Structure and tie strengths in a mobile communication network. - Jari Saramäki; Jukka-Pekka Onnela (MLG@ICML, 2008)

Competition for Popularity in Bipartite Networks. - Mariano Beguerisse-Díaz; Mason A. Porter; Jukka-Pekka Onnela (CoRR, 2009)

Communities in Networks - Mason A. Porter; Jukka-Pekka Onnela; Peter J. Mucha (CoRR, 2009)

Model of community emergence in weighted social networks. - Janos M. Kumpula; Jukka-Pekka Onnela; Jari Saramäki; János Kertész; Kimmo Kaski (Comput. Phys. Commun., 2009)

A comparative study of social network models: Network evolution models and nodal attribute models. - Riitta Toivonen; Lauri Kovanen; Mikko Kivelä; Jukka-Pekka Onnela; Jari Saramäki; Kimmo Kaski (Soc. Networks, 2009)

Geographic constraints on social network groups - Jukka-Pekka Onnela; Samuel Arbesman; Albert-László Barabási; Nicholas A. Christakis (CoRR, 2010)

Understanding the Demographics of Twitter Users. - Alan Mislove; Sune Lehmann; Yong-Yeol Ahn; Jukka-Pekka Onnela; J. Niels Rosenquist (ICWSM, 2011)

Network Automata: Coupling Structure and Function in Dynamic Networks. - David M. D. Smith; Jukka-Pekka Onnela; Chiu Fan Lee; Mark D. Fricker; Neil F. Johnson 002 (Adv. Complex Syst., 2011)

Spreading paths in partially observed social networks - Jukka-Pekka Onnela; Nicholas A. Christakis (CoRR, 2011)

A Simple Generative Model of Collective Online Behaviour. - James P. Gleeson; Davide Cellai; Jukka-Pekka Onnela; Mason A. Porter; Felix Reed-Tsochas (CoRR, 2013)

Topics in social network analysis and network science. - A. James O'Malley; Jukka-Pekka Onnela (CoRR, 2014)

Using sociometers to quantify social interaction patterns. - Jukka-Pekka Onnela; Benjamin N. Waber; Alex Pentland; Sebastian Schnorf; David Lazer (CoRR, 2014)

Investigating population dynamics of the Kumbh Mela through the lens of cell phone data. - Jukka-Pekka Onnela; Tarun Khanna (CoRR, 2015)

Incorporating Contact Network Structure in Cluster Randomized Trials. - Patrick C. Staples; Elizabeth L. Ogburn; Jukka-Pekka Onnela (CoRR, 2015)

Social and Spatial Clustering of People at Humanity's Largest Gathering. - Ian Barnett; Tarun Khanna; Jukka-Pekka Onnela (CoRR, 2016)

Feature-Based Classification of Networks. - Ian Barnett; Nishant Malik; Marieke L. Kuijjer; Peter J. Mucha; Jukka-Pekka Onnela (CoRR, 2016)

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. - Ritabrata Dutta; Marcel Schöngens; Jukka-Pekka Onnela; Antonietta Mira (PASC, 2017)

Spread of Pathogens in the Patient Transfer Network of US Hospitals. - Juan Fernández-Gracia; Jukka-Pekka Onnela; Michael L. Barnett; Víctor M. Eguíluz; Nicholas A. Christakis (SBP-BRiMS, 2017)

Biomarker correlation network in colorectal carcinoma by tumor anatomic location. - Reiko Nishihara; Kimberly Glass; Kosuke Mima; Tsuyoshi Hamada; Jonathan A. Nowak; Zhi Rong Qian; Peter Kraft; Edward L. Giovannucci; Charles S. Fuchs; Andrew T. Chan; John Quackenbush; Shuji Ogino; et al. (BMC Bioinform., 2017)

The Social Bow Tie. - Heather Mattie; Kenth Engø-Monsen; Rich Ling; Jukka-Pekka Onnela (CoRR, 2017)

Comparison of physician networks constructed from thresholded ties versus shared clinical episodes. - Jukka-Pekka Onnela; A. James O'Malley; Nancy L. Keating; Bruce E. Landon (Appl. Netw. Sci., 2018)

