| 2022 | ICPR | Complexity of Representations in Deep Learning. | Tin Kam Ho |
| 2020 | AAAI | Iterative Data Programming for Expanding Text Classification Corpora. | Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta |
| 2019 | AAAI | Bootstrapping Conversational Agents with Weak Supervision. | Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor |
| 2018 | ICPR | Classifier Recommendation Using Data Complexity Measures. | Lus Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho |
| 2016 | WWW | Concept Evolution Modeling Using Semantic Vectors. | Tin Kam Ho, Luis A. Lastras, Oded Shmueli |
| 2015 | IJCNN | Design of the 2015 ChaLearn AutoML challenge. | Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nria Maci, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas |
| 2014 | ICPR | Building Optimal Radio-Frequency Signal Maps. | Piotr Mirowski, Tin Kam Ho, Philip Whiting |
| 2014 | ICPR | Pose Invariant Activity Classification for Multi-floor Indoor Localization. | Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic |
| 2013 | IPIN | SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals. | Piotr Mirowski, Tin Kam Ho, Saehoon Yi, Michael MacDonald |
| 2012 | ICPR | Improving cross-validation based classifier selection using meta-learning. | Jesse H. Krijthe, Tin Kam Ho, Marco Loog |
| 2011 | IM | On the inefficacy of Euclidean classifiers for detecting self-similar Session Initiation Protocol (SIP) messages. | Anil Mehta, Neda Hantehzadeh, Vijay K. Gurbani, Tin Kam Ho, Jun Koshiko, Ramanarayanan Viswanathan |
| 2011 | IPIN | KL-divergence kernel regression for non-Gaussian fingerprint based localization. | Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho |
| 2010 | ICPR | The Landscape Contest at ICPR 2010. | Nria Maci, Tin Kam Ho, Albert Orriols-Puig, Ester Bernad-Mansilla |
| 2008 | MDM | Mobile User Profile Acquisition through Network Observables and Explicit User Queries. | Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Paulo Santos |
| 2008 | SSPR | Data Complexity Analysis: Linkage between Context and Solution in Classification. | Tin Kam Ho |
| 2008 | SSPR | Data Complexity Analysis: Linkage between Context and Solution in Classification. | Tin Kam Ho |
| 2006 | Broadnets | A Statistical Approach to Anomaly Detection in Interdomain Routing. | Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar |
| 2006 | DAS | Exploratory Analysis System for Semi-structured Engineering Logs. | Michael Flaster, Bruce Hillyer, Tin Kam Ho |
| 2006 | ICPR | Class Separability in Spaces Reduced By Feature Selection. | Erinija Pranckeviciene, Tin Kam Ho, Ray L. Somorjai |
| 2006 | SSPR | Symmetries from Uniform Space Covering in Stochastic Discrimination. | Tin Kam Ho |
| 2004 | ICPR | Interactive Tools for Pattern Discovery. | Tin Kam Ho |
| 2004 | ICPR | On Classifier Domains of Competence. | Ester Bernad i Mansilla, Tin Kam Ho |
| 2002 | ICPR | Exploratory Analysis of Point Proximity in Subspaces. | Tin Kam Ho |
| 2002 | ICPR | Uniformity Testing Using Minimal Spanning Tree. | Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao |
| 2001 | ICDAR | Exploration of Contextual Constraints for Character Pre-Classification. | Tin Kam Ho, George Nagy |
| 2000 | ICPR | Measuring the Complexity of Classification Problems. | Tin Kam Ho, Mitra Basu |
| 2000 | ICPR | OCR with No Shape Training. | Tin Kam Ho, George Nagy |
| 1999 | ICDAR | Fast Identification of Stop Words for Font Learning and Keyword Spotting. | Tin Kam Ho |
| 1999 | IJCNN | The learning behavior of single neuron classifiers on linearly separable or nonseparable input. | Mitra Basu, Tin Kam Ho |
| 1998 | ICPR | C4.5 decision forests. | Tin Kam Ho |
| 1998 | ICPR | Bootstrapping text recognition from stop words. | Tin Kam Ho |
| 1998 | SSPR | Nearest Neighbors in Random Subspaces. | Tin Kam Ho |
| 1997 | ICDAR | Enhancing Degraded Document Images via Bitmap Clustering and Averaging. | John D. Hobby, Tin Kam Ho |
| 1996 | DAS | Adaptive Coordination of Multiple Classifiers. | Tin Kam Ho |
| 1996 | DAS | Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements: das'96 Working Group Report. | Stefan Knerr, Tin Kam Ho |
| 1996 | ICPR | Building projectable classifiers of arbitrary complexity. | Tin Kam Ho, Eugene M. Kleinberg |
| 1995 | ICDAR | Random decision forests. | Tin Kam Ho |
| 1994 | ICPR | Estimating the intrinsic difficulty of a recognition problem. | Tin Kam Ho, Henry S. Baird |
| 1993 | ICDAR | Recognition of handwritten digits by combining independent learning vector quantizations. | Tin Kam Ho |
| 1993 | ICDAR | Perfect metrics. | Tin Kam Ho, Henry S. Baird |
| 1992 | ICPR | On multiple classifier systems for pattern recognition. | Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari |
| 1992 | ICPR | World image matching as a technique for degraded text recognition. | Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho |
| 1992 | ICPR | A hypothesis testing approach to word recognition using dynamic feature selection. | Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari |