Max A. Little - RankMe

56 papers A 1Misc 7Journal 39Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Algorithmic syntactic causal identification. CLeaR Dhurim Cakiqi, Max A. Little
2025	J	`jnl`	Combination generators with optimal cache utilization and communication free parallel execution. CoRR Xi He, Max A. Little
2025	J	`jnl`	Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks. CoRR Xi He, Yi Miao, Max A. Little
2025	J	`jnl`	Ellipsoidal Filtration for Topological Denoising of Recurrent Signals. CoRR Omer B. Eryilmaz, Cihan Katar, Max A. Little
2025	J	`jnl`	Flow-Aware Ellipsoidal Filtration for Persistent Homology of Recurrent Signals. CoRR Omer B. Eryilmaz, Cihan Katar, Max A. Little
2025	J	`jnl`	Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion. CoRR Jianqiao Mao, Max A. Little
2025	J	`jnl`	Provably optimal decision trees with arbitrary splitting rules in polynomial time. CoRR Xi He, Max A. Little
2024	J	`jnl`	Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction. J. Mach. Learn. Res. Adam Farooq, Yordan P. Raykov, Petar Raykov, Max A. Little
2024	J	`jnl`	Algorithmic syntactic causal identification. CoRR Dhurim Cakiqi, Max A. Little
2024	J	`jnl`	EKM: An exact, polynomial-time algorithm for the k-medoids problem. CoRR Xi He, Max A. Little
2024	J	`jnl`	Mechanism learning: Reverse causal inference in the presence of multiple unknown confounding through front-door causal bootstrapping. CoRR Jianqiao Mao, Max A. Little
2024	J	`jnl`	Patient-specific game-based transfer method for Parkinson's disease severity prediction. Artif. Intell. Medicine Zaifa Xue, Huibin Lu, Tao Zhang, Max A. Little
2024	J	`jnl`	Polymorphic dynamic programming by algebraic shortcut fusion. Formal Aspects Comput. Max A. Little, Xi He, Ugur Kayas
2023	J	`jnl`	An efficient, provably exact algorithm for the 0-1 loss linear classification problem. CoRR Xi He, Max A. Little
2022	J	`jnl`	Causal GraphSAGE: A robust graph method for classification based on causal sampling. Pattern Recognit. Tao Zhang, Haoran Shan, Max A. Little
2022	J	`jnl`	GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference. J. Open Source Softw. Max A. Little
2022	J	`jnl`	Patient-Specific Game-Based Transfer Method for Parkinson's Disease Severity Prediction. CoRR Zaifa Xue, Huibin Lu, Tao Zhang, Max A. Little
2022	J	`jnl`	TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications. CoRR Kasper Claes, Valentina Ticcinelli, Reham Badawy, Yordan P. Raykov, Luc J. W. Evers, Max A. Little
2021	J	`jnl`	Automatic quality control and enhancement for voice-based remote Parkinson's disease detection. Speech Commun. Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2021	J	`jnl`	Few-shot time series segmentation using prototype-defined infinite hidden Markov models. CoRR Yazan K. Qarout, Yordan P. Raykov, Max A. Little
2021	J	`jnl`	Polymorphic dynamic programming by algebraic shortcut fusion. CoRR Max A. Little, Ugur Kayas
2021	J	`jnl`	Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life. IEEE J. Biomed. Health Informatics Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Bastiaan R. Bloem, Tom M. Heskes, Marjan J. Meinders, Kasper Claes, Max A. Little
2021	J	`jnl`	Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network. IEEE Access Athanasios Tsanas, Max A. Little, Lorraine O. Ramig
2020	J	`jnl`	Latent feature sharing: an adaptive approach to linear decomposition models. CoRR Adam Farooq, Yordan P. Raykov, Petar Raykov, Max A. Little
2020	J	`jnl`	Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities. Sensors Yazan K. Qarout, Yordan P. Raykov, Max A. Little
2020	J	`jnl`	Probabilistic modelling of gait for robust passive monitoring in daily life. CoRR Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Bastiaan R. Bloem, Tom M. Heskes, Marjan J. Meinders, Kasper Claes, Max A. Little
2019	J	`jnl`	Adaptive probabilistic principal component analysis. CoRR Adam Farooq, Yordan P. Raykov, Luc J. W. Evers, Max A. Little
2019	J	`jnl`	Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection. CoRR Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2019	J	`jnl`	Bayesian Pitch Tracking Based on the Harmonic Model. CoRR Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2019	J	`jnl`	Causal bootstrapping. CoRR Max A. Little, Reham Badawy