Connected but segregated: social networks in rural villages. - Felipe Montes; Roberto C. Jimenez; Jukka-Pekka Onnela (J. Complex Networks, 2018)

Flexible model of network embedding. - Juan Fernández-Gracia; Jukka-Pekka Onnela (CoRR, 2018)

Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. - Ian Barnett; John B. Torous; Patrick C. Staples; Matcheri S. Keshavan; Jukka-Pekka Onnela (J. Am. Medical Informatics Assoc., 2018)

Impact of degree truncation on the spread of a contagious process on networks. - Guy Harling; Jukka-Pekka Onnela (Netw. Sci., 2018)

Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia. - John B. Torous; Patrick C. Staples; Ian Barnett; Luis R. Sandoval; Matcheri S. Keshavan; Jukka-Pekka Onnela (npj Digit. Medicine, 2018)

Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS). - Kathryn P. Connaghan; Jordan R. Green; Sabrina Paganoni; James Chan; Harli Weber; Ella Collins; Brian Richburg; Marziye Eshghi; Jukka-Pekka Onnela; James D. Berry (INTERSPEECH, 2019)

Activity Classification Using Smartphone Gyroscope and Accelerometer Data. - Emily J. Huang; Jukka-Pekka Onnela (CoRR, 2019)

A systematic review of human activity recognition using smartphones. - Marcin Straczkiewicz; Jukka-Pekka Onnela (CoRR, 2019)

Passive data collection and use in healthcare: A systematic review of ethical issues. - Nicole A. Maher; Joeky Tamba Senders; Alexander F. C. Hulsbergen; Nayan Lamba; Michael Parker; Jukka-Pekka Onnela; Annelien L. Bredenoord; Timothy R. Smith; Marike Lianne Daphne Broekman (Int. J. Medical Informatics, 2019)

EndNote: Feature-based classification of networks. - Ian Barnett; Nishant Malik; Marieke L. Kuijjer; Peter J. Mucha; Jukka-Pekka Onnela (Netw. Sci., 2019)

Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders. - Clare Stroud; Jukka-Pekka Onnela; Husseini K. Manji (npj Digit. Medicine, 2019)

Flexible model selection for mechanistic network models. - Sixing Chen; Antonietta Mira; Jukka-Pekka Onnela (J. Complex Networks, 2020)

Determining sample size and length of follow-up for smartphone-based digital phenotyping studies. - Ian Barnett; John B. Torous; Harrison T. Reeder; Justin Baker; Jukka-Pekka Onnela (J. Am. Medical Informatics Assoc., 2020)

Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. - Emily J. Huang; Jukka-Pekka Onnela (Sensors, 2020)

Correction: Huang, E.J., and Onnela, J.P. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020, 20(13), 3706. - Emily J. Huang; Jukka-Pekka Onnela (Sensors, 2020)

Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (Interspeech, 2021)

Bidirectional imputation of spatial GPS trajectories with missingness using sparse online Gaussian Process. - Gang Liu; Jukka-Pekka Onnela (J. Am. Medical Informatics Assoc., 2021)

Beiwe: A data collection platform for high-throughput digital phenotyping. - Jukka-Pekka Onnela; Caleb Dixon; Keary Griffin; Tucker Jaenicke; Leila Minowada; Sean Esterkin; Alvin Siu; Josh Zagorsky; Eli Jones (J. Open Source Softw., 2021)

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation. - Ritabrata Dutta; Marcel Schöngens; Lorenzo Pacchiardi; Avinash Ummadisingu; Nicole Widmer; Pierre Künzli; Jukka-Pekka Onnela; Antonietta Mira (J. Stat. Softw., 2021)

Edge overlap in weighted and directed social networks. - Heather Mattie; Jukka-Pekka Onnela (Netw. Sci., 2021)

A systematic review of smartphone-based human activity recognition methods for health research. - Marcin Straczkiewicz; Peter James; Jukka-Pekka Onnela (npj Digit. Medicine, 2021)

Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (ICASSP, 2022)

Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics. - Till Hoffmann; Jukka-Pekka Onnela (CoRR, 2022)

Covid-19 vaccination and menstrual cycle length in the Apple Women's Health Study. - Elizabeth A. Gibson; Huichu Li; Victoria Fruh; Malaika Gabra; Gowtham Asokan; Anne Marie Z. Jukic; Donna D. Baird; Christine L. Curry; Tyler Fischer-Colbrie; Jukka-Pekka Onnela; Michelle A. Williams; Russ Hauser; et al. (npj Digit. Medicine, 2022)

Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data. - Emily J. Huang; Kebin Yan; Jukka-Pekka Onnela (Sensors, 2022)

Online Anomaly Detection for Smartphone-Based Multivariate Behavioral Time Series Data. - Gang Liu; Jukka-Pekka Onnela (Sensors, 2022)

Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (ICASSP, 2023)

Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (INTERSPEECH, 2023)

STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. - Georgios Efstathiadis; Patrick Emedom-Nnamdi; Arinbjörn Kolbeinsson; Jukka-Pekka Onnela; Junwei Lu (TML4H, 2023)

Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery. - Patrick Emedom-Nnamdi; Timothy R. Smith; Jukka-Pekka Onnela; Junwei Lu (CoRR, 2023)

Cost-based Feature Selection for Network Model Choice. - Louis Raynal; Till Hoffmann; Jukka-Pekka Onnela (J. Comput. Graph. Stat., 2023)

Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures. - Stephen A. Johnson; Marta Karas; Katherine M. Burke; Marcin Straczkiewicz; Zoe A. Scheier; Alison P. Clark; Satoshi Iwasaki; Amir Lahav; Amrita S. Iyer; Jukka-Pekka Onnela; James D. Berry (npj Digit. Medicine, 2023)

Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study. - Huichu Li; Elizabeth A. Gibson; Anne Marie Z. Jukic; Donna D. Baird; Allen J. Wilcox; Christine L. Curry; Tyler Fischer-Colbrie; Jukka-Pekka Onnela; Michelle A. Williams; Russ Hauser; Brent A. Coull; Shruthi Mahalingaiah (npj Digit. Medicine, 2023)

A "one-size-fits-most" walking recognition method for smartphones, smartwatches, and wearable accelerometers. - Marcin Straczkiewicz; Emily J. Huang; Jukka-Pekka Onnela (npj Digit. Medicine, 2023)

Framework for converting mechanistic network models to probabilistic models. - Ravi Goyal; Victor De Gruttola; Jukka-Pekka Onnela (J. Complex Networks, 2023)

Keep, Delete, or Substitute: Frame Selection Strategy for Noise-Robust Speech Emotion Recognition. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (INTERSPEECH, 2024)

Network Layout Algorithm with Covariate Smoothing. - Octavious Smiley; Till Hoffmann; Jukka-Pekka Onnela (CoRR, 2024)

kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection. - Marcos Matabuena; Juan Carlos Vidal; Oscar Hernan Madrid Padilla; Jukka-Pekka Onnela (CoRR, 2024)

Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (CoRR, 2024)

Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech. - Seong-Gyun Leem; Daniel Fulford; Jukka-Pekka Onnela; David Gard; Carlos Busso (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Flexible Bayesian inference on partially observed epidemics. - Maxwell H. Wang; Jukka-Pekka Onnela (J. Complex Networks, 2024)

Approximate inference for longitudinal mechanistic HIV contact network. - Octavious Smiley; Till Hoffmann; Jukka-Pekka Onnela (Appl. Netw. Sci., 2024)

gptools: Scalable Gaussian Process Inference with Stan. - Till Hoffmann; Jukka-Pekka Onnela (J. Stat. Softw., 2025)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces. - Marcos Matabuena; Rahul Ghosal; Pavlo Mozharovskyi; Oscar Hernan Madrid Padilla; Jukka-Pekka Onnela (CoRR, 2025)

Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation. - Maxwell H. Wang; Jukka-Pekka Onnela (Appl. Netw. Sci., 2025)