Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition. - Andrea Sorrentino; Fabio Cuzzolin; Ruggero Frezza (BMVC, 1997)

Lattice structure of the families of compatible frames of discernment. - Fabio Cuzzolin; Ruggero Frezza (ISIPTA, 2001)

Geometric analysis of belief space and conditional subspaces. - Fabio Cuzzolin; Ruggero Frezza (ISIPTA, 2001)

Integrating shape and dynamic probabilistic models for data association and tracking. - Giambattista Gennari; Alessandro Chiuso; Fabio Cuzzolin; Ruggero Frezza (CDC, 2002)

Geometry of Dempster's. - Fabio Cuzzolin (FSKD, 2002)

Geometry of Upper Probabilities. - Fabio Cuzzolin (ISIPTA, 2003)

Integration of shape constraints in data association filters. - Giambattista Gennari; Alessandro Chiuso; Fabio Cuzzolin; Ruggero Frezza (CDC, 2004)

Action modeling with volumetric data. - Fabio Cuzzolin; Augusto Sarti; Stefano Tubaro (ICIP, 2004)

Invariant action classification with volumetric data. - Fabio Cuzzolin; Augusto Sarti; Stefano Tubaro (MMSP, 2004)

Geometry of Dempster's rule of combination. - Fabio Cuzzolin (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Evidential modeling for pose estimation. - Fabio Cuzzolin; Ruggero Frezza (ISIPTA, 2005)

On the properties of relative plausibilities. - Fabio Cuzzolin (SMC, 2005)

Algebraic structure of the families of compatible frames of discernment. - Fabio Cuzzolin (Ann. Math. Artif. Intell., 2005)

Using Bilinear Models for View-invariant Action and Identity Recognition. - Fabio Cuzzolin (CVPR (2), 2006)

On the Orthogonal Projection of a Belief Function. - Fabio Cuzzolin (ECSQARU, 2007)

Robust Spectral 3D-Bodypart Segmentation Along Time. - Fabio Cuzzolin; Diana Mateus; Edmond Boyer; Radu Horaud (Workshop on Human Motion, 2007)

Articulated Shape Matching by Robust Alignment of Embedded Representations. - Diana Mateus; Fabio Cuzzolin; Radu Horaud; Edmond Boyer (ICCV, 2007)

Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment. - Diana Mateus; Fabio Cuzzolin; Radu Horaud; Edmond Boyer (ICCV, 2007)

Two New Bayesian Approximations of Belief Functions Based on Convex Geometry. - Fabio Cuzzolin (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Coherent Laplacian 3-D protrusion segmentation. - Fabio Cuzzolin; Diana Mateus; David Knossow; Edmond Boyer; Radu Horaud (CVPR, 2008)

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration. - Diana Mateus; Radu Horaud; David Knossow; Fabio Cuzzolin; Edmond Boyer (CVPR, 2008)

An Interpretation of Consistent Belief Functions in Terms of Simplicial Complexes. - Fabio Cuzzolin (ISAIM, 2008)

Boolean and Matroidal Independence in Uncertainty Theory. - Fabio Cuzzolin (ISAIM, 2008)

On the Credal Structure of Consistent Probabilities. - Fabio Cuzzolin (JELIA, 2008)

Dual Properties of the Relative Belief of Singletons. - Fabio Cuzzolin (PRICAI, 2008)

Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments. - Fabio Cuzzolin (PRICAI, 2008)

A Geometric Approach to the Theory of Evidence. - Fabio Cuzzolin (IEEE Trans. Syst. Man Cybern. Part C, 2008)

Semantics of the Relative Belief of Singletons. - Fabio Cuzzolin (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

A Lattice-Theoretic Interpretation of Independence of Frames. - Fabio Cuzzolin (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

Complexes of Outer Consonant Approximations. - Fabio Cuzzolin (ECSQARU, 2009)

The Intersection Probability and Its Properties. - Fabio Cuzzolin (ECSQARU, 2009)

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. - Alessandro Antonucci 001; Fabio Cuzzolin (IPMU, 2010)

Geometry of relative plausibility and relative belief of singletons. - Fabio Cuzzolin (Ann. Math. Artif. Intell., 2010)