2019	J	`jnl`	Quality Control in Remote Speech Data Collection. IEEE J. Sel. Top. Signal Process. Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen
2019	Misc	`conf`	Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring Using the Infinite Hidden Markov Model. ICASSP Amir Hossein Poorjam, Yordan P. Raykov, Reham Badawy, Jesper Rindom Jensen, Mads Græsbøll Christensen, Max A. Little
2019	J	`jnl`	Robust Bayesian Pitch Tracking Based on the Harmonic Model. IEEE ACM Trans. Audio Speech Lang. Process. Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2018	Misc	`conf`	A Parametric Approach for Classification of Distortions in Pathological Voices. ICASSP Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen
2018	Misc	`conf`	A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices. ICASSP Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen
2018	J	`jnl`	Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab. Sensors Reham Badawy, Yordan P. Raykov, Luc J. W. Evers, Bastiaan R. Bloem, Marjan J. Faber, Andong Zhan, Kasper Claes, Max A. Little
2018	—	`conf`	Consumer Smartwatches for Collecting Self-Report and Sensor Data: App Design and Engagement. MIE Anna L. Beukenhorst, Jamie C. Sergeant, Max A. Little, John McBeth, William G. Dixon
2017	—	`conf`	A Kalman-based fundamental frequency estimation algorithm. WASPAA Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2017	A	`conf`	Dominant Distortion Classification for Pre-Processing of Vowels in Remote Biomedical Voice Analysis. INTERSPEECH Amir Hossein Poorjam, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen
2016	J	`jnl`	High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection. CoRR Andong Zhan, Max A. Little, Denzil A. Harris, Solomon O. Abiola, Earl Ray Dorsey, Suchi Saria, Andreas Terzis
2016	Misc	`conf`	Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction. UbiComp Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little
2014	—	`conf`	An efficient, approximate path-following algorithm for elastic net based nonlinear spike enhancement. EUSIPCO Max A. Little
2014	Misc	`conf`	High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones. ICASSP Siddharth Arora, Vinayak Venkataraman, Sean Donohue, Kevin M. Biglan, Earl Ray Dorsey, Max A. Little
2013	J	`jnl`	Highly comparative time-series analysis: The empirical structure of time series and their methods. CoRR Ben D. Fulcher, Max A. Little, Nick S. Jones
2013	—	`ch.`	The Virtuous Circle of the Quantified Self: A Human Computational Approach to Improved Health Outcomes. Handbook of Human Computation Paul Wicks, Max A. Little
2012	J	`jnl`	Corrections to "Forecasting Depression in Bipolar Disorder". IEEE Trans. Biomed. Eng. Paul J. Moore, Max A. Little, Patrick E. McSharry, John R. Geddes, Guy M. Goodwin
2012	J	`jnl`	Forecasting Depression in Bipolar Disorder. IEEE Trans. Biomed. Eng. Paul J. Moore, Max A. Little, Patrick E. McSharry, John R. Geddes, Guy M. Goodwin
2012	J	`jnl`	Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease. IEEE Trans. Biomed. Eng. Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Jennifer L. Spielman, Lorraine O. Ramig
2011	—	`conf`	Mathematical Foundations of Nonlinear, Non-Gaussian, and Time-Varying Digital Speech Signal Processing. NOLISP Max A. Little
2011	—	`conf`	Robust parsimonious selection of dysphonia measures for telemonitoring of Parkinson's disease symptom severity. MAVEBA Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig
2010	J	`jnl`	Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests. IEEE Trans. Biomed. Eng. Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig
2010	Misc	`conf`	Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression. ICASSP Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig
2010	Misc	`conf`	Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics. ICASSP Max A. Little, Nick S. Jones
2009	J	`jnl`	Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease. IEEE Trans. Biomed. Eng. Max A. Little, Patrick E. McSharry, Eric J. Hunter, Jennifer L. Spielman, Lorraine O. Ramig
2006	—	`conf`	Nonlinear, Biophysically-Informed Speech Pathology Detection. ICASSP (2) Max A. Little, Patrick E. McSharry, Irene M. Moroz, Stephen J. Roberts
2005	—	`conf`	A Simple, Quasi-linear, Discrete Model of Vocal Fold Dynamics. NOLISP Max A. Little, Patrick E. McSharry, Irene M. Moroz, Stephen J. Roberts