzzolin, Wenjuan Gong
2012	—	`conf`	Consonant Approximations in the Belief Space. Belief Functions Fabio Cuzzolin
2012	—	`conf`	Game-Theoretical Semantics of Epistemic Probability Transformations. Belief Functions Fabio Cuzzolin
2012	—	`conf`	Generalizations of the Relative Belief Transform. Belief Functions Fabio Cuzzolin
2012	A	`conf`	Learning discriminative space-time actions from weakly labelled videos. BMVC Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr
2012	J	`jnl`	On the relative belief transform. Int. J. Approx. Reason. Fabio Cuzzolin
2012	J	`jnl`	Special Issue on Information Fusion Applications to Human Health and Safety. Inf. Fusion Al Ozonoff, Fabio Cuzzolin, Paul Snow
2011	C	`conf`	On Consistent Approximations of Belief Functions in the Mass Space. ECSQARU Fabio Cuzzolin
2010	J	`jnl`	Credal Semantics of Bayesian Transformations in Terms of Probability Intervals. IEEE Trans. Syst. Man Cybern. Part B Fabio Cuzzolin
2010	C	`conf`	Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. IPMU Alessandro Antonucci, Fabio Cuzzolin
2010	J	`jnl`	Geometry of relative plausibility and relative belief of singletons. Ann. Math. Artif. Intell. Fabio Cuzzolin
2010	J	`jnl`	The geometry of consonant belief functions: Simplicial complexes of necessity measures. Fuzzy Sets Syst. Fabio Cuzzolin
2010	J	`jnl`	Three alternative combinatorial formulations of the theory of evidence. Intell. Data Anal. Fabio Cuzzolin
2009	C	`conf`	Complexes of Outer Consonant Approximations. ECSQARU Fabio Cuzzolin
2009	C	`conf`	The Intersection Probability and Its Properties. ECSQARU Fabio Cuzzolin
2008	J	`jnl`	A Geometric Approach to the Theory of Evidence. IEEE Trans. Syst. Man Cybern. Part C Fabio Cuzzolin
2008	—	`ch.`	A Lattice-Theoretic Interpretation of Independence of Frames. Interval / Probabilistic Uncertainty and Non-Classical Logics Fabio Cuzzolin
2008	B	`conf`	Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments. PRICAI Fabio Cuzzolin
2008	Misc	`conf`	An Interpretation of Consistent Belief Functions in Terms of Simplicial Complexes. ISAIM Fabio Cuzzolin
2008	A*	`conf`	Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration. CVPR Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer
2008	Misc	`conf`	Boolean and Matroidal Independence in Uncertainty Theory. ISAIM Fabio Cuzzolin
2008	A*	`conf`	Coherent Laplacian 3-D protrusion segmentation. CVPR Fabio Cuzzolin, Diana Mateus, David Knossow, Edmond Boyer, Radu Horaud
2008	B	`conf`	Dual Properties of the Relative Belief of Singletons. PRICAI Fabio Cuzzolin
2008	B	`conf`	On the Credal Structure of Consistent Probabilities. JELIA Fabio Cuzzolin
2008	—	`ch.`	Semantics of the Relative Belief of Singletons. Interval / Probabilistic Uncertainty and Non-Classical Logics Fabio Cuzzolin
2007	A*	`conf`	Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment. ICCV Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer
2007	A*	`conf`	Articulated Shape Matching by Robust Alignment of Embedded Representations. ICCV Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer
2007	C	`conf`	On the Orthogonal Projection of a Belief Function. ECSQARU Fabio Cuzzolin
2007	—	`conf`	Robust Spectral 3D-Bodypart Segmentation Along Time. Workshop on Human Motion Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu Horaud
2007	J	`jnl`	Two New Bayesian Approximations of Belief Functions Based on Convex Geometry. IEEE Trans. Syst. Man Cybern. Part B Fabio Cuzzolin
2006	—	`conf`	Using Bilinear Models for View-invariant Action and Identity Recognition. CVPR (2) Fabio Cuzzolin
2005	J	`jnl`	Algebraic structure of the families of compatible frames of discernment. Ann. Math. Artif. Intell. Fabio Cuzzolin
2005	—	`conf`	Evidential modeling for pose estimation. ISIPTA Fabio Cuzzolin, Ruggero Frezza
2005	B	`conf`	On the properties of relative plausibilities. SMC Fabio Cuzzolin
2004	B	`conf`	Action modeling with volumetric data. ICIP Fabio Cuzzolin, Augusto Sarti, Stefano Tubaro
2004	J	`jnl`	Geometry of Dempster's rule of combination. IEEE Trans. Syst. Man Cybern. Part B Fabio Cuzzolin
2004	—	`conf`	Integration of shape constraints in data association filters. CDC Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza
2004	C	`conf`	Invariant action classification with volumetric data. MMSP Fabio Cuzzolin, Augusto Sarti, Stefano Tubaro
2003	—	`conf`	Geometry of Upper Probabilities. ISIPTA Fabio Cuzzolin
2002	—	`conf`	Geometry of Dempster's. FSKD Fabio Cuzzolin
2002	—	`conf`	Integrating shape and dynamic probabilistic models for data association and tracking. CDC Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza
2001	—	`conf`	Geometric analysis of belief space and conditional subspaces. ISIPTA Fabio Cuzzolin, Ruggero Frezza
2001	—	`conf`	Lattice structure of the families of compatible frames of discernment. ISIPTA Fabio Cuzzolin, Ruggero Frezza
1997	A	`conf`	Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition. BMVC Andrea Sorrentino, Fabio Cuzzolin, Ruggero Frezza