The geometry of consonant belief functions: Simplicial complexes of necessity measures. - Fabio Cuzzolin (Fuzzy Sets Syst., 2010)

Three alternative combinatorial formulations of the theory of evidence. - Fabio Cuzzolin (Intell. Data Anal., 2010)

Credal Semantics of Bayesian Transformations in Terms of Probability Intervals. - Fabio Cuzzolin (IEEE Trans. Syst. Man Cybern. Part B, 2010)

On Consistent Approximations of Belief Functions in the Mass Space. - Fabio Cuzzolin (ECSQARU, 2011)

Game-Theoretical Semantics of Epistemic Probability Transformations. - Fabio Cuzzolin (Belief Functions, 2012)

Generalizations of the Relative Belief Transform. - Fabio Cuzzolin (Belief Functions, 2012)

Consonant Approximations in the Belief Space. - Fabio Cuzzolin (Belief Functions, 2012)

Learning discriminative space-time actions from weakly labelled videos. - Michael Sapienza; Fabio Cuzzolin; Philip H. S. Torr (BMVC, 2012)

On the relative belief transform. - Fabio Cuzzolin (Int. J. Approx. Reason., 2012)

Special Issue on Information Fusion Applications to Human Health and Safety. - Al Ozonoff; Fabio Cuzzolin; Paul Snow (Inf. Fusion, 2012)

Belief modeling regression for pose estimation. - Fabio Cuzzolin; Wenjuan Gong (FUSION, 2013)

3D Activity Recognition Using Motion History and Binary Shape Templates. - Saumya Jetley; Fabio Cuzzolin (ACCV Workshops (1), 2014)

Online Action Recognition via Nonparametric Incremental Learning. - Rocco De Rosa; Nicolò Cesa-Bianchi; Ilaria Gori; Fabio Cuzzolin (BMVC, 2014)

Consistent transformations of belief functions. - Fabio Cuzzolin (CoRR, 2014)

Feature sampling and partitioning for visual vocabulary generation on large action classification datasets. - Michael Sapienza; Fabio Cuzzolin; Philip H. S. Torr (CoRR, 2014)

Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos. - Michael Sapienza; Fabio Cuzzolin; Philip H. S. Torr (Int. J. Comput. Vis., 2014)

Learning Pullback HMM Distances. - Fabio Cuzzolin; Michael Sapienza (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

$L_{p}$ Consonant Approximations of Belief Functions. - Fabio Cuzzolin (IEEE Trans. Fuzzy Syst., 2014)

Robust classification of multivariate time series by imprecise hidden Markov models. - Alessandro Antonucci 001; Rocco De Rosa; Alessandro Giusti; Fabio Cuzzolin (Int. J. Approx. Reason., 2015)

Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. - Fabio Cuzzolin; Diana Mateus; Radu Horaud (Int. J. Comput. Vis., 2015)

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. - Suman Saha 001; Gurkirt Singh; Michael Sapienza; Philip H. S. Torr; Fabio Cuzzolin (BMVC, 2016)

Heterogeneous wireless system testbed for remote image processing in automated vehicles. - Cristian Roman; Michael Sapienza; Peter Ball; Shumao Ou; Fabio Cuzzolin; Philip H. S. Torr (CSNDSP, 2016)

Active Learning for Online Recognition of Human Activities from Streaming Videos. - Rocco De Rosa; Ilaria Gori; Fabio Cuzzolin; Barbara Caputo; Nicolò Cesa-Bianchi (CoRR, 2016)

Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge. - Gurkirt Singh; Fabio Cuzzolin (CoRR, 2016)

Belief functions: Theory and applications (BELIEF 2014). - Fabio Cuzzolin (Int. J. Approx. Reason., 2016)

AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture. - Suman Saha 001; Gurkirt Singh; Fabio Cuzzolin (ICCV, 2017)

Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction. - Gurkirt Singh; Suman Saha 001; Michael Sapienza; Philip H. S. Torr; Fabio Cuzzolin (ICCV, 2017)

The Total Belief Theorem. - Chunlai Zhou; Fabio Cuzzolin (UAI, 2017)

Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos. - Suman Saha 001; Gurkirt Singh; Michael Sapienza; Philip H. S. Torr; Fabio Cuzzolin (CoRR, 2017)

Active Incremental Recognition of Human Activities in a Streaming Context. - Rocco De Rosa; Ilaria Gori; Fabio Cuzzolin; Nicolò Cesa-Bianchi (Pattern Recognit. Lett., 2017)

TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. - Gurkirt Singh; Suman Saha 001; Fabio Cuzzolin (ACCV (6), 2018)

Generalised Max Entropy Classifiers. - Fabio Cuzzolin (BELIEF, 2018)

General Geometry of Belief Function Combination. - Fabio Cuzzolin (BELIEF, 2018)

Incremental Tube Construction for Human Action Detection. - Harkirat S. Behl; Michael Sapienza; Gurkirt Singh; Suman Saha 001; Fabio Cuzzolin; Philip H. S. Torr (BMVC, 2018)

Predicting Action Tubes. - Gurkirt Singh; Suman Saha 001; Fabio Cuzzolin (ECCV Workshops (3), 2018)

Action Detection from a Robot-Car Perspective. - Valentina Fontana; Gurkirt Singh; Stephen Akrigg; Manuele Di Maio; Suman Saha 001; Fabio Cuzzolin (CoRR, 2018)

Belief likelihood function for generalised logistic regression. - Fabio Cuzzolin (CoRR, 2018)

Visions of a generalized probability theory. - Fabio Cuzzolin (CoRR, 2018)

Recurrence to the Rescue: Towards Causal Spatiotemporal Representations. - Gurkirt Singh; Fabio Cuzzolin (CoRR, 2018)

A Belief-Theoretical Approach to Example-Based Pose Estimation. - Wenjuan Gong; Fabio Cuzzolin (IEEE Trans. Fuzzy Syst., 2018)

Datamorphic Testing: A Method for Testing Intelligent Applications. - Hong Zhu 002; Dongmei Liu; Ian Bayley; Rachel Harrison; Fabio Cuzzolin (AITest, 2019)

End-to-End Video Captioning. - Silvio Olivastri; Gurkirt Singh; Fabio Cuzzolin (ICCV Workshops, 2019)

Recurrent Convolutions for Causal 3D CNNs. - Gurkirt Singh; Fabio Cuzzolin (ICCV Workshops, 2019)

An End-to-End Baseline for Video Captioning. - Silvio Olivastri; Gurkirt Singh; Fabio Cuzzolin (CoRR, 2019)

Spatio-Temporal Action Localization in a Weakly Supervised Setting. - Kurt Degiorgio; Fabio Cuzzolin (CoRR, 2019)

Datamorphic Testing: A Methodology for Testing AI Applications. - Hong Zhu 002; Dongmei Liu; Ian Bayley; Rachel Harrison; Fabio Cuzzolin (CoRR, 2019)

Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network. - Mohammad Asiful Hossain; Kevin Cannons; Daesik Jang; Fabio Cuzzolin; Zhan Xu (ACCV (5), 2020)

Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation. - Omkar Gune; Biplab Banerjee; Subhasis Chaudhuri; Fabio Cuzzolin (ACM Multimedia, 2020)

Surgical Hand Gesture Prediction for the Operating Room. - Inna Skarga-Bandurova; Rostyslav Siriak; Tetiana Biloborodova; Fabio Cuzzolin; Vivek Singh Bawa; Mohamed Ibrahim Mohamed; R. Dinesh Jackson Samuel (pHealth, 2020)

Two-Stream AMTnet for Action Detection. - Suman Saha 001; Gurkirt Singh; Fabio Cuzzolin (CoRR, 2020)

Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics. - Neha Bhargava; Fabio Cuzzolin (CoRR, 2020)

ESAD: Endoscopic Surgeon Action Detection Dataset. - 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 (CoRR, 2020)

Evidence Combination Based on Credal Belief Redistribution for Pattern Classification. - Zhun-ga Liu; Yu Liu 005; Jean Dezert; Fabio Cuzzolin (IEEE Trans. Fuzzy Syst., 2020)

Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. - Salman Khan 001; Fabio Cuzzolin (BMVC, 2021)

SVD-GAN for Real-Time Unsupervised Video Anomaly Detection. - R. Dinesh Jackson Samuel; Fabio Cuzzolin (BMVC, 2021)

Avalanche: An End-to-End Library for Continual Learning. - 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; et al. (CVPR Workshops, 2021)

Multi-weather city: Adverse weather stacking for autonomous driving. - Valentina Musat; Ivan Fursa; Paul Newman 001; Fabio Cuzzolin; Andrew Bradley (ICCVW, 2021)

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. - Ajmal Shahbaz; Salman Khan 004; Mohammad Asiful Hossain; Vincenzo Lomonaco; Kevin Cannons; Zhan Xu; Fabio Cuzzolin (CSSL, 2021)

Avalanche: an End-to-End Library for Continual Learning. - 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; et al. (CoRR, 2021)

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. - 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 001; et al. (CoRR, 2021)

Uncertainty measures: The big picture. - Fabio Cuzzolin (CoRR, 2021)

Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. - Salman Khan 004; Fabio Cuzzolin (CoRR, 2021)

A geometric approach to conditioning belief functions. - Fabio Cuzzolin (CoRR, 2021)

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. - Aduen Benjumea; Izzeddin Teeti; Fabio Cuzzolin; Andrew Bradley (CoRR, 2021)

DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. - Salman Khan 004; Khan Muhammad 001; Tanveer Hussain; Javier Del Ser; Fabio Cuzzolin; Siddhartha Bhattacharyya; Zahid Akhtar; Victor Hugo C. de Albuquerque (Expert Syst. Appl., 2021)

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. - Wojtek Buczynski; Fabio Cuzzolin; Barbara J. Sahakian (Int. J. Data Sci. Anal., 2021)

Unsupervised Anomaly Detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS) Using a Deep Residual Autoencoder. - R. Dinesh Jackson Samuel; Fabio Cuzzolin (IEEE Robotics Autom. Lett., 2021)

The Geometry of Uncertainty - The Geometry of Imprecise Probabilities - Fabio Cuzzolin (Springer, 2021)

Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. - Izzeddin Teeti; Salman Khan 004; Ajmal Shahbaz; Andrew Bradley; Fabio Cuzzolin (IJCAI, 2022)

Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning. - Aishwarya Agarwal; Biplab Banerjee; Fabio Cuzzolin; Subhasis Chaudhuri (ACM Multimedia, 2022)

The intersection probability: betting with probability intervals. - Fabio Cuzzolin (CoRR, 2022)

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. - Izzeddin Teeti; Valentina Musat; Salman Khan 004; Alexander Rast; Fabio Cuzzolin; Andrew Bradley (CoRR, 2022)

Epistemic Deep Learning. - Shireen Kudukkil Manchingal; Fabio Cuzzolin (CoRR, 2022)

Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. - Tochukwu Onyeogulu; Salman Khan 004; Izzeddin Teeti; Amirul Islam; Kaizhe Jin; Adrian Rubio-Solis; Ravi Naik; George P. Mylonas; Fabio Cuzzolin (CoRR, 2022)

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. - Kaizhe Jin; Adrian Rubio-Solis; Ravi Naik; Tochukwu Onyeogulu; Amirul Islam; Salman Khan 004; Izzeddin Teeti; James Kinross; Daniel R. Leff; Fabio Cuzzolin; George P. Mylonas (CoRR, 2022)

Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review. - Christelle Langley; Bogdan-Ionut Cirstea; Fabio Cuzzolin; Barbara J. Sahakian (Frontiers Artif. Intell., 2022)

Editorial: Theory of Mind in Humans and in Machines. - Christelle Langley; Bogdan-Ionut Cirstea; Fabio Cuzzolin; Barbara J. Sahakian (Frontiers Artif. Intell., 2022)

An intelligent system for complex violence pattern analysis and detection. - Fath U Min Ullah; Mohammad S. Obaidat; Khan Muhammad 001; Amin Ullah; Sung Wook Baik; Fabio Cuzzolin; Joel J. P. C. Rodrigues; Victor Hugo C. de Albuquerque (Int. J. Intell. Syst., 2022)

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. - Izzeddin Teeti; Rongali Sai Bhargav; Vivek Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin (ICCV (Workshops), 2023)

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Keivan Shariatmadar; Fabio Cuzzolin (CoRR, 2023)

ROAD: The Road Event Awareness Dataset for Autonomous Driving. - Gurkirt Singh; Stephen Akrigg; Manuele Di Maio; Valentina Fontana; Reza Javanmard Alitappeh; Salman Khan 004; Suman Saha 001; Kossar Jeddi Saravi; Farzad Yousefi; Jacob Culley; Tom Nicholson; Jordan Omokeowa; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ROAD-R: the autonomous driving dataset with logical requirements. - Eleonora Giunchiglia; Mihaela Catalina Stoian; Salman Khan 004; Fabio Cuzzolin; Thomas Lukasiewicz (Mach. Learn., 2023)

Credal Learning Theory. - Michele Caprio; Maryam Sultana; Eleni Elia; Fabio Cuzzolin (NeurIPS, 2024)

Credal Deep Ensembles for Uncertainty Quantification. - Kaizheng Wang; Fabio Cuzzolin; Shireen Kudukkil Manchingal; Keivan Shariatmadar; David Moens; Hans Hallez (NeurIPS, 2024)

A Hybrid Graph Network for Complex Activity Detection in Video. - Salman Khan 004; Izzeddin Teeti; Andrew Bradley; Mohamed Elhoseiny; Fabio Cuzzolin (WACV, 2024)

Reasoning with random sets: An agenda for the future. - Fabio Cuzzolin (CoRR, 2024)

Generalising realisability in statistical learning theory under epistemic uncertainty. - Fabio Cuzzolin (CoRR, 2024)

Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. - Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez (CoRR, 2024)

ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. - Salman Khan 004; Izzeddin Teeti; Reza Javanmard Alitappeh; Mihaela C. Stoian; Eleonora Giunchiglia; Gurkirt Singh; Andrew Bradley; Fabio Cuzzolin (CoRR, 2024)

Deep evolving semi-supervised anomaly detection. - Jack Belham; Aryan Bhosale; Samrat Mukherjee; Biplab Banerjee; Fabio Cuzzolin (CoRR, 2024)

Anomaly detection using Diffusion-based methods. - Aryan Bhosale; Samrat Mukherjee; Biplab Banerjee; Fabio Cuzzolin (CoRR, 2024)

Feature boosting with efficient attention for scene parsing. - Vivek Singh Bawa; Shailza Sharma; Fabio Cuzzolin (Neurocomputing, 2024)

A Unified Evaluation Framework for Epistemic Predictions. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Fabio Cuzzolin (AISTATS, 2025)

Random-Set Neural Networks. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Keivan Shariatmadar; Fabio Cuzzolin (ICLR, 2025)

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. - Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez (ICLR, 2025)

Future themes in regulating artificial intelligence in investment management. - Wojtek Buczynski; Felix Steffek; Mateja Jamnik; Fabio Cuzzolin; Barbara J. Sahakian (Comput. Law Secur. Rev., 2025)

Uncertainty measures: A critical survey. - Fabio Cuzzolin (Inf. Fusion, 2025)

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. - Kaizheng Wang; Keivan Shariatmadar; Shireen Kudukkil Manchingal; Fabio Cuzzolin; David Moens; Hans Hallez (Neural Networks, 2025)

ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction. - Izzeddin Teeti; Aniket Thomas; Munish Monga; Sachin Kumar Giroh; Uddeshya Singh; Andrew Bradley; Biplab Banerjee; Fabio Cuzzolin (Trans. Mach. Learn. Res., 2025)

Generalized Decision Focused Learning under Imprecise Uncertainty-Theoretical Study. - Keivan Shariatmadar; Neil Yorke-Smith; Ahmad Osman; Fabio Cuzzolin; Hans Hallez; David Moens (CoRR, 2025)

Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks. - Yanwei Pang; Fahad Shahbaz Khan; Xin Lu; Fabio Cuzzolin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Random-Set Large Language Models. - Muhammad Mubashar; Shireen Kudukkil Manchingal; Fabio Cuzzolin (CoRR, 2025)

Epistemic Wrapping for Uncertainty Quantification. - Maryam Sultana; Neil Yorke-Smith; Kaizheng Wang; Shireen Kudukkil Manchingal; Muhammad Mubashar; Fabio Cuzzolin (CoRR, 2025)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - 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; et al. (CoRR, 2025)

Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know. - Shireen Kudukkil Manchingal; Fabio Cuzzolin (CoRR, 2025